# Blastra — Full Content > Full markdown of every published Blastra blog post and platform guide, > concatenated for LLM ingestion. For a curated index of key pages see > https://blastra.io/llms.txt Documents: 64 # Complete Guide to SourceForge: How AI Changed Its Role for B2B SaaS URL: https://blastra.io/guides/understanding-sourceforge/ Description: Independent 2026 guide to SourceForge for B2B SaaS vendors: what it is, how AI changed its role from download site to LLM citation source, and how to grow your AI citations. ## TL;DR [SourceForge](/directories/sourceforge/) is the oldest software directory still operating at scale - launched in 1999, with over 20 million monthly visitors today. Perceived as a developer-and-IT site, it's largely misunderstood by vendors. AI sees it differently. SourceForge is now among the most important third-party sources AI uses to recommend B2B software - driven by its authority signals (Moz DA 93, decades of indexed comparison pages), the breadth of its data (100,000+ software products listed, with comparison pages for every pair), and a deliberate platform policy that explicitly permits AI models to train on its data - rare among major review directories. The result is an asymmetric bet: the AI-crawl benefit comes regardless of paid tier; the human-browse and demand-gen benefits scale with spend. SourceForge has also been investing in vendor-facing AI features. It's the only major B2B software review and comparison platform that lets vendors track AI search crawls to their listing and comparison pages - already live in v1, with updates coming. Blastra is tracking the rollout. This guide covers what the shift means for your B2B SaaS marketing strategy. --- ## SourceForge Is a Comparison Directory, Not a Download Site SourceForge launched in 1999 as an open-source code repository, nine years before GitHub existed. It's owned today by Slashdot Media, which also runs the Slashdot tech news site. Around 2016 the platform extended its scope to become a B2B [software directory](/glossary/software-directory/) and review site. Today it is positioning itself as the world's largest and most visited B2B software comparison website - competing directly with G2, Capterra, TrustRadius, and other largest players in the space. A common misframing of SourceForge today is from its early history of being "the open-source download site." The reality is broader: SourceForge is where buyers come to find the right software for their need, whether that's open-source, fully commercial B2B SaaS, or hybrid. Many modern B2B SaaS companies maintain an open-source community edition alongside their commercial product, and those vendors appear in both SourceForge's open-source section and its B2B section. The 20M+ monthly visitor figure is corroborated by independent measurement: [Similarweb](https://www.similarweb.com/website/sourceforge.net/) and [Semrush](https://www.semrush.com/website/sourceforge.net/overview/) both report comparable numbers, and SourceForge's own [traffic documentation](https://docs.sourceforge.net/sourceforge-traffic) is itself based on Similarweb data. About a third of traffic is direct (people typing the URL), a third is referral, and less than a third comes from search engines - a distribution that signals strong brand recall and a deep backlink network rather than search-engine dependency. Over 86% of visits are desktop. The UI shows its age, but search-ranking signals are structured data, link graph, and dwell time - none of which the visual chrome affects. SourceForge is a **comparison and review directory** that spans every major category B2B buyers shop in - marketing automation, HR, finance, analytics, dev tools, infrastructure, accounting, e-commerce, and dozens more - alongside its open-source catalog. The platform lists **more than 4,000 B2B software categories** in total, including extensive coverage of new AI categories - much more than other major directories. Category labels [matter for AI search](https://www.similarweb.com/blog/marketing/geo/aeo-for-saas-product-pages/): AI assistants use them to map user queries onto product corpora, and the breadth lets SourceForge surface for queries other directories simply don't have category structure for. That breadth, plus the decades of accumulated SEO authority on the domain, is what makes the platform consequential for vendors well outside the developer-tools stereotype. --- ## The Dual Audience: Humans vs AI SourceForge has two audiences - human visitors and AI crawlers - and they don't overlap as much as you'd expect. ### The human audience The human audience is broader than the legacy developer-and-IT reputation suggests. According to SourceForge, about **31% of its audience is classified as technical** (developers, sysadmins, IT decision-makers); the remaining 69% is spread fairly evenly across business, marketing, HR, and other professional disciplines. Direct-traffic users (roughly a third of all visits) typed SourceForge into their browser because they already know it - a strong signal of repeat-buyer behavior across all professional segments, not just technical ones. Referral traffic comes from a mix of technical forums, knowledge bases, comparison sites, and the company's Slashdot sister property. Beyond brand recall and referral strength, 9 out of 10 visits are desktop, and the SourceForge traffic doc reports desktop visitors converting at roughly 1.7× the rate of mobile users on B2B software queries (SourceForge doesn't define what counts as a conversion). Both signals point to procurement-grade research during work hours, not casual browsing. ### The AI audience - and where it diverges The second audience is AI crawlers and the LLMs they feed. The volume is striking and consistent across every major AI bot. Per [TollBit Analytics](https://tollbit.com/) (Apr 26 - May 25, 2026 window), SourceForge received **113.3M AI bot scrapes** in a single month - around 4.2% of the platform's total inbound traffic - placing it in the **99th percentile across the AI-bot-scraped web** (more AI bot traffic than any other publisher in TollBit's dataset). The per-bot breakdown: | AI bot | Operator | Monthly scrapes | Share of AI traffic | Percentile | |---|---|---|---|---| | ClaudeBot | Anthropic | 20.5M | 18.1% | 99th | | ChatGPT-User | OpenAI | 15.7M | 13.8% | 99th | | OAI-SearchBot | OpenAI | 12.9M | 11.4% | 99th | | PerplexityBot | Perplexity | 9.2M | 8.2% | 99th | The 99th-percentile ranking holds for every individual AI bot - meaning SourceForge is among the most-scraped websites on the web for each major AI operator. SourceForge President Logan Abbott told us the true total is closer to 200M/month when Googlebot is included (TollBit doesn't track Google). The citation pattern, however, varies by AI surface. Hall AI's [2025 review-platform citation analysis](https://usehall.com/guides/review-platform-ai-citation-analysis) - which sampled 456,570 AI answers across ChatGPT, Perplexity, Microsoft Copilot, and Google AI Overviews between May and June 2025 - shows SourceForge leading review-platform citation share on Microsoft Copilot, with smaller (but still meaningful) shares on ChatGPT, Perplexity, and Google AI Overviews. Same product listings, same review corpus, four different citation profiles. Two things explain the Copilot peak: 1. **Open crawler access and explicit training-data permission.** SourceForge's robots.txt is broadly open to AI crawlers - and, more importantly, Abbott confirmed in conversation that the platform actively permits AI models to train on its data. The training-data permission is the most important factor in why SourceForge compounds in AI answers across model generations rather than only at retrieval time. 2. **Index inheritance.** Copilot leans on Bing's index, where SourceForge has ranked deeply for over two decades, so Copilot disproportionately surfaces SourceForge content compared to the other AI platforms (which use different retrieval mixes). The combined effect: SourceForge informs answers broadly across the AI landscape - sometimes as an explicit citation (Hall's data captures this), sometimes as training-data context the model absorbed silently and uses without naming SourceForge. The citation-share peak sits with Copilot; the crawl-volume strength sits with every major AI bot. The asymmetry across AI platforms is in citation distribution, not in whether SourceForge is being read. A second observation, distinct from the platform gap: when AI does cite SourceForge, it cites for categories that don't match its perceived human audience. EMGI Group's 2026 [directory-listings-and-AI-search-citations study](https://emgigroup.com/blog/directory-listings-and-ai-search-citations/) found 95% coverage on SourceForge across the 139 SaaS brands measured (132 listed) - effectively every significant B2B SaaS already has a SourceForge presence - and a **+18 percentage-point lift in AI citation rate** for brands present on the platform versus those absent. The category breakdown is where it gets interesting: | Category | Citation rate on SourceForge-listed brands | |---|---| | **HR tech** | **86%** (12 of 14 brands) | | **Marketing Automation** | **71%** (17 of 24) | | Analytics | 65% (15 of 23) | | Dev Tools | 65% (15 of 23) | | Project Management | 54% (13 of 24) | | CRM | 38% (structural ceiling across all directories per the study) | The reason: AI extraction systems don't weigh the implied brand reputation - they weigh structured data and authority signals. To the AI, the page is well-structured, accessible, and authoritative on the URL. SourceForge covers the categories AI cares about, it grows the category list to keep up with the latest trends, and features the relevant market players in each - some with claimed and actively managed profiles, others unclaimed but still indexed - in enough quantity to serve as a solid corpus for AI to draw from. And reviews on SourceForge demonstrably matter for AI citations. [Qvery AI's 2026 UGC citation analysis](https://qvery.ai/blog/ugc-ai-citations-statistics) ranks SourceForge as the **third most cited user-generated-content platform in the world** by AI search engines - a meaningful position alongside Reddit and Wikipedia. --- ## Three Structural Features Beyond the Crawl-Surface Story Against the full B2B review-platform set - G2, Capterra, TrustRadius, Gartner Peer Insights, SourceForge - SourceForge sits in its own corner. TrustRadius leans enterprise-IT with a moderated long-form review format; Gartner Peer Insights sits within Gartner's broader analyst ecosystem (the same parent that publishes the Magic Quadrant), which in our reading lends it analyst-tier weight with enterprise buyers; G2 and Capterra are now a single ecosystem following the Gartner Digital Markets acquisition. Beyond the open-crawler and training-data story already covered above, three additional structural features set SourceForge apart: - **Newsletter distribution layer.** SourceForge's vendor materials describe a B2B software newsletter with 400,000+ subscribers, bundled into some paid tiers. G2 and Capterra don't expose an equivalent native channel to vendors. - **Sponsored podcast and thought-leadership content.** Higher-tier packages include long-form vendor content (Q&A articles, 30–60 minute podcast episodes) that gets published on SourceForge subdomains. The content itself becomes indexable and citation-eligible - meaning some paid spend creates lasting AI search assets, not just impressions. - **Independent ownership.** With G2's acquisition of Capterra, GetApp, and Software Advice (announced 2025, closed February 2026 - [covered here](/blog/g2-acquires-capterra-gartner-digital-markets/)), the largest review-platform ecosystem is now consolidated under one company. SourceForge is one of the few remaining major platforms still independent - useful diversification for vendors who want presence outside the consolidated ecosystem. --- ## Optimizing Your SourceForge Listing for AI Search Five things matter most for [AI search](/glossary/aeo/) on SourceForge. ### 1. Write descriptions so AI can extract them cleanly LLMs extract sentences in self-contained units - a claim plus enough context to stand alone. SourceForge's full-description field is the largest text surface they get for your product. The structure that extracts well: - Lead sentence states what the product is in plain language. - Each subsequent paragraph leads with a specific capability or audience, then supports with one concrete detail. - Avoid coy phrasing ("revolutionary platform," "next-generation solution"). Models trained on product copy down-weight it as low-information. - Use the named vocabulary your buyers and AI use for your category - if your category has a stable name (CRM, observability, customer data platform), use it explicitly. The [compounding rule for SaaS AI citations](/blog/the-compounding-rule-saas-ai-citations/) explains why extraction-friendly description copy compounds across platforms. ### 2. Treat category placement as an AI surface Category placement on SourceForge should be strategic and consistent with how your product is described everywhere else AI looks - your own site, G2, Capterra, Crunchbase, LinkedIn. Inconsistent category placement across third-party sources creates noise that weakens AI's confidence in any single category claim about your product; consistent placement compounds across the corpus and reinforces it. Practically, that means: pick the category names AI uses for your space (the named, stable ones - CRM, observability, customer data platform - over branded internal vocabulary), match them across your listings, and use SourceForge's allowed category slots to cover the buyer-intent surfaces where your product belongs. ### 3. Make reviews citation-extractable AI assistants quote reviewer phrasing in answers - especially Copilot, which surfaces SourceForge reviews directly. Reviews that get quoted have three features: - Specific feature named (not just "it's great") - Concrete use case described (industry, team size, what they were trying to do) - A noun-verb-outcome shape ("the API let us cut onboarding time from 3 days to 4 hours") When you ask customers for reviews, the prompt you send shapes the response. Generic asks produce generic reviews. Prompted asks produce extractable ones. The same prompt patterns described in [how to get G2 and Capterra reviews](/guides/how-to-get-g2-capterra-reviews/) apply directly on SourceForge. ### 4. Use the upgraded-listing AI-extraction features Upgraded SourceForge listings unlock two features that are unusually well-shaped for AI extraction: - **Custom FAQs.** Paid listings can publish vendor-authored FAQs on the product page. The question-answer shape maps directly to how AI assistants generate responses, which makes FAQ content among the highest-leverage AI-extraction surfaces on the platform. Write FAQs around the actual questions buyers ask AI ("does [product] integrate with X?", "what does [product] cost?", "how is [product] different from Y?") rather than the questions vendors *want* to be asked. - **Category-specific descriptions.** Upgraded listings can tailor their description per category they're listed in, so the same product shows extraction-optimized prose for multiple buyer contexts. Resist the temptation to paste the same description into every category - that wastes the highest-leverage field SourceForge gives paid vendors. ### 5. Match your effort to where your category gets cited If your category gets recommended by Microsoft Copilot - which favors enterprise IT, security, infrastructure, productivity, and increasingly HR tech and marketing automation - SourceForge is over-indexed relative to its human-audience reputation and worth heavy investment. If your category is consumer SaaS or design tools where buyers live inside ChatGPT or Perplexity workflows, SourceForge is under-indexed and the priority probably sits with other platforms. The minimum useful first move on SourceForge: claim the free listing, complete the optimization checklist, ask 3–5 existing customers for reviews, and re-measure AI-citation outcomes over 60–90 days before considering any paid tier. How third-party signals propagate into AI answers across platforms is unpacked in [AI Search Consensus Pattern](/blog/ai-search-consensus-pattern-saas-recommendations/) and [Software Badges Decoded: AI Trust Signals](/blog/software-badges-decoded-ai-trust-signals/). --- ## Packages and Pricing SourceForge offers a free tier plus five paid tiers - **PLUS**, **PREMIUM**, **AMPLIFY**, **PRECISION ABM**, and **ENTERPRISE** - billed annually. Current pricing is available from SourceForge directly via the [public pricing page](https://sourceforge.net/software/vendors/pricing/). Add-on solutions can be layered onto any paid tier: Boost Retargeting, Thought Leadership Sponsored Content, Newsletter Advertising, and a dedicated Podcast Episode. Two structural notes about the pricing model: 1. **Position is tied to plan price.** SourceForge states this directly in vendor documentation: a product's category-page position is influenced by the price of its plan. This is a different model from G2 (which surfaces position through Grid placement based on reviews and satisfaction) and broadly comparable to Capterra's publicly described [PPC (pay-per-click)](https://www.capterra.com/vendors/sign-up) mechanic where paid spend influences visibility. 2. **Free-tier listings are deprioritized in sorting but still indexed.** A free listing exists, is crawlable, can collect reviews, and can earn the Star Rating badge. It sorts below paid listings on category pages, but the sorting order can be changed, and AI doesn't care much about the order. For pure AI-search purposes - where the URL exists and gets indexed - the free tier captures most of the AI-extraction benefit. ### What each tier is for - **Free tier.** Claim and manage your listing, collect reviews, get indexed by AI crawlers. Enough to ship a complete listing, collect reviews, and measure AI-citation outcomes over 60–90 days. See the [public pricing page](https://sourceforge.net/software/vendors/pricing/) for paid-tier details. - **PLUS** - first paid tier. Adds profile admin access, category placement, [buyer-intent data](/glossary/buyer-intent/) tooling, and platform-level visibility controls. - **PREMIUM.** Builds on PLUS with deeper buyer-intent data, more category slots, and closer SourceForge involvement in structured-data setup. - **AMPLIFY.** Adds owned distribution channels - programmatic retargeting, sponsored thought-leadership content, podcast and competitor-intent tracking - that create AI-extraction assets beyond the listing itself. - **PRECISION ABM and ENTERPRISE.** Account-based and custom-scoped tiers for vendors running coordinated multi-channel demand-gen against a specific account list, less for early-stage SaaS testing the platform. A claimed listing only earns its keep if the data stays accurate and current - across descriptions, categories, screenshots, and feature fields. A stale listing degrades both human trust and AI extraction over time, regardless of tier. --- ## Three Patterns Experienced Vendors Spot Three patterns experienced SourceForge vendors recognize that aren't in the documentation. 1. **Comparison pages outrank product pages on branded competitor queries.** SourceForge's auto-generated "[Your Product] vs [Competitor]" pages often rank above the competitor's own site for the head-to-head query. If you're not claimed, the comparison page still exists - and your competitor controls the framing. Claiming is defensive even if you never plan to upgrade past free. 2. **The optimization checklist is more useful than the badge it unlocks.** SourceForge gives claimed vendors an in-admin checklist of fields to complete (descriptions, screenshots, integrations, competitor lists, etc.) - finishing it earns a "Trusted Vendor" badge. The badge is fine; the checklist itself is the more valuable asset, since it's a structured prompt for filling every AI-extraction field on the listing. 3. **Free-tier listings can earn Leader and Top Performer badges.** SourceForge doesn't gate competitive badges to paid tiers. In a category with thin competition and consistent review collection, a free-tier listing can earn the platform's most visible badges - at zero spend. This can happen in emerging categories where the field is open. --- ## Related Reading - [SourceForge in the directory catalog](/directories/sourceforge/) - pricing model, audience, FAQ, badges you can earn - [How to Earn SourceForge Badges](/guides/how-to-earn-sourceforge-badges/) - the execution playbook for Leader, Top Performer, and Star Rating - [AI Visibility Tools Ranked by Review Platform Presence](/blog/ai-visibility-tools-ranked-by-review-platform-presence/) - observed SourceForge presence across 15 vendor profiles - [B2B Software Directories AI SEO Strategy](/blog/b2b-software-directories-ai-seo-strategy/) - cross-platform mechanics of how directory data shows up in AI answers - [Software Badges Decoded: AI Trust Signals](/blog/software-badges-decoded-ai-trust-signals/) - how AI systems weight badge signals across platforms --- *Independent editorial by Blastra. This guide is not sponsored or endorsed by SourceForge or Slashdot Media. Quotes from SourceForge President Logan Abbott and the TollBit data shared by SourceForge are reproduced with permission; analysis, recommendations, and any errors are Blastra's.* --- # How to Collect B2B SaaS Reviews Without Getting in Trouble (2026) URL: https://blastra.io/guides/b2b-saas-review-collection-rules/ Description: Cross-platform review collection rules for G2, Capterra, GPI, and TrustRadius, plus the FTC's $53,088 Fake Reviews Rule and what's at stake for B2B SaaS. ## TL;DR On Thursday, May 21, a post went viral on LinkedIn showing an email from the Marketing Engineer at **Profound** — the unicorn answer engine optimization (AEO) platform — offering a user a $250 Amazon gift card in exchange for a G2 review. The post immediately sparked a debate about whether this counts as a bought review, with people questioning the entire practice of review sites. This guide makes sense of what's acceptable to the industry, what's a gray area, and when the Federal Trade Commission (FTC) gets involved — specifically for B2B SaaS reviews. We focus on five key platforms: G2, Capterra, Gartner Peer Insights (GPI), TrustRadius, and PeerSpot. ## What's happening The [post in question](https://www.linkedin.com/posts/dixonjones_profound-sent-this-email-recently-250-amazon-activity-7463199041527545857-Rixv) came from [Waikay](https://waikay.io/) CEO Dixon Jones, who attributed the email to Nick Lafferty, Founding Marketing Engineer at Profound. Jones contrasted the offer with Waikay's own approach (asking for honest reviews, no incentive), and the comparison framed the public reaction. We have not independently verified the screenshot, and we are not here to litigate any one vendor's conduct. What we can do is lay out the actual rules, platform by platform, plus the FTC, so any vendor watching this thread can check their own program against them. For context on Profound's broader G2 strategy, see our [category leadership playbook](/blog/profound-category-leadership-playbook). > **A note on scope.** This guide is reference material, not legal advice. It summarizes public regulations and platform community guidelines as we read them on the publication date. The consequence ladder below is a way to think about exposure, not a determination of liability in any specific situation. Your in-house counsel writes your final rules. What this guide does **not** cover: - Verification mechanics, character minimums, approval timelines. Those live in our [G2 and Capterra review mechanics guide](/guides/how-to-get-g2-capterra-reviews). - Responding to reviews already published. Our [review-handling guide](/guides/how-to-handle-software-reviews) covers that. - General GPI program mechanics. See [how Gartner Peer Insights actually works](/guides/how-gartner-peer-insights-actually-works). ## Update: G2's Trust & Safety Index (June 1, 2026) _Within two weeks of the screenshot going viral, G2 published its **[Trust & Safety Index](https://sell.g2.com/g2-trust-and-safety)**, a report on how it moderates reviews, landing while the review-incentive debate this guide opens with was still fresh. The Summer 2026 edition covers February 1 to April 30, 2026, and it puts hard numbers behind the enforcement mechanisms described below. Of 244,078 reviews submitted in that window, G2 published 154,625 (63.3%) and removed 89,453 (36.7%). The flags overlap, since one review can trip more than one, but measured against all submissions, 12.7% were caught as fake (31,014), 7.7% for identity issues (18,735), and **5.0% (12,279) for incentive abuse**._ _The sentence that matters most for review campaigns is G2's own: *"Organic and incentivized reviews are both permitted under strict validation rules to reflect the broadest possible voice of the market."* Incentives themselves are allowed. What G2 removes is incentive *abuse* — the same line this guide draws below, where you can reward someone for leaving a review but cannot condition the reward on a favorable one._ _Profound, the vendor named in the gift-card email above, is a useful public data point for where that line falls, with an important caveat. We can't say whether any of Profound's reviews carried the $250 the screenshot showed, or whether that email is genuine — it's a single, unverified screenshot._ _What the public record does show is scale and sourcing. Profound's G2 reviews surged with the controversy: our [May 18 scan](/blog/profound-vs-conductor-aeo) counted 335; the profile then added more than 500 in a two-day span as the screenshot spread, and by June 1 it carried 953. G2 labels each review by how it was collected, and the new ones carry a mix of tags — some seller-invite (the vendor invited the customer), some Incentivized, some both. The Incentivized tags mean G2 was told about those incentives and the disclosure travels with each review; what the tags don't show is the dollar amount. Semrush, with a far larger G2 review base, added just three reviews tagged as incentivized over the same two days of May. The reviews are all still standing, given that G2 moderates on an ongoing basis, including post-publication audits, a count that holds weeks later has effectively cleared that screen. None of that reveals what any reviewer was offered; it shows how the reviews were sourced, that the incentives in the mix were disclosed, and that the reviews met G2's validation rules. Clearing a platform's rules is a separate test from the FTC's, which the rest of this guide covers._ ## The consequence ladder Think of the consequences as a ladder: cheap, private outcomes at the bottom; expensive, public ones at the top. Vendors often worry only about the bottom rung, where a moderator rejects the review. The full ladder runs to FTC civil penalty, with reputational damage as a parallel risk that has no ceiling. **Rung 1. Failed moderation.** The platform rejects the review. The vendor may never hear about it. No public mark on the profile. **Rung 2. Platform suspension or Buyer Alert.** We've never heard loud stories or seen profile banners triggered on B2B review sites, but we know from the policies that the mechanisms exist. Here they are. G2 displays a warning banner: *"G2 has removed fraudulent reviews."* G2 can also suspend vendor dashboard access, prevent new reviews on the profile, and prohibit adding product listings. Capterra has a Buyer Alert that surfaces on the product profile. G2 [acquired Capterra in February 2026](/blog/g2-acquires-capterra-gartner-digital-markets), but the two platforms still operate independently, and there is no published policy on whether a vendor penalized on one will be penalized on the other. Gartner Peer Insights uses the most open-ended language: *"a comment on vendor's profile, suspension of services, or other to be determined at our discretion."* TrustRadius doesn't publish a public banner equivalent. Its enforcement is operational: aggressive moderation (rejecting roughly 47% of incoming reviews) and suspension from TrustRadius's vendor program — the managed review-campaign access, not removal of the public profile itself. **Rung 3. FTC warning letter.** The FTC is the U.S. agency that polices deceptive advertising. Reviews and testimonials fall under that umbrella because they shape buyer decisions. Until October 2024, the FTC could go after companies for fake or undisclosed reviews but couldn't actually fine them; it could only force them to stop. Then the agency's new Fake Reviews Rule took effect, and the FTC got the power to seek civil penalties for the first time. The Rule applies to all businesses, B2B included. A warning letter is the FTC's opening move under the standard sequence (letter → investigation → consent decree → civil penalty). It tells a company "we think you're violating the Rule; here's your chance to fix it before we escalate." The first batch went out December 22, 2025 — covered in Named Cases below, along with the specific conduct the FTC flagged. **Rung 4. FTC consent decree and civil penalty.** This is where the dollar number sits. The maximum civil penalty under the Rule is **$53,088 per violation**, where "violation" means per infraction, not per company-total. Every non-compliant review can count as a separate violation, and every day an ongoing violation continues counts as another. The exposure stacks quickly. Liability extends beyond the company itself: knowing-violator executives and managers can be named individually, and third-party agencies, reputation-management firms, and hired influencers are within scope. None of this is B2B-exempt. The Rule applies the same way it does to consumer brands. **Rung 5. Reputational damage.** A screenshot of your outreach on LinkedIn. A competitor's CEO comparing your tactics to theirs. A buyer reading the LinkedIn comments before they read your G2 reviews. None of this requires the FTC to do anything. None has a dollar figure. It is the most expensive consequence because no consent decree can close it. ## Named cases: who's been caught All publicly named FTC review enforcement to date has been consumer-side. No B2B SaaS vendor sits in the record yet. The headline cases: - **Cure Encapsulations (2019).** Garcinia cambogia seller bought fake Amazon reviews. $12.8M judgment, $50K paid. - **Sunday Riley (2019–2020).** Prestige skincare brand. CEO directed employees to write fake Sephora reviews. Consent order, no fine — and the toothlessness of that outcome is part of what motivated the 2024 Rule. - **Fashion Nova (2022).** Fast-fashion retailer suppressed reviews under four stars. $4.2M settlement. - **Rytr (December 2024, set aside December 22, 2025).** AI review-generation tool. The FTC originally banned Rytr from selling the service; in December 2025 the agency set the order aside, citing the AI Action Plan. The reversal is narrow: it applies to AI tool providers, not to vendors who buy, condition, or disseminate fake reviews. **Sitejabber (January 2025) — the closest case to B2B SaaS so far.** Sitejabber is an AI-enabled consumer review platform. The FTC alleged Sitejabber inflated ratings by collecting pre-fulfillment "instant feedback" pop-ups, asking customers to *"rate your overall shopping experience so far"* before they received the product, then publishing those ratings as merchant and product reviews. In some cases, *"fewer than 1% of the reviews were from verified purchasers, and without the Instant Feedback Survey reviews, the rating would be more than 2 stars lower."* Final consent order approved 5–0. Why this one is the closest analog: Sitejabber is, in practice, a review platform collecting on behalf of vendors. Structurally, that's exactly what G2, Capterra, and TrustRadius do. **December 22, 2025: ten warning letters.** The FTC sent letters to ten companies under the new Rule. Recipients weren't named (standard FTC practice at this stage). Per law-firm summaries (Greenberg Traurig, Venable, Arnold & Porter, Kelley Drye), the FTC flagged three patterns: reviews from people who hadn't used the product; compensation contingent on positive sentiment; and reviews by officers, managers, or employees without disclosure of the **material connection** (any relationship a reasonable buyer wouldn't expect, like employment or payment; defined in The FTC rules in detail below). The letters said civil penalties were the next step if the conduct continued. We are probably looking at the beginning of a long curve: at $53,088 per violation per day across an industry that has been incentivizing reviews for years, there is a lot of money the FTC stands to recover. The first publicly named B2B SaaS vendor case is almost certainly a question of when. ## The FTC rules in detail The FTC works through two related documents. Together they define what's prohibited and what counts as proper disclosure. (Quick note on citation format: "16 CFR Part X" refers to the U.S. Code of Federal Regulations, Title 16, which is the chapter that houses FTC rules.) ### The Endorsement Guides (16 CFR Part 255) These have been on the books for decades, most recently revised July 26, 2023. They are interpretive: they define what counts as an endorsement, what a "material connection" is, and what "clear and conspicuous" disclosure looks like. A *material connection* is any connection a reasonable consumer would not expect: employment, family, payment, free product, gift cards, sweepstakes entries, charity donations, or swag of meaningful value. For B2B SaaS, that covers paying employees to write [user reviews](/glossary/user-reviews), asking the family of employees to review, sending product credit in exchange for a review, sending swag in exchange for a review, or mailing a gift card directly to a customer in exchange for a review. *Clear and conspicuous* means the consumer can see the disclosure without taking any action. For B2B SaaS outreach, the two failure modes that come up most often are: a disclosure hidden behind a click or hover, and a disclosure placed where the reader will miss it (small text at the bottom of an email signature, for instance). The disclosure has to live in the same medium as the endorsement, in plain view. ### The Fake Reviews Rule (16 CFR Part 465) This is the newer document, and the one with civil-penalty teeth (covered in the consequence ladder above). The FTC adopted it 5–0 on August 14, 2024, and it took effect October 21, 2024. The Rule prohibits seven categories of conduct: | § | What it prohibits | |---|---| | 465.2 | Creating, selling, buying, or disseminating fake reviews by reviewers who don't exist, didn't use the product, or misrepresent their experience | | 465.4 | Providing compensation or any incentive *conditioned on the writing of a review expressing a particular sentiment*. Neutral incentives are permitted *if disclosed* | | 465.5 | Reviews by company officers, managers, employees, agents, or their immediate family without clear and conspicuous disclosure of the material relationship | | 465.6 | Misrepresenting a company-controlled review website as independent | | 465.7 | Suppressing negative reviews through groundless legal threats, physical threats, intimidation, or false public accusations | | 465.8 | Selling or distributing fake social media followers, likes, views, etc. | Section 465.4 permits neutral, disclosed incentives. It prohibits any incentive conditioned on a particular sentiment. Language matters here. "We'd love your honest review and will send a $25 gift card" reads differently from "tell us how much you loved your visit and get a $5 coupon." The first promises a payment for a review of any sentiment. The second implies the review must be positive. Section 465.5 covers insider reviews and insider solicitations. An executive cannot solicit a review from their own employee without disclosure, even if the employee is a real user of the product. Family members of employees fall under the same rule. The Rule's scope is "businesses" generally. The Endorsement Guides reference "products, services, or business" without distinguishing consumer and business contexts. There is no B2B carve-out. Applied to the scenario in the screenshot: an offer of $250 in exchange for a G2 review is providing compensation. Whether that compensation is conditioned on sentiment depends on the wording. The Endorsement Guides require disclosure of the material connection in the published review — and the platform-rule analysis (covered below) turns on a separate question: whether G2 was told. The published reviews themselves carry the answer. ## The five platforms, side by side Each platform has its own incentive program. Each program has different caps, different administrators, and different disclosure mechanics. | Platform | Per-review cap | Who administers the incentive | Disclosure on the published review | Penalty mechanism | |---|---|---|---|---| | **G2** | $5–$50 reported range (G2 doesn't publish a price list) | G2 (vendor pays G2 monthly invoice) | Permanent "Incentivized" tag | Buyer Alert banner on profile; account suspension; revoked dashboard access | | **Capterra** | $25 USD nominal value, hard cap | Capterra (vendor sources via Vendor Portal) | "Reviewer Source" icon | Buyer Alert on profile; suspension of services | | **Gartner Peer Insights** | $25 USD, hard cap (tied explicitly to FTC) | Gartner (Reward Link sent to reviewer) | Standard review attribution; Gartner-managed | "Comment on vendor's profile, suspension of services, or other to be determined at our discretion" | | **TrustRadius** | $25 first two emails, $50 third (per operational reports) | TrustRadius (managed program) | "Incentivized" badge that persists across API, widget, and Chrome extension syndication | Rejection at moderation; program suspension | | **PeerSpot** | Gift card per published review/interview (amount not publicly disclosed; per-program limits apply) | PeerSpot (Interviews Subscription: PeerSpot's team schedules, interviews, transcribes, edits, and issues the gift card via third-party Merchants) | Verified-interview attribution on every review; LinkedIn + direct-contact verification | Red warning badge on the vendor's profile if planted reviews are suspected; review removal | ### G2 [G2's](/directories/g2) review incentive policy is permissive inside its official program and restrictive outside it. G2 permits incentivized reviews through its [official Review Campaigns program](/guides/how-to-earn-g2-badges). G2 administers the gift cards; the vendor never mails one directly. Reviewers see the disclosure during the flow. The published review carries a permanent "Incentivized" tag. Outside that program, G2's Community Guidelines prohibit: > "Independently incentivizing reviewers without disclosing those incentives to G2" In our reading, that is the load-bearing rule. A vendor who emails a customer a $250 Amazon gift card in exchange for a G2 review is incentivizing independently — and the policy turns on whether G2 was told. G2 has publicly described a notification path: vendors who run their own incentive programs can notify G2, and G2 will tag the resulting reviews so the disclosure travels with them. Reported outside programs, in G2's stated framing, sit inside the policy and get tagged. Unreported ones do not. The screenshot of an offer email alone doesn't tell an outside observer which side of that line the vendor is on; the vendor knows. **What the public signal does tell you.** The "Incentivized" tag on a vendor's reviews is observable on G2. A profile that ticks from 300 to 800 reviews in two days, with the new reviews carrying a mix of seller-invite and Incentivized tags (some both), is a profile where the incentivized reviews were disclosed to G2 — by definition of how the Incentivized tag is applied. That moves the platform-policy question off the table and shifts the audit-worthy questions to: *what amount was offered* and *over what cadence*. G2's reported program range is $5–$50 per card; an offer 5–10× that is conspicuous even when compliant. And review velocity matters because G2's manual moderation has a typical 3-business-day window; surges that clear the queue faster than that are unusual on their own. Neither amount nor velocity is itself a rule violation. Both are signals that buyers, competitors, and platforms read closely. G2 also prohibits segmenting outreach to potentially positive reviewers, conditioning incentives on positive sentiment, discouraging negative reviews, and contacting reviewers to influence or change a published review. **Platform-supported pattern**: Configure a Review Campaign in your G2 vendor dashboard. Choose the incentive (gift card or charity donation, bring-your-own-nonprofit). G2 generates the landing page and email sequence. The reviewer sees the disclosure; G2 moderates; G2 sends the card. If you must run an outside program, notify G2 first. ### Capterra [Capterra](/directories/capterra) publishes the most prescriptive disclosure list of any platform. The nominal value of an incentive cannot exceed $25 USD. Non-monetary incentives (swag, T-shirts, branded gear) are capped at the same $25. Vendors cannot stack incentives on top of Capterra's own. Vendors cannot run a raffle for prizes worth more than $25. Capterra publishes an explicit exclusion list: vendor employees, officers, directors, agents, family members; direct competitors; government and public-sector employees; individuals on **OFAC** (the U.S. Treasury's Office of Foreign Assets Control) sanctions lists; anyone whose company prohibits accepting business gifts. The last category catches more enterprise SaaS buyers than expected. See [G2's acquisition of Capterra](/blog/g2-acquires-capterra-gartner-digital-markets) for cross-platform implications. **Platform-supported pattern**: Source reviews through the Vendor Portal's official link. $25 cap on every incentive (gift card or non-monetary). Disclose the number of recipients, currency amount, timing, expiration, and independence from the platform. The Reviewer Source icon appears on the published review. ### Gartner Peer Insights GPI ties its incentive cap explicitly to the FTC. From GPI's documentation: *"Per the FTC Guidelines on Endorsements, incentives must be of nominal value, defined as less than $25."* Every gift card is $25 USD. There is no path to a higher per-reviewer incentive on GPI. Gartner administers every card. The vendor never mails directly. The reviewer's identity stays anonymous to the vendor. GPI's penalty language is the most discretionary of the five platforms: *"penalties may include a comment on vendor's profile, suspension of services, or other to be determined at our discretion."* That open-ended *"or other"* is the difference in shape. Combined with the fact that GPI sits under Gartner, where Magic Quadrant analysts may notice, in our reading this is the highest-stakes platform for incentive violations, even though it does not publish enforcement actions. **Platform-supported pattern**: Start with the Gartner-funded starter promotion (50 cards × $25 = $1,250 USD) when it is available in your market. Extend with vendor-funded sourcing links, capped at $10,000 USD per market per year (400 reviews × $25). Time-limited promotions vary; check current windows with Gartner. ### TrustRadius [TrustRadius](/directories/trust-radius) has the most articulated position on why incentives exist: their argument is that incentives reduce participation bias and increase representativeness, so vendor campaigns are welcome as long as the disclosure is "prominent and unambiguous." The recommended disclosure language, verbatim from their vendor docs: > "In exchange for your honest review, you will receive a $25 Amazon gift card." Two design choices to notice. The incentive applies to the act of reviewing; the published review can be positive, neutral, or critical and still earn the card. The word "honest" disclaims sentiment conditioning, which is what § 465.4 of the FTC Rule prohibits. The incentivized badge persists across API, widget, and Chrome extension syndication. That permanence is the audit-relevant fact: the disclosure follows the review when the review travels, alongside the standard [review-verification](/glossary/review-verification) signals on the published listing. **Platform-supported pattern**: Hand TrustRadius a CSV of contacts plus context on how you sourced them. TrustRadius reviews the list for representativeness. Standard sequence is three emails over roughly two weeks (Tuesday, Friday, the following Friday). Gift card amounts are reported at $25 for the first two emails and $50 for the third. ### PeerSpot [PeerSpot's](/directories/peerspot) flagship offering is the [Interviews Subscription](https://marketing.peerspot.com/interviews-subscription/). The vendor pays PeerSpot a subscription. PeerSpot's team then schedules phone calls with the vendor's customers, conducts the interview directly, transcribes and edits the result, and publishes the review on PeerSpot's platform. PeerSpot describes it as "reviews on steroids" and a "white-glove service." That's the actual structural difference from G2/Capterra/GPI/TrustRadius: the reviewer never writes their own review. PeerSpot's staff produces the review text from a phone interview. On the other four platforms, the reviewer writes (or speaks into G2's AI assistant) and the platform moderates what came out. On PeerSpot, the platform produces the prose. The gift-card mechanics are similar to the other four — the vendor sets the budget, the platform administers the incentive. Per [Section 6 of PeerSpot's Terms of Service](https://www.peerspot.com/tos): *"a Reviewer who provides a verified review or interview that is published may be eligible for a gift card reward,"* with cards administered through third-party Merchants and per-program limits applied. PeerSpot doesn't publish a per-reviewer dollar amount in the ToS. Geographic restrictions apply; digital cards must be claimed within 30 days. From an FTC perspective, this puts PeerSpot in the same posture as the other four official programs — the platform owns the compensation flow, not the vendor. PeerSpot has staked out a public position on FTC compliance. In a [September 2024 piece](https://marketing.peerspot.com/ftc-cracks-down-on-fake-reviews-peerspots-approach-to-trust-and-authenticity-in-the-spotlight/), they frame phone-verified interviews as the FTC-compliant alternative to platforms gamed by AI-generated submissions and freelance-marketplace solicitation. They state they "guarantee zero fake reviews" and "ensure zero AI-generated content." In an [April 2026 follow-up](https://marketing.peerspot.com/ftc-guidance-on-reviews-b2b-marketing/), the framing sharpens: *"The key question is no longer how much review content exists. It is whether that content can be trusted."* Two things worth noting if you're auditing how PeerSpot fits next to the other four: - **The per-reviewer amount isn't public.** PeerSpot's ToS doesn't disclose the dollar value of the gift card. The FTC's nominal-value benchmark (under $25, the same number Capterra and GPI use explicitly) is the safe default to assume. - **The disclosure mechanic differs from "Incentivized" tags.** G2/Capterra/TrustRadius stamp the incentive on the review face. PeerSpot relies on the verified-interview process itself as the third-party-verification disclosure, and PeerSpot's [methodology](https://www.peerspot.com/methodology) also requires the reviewer to self-disclose any financial incentive received. **Enforcement mechanism**: red warning badge on the vendor's profile if planted reviews are suspected, per PeerSpot's published methodology: *"Vendors suspected of planting fake reviews get a red warning badge."* **Platform-supported pattern**: Subscribe to the Interviews Subscription. Hand PeerSpot your customer list. PeerSpot handles outreach, the interview, transcription, editing, publication, and the gift card. Same shape as the other four official programs — you fund it, the platform runs it. The differentiator is the interview-and-write-up format, not the compensation structure. ## The grey zones ### Sweepstakes The FTC permits sweepstakes-style incentives ("review for a chance to win") when the incentive is not conditioned on positive sentiment and the material connection is disclosed in each entry. The platform rules tighten that further. Capterra bans raffles for prizes over $25. GPI does not permit raffles in lieu of the per-reviewer cap. G2's official program does not run sweepstakes. A "review and win a MacBook" promotion may be FTC-compliant in principle, but it breaks Capterra's and GPI's explicit caps. Off-platform sweepstakes are still vendor-side endorsements that need disclosure. ### Swag and "thank you for being a customer" gifts A genuine customer-relationship gift, sent in a flow that does not ask for a review, is not a material connection. A thank-you T-shirt accompanied by *"and by the way, would you review us?"* is. The decoupling test is whether the gift and the review request are part of the same exchange (same email, same conversation, same campaign). If they are, disclose. If the gift is worth more than $25, you are past Capterra's and GPI's caps even with disclosure. ### Charity donations in the reviewer's name The FTC's position is that a charity donation is an incentive, and if the reader would evaluate the review differently knowing it was motivated by the donation, the donation should be disclosed. G2 explicitly supports charity donations as a Review Campaign option (bring-your-own-nonprofit). GPI offers 30+ U.S.-based charities at $25 per approved review. Capterra's $25 nominal-value cap applies. TrustRadius does not surface charity options as prominently, though Trusted Seller transparency requirements would extend to them. ## Your safe review-collection playbook For the founder or marketing lead designing this campaign, or auditing one already in motion: 1. **Do not buy reviews.** Direct payment to a reviewer, outside any platform's official incentive program, is the conduct the FTC and the platforms are both organized against. Everything below is the playbook for how to incentivize reviews without crossing that line. 2. **Use the platform's official program.** Don't decouple the gift card from the platform's flow. Each platform has a sanctioned program (described in the platforms section above). Use what the platform provides. 3. **If you must run something outside the program, notify the platform first.** G2 has documented this safe-harbor path explicitly. The other platforms are less explicit; reach out to your vendor-portal contact or the support address listed in their documentation before you run anything outside the sanctioned flow. 4. **Disclose every material connection in vendor-side outreach.** Even when the platform handles the disclosure on the published review, your outreach email should still disclose the incentive and the conditions. *"In exchange for your honest review, you will receive a $X gift card"* is the canonical pattern. 5. **Never condition on sentiment.** "Honest" is the safe word in outreach. "Loved," "favorite," and "best experience" all trip § 465.4 of the Fake Reviews Rule (covered in The FTC rules in detail above). 6. **Don't solicit from the excluded categories.** Vendor employees, immediate family of employees, direct competitors, government and public-sector employees, OFAC-sanctioned individuals, anyone whose employer prohibits accepting business gifts. Exclusions vary slightly by platform; the spirit is the same. 7. **Document everything.** Outreach email copy, contact list, source of each contact, disclosure language, who got which incentive and when. If a platform or auditor asks how your program ran, you should be able to reconstruct it. 8. **Recalibrate quarterly.** Platform community guidelines update. Calendar a quarterly re-read of each platform's community guidelines and the current FTC penalty number. ## What we don't know - Whether any B2B SaaS vendor sat in the December 2025 FTC warning-letter batch. Recipients are not publicly disclosed. - Whether G2 has ever applied a Buyer Alert specifically for incentive violations, as opposed to fake-review violations. G2 documents the mechanism but no public named example surfaced. - Whether TrustRadius's stated FTC compliance posture has been independently audited. - Whether the LinkedIn screenshot that prompted this guide is genuine. We assembled the rules because vendors are searching for them, without taking a position on any specific incident. ## Sources Primary FTC documents: - [16 CFR Part 465: Fake Reviews Rule (Federal Register publication, Aug 22, 2024)](https://www.federalregister.gov/documents/2024/08/22/2024-18519/trade-regulation-rule-on-the-use-of-consumer-reviews-and-testimonials) - [16 CFR Part 255: Endorsement Guides (eCFR)](https://www.ecfr.gov/current/title-16/chapter-I/subchapter-B/part-255) - [FTC Press Release: Final Rule Banning Fake Reviews (Aug 2024)](https://www.ftc.gov/news-events/news/press-releases/2024/08/federal-trade-commission-announces-final-rule-banning-fake-reviews-testimonials) - [FTC Press Release: 10 Warning Letters (Dec 22, 2025)](https://www.ftc.gov/news-events/news/press-releases/2025/12/ftc-warns-10-companies-about-possible-violations-agencys-new-consumer-review-rule) - [FTC Final Order Against Sitejabber (Jan 2025)](https://www.ftc.gov/news-events/news/press-releases/2025/01/ftc-approves-final-order-against-sitejabber-which-misrepresented-ratings-reviews-consumers-who-had) - [FTC Reopens and Sets Aside Rytr Final Order (Dec 22, 2025)](https://www.ftc.gov/news-events/news/press-releases/2025/12/ftc-reopens-sets-aside-rytr-final-order-response-trump-administrations-ai-action-plan) - [FTC Final Consent Agreement with Sunday Riley (Nov 2020)](https://www.ftc.gov/news-events/news/press-releases/2020/11/ftc-approves-final-consent-agreement-sunday-riley-modern-skincare-llc) - [FTC: Fashion Nova Settlement (Jan 2022)](https://www.ftc.gov/news-events/news/press-releases/2022/01/fashion-nova-will-pay-42-million-part-settlement-ftc-allegations-it-blocked-negative-reviews) Primary platform documents: - [G2 Community Guidelines](https://legal.g2.com/community-guidelines) - [G2 Review Campaigns: gift card options](https://sell.g2.com/resources/review-campaign-incentives) - [Capterra Community Guidelines](https://www.capterra.com/legal/community-guidelines/) - [Gartner Peer Insights: Incentives FAQ](https://gpivendorresources.gartner.com/en/articles/6812506-incentives-faqs) - [Gartner Peer Insights: Gartner-Funded Gift Card Promotion FAQ](https://gpivendorresources.gartner.com/en/articles/8233982-gartner-funded-gift-card-promotion-faqs) - [TrustRadius: FTC Incentivized Review Guidelines](https://solutions.trustradius.com/vendor/b2b-reviews/ftc-incentivized-review-guidelines-welcome-to-the-party/) - [PeerSpot Methodology](https://www.peerspot.com/methodology) - [PeerSpot Terms of Service (Section 6: Gift Cards)](https://www.peerspot.com/tos) - [PeerSpot Interviews Subscription](https://marketing.peerspot.com/interviews-subscription/) - [PeerSpot: FTC Cracks Down on Fake Reviews — PeerSpot's Approach (Sep 2024)](https://marketing.peerspot.com/ftc-cracks-down-on-fake-reviews-peerspots-approach-to-trust-and-authenticity-in-the-spotlight/) - [PeerSpot: FTC Guidance on Reviews & B2B Marketing (Apr 2026)](https://marketing.peerspot.com/ftc-guidance-on-reviews-b2b-marketing/) Related Blastra coverage: - [How to navigate G2 and Capterra after the acquisition](/guides/how-to-navigate-g2-and-capterra) - [How to earn PeerSpot badges](/guides/how-to-earn-peerspot-badges) - [Who owns your software reviews](/blog/who-owns-your-software-reviews) ## Key takeaways 1. **Plan for the public outcomes.** Buyer Alerts, FTC warning letters, civil penalties, and screenshots on LinkedIn are visible to your customers and competitors. Moderation rejection happens privately. 2. **Use the platform's official program.** Every one of the five major B2B SaaS review platforms has one. The rules outside the program are universally stricter than the rules inside. 3. **The FTC's Fake Reviews Rule applies to B2B.** There is no carve-out for business software. Up to $53,088 per violation per day. 4. **Disclosure is the load-bearing word.** Disclose the material connection in the same medium as the endorsement. The "honest" rule from § 465.4 of the Fake Reviews Rule keeps outreach copy clear of sentiment conditioning. 5. **December 2025 was the enforcement signal.** Ten companies got warning letters under the Rule. Recipients weren't disclosed, and the FTC's standard sequence is letter, investigation, consent decree, penalty. --- *Read this as reference. Your in-house counsel writes your final rules.* --- # G2 and Capterra: Vendor Guide After the Acquisition (2026) URL: https://blastra.io/guides/how-to-navigate-g2-and-capterra/ Description: G2 owns Capterra, GetApp, and Software Advice. What changed for vendors, what didn't, and how to decide where to focus your reviews in 2026. *Two cabinets, one owner, separate review pools.* ## TL;DR for vendors - G2, the largest B2B software review platform, [acquired](/blog/g2-acquires-capterra-gartner-digital-markets) Capterra, GetApp, and Software Advice from Gartner. All three now sit under "G2 Digital Markets" (GDM), the rebrand of Gartner Digital Markets. The deal [closed February 5, 2026](/blog/g2-capterra-acquisition-closed). - G2 is still operationally separate from the acquired assets. Not much has changed for vendors. - Both ecosystems are scanned by AI assistants (ChatGPT, Claude, Perplexity) answering buyer questions. The AI-visibility case applies to whichever lane you pick. - The current strategy for vendors: be present on both, concentrate review collection on one. This guide covers [directories](/glossary/software-directory) and [user reviews](/glossary/user-reviews) across the G2 / GDM ecosystem. *Cabinet* here means the vendor-side back office where you log in and manage your listing. There are two of them. --- ## What actually changed in February 2026 (and what didn't) **Changed:** - **Owner.** Capterra, GetApp, and Software Advice moved from Gartner (the IT research firm) to G2. Public reporting puts the price around $110M (per Gartner's 10-K). - **Vendor cabinet domain.** `digitalmarkets.gartner.com` now 301-redirects to `app.g2digitalmarkets.com`. Same accounts, new URL, new G2 logo. - **Brand name.** It's "G2 Digital Markets" (GDM) now. The Gartner name may still appear on email communications. Don't be confused; it's now G2 Digital Markets. **Didn't change:** - For now, reviews stay siloed. G2 reviews live on G2.com (plus G2's marketplace syndication network, covered below). GDM reviews are shared across all three GDM sites. Blastra expects reviews to start syndicating between G2 and GDM during 2026. - Two cabinets, two logins, two billing relationships. - Pricing models stay structurally different. G2 is subscription-based; GDM is performance-based. See our [pricing comparison](/blog/g2-capterra-vendor-pricing-compared) for the full breakdown. - Each GDM site keeps its own taxonomy. The unified taxonomy referenced in the acquisition announcement hasn't yet shipped. - Awards and badges are separate. For more on G2's plans behind the scenes, see our analysis of [what they're actually hiring for](/blog/g2-capterra-acquisition-what-theyre-actually-building) and our tour of [what G2 is building at G2.ai](/blog/what-is-g2-ai/). --- ## First integration milestone: unified Buyer Intent (June 2026) On June 3, 2026, [G2 expanded Buyer Intent](https://company.g2.com/news/g2-expands-buyer-intent-capabilities) to pull buyer-research signals from all four properties — G2, Capterra, Software Advice, and GetApp — into a single view inside the G2 profile. G2 reports up to 2x more signals and 36% more accounts showing as in-market, with the expanded data landing automatically for existing Buyer Intent customers and nothing to configure. For a vendor with a sales-led motion, this is a powerful upgrade: a single, fuller view of who's actively researching your category across four of the biggest software-discovery sites, surfacing in-market accounts you'd otherwise miss. If you already run Buyer Intent, it's a strong update; if you don't, it's a reason to consider giving it a try. This is also one of the moves we'd been expecting — we flagged it under "what we're watching" below and read the asymmetry as likely to widen. It's the first piece of the two backends actually merging, rather than a rebrand or a redirect. Our read: an early sign that G2's backend becomes the primary one over time, with the GDM sites increasingly feeding data into G2-side products. Taxonomy, badges, and review pools are still separate — Buyer Intent is the first to converge. **The vendor catch is pricing.** The unified signals only come free if you already pay for Buyer Intent. It isn't included in the basic Brand Professional package; it's a separate paid add-on, and G2 doesn't publish its price. To find what it costs for your account, ask your G2 account manager. --- ## G2 and G2 Digital Markets 101 for Vendors --- ## The two cabinets, explained ### G2 One vendor profile on G2.com. Free to claim, free to receive reviews. Responding to reviews, displaying badges, accessing analytics, and running customer success workflows are part of a paid plan. The [G2 directory page](/directories/g2) covers what buyers see. G2 reviews syndicate via [G2's review syndication network](https://partner.g2.com/reviews-powered-by-g2) to AWS Marketplace, Microsoft Azure (AppSource and Portal), Ramp (a corporate spend management platform), and roughly a dozen other procurement surfaces. That's the strongest argument for a G2-first strategy if your buyer evaluates software through cloud marketplaces or procurement tools. G2 reviews don't yet appear on Capterra, GetApp, or Software Advice; review syndication between G2 and the GDM sites is an expected next milestone but hasn't shipped. ### G2 Digital Markets (Capterra + GetApp + Software Advice) The [Capterra directory page](/directories/capterra) covers what buyers see on the largest of the three. The cabinet is shared, but each of the three sites is its own listing. You claim Capterra, GetApp, and Software Advice separately from within the cabinet, and you can maintain separate descriptions and screenshots per site. Pay-Per-Click (PPC) is managed from the same cabinet. One review submitted to any of the three sites [appears on all three automatically](/guides/how-to-get-g2-capterra-reviews). One PPC budget runs across all three (Engaged Buyers, GDM's PPC program); a separate program runs pay-per-lead (Qualified Leads, GDM's lead-generation product). GDM has no standalone Buyer Intent product. As of June 2026, GDM's buyer signals feed G2's Buyer Intent instead (see [the milestone note above](#first-integration-milestone-unified-buyer-intent-june-2026)) — Buyer Intent being G2's paid data feed showing which buyers are actively researching your category. Buyers can request advisor-led introductions on Software Advice (telephone-qualified). GetApp skews slightly more European and slightly more technical, in our experience. Capterra is the broad small-business and category-shopping front door. No single sign-on (SSO), no shared billing, no shared review pool with G2. --- ## What this means for your strategy **Concentrate review collection on one ecosystem (G2 *or* GDM-via-Capterra). Don't split.** Reviews are the triage filter on these platforms; a partially-built profile fails that filter, and splitting 50/50 produces two weak profiles instead of one credible one. Neither side imports external reviews. This holds as long as G2 and GDM stay separate review pools. If syndication ships between them, the calculus changes; our [vendor-strategy take](/blog/g2-capterra-acquisition-vendor-strategy) goes deeper on the timing question. **How to pick which ecosystem:** **You already have momentum somewhere → keep going.** Switching forfeits sunk effort. - Audit current review velocity. If it's stalling, ask why collection has slowed before considering a switch. - Decide on a paid plan only if you need badges, analytics, or Buyer Intent. Free profiles still collect reviews. - Don't open a parallel GDM track to "test it." **No momentum + small-business or category-shopping buyer → start with Capterra (GDM).** - Capterra Best Of, Shortlist, FrontRunners, Best Customer Support, and Most Recommended badges are free to display with attribution. See our [Capterra badges guide](/guides/how-to-earn-capterra-badges) for current criteria. G2 equivalents require a paid plan. - One review collection effort populates all three GDM sites. One PPC budget runs across all three. Effort-to-surface ratio is 1:3. - Capterra reviews are also being scanned by AI assistants answering small-business software questions. The AI-citation case for GDM stands on its own; it doesn't require G2's productized AI surface. **No momentum + technical or SaaS-fluent buyer → start with G2.** - G2 has Buyer Intent productized; GDM does not. The January 29 [acquisition announcement](https://www.prnewswire.com/news-releases/g2-to-acquire-capterra-software-advice-and-getapp-from-gartner-302673901.html) promised "up to 3x more Buyer Intent signals." As of June 2026 this shipped: G2's Buyer Intent now pulls from all four properties (G2 reports up to 2x more signals), confirming GDM data flows into G2's product rather than the reverse. The asymmetry is structural and widening. Buyer Intent is a paid add-on, not part of the basic package. - G2 reviews syndicate to AWS Marketplace, Azure, Ramp, and the rest of G2's procurement network (covered above). That matters if your ICP evaluates via cloud marketplaces. - G2 has the larger AI-answer-economy surface today. LLM citations, MCP (Model Context Protocol) integration with Claude, and AEO (Answer Engine Optimization) traffic data are all G2-side. See our [G2 badges guide](/guides/how-to-earn-g2-badges) for the paid-plan tiers. **Budget framing.** Minimum cost path: free profile plus organic review collection on the chosen ecosystem. Maximum cost path: G2 Enterprise plus GDM PPC. **Awards / badges note.** GetApp Category Leaders [rankings still update through 2026](https://www.getapp.com/category-leaders-methodology/); whether downloadable badges return for the 2026 cycle is unclear. --- ## What this guide doesn't cover: TrustRadius, SourceForge, PeerSpot Whether to also list on [TrustRadius](/directories/trust-radius), [SourceForge](/directories/sourceforge), [PeerSpot](/directories/peerspot), or vertical directories is a separate question, driven by gatekeeper risk and ICP fit. The acquisition itself doesn't change the answer. For depth, see [alternatives outside the G2 ecosystem](/directories/alternatives-to-g2). --- ## FAQ ### Is Capterra owned by G2? Yes. G2 acquired Capterra, GetApp, and Software Advice from Gartner in early 2026; the deal [closed February 5, 2026](/blog/g2-capterra-acquisition-closed). Before the acquisition, all three were owned by Gartner under the "Gartner Digital Markets" umbrella. They're now grouped under the rebranded "G2 Digital Markets," still operated as a separate cabinet from G2.com. ### What is G2 Digital Markets? G2 Digital Markets is the rebranded name for what used to be Gartner Digital Markets. It's the wrapper that runs Capterra, GetApp, and Software Advice from a single vendor cabinet. The GDM cabinet is operationally separate from G2's vendor cabinet. Same parent company, two logins. ### Why isn't my G2 listing showing on Capterra? Because G2 and the GDM trio (Capterra, GetApp, Software Advice) maintain separate cabinets and separate review pools. A G2 listing does not auto-create a Capterra listing, and a G2 review does not appear on Capterra. To appear on Capterra, GetApp, and Software Advice, register with G2 Digital Markets and claim each site separately from inside the cabinet. Each site can have its own descriptions and screenshots. ### Will my G2 reviews show up on Capterra now that they're the same company? Not yet. G2 hasn't announced a date for review syndication between G2.com and the GDM properties. We expect this to be the next major integration milestone, but it hasn't shipped. Reviews collected on G2 stay on G2; reviews collected on any GDM site appear automatically on all three GDM sites. ### Why am I getting emails from Gartner if I'm a G2 customer? The branding is in transition. Capterra, GetApp, and Software Advice were sold to G2 in February 2026 and are now part of G2 Digital Markets. Some support emails and password-reset flows still reference "Gartner Digital Markets" because the rebrand appears to be rolling out in stages. ### Can I run one PPC budget across G2 and Capterra? No. The two cabinets bill separately. One PPC budget on G2 (G2 Clicks) covers G2.com only. One PPC budget in the GDM cabinet (Engaged Buyers) covers Capterra, GetApp, and Software Advice together. There's no unified PPC product across both ecosystems. ### Is the taxonomy shared between G2 and Capterra yet? No. Each site retains its own categorization. The acquisition press release referenced "aligned taxonomy" as a future state, but it hasn't shipped. ### Should I focus on G2 or Capterra? See "What this means for your strategy" above. Short version: continue where you have momentum; if starting from zero, default to Capterra (GDM) for small-business or category-shopping buyers and G2 for technical or SaaS-fluent buyers. Concentrate on one; don't split. ### Can I submit and manage my product across all G2 sites from one place? Not from G2 directly. The G2 cabinet and the GDM cabinet are separate, and within GDM each site (Capterra, GetApp, Software Advice) has to be claimed separately. Blastra gives you a single dashboard to manage your presence across G2, Capterra, GetApp, Software Advice, and 20+ other directories. One workflow, both ecosystems. --- ## What we're watching next Here's what would change our recommendation: - G2 ↔ GDM review syndication shipping (in either direction). - Cabinet unification (a single login bridging both surfaces). - Shared taxonomy across G2 and the GDM sites. - Capterra free badge display moving to paid. - G2 launching a Pay-per-Lead product. (The GDM Buyer Intent question resolved in June 2026 — its signals now feed G2's Buyer Intent rather than a standalone GDM product.) - Any 2027 awards or badge policy change on either side. --- ## Where Blastra fits In-house teams typically handle directory presence as a side task. With two cabinets to maintain, the side-task model breaks faster: two logins, two billing cycles, two awards calendars, two sets of reviewer outreach to run. We [run directory submissions and ongoing listing management](/directories/submissions-and-management) across both ecosystems for SaaS companies. We claim listings, keep descriptions accurate and current across both cabinets, request reviews from real customers, monitor and respond, track which awards you're eligible for, and reconcile changes as G2 ships them. Think of it as adding a person to your team. We hold the intelligence half (what to claim, where to be, how to respond, what each cabinet needs); the strategic calls stay with you. --- *Last verified: June 3, 2026. We refresh this guide monthly.* --- # How to Get Into the Gartner Magic Quadrant URL: https://blastra.io/guides/how-to-get-into-gartner-magic-quadrant/ Description: How vendors get into a Gartner Magic Quadrant in 2026: Inclusion Criteria, the briefing process, the Customer Interest Indicator, GPI connection, and what isn't in your control. ## First, what Gartner is and what a Magic Quadrant does for vendors Gartner is an independent IT research and advisory firm. Founded 1979, headquartered in Stamford, Connecticut. Tens of thousands of staff globally, multi-billion-dollar annual revenue. Their core customer is the enterprise IT buyer - CIOs, CTOs, heads of security, procurement teams, IT decision-makers at Fortune 500 and public-sector organizations who pay for research subscriptions to make better technology choices. **How Gartner makes money.** Three primary streams: - **Research subscriptions for IT leaders.** A CIO buys access to Gartner for IT Leaders or Gartner for Technical Professionals. Includes the research library, analyst inquiries, peer benchmarks, and conference seats. - **Conferences.** Gartner Symposium, Security & Risk Management Summit, Marketing Symposium, CIO Leadership Forum, and many others. Sponsorships, ticket sales, vendor presence. - **Vendor-side subscriptions and services.** Gartner for Technology Providers gives software vendors access to analyst briefings, market research, and advisory days. Reprint licenses for vendors that appear in research are sold separately. The structure matters because it shapes what Gartner is optimizing for. Buyers pay to make better choices; vendors pay to understand the buyers; nobody pays Gartner to be in any specific report. Gartner's incentive is buyer trust in the research, because that's what enterprises renew their subscriptions on. **What Gartner publishes.** A vendor encounters several Gartner research formats - the Magic Quadrant is the flagship, with companions including Critical Capabilities, Market Guide, Hype Cycle, Cool Vendors, and Voice of the Customer. The full disambiguation - what each publication does, how it differs, and which one applies to your market - lives in its own section below. For now: the MQ is what procurement teams actually pull when they're shortlisting tools at a Fortune 500 company. That's why vendors care about it. **What being included materially does for a vendor.** The reasons vendors invest 12-24 months chasing an MQ: - **Shortlist inclusion.** "We pulled the Gartner MQ" is the most-cited filter step in B2B enterprise procurement. Being on the quadrant gets you on the list. Leader status moves you up it. A vendor whose competitors are in the MQ and they aren't carries a real structural disadvantage in the same buying conversations. - **Sales-cycle credibility.** Risk-averse enterprise buyers use MQ inclusion as a "this vendor is real" signal. The "do we trust this company" friction shrinks. Sales teams report shorter cycles, fewer reference calls demanded, fewer security-review escalations. - **Marketing-ready proof.** A reprint license lets the vendor put the MQ graphic and an approved quote on landing pages, sales decks, pricing pages, board reports. The Gartner imprimatur translates directly into trust signals - the sort of third-party validation a vendor's own marketing can't manufacture. - **Analyst inquiry mindshare.** Gartner's paying clients can call analysts and ask "who should I look at for X?" Included vendors come up in those calls. Leaders come up first. - **Funding and IPO legitimacy.** Investors and acquirers read MQs. MQ Leader status often appears in S-1 filings, due diligence packages, and post-funding announcements as a market-validation signal. - **Board-level credibility.** A CMO who can say "we're a Leader in the Gartner MQ" gets an easier audit-committee conversation than one who can't. The flip side is what makes the work worth it. If three of your direct competitors are in the MQ and you aren't, your buyers see three options without you. That's the structural reality the rest of this guide is about. --- ## TL;DR The 2024 [Magic Quadrant](/glossary/magic-quadrant/) for SIEM (Security Information and Event Management - the security log aggregation and analysis category) required $75M in cloud-native SIEM revenue OR 200 production customers. The 2025 SIEM Magic Quadrant - published October 8, 2025 - requires **$85M OR 500 customers**, plus a new ">5% new customer acquisition or competitive replacement" gate. Same market, one cycle later, materially harder to enter. That's just one of an estimated 100+ Magic Quadrants Gartner publishes annually. Each has its own Inclusion Criteria, set by the analyst team, approved by the Content Leadership Board, and rebuilt every cycle. If you're a vendor wondering how to get into one, here's the breakdown of what you can control and where structural limits apply. Realistic timeline: 12 - 18 months from "we're going to try" to first publication if you qualify the first time. Three cycles before targeting Leader status, per practitioners. Niche Player or Honorable Mention is the median first-cycle outcome, and being named at all is the real prize. The MQ also reaches one specific audience: procurement teams who read MQs. It is a much weaker signal in AI-driven discovery, where buyers ask ChatGPT or Perplexity for category recommendations. Plan for both audiences. For the [Gartner Peer Insights](/guides/how-gartner-peer-insights-actually-works/) (GPI - Gartner's enterprise software review platform) side of the same vendor strategy, see our companion guide. --- ## Should You Prioritize the Magic Quadrant? Before the methodology, here's the assessment. **MQ is probably worth it if:** - You sell to enterprise [buyers](/glossary/buyer/) in a market that has a current Magic Quadrant - You can clear the published Inclusion Criteria for revenue, customer count, and geographic spread - You can commit to 12 - 24 months of analyst engagement (RFI - Request for Information, the formal questionnaire Gartner sends each candidate vendor - briefings, factual review) - Your buyers read MQs - procurement teams in regulated industries, public sector, Fortune 500 enterprises typically do; mid-market and SMB-focused buyers usually don't **MQ is probably not worth it (yet) if:** - Your customers are primarily SMB, or you don't yet have ~$50M+ ARR or ~200 enterprise customers - Your market has no MQ - only a Market Guide, Hype Cycle, or Peer Insights coverage - You can't sustain the time commitment - practitioner estimates put it at 150+ hours per cycle for RFI, briefings, demos, and factual review - Your product hasn't been generally available long enough - most MQs require GA-as-of (Generally Available - shipped to paying customers and out of beta) cutoff dates (e.g., 1 January 2025 for the 2025 AI-ITSM - AI Applications in IT Service Management - MQ) Many vendors who eventually enter the MQ start with [Gartner Peer Insights](/directories/gartner-peer-insights/) (GPI) first. GPI reviews are an input to MQ analysis, and a complete, well-maintained GPI profile is the entry surface for analyst awareness. If you don't yet have an active GPI listing with current data, that's the first move. The full GPI playbook is its own guide - see the cross-link below for the depth on VOC methodology, the Customers' Choice schedule, and review collection strategy. **Start here:** Visit [gartner.com/en/research/magic-quadrant](https://www.gartner.com/en/research/magic-quadrant), search for your market, and check whether an MQ exists. If yes, look at the current Leaders - that's your competitive set. If no, look for a Market Guide instead, or for an Emerging Magic Quadrant if your market is GenAI-adjacent (more on eMQ below). --- ## Magic Quadrant vs. Every Other Gartner Publication You've Heard Of Vendors confuse these constantly. Sales hears "Gartner Cool Vendor" and thinks it's the same as MQ Leader. Marketing sees Customers' Choice and thinks it's a Magic Quadrant award. Different methodologies, different outputs, different levels of vendor effort. | Publication | What it is | Vendor treatment | Refresh | Vendor effort | |---|---|---|---|---| | **Magic Quadrant** | Vendor positioning in a mature market, 4 quadrants, 2 axes | Dot per included vendor | 12 - 24 months per market | High - RFI, briefing, demo, factual review | | **Critical Capabilities** | Product scoring against weighted use cases (1 - 5 scale) | Numeric scores per use case; clients can adjust weights interactively | Paired with MQ | Same data submission as paired MQ | | **Market Guide** | Market analysis for emerging, fragmented, or commoditizing markets | "Representative vendors" listed; no rating, no position | As needed | Lower - briefing only | | **Hype Cycle** | Technology maturity curve, five stages | Technologies are listed by maturity stage; the chart names categories rather than vendors | Annual | None - this is about technologies | | **Cool Vendors** | Editorial spotlight on ≤5 innovative or emerging vendors per topic | Named with brief writeups | Annual per topic | Briefing-driven; analyst selects | | **Emerging Magic Quadrant (eMQ)** | Lighter, faster MQ for fast-moving markets (GenAI sub-markets currently) | Same 2-axis quadrant, lighter RFI | **Every 2 - 4 weeks** | Lighter - 25-question RFI | | **Voice of the Customer (VOC)** | Quadrant report based 100% on Peer Insights reviews | "Customers' Choice" upper-right designation | Per-market schedule | Review collection only | | **Peer Insights** | The Gartner-run review platform itself | Profile-level, indefinite | Continuous | Review sourcing | The Magic Quadrant is the flagship, but it's one of more than ten Gartner research formats. **Critical Capabilities** is paired with most MQs - same vendor cohort, same RFI submission, but the output is numeric scores against use cases instead of a quadrant. **VOC** uses Peer Insights review data with no analyst interpretation; the [Customers' Choice](/all-software-awards-and-badges/gartner-customers-choice/) badge comes from VOC. For VOC depth - the methodology, the 58-market schedule, freeze periods, and Customers' Choice mechanics - see our [Gartner Peer Insights guide](/guides/how-gartner-peer-insights-actually-works/). --- ## How the Magic Quadrant Compares to Other Analyst Frameworks The MQ is one of four major analyst-evaluation frameworks enterprise vendors face. Each has its own RFI and timeline; most enterprise vendors run all four in parallel. | Framework | Vendor inclusion process | Output | Refresh | |---|---|---|---| | **Gartner Magic Quadrant** | Inclusion Criteria + RFI + briefings + Peer Insights inputs | 2-axis quadrant, 4 zones | 12 - 24 months | | **Forrester Wave** | Inclusion criteria + briefings + customer surveys + scoring | Wave plot - Leaders / Strong Performers / Contenders / Challengers | ~24 months | | **IDC MarketScape** | Vendor selection + briefings + customer interviews | Concentric ring chart - Leaders / Major Players / Contenders / Participants | ~12 - 24 months | | **GigaOm Radar** | Inclusion criteria + analyst evaluation | Radar chart - Leader / Outperformer / Challenger / etc. | Annual | The frameworks compete on credibility with different buyer audiences. Procurement teams in F500 and public sector lean Gartner-first. Architects and technical evaluators read Forrester. Mid-market and developer-led buyers increasingly cite GigaOm. This guide covers Gartner; the others are companion reading. There's also Info-Tech Research Group's SoftwareReviews, an analyst-evaluation framework built on verified user reviews. Different methodology, different output, but it shows up in the same enterprise-evaluation conversations. We cover it separately in [How SoftwareReviews Awards Work](/guides/how-softwarereviews-awards-work/). --- ## The Four Quadrants and Two Axes - What They Mean for Vendors A Magic Quadrant plots vendors on two axes: - **Y-axis: Ability to Execute** - current product, sales execution, market responsiveness, customer experience, operations, overall viability - **X-axis: Completeness of Vision** - market understanding, product strategy, innovation, geographic strategy, vertical strategy Four quadrants form from the median of each axis. From the 2025 SIEM MQ, verbatim: - **Leaders** - strong functional match for general market requirements; high market share or strong revenue growth; positive customer feedback; superior vision and execution for emerging requirements. - **Challengers** - multiple product or service lines, modestly sized customer base; meet a subset of requirements; strong execution but lack a complete capability set or competitive track record. - **Visionaries** - strong functional match for general market requirements but less Ability to Execute than Leaders (fewer features, smaller revenue base, smaller installed base, or general viability concerns). - **Niche Players** - narrow focus on a specific segment (midsize, region, industry, or limited functional set); small installed base or limited capabilities. **The math.** A typical MQ includes 15 - 25 vendors. Across the markets we've reviewed, Niche Players is usually the most populated quadrant; Leaders typically holds 3 - 6 vendors in mature markets. Across both axes there are 15 sub-criteria total (Gartner's own count). **Weights vary per MQ.** Gartner does not publish raw scores. Scoring combines quantitative and qualitative inputs and is comparative across the included cohort. The 2025 SIEM and 2025 AI-ITSM MQs were published a month apart and use different weights: | Sub-criterion | 2025 SIEM | 2025 AI-ITSM | |---|---|---| | **Ability to Execute** | | | | Product or Service | High | High | | Overall Viability | Medium | Low | | Sales Execution / Pricing | High | High | | Market Responsiveness | High | High | | Marketing Execution | Medium | Medium | | Customer Experience | Medium | Medium | | Operations | Medium | Low | | **Completeness of Vision** | | | | Market Understanding | High | High | | Marketing Strategy | Medium | Medium | | Sales Strategy | Low | Medium | | Offering (Product) Strategy | High | High | | Business Model | Not Rated | Medium | | Vertical / Industry Strategy | Medium | Low | | Innovation | High | High | | Geographic Strategy | Medium | Low | Weights in the same year, in adjacent markets, look different. Geographic Strategy is Medium for SIEM (a global enterprise market) and Low for AI-ITSM (where North America still drives most of the buying). Don't assume one MQ's weights apply to another's. --- ## Inclusion Criteria - What It Takes Inclusion Criteria are the structural gates Gartner uses to decide which vendors can even be considered for a given MQ. They're public - they appear in the back of every reprint PDF - but they're market-specific and they tighten cycle to cycle. We pulled verbatim criteria from two recent reprints so you can compare. The pattern across MQs: thresholds combine product capability, scale (revenue OR customer count), geographic spread, and active marketing presence. The specific magnitudes are rebuilt every cycle by the analyst team. ### 2025 Magic Quadrant for SIEM - verbatim Inclusion Criteria Published 8 October 2025. To qualify, a vendor needed: - A cloud-native software or SaaS SIM+SEM product (Security Information Management plus Security Event Management - the two halves of a SIEM platform; managed-services-only is excluded), with all six must-have capabilities: data collection from on-prem and cloud, end-user threat-detection self-development, multi-source correlation, case management, reporting, long-term storage. - At least 50 vendor-provided collectors plus formal partnerships with at least 10 major technology vendors. - Behavioral analysis or correlation across non-vendor-ecosystem sources. - At least 2 of 4 specified additional capabilities (federated search, search beyond SIEM repo, third-party data lake integration, 365-day hot recall) in the SIEM as of 31 December 2024. - At least 2 of 3 add-on capabilities (workflow augmentation, threat intelligence platform, advanced analytics or UEBA - User and Entity Behavior Analytics). - **Either** $85M+ cloud-native/SaaS license-and-maintenance revenue in the 12 months prior to 31 December 2024 **or** ≥500 distinct production customers on cloud-native or SaaS contracts. - ≥25% of cloud-native/SaaS SIEM revenue from buyers headquartered outside the vendor's region, **or** ≥25% of production customers headquartered outside the vendor's region. - Online marketing campaigns, events, or third-party promotions across at least 2 geographic regions, distributed prior to 31 December 2024. - Cloud-native/SaaS SIEM platform hosted in more than 3 major geographic regions. - New customer acquisition or competitive replacement above 5%. Source: *Magic Quadrant for Security Information and Event Management*, Gartner, 8 October 2025 (Doc ID G00822919). 2025 SIEM Leaders: Microsoft, Splunk, Google, Securonix, Gurucul, Exabeam. Challengers: Fortinet, Rapid7. ### 2025 Magic Quadrant for AI Applications in ITSM - verbatim Inclusion Criteria Published September 2025. To qualify, a provider needed: - General Availability since 1 January 2025. - Product covers Gartner's AI-in-ITSM market definition with at least 5 of 6 common features (Virtual support agents, Operations assistants, AI search, Agent advice, Pattern recognition, Content generation), each with sub-feature checklists. - Each common feature: GA to customers as of 1 January 2025, not labeled beta, fully vendor-supported, in active production use by at least 5 customers, comprehensively documented. - Proprietary AI: vendor must offer AI models directly. White-label arrangements or third-party model integration alone don't qualify. Proprietary knowledge discovery (fine-tuning, RAG - Retrieval-Augmented Generation, deep research). - **Proven Enterprise Viability:** between 1 April 2024 and 1 April 2025, at least 10 new active paying enterprise customers in production, each spending $100K+ annually on AI-for-ITSM features OR with 100+ IT workers actively using practitioner features. - Actively Marketed since 1 January 2025 (homepage or homepage-linked product page focused on AI features). - **Customer Interest:** ranks in top 20 by Gartner's Customer Interest Indicator (CII) - more on this below. ### Criteria tighten cycle to cycle The 2024 SIEM MQ Inclusion Criteria are publicly visible too. Compare to 2025: | Criterion | 2024 SIEM | 2025 SIEM | |---|---|---| | Cloud-native SIEM revenue threshold | $75M | **$85M** | | Customer-count alternative | 200 | **500** | | Out-of-region revenue requirement | 15% | **25%** | | Out-of-region customer alternative | 30 customers | **25% of customers** | | Capabilities cutoff date | 31 March 2023 | 31 December 2024 | | New customer acquisition / competitive replacement | not specified | **>5%** (new gate) | Same market, one cycle later, materially harder. ### How the Customer Interest Indicator (CII) gates inclusion The 2025 AI-ITSM MQ requires a top-20 ranking by **Customer Interest Indicator (CII)**. CII appears as an explicit top-N inclusion gate in at least five named MQs and Critical Capabilities documents: - AI-ITSM (top-20) - APM (Application Performance Monitoring) and Observability Platforms (top-20) - 2025 FP&A - Financial Planning and Analysis (top-16) - Data and Analytics Governance Platforms (top-20) - Supplier Risk Management Critical Capabilities (top-25) CII is Gartner's internal measure of how much paying clients are asking about a vendor. Documented inputs include: - Gartner client inquiry volume - Gartner Peer Insights review activity - Gartner.com search trends - Open-web search trends - Social media followers - Web traffic - Vendor-customer engagement reported in the RFI - Vendor-customer sentiment from Peer Insights Inputs are documented; weights are not published. A vendor with sustained Gartner client engagement - paid subscriptions, frequent inquiries, briefing cadence - generates more CII signal than one without. This is the most concrete structural mechanism behind the framing we're about to walk through. --- ## The Process and Timeline From Gartner's official [Magic Quadrant methodology page](https://www.gartner.com/en/research/methodologies/magic-quadrants-research) and the Magic Quadrant FAQ (most recent published version, document RO_1238439), plus practitioner accounts. The flow: 1. **Analyst proposes a new MQ** as part of an annual research agenda. The proposal includes market definition, draft Inclusion Criteria, draft Evaluation Criteria, and project team. It goes through several internal levels of review, ending with the Content Leadership Board. 2. **Vendor notification.** For new MQs, initial notification usually occurs 25 - 30 weeks before the planned publication date - about six to seven months out. For repeat MQs, the timeline is shorter. 3. **Project manager emails the vendor** to confirm contact. 4. **PM sends market definition and Inclusion Criteria,** asks the vendor to verify they qualify. 5. **Analyst sends Evaluation Criteria, weights, research process, and timeline.** 6. **Vendor briefings.** A briefing is recommended as a starting point, but per Gartner's FAQ: "providing a Vendor Briefing does not guarantee or increase the likelihood of inclusion." 7. **Customer references.** Per the FAQ: "Authors of a Magic Quadrant and/or Critical Capabilities will not ask vendors to provide customer reference names" in the standard process. Direct customers to Gartner Peer Insights instead. (Older AR practitioner guides still mention "submit three customer references" - the FAQ language supersedes.) 8. **Vendor preview.** Vendors get **5 business days** to factually review draft content (the graphic with all dots plus their own write-up). This is for accuracy. Placement isn't open to negotiation. Responses must be in writing. 9. **Publication.** A few load-bearing details the FAQ states explicitly: - **No opt-in, no opt-out.** If a vendor meets the criteria, they must be represented. A vendor can decline to participate in the RFI; a disclaimer is added; they're still evaluated. - **Disagreement escalation:** the analyst, then the analyst's manager, then the Office of the Ombuds (Gartner's internal escalation body for vendor disputes about research process or coverage). - **Time commitment per cycle:** practitioner estimates put it at 150+ hours of vendor effort. The RFI alone is typically 200+ questions in standard MQs, plus briefings, demos, and factual review. **Realistic vendor journey.** Carilu Dietrich, the former Atlassian CMO who has written extensively about analyst relations, describes a 3-year journey from her startup's first analyst engagement to its first MQ inclusion as a Leader, and notes the market definition shifted mid-journey. For most vendors, the path is slower than the marketing literature suggests. For more methodology context, the companion Gartner research document is *How Markets and Vendors Are Evaluated in Gartner Magic Quadrants* (doc 5292963), which sits behind the gartner.com paywall but is referenced in many third-party explainers. --- ## What's Free, What's Paid, and the Honest Pay-to-Play Question Gartner's official position is that inclusion in research costs nothing. The Office of the Ombuds answers it plainly: "What does it cost to be included in Gartner research? The answer is simple: nothing." That's true. It's also incomplete. ### What's free - **Inclusion in the MQ.** No fee, no subscription required. - **Vendor briefings.** Capacity-limited - the analyst has to accept - but free. A 45-minute slot, one or two analysts, scheduled two to four weeks out. - **Customer reference handling via Peer Insights.** Reviews are free for both reviewer and vendor. - **Listing on Gartner Peer Insights.** Free profile, free badge usage with strict compliance rules. ### What's paid - **Gartner client subscriptions** (Gartner for Technology Providers, Gartner for Technical Professionals). Practitioner pricing per Quora threads and AR community discussion: reader-only seats around $7K depending on volume; a single seat with one full track around $30K; custom packages bundling events, inquiries, and marketing services into six figures. - **MQ reprint license.** What lets a vendor put the MQ graphic and an approved quote in marketing creative. Gartner does not publish a rate card; practitioner sources put licenses in the low five to mid six figures depending on usage rights and term. - **Strategy days, advisory days, custom briefings, marketing-services packages.** Generally bundled with subscriptions. A reasonable rule of thumb from Gartner's own *Sway for Startups* track - guidance written for early-stage vendors weighing analyst engagement: subscription investment scales with go-to-market stage. See Step 5 below for the seed-vs-Series-B+ breakdown. ### The honest pay-to-play framing The pay-to-play question has been litigated - twice. ZL Technologies, an enterprise archiving vendor, sued Gartner in 2009; the suit was dismissed. NetScout, a network performance monitoring vendor, sued Gartner in 2014. The complaint, as covered by Diginomica (an independent enterprise-tech publication), alleged that Gartner staff suggested NetScout's research positioning would benefit from broader paid engagement. Gartner contested the allegations throughout. The case concluded in Gartner's favor — summary judgment was granted in 2018 and affirmed by the Connecticut Supreme Court in January 2020 (SC20079), holding that MQ placement is protected as analyst opinion. The legal record is closed; Gartner's position was upheld. The defensible synthesis: **inclusion is free; sustained client engagement - paid subscriptions, briefings, frequent inquiries - generates the engagement signal that increasingly gates inclusion through CII.** Vendors who treat the MQ as purely meritocratic miss the engagement-signal layer. Vendors who treat it as openly for sale also miss the mark. --- ## The Peer Insights Connection [Gartner Peer Insights](/directories/gartner-peer-insights/) (GPI) is the only review platform whose data feeds into Gartner analyst research. Per the 2021 MQ FAQ: > "Gartner Peer Insights represents one source of customer input among others that the authors may use to support Magic Quadrant and Critical Capabilities creation. While end-user feedback is important, it is only one aspect in an area of criteria that are considered." > "Providers are not negatively impacted for a lack of reviews provided as part of the Magic Quadrant and Critical Capabilities evaluation, nor are they scored higher for providing more reviews." The mechanics: - **Cutoff.** Analysts use GPI reviews submitted before the MQ data submission deadline - the RFI input deadline stated in the Welcome Packet (the onboarding document Gartner sends each vendor when an MQ cycle opens). - **Time decay** on the GPI Overall Peer Rating: 0 - 12 months at 100%, 12 - 24 months at 50%, 24 - 36 months at 25%. - **Time window** is set per cycle - analysts use "sufficiently current and relevant" reviews. Roughly six months for high-growth markets, twelve months for maturing ones. After Gartner's 2026 sale of Capterra, GetApp, and Software Advice to G2 ([announced 29 January 2026, closed 5 February 2026](/blog/g2-acquires-capterra-gartner-digital-markets/)), GPI is Gartner's only software directory. The GPI ↔ MQ link is now structurally more important than it was in the multi-property era. For the full GPI playbook - VOC methodology, the 58-market Customers' Choice schedule, freeze periods, review collection strategy, and badge compliance - see [How Gartner Peer Insights Actually Works](/guides/how-gartner-peer-insights-actually-works/). That guide owns the depth. --- ## Marketing Compliance and Reprint Rules If you earn MQ recognition, what you can do with it is governed by Gartner's Content Compliance Policy. The summary below is based on Gartner's public-facing policy and practitioner summaries — the authoritative version is whatever Gartner sends you with your reprint license. The rules are stricter than any other software directory's. - **Logo and badge sizing.** Gartner logos and badges must be secondary to the vendor's logo and at least 10% smaller in size. Clear space required around them. Cannot be bundled next to other logos. - **Trademark legal lines.** Required, with the full version typically standard ("GARTNER is a trademark of Gartner, Inc. and/or its affiliates"). As of July 2025, an abbreviated trademark legal line is permitted on quotes - a small but datable update. - **Approved language:** "named," "placed," "positioned," "acknowledged," "recognized," "identified." - **Prohibited language:** "#1," "ranked," "scored," "top-ranked." The MQ is not a [ranked list](/glossary/rating-and-ranking/). Vendors who write "ranked #1 in Gartner MQ" are violating Gartner's compliance policy. - **Indemnification Agreement (IA).** Vendor must sign an IA before reprint use is granted. - **Pre-approval required.** All marketing creative referencing the MQ must be cleared by Gartner. - **Penalty for non-compliance.** Immediate quote ban and reprint blackout of up to three months. What this means for marketing teams: if your team is used to badge-and-go workflow ([G2 badges](/guides/how-to-earn-g2-badges/), [Capterra badges](/guides/how-to-earn-capterra-badges/), TrustRadius badges all have lighter compliance), the MQ workflow will feel slow. Pre-approval cycles add days. The blackout penalty is real. MQ Leaders typically run a dedicated AR function for this reason. --- ## Realistic Outcomes - Including AI Visibility The opening section covered what inclusion does at the strategic level (procurement shortlists, sales-cycle credibility, marketing-ready proof, analyst inquiries, funding legitimacy, board credibility). Two operational caveats sit downstream of that: time-bounded validity, and the AI-search gap. Plus the consolation pathway for vendors who don't quite clear the criteria this cycle. **Validity is time-bounded.** Most MQ recognition is valid until the next cycle of that MQ publishes - usually 12-24 months later. After that, the marketing rights expire and the reader-facing positioning resets. ### Honorable Mentions If you don't meet Inclusion Criteria but the analyst thinks buyers should know you exist, you can be named in the Honorable Mentions section of the MQ. Honorable Mention is useful but ranks below inclusion. The path forward is meeting criteria next cycle. ### What inclusion does NOT buy you (the AI-visibility realism) Gartner's canonical MQ PDFs sit behind bot protection and the Gartner subscription paywall, which keeps them out of LLM training and citation streams at meaningful rates. Vendor-hosted reprint PDFs (Splunk, Microsoft, Securonix, etc.) are publicly indexable, and AI engines - Perplexity, ChatGPT browsing, Bing Copilot - surface them when prompted with vendor-name queries. For category-discovery prompts ("best SIEM tools," "top observability platforms"), AI engines cite the public web - G2, vendor blogs, news, Reddit, [LLM-curated listicles](/blog/llmy-awards-top-10-ai-writing-assistants-2025/). Paywalled MQ documents stay outside that citation pool. So **MQ Leader status and AI search visibility are separate channels.** Procurement teams who read MQs see your dot. Buyers who ask ChatGPT for recommendations see whatever the public web surfaces. Plan for both audiences. A similar dynamic likely applies to the other analyst frameworks, though with variation in degree. Forrester Wave reprints sit behind similar paywalls. IDC MarketScape excerpts sometimes surface when vendors host them publicly. GigaOm Radar reports are more often open-web. The pattern as we observe it: the more accessible the report is on the public web, the more likely AI engines cite it for category prompts. Procurement-trusted frameworks and AI-engine-cited frameworks often diverge. For more on how AI-driven discovery works in SaaS, see [The AI Search Consensus Pattern](/blog/ai-search-consensus-pattern-saas-recommendations/) and [Why Trustpilot Reviews Show Up in AI Answers](/blog/trustpilot-ai-search-visibility/). --- ## The Emerging Magic Quadrant (eMQ) - A Faster Path for Fast-Moving Markets Most vendor-side MQ content doesn't mention this one, and it changes the playbook for GenAI-adjacent vendors meaningfully. Gartner launched the Emerging Magic Quadrant in mid-2024 for markets that move too fast for the standard MQ cycle. Same 2-axis quadrant format, with a lighter process: - **25-question RFI** instead of the standard 200+ question RFI - **Refresh every 2 - 4 weeks** instead of 12 - 24 months per market - Self-assessment via Gartner's Provider Information Portal (the vendor self-service tool where you keep your own data current between cycles) eMQ launched as a pilot in GenAI sub-markets. As of late 2025, it has expanded across at least six named GenAI areas, each with its own Innovation Guide: - Generative AI Knowledge Management Apps / General Productivity - Generative AI Engineering - Generative AI Specialized Cloud Infrastructure - Generative AI Consulting and Implementation Services - GenAI Model Providers - GenAI Applications **The graduation pattern.** The inaugural Magic Quadrant for AI Application Development Platforms (doc 7188230) appeared in 2025 — a market Gartner had been tracking through eMQ Innovation Guide formats before promoting it to a standard MQ. That's the vendor-side path: get into the eMQ early, ride the methodology to a standard MQ when the market matures. **Reprint rule.** eMQ reprints follow a different commercial model than standard MQ reprints. Per Spotlight AR's interpretation of the Content Compliance Policy, vendors may "promote the eMQ graphic and leverage a quote from the report" - limited graphic-plus-quote promotion is permitted; full reprint sale stays off the table. If your market is GenAI-adjacent, eMQ is a meaningfully lower-effort path than waiting years for a standard MQ cycle. If your market isn't GenAI-adjacent, eMQ is irrelevant for now. Gartner has not publicly announced a non-GenAI eMQ pilot, though the model could expand. --- ## Markets Are Dynamic - What Changed in 2024 - 2026 The MQ landscape changes every year. Gartner adds new MQs, retires old ones, renames active ones, and occasionally restores retired ones. A few from the recent record: **New inaugural MQs (2024 - 2026):** - **Magic Quadrant for Cyberthreat Intelligence Technologies** - inaugural 2026; CrowdStrike, Recorded Future named Leaders. - **Magic Quadrant for Supplier Risk Management Solutions** - inaugural recent; Exiger Leader two years running by 2026. - **Magic Quadrant for Service Orchestration and Automation Platforms (SOAPs)** - 2024; replaced the retired BPM MQ (which became a Market Guide for Business Process Automation Tools). - **Magic Quadrant for Data and Analytics Governance Platforms** - created January 2025; second edition published 2026. - **Magic Quadrant for AI Application Development Platforms** - inaugural standard MQ in 2025, after the market was tracked through eMQ Innovation Guides. **Restored MQ:** - **Master Data Management** - retired 2022, restored and republished April 2026 (per Profisee, an MDM software vendor that announced its inclusion: "the first MDM MQ in four years"). The pattern: Gartner adds MQs in markets where AI is creating new vendor categories, and restores MQs where consolidation has reignited buyer interest. For vendors, this means treating the MQ landscape as alive - your market may not have an MQ today and may have one in twelve months, or vice versa. Check the [Gartner publication calendar](https://www.gartner.com/en/research/magic-quadrant) at least quarterly. --- ## What We Don't Know The honest limits of this guide - areas where Gartner publishes inputs but not formulas, and areas where practitioner data is the best signal we have: - **Reprint pricing.** Gartner does not publish a rate card. Practitioner ranges (low five to mid six figures) are estimates with no authoritative source behind them. A vendor about to negotiate a license should expect quotes that vary by usage rights, distribution scope, and term length. - **The actual weight of GPI reviews in MQ scoring.** Gartner says GPI is "one of many" inputs. There is no published formula or weight. - **The CII formula.** Inputs are documented; weighting is opaque. We can describe the structural role; the optimization formula stays inside Gartner. - **Real win/loss rates for first-cycle vendors.** No published statistics. Practitioner anecdotes (Spotlight AR: 1 - 3 years for smaller vendors; Carilu Dietrich: 3 years for first Leader inclusion) are the best signal we have. - **Whether the eMQ format will expand beyond GenAI.** Gartner hasn't said publicly; treat any answer as speculation. - **Whether subscription status influences placement in practice.** Gartner says no. NetScout alleged otherwise; courts sided with Gartner on opinion-not-fact grounds. The structural critique persists in practitioner discussion. - **The full live list of currently-published MQs.** Gartner publishes a Publication Calendar but it shifts. Estimates from third-party reprint indexes suggest 100+ MQs run per year across IT, supply chain, finance, HR, and more - Gartner doesn't publish a single authoritative count. --- ## Step-by-Step: What a Vendor Should Actually Do If you're starting from "we should be in a Magic Quadrant" and need a concrete sequence: 1. **Confirm a Magic Quadrant exists for your market.** Check the MQ catalog (linked in "Should You Prioritize" above). If your space has a Market Guide or Hype Cycle but no MQ, the playbook is different (and lighter). If there's no Gartner research at all, focus on Peer Insights and a Cool Vendors briefing instead. 2. **Pull the most recent Inclusion Criteria for that MQ.** Vendor-hosted reprints - Splunk, Microsoft, Securonix, ServiceNow, and others - host them publicly. Confirm you'd qualify on revenue OR customer count, capability coverage, geographic spread, and the GA-as-of date. 3. **Establish a complete, current [Gartner Peer Insights profile](/guides/how-gartner-peer-insights-actually-works/) and start collecting reviews.** GPI is the entry surface for analyst awareness. The 18-month review window means today's reviews are tomorrow's MQ inputs - and analysts use "sufficiently current and relevant" reviews, so the listing has to stay accurate over time. 4. **Submit a vendor briefing request.** It's free. The submission form lives in the Vendor Briefings area on gartner.com - search "Gartner vendor briefings" to find the current entry point (the canonical URL shifts and Gartner's pages sit behind bot protection, so we don't link directly). The form has a 500-character intro field and asks for your strongest material upfront. Don't waste a slot on a generic pitch - analysts have heard them. 5. **Decide whether you're investing in a Gartner client subscription.** Subscriptions enable inquiries, which generate engagement signal - and feed the CII gate that increasingly governs inclusion. For seed and Series A vendors, you don't need one. For Series B+ with enterprise GTM, the math usually pencils. 6. **Plan the timeline.** ~25 - 30 weeks from notification to publication for a new MQ, plus 9 - 12 months of pre-notification preparation. Total: ~12 - 18 months from "we're going to try" to "we're in the MQ" - assuming you qualify the first time. If you don't, you may end up an Honorable Mention while you build toward criteria for next cycle. 7. **Set the right outcome expectation.** For first-cycle vendors, Niche Player or Honorable Mention is more common than Leader. Practitioners often describe a multi-cycle path before Leader status is realistic. Plan to be in the MQ across multiple cycles. This is the Gartner half of an enterprise vendor's analyst-relations posture. Forrester Wave, IDC MarketScape, and GigaOm Radar each have their own RFIs and timelines. Most enterprise vendors run all four in parallel - see how [TeamViewer manages awards across 8+ platforms](/blog/from-the-trenches-alvaro-padilla-teamviewer/) for one real-world example. --- ## Source Documentation | Source | What It Is | When We Used It | |---|---|---| | [Magic Quadrant for SIEM, 8 October 2025](https://secpost.ru/wp-content/uploads/2025/10/gartner-siem-mq-2025.pdf) | Current SIEM MQ reprint (vendor-hosted) | 2025 SIEM Inclusion Criteria + weights | | [Magic Quadrant for AI Applications in ITSM, September 2025](https://usehalo.com/wp-content/uploads/2025/09/Magic_Quadrant_for_A_823161_ndx.pdf) | AI-ITSM MQ reprint (vendor-hosted) | 2025 AI-ITSM Inclusion Criteria + CII gate detail | | [Gartner Magic Quadrant FAQ (RO_1238439)](https://www.gartner.com/en/about/magic-quadrant-faq) | Official Gartner methodology FAQ - most recent published version | Process, timeline, vendor preview, GPI integration language | | [Magic Quadrant Methodology page](https://www.gartner.com/en/research/methodologies/magic-quadrants-research) | Gartner's canonical methodology landing page | Two-axis framework, four-quadrant taxonomy, evaluation-criteria approach | | [Gartner Magic Quadrant landing](https://www.gartner.com/en/research/magic-quadrant) | Live MQ catalog and publication calendar | Confirming whether an MQ exists for your market; market lifecycle changes | | [Gartner Peer Insights Vendor Resources](https://gpivendorresources.gartner.com/) | GPI vendor portal | GPI ↔ MQ relationship, time-decay weights | | [Carilu Dietrich, "Mastering the Gartner Magic Quadrant: Part 1"](https://www.carilu.com/p/mastering-the-gartner-magic-quadrant) | Practitioner first-person account (Dec 2024) | Realistic vendor journey (3 years to Leader); analyst archetypes | | [Spotlight Analyst Relations](https://www.spotlightar.com/) | AR consultancy editorial | eMQ format detail, RFI question-count, time commitment | | [NetScout v. Gartner (Diginomica, 2014)](https://diginomica.com/) | Independent tech publication | Pay-to-play allegation context | --- ## Key Takeaways - **Inclusion Criteria are real, public, and they tighten cycle to cycle.** The 2024 SIEM MQ required $75M revenue OR 200 customers. The 2025 SIEM MQ requires $85M OR 500. Pull the most recent reprint before you plan. - **Weights vary per MQ.** Don't assume one market's evaluation criteria apply to another's. Two 2025 MQs in adjacent months use different weights for Geographic Strategy, Vertical Strategy, and Business Model. - **CII is now a structural inclusion gate.** Top-N rankings by Customer Interest Indicator govern at least five named MQs. CII privileges vendors with sustained Gartner client engagement over those without. - **Inclusion is free; sustained client engagement is what generates the engagement signal that gates inclusion through CII.** Briefings are free; subscriptions, reprints, and advisory days are paid. The two pay-to-play lawsuits (ZL 2009, NetScout 2014) both concluded in Gartner's favor — ZL dismissed at the district court level, NetScout decided on opinion-protection grounds (Connecticut Supreme Court, January 2020). Treat the engagement-signal layer as how the system works. - **MQ Leader status reaches procurement, AI search reaches a different audience.** Procurement teams who read MQs see your dot. ChatGPT users asking for category recommendations see whatever the public web surfaces. You need both channels. - **eMQ is a real pathway** if your market is GenAI-adjacent. 25-question RFI, 2 - 4 week refresh, six named sub-markets and counting, and a documented graduation path to standard MQ. - **Plan for 12 - 18 months and a Niche Player outcome.** Three cycles before targeting Leader. Most included vendors land outside the Leaders quadrant. Being named at all is the real prize. --- ## About This Guide This guide was written by Blastra in May 2026. We work in [software directories](/glossary/software-directory/) and analyst-relations content daily - see our companion guides for [Gartner Peer Insights](/guides/how-gartner-peer-insights-actually-works/), [G2 badges](/guides/how-to-earn-g2-badges/), [Capterra badges](/guides/how-to-earn-capterra-badges/), [TrustRadius badges](/guides/how-to-earn-trustradius-badges/), [PeerSpot badges](/guides/how-to-earn-peerspot-badges/), and [SoftwareReviews awards](/guides/how-softwarereviews-awards-work/). If you find errors or your team's experience differs from what's documented here, please tell us - guides like this stay accurate only when readers correct them. **Last verified by Blastra:** May 2026. We'll update this guide when Gartner publishes a new MQ FAQ, when the eMQ format expands beyond GenAI sub-markets, when methodology changes are announced, or when new MQ Inclusion Criteria sets surface that materially shift our examples. --- # SoftwareReviews Awards: Data Quadrant + Emotional Footprint Guide URL: https://blastra.io/guides/how-softwarereviews-awards-work/ Description: SoftwareReviews awards explained: Data Quadrant Gold Medals, Emotional Footprint Champions, 130-point scoring, free badge display. What vendors need to know. ## TL;DR SoftwareReviews (by Info-Tech Research Group) runs two award programs - **Data Quadrant Awards** and **Emotional Footprint Awards** - both based entirely on user reviews. Each review captures up to 130 data points, making this one of the most detailed survey methodologies in the directory space. Listing your product is free, and you can display award badges on your website with a linkback. The catch: SoftwareReviews doesn't publish minimum review thresholds or exact scoring formulas, so you can't reverse-engineer your way to a win. You earn it by collecting high-quality reviews from real users, or you don't. (If you see vendors announcing "Gold Medal" awards - that's the previous name for what's now the "Champion" tier. Same award, rebranded.) --- ## Should You Prioritize SoftwareReviews? Before diving into methodology, here's the honest assessment. **Yes, if:** - You sell to enterprise IT buyers or government agencies - that's SoftwareReviews' core audience - Your product is in a category they already track (they cover hundreds of software categories, many split into enterprise and midmarket segments) - You have customers willing to spend 5-6 minutes on a detailed survey (their reviews go deep - 130 data points, not a quick star rating) - You want recognition that's entirely review-driven, with no analyst opinion or market presence score mixed in **Probably not your first priority, if:** - You're a consumer-facing or very early-stage startup - the buyer audience skews enterprise/IT - You have fewer than a handful of customers who could write reviews - the minimum review count isn't published, but you'll need enough to generate statistically meaningful scores - You need quick wins - [Capterra badges](/guides/how-to-earn-capterra-badges/) have clearer thresholds and faster turnaround **The investment:** Claiming a profile is free. Collecting reviews is free (SoftwareReviews even offers gift cards to incentivize reviewers). The main cost is your time - coordinating review requests and optimizing your profile. If you want to use award graphics beyond your website (in sales decks, ads, print materials), you'll need to purchase reprint distribution rights from SoftwareReviews. **Start here:** Go to [softwarereviews.com/categories](https://www.softwarereviews.com/categories), find your category, and look at the current award winners. How many reviews do the top-ranked products have? What are their Composite Scores? That's your benchmark. --- ## Why We Wrote This Guide SoftwareReviews' methodology documentation is spread across multiple pages - the vendor-awards page, the about page, the what-we-do page, individual category pages, the Info-Tech portal, and older award announcement pages that still use pre-rebrand terminology. The award program recently rebranded from "SoftwareReviews Gold Medals" to "Info-Tech Vendor Awards, Powered by SoftwareReviews," and not all pages have caught up. We cross-referenced every official source and put it in one place. The source table at the end catalogs what we found, which sources have dates, and which ones you should trust. --- ## What SoftwareReviews Is (And Why It's Different) SoftwareReviews is a division of [Info-Tech Research Group](https://www.infotech.com/about), a global IT research and advisory firm serving more than 30,000 professionals. Founded in 2015 and headquartered in Toronto, SoftwareReviews was built to give Info-Tech's IT advisory clients better data for [software selection decisions](/glossary/software-directory/). **How it compares to other platforms:** | | SoftwareReviews | G2 | Capterra | GPI | |---|---|---|---|---| | **Scoring basis** | 100% user review data | Reviews + Market Presence | Reviews + attribute ratings | Reviews + analyst research | | **Data points per review** | Up to 130 | ~50 | ~10 attributes | ~50 | | **Analyst opinion in scoring?** | No | No (Market Presence adds non-review factors) | No | Yes (feeds into Magic Quadrant) | | **Badge display cost** | Free on website (linkback required) | [$2,999+/year subscription](/guides/how-to-earn-g2-badges/) | [Free forever](/guides/how-to-earn-capterra-badges/) | [Free (strict compliance rules)](/guides/how-gartner-peer-insights-actually-works/) | | **Buyer audience** | Enterprise IT, government | Broad (SMB to enterprise) | SMB to midmarket | Enterprise | The "100% user review data" claim is worth unpacking: SoftwareReviews doesn't include analyst opinions or market presence scores in their rankings. The composite score aggregates user-provided data - but the formula for weighting those data points is proprietary. So it's user data scored through a proprietary lens, which is a meaningful distinction from platforms that mix in analyst assessment. --- ## The Two SoftwareReviews Award Programs SoftwareReviews runs two distinct recognition programs per category, staggered roughly six months apart. Each measures something different and carries its own award title. For example, the Customer Intelligence category shows its next Data Quadrant award in August 2026 and its next Emotional Footprint award in February 2027. Your category's dates will differ - check your category page on softwarereviews.com for specific timing. **Naming note:** SoftwareReviews recently rebranded their awards to "Info-Tech Vendor Awards, Powered by SoftwareReviews." Older award pages and press releases still reference "Gold Medal Awards" - that's the same thing as the current "Champion" tier. If you see a vendor announcing a "SoftwareReviews Gold Medal," that's the Data Quadrant Champion badge under its previous name. ### 1. Data Quadrant Awards (Champions / formerly Gold Medals) The Data Quadrant is SoftwareReviews' flagship evaluation framework. It plots products in a two-dimensional quadrant - similar in concept to the [G2 Grid](/guides/how-to-earn-g2-badges/) or Gartner's Magic Quadrant, but scored entirely from user reviews. **The two axes:** | Axis | What It Measures | How It's Scored | |------|-----------------|-----------------| | **Product Features & Satisfaction** (Y-axis) | How satisfied users are with the software itself | Likelihood to recommend + satisfaction across top product features | | **Vendor Experience & Capabilities** (X-axis) | How satisfied users are with the vendor relationship | Weighted average of vendor capability scores (implementation, training, support, roadmap) + emotional response ratings (trustworthy, respectful, fair) | **Quadrant placements:** | Placement | Position | What It Means | |-----------|----------|---------------| | **Leader** | Top-right | Strong on both product features and vendor experience | | **Product Innovator** | Top-left | Strong product, developing vendor experience | | **Service Star** | Bottom-right | Strong vendor experience, weaker product features | | **Challenger** | Bottom-left | Performing well in some areas, trailing in others | **Award badges in the Data Quadrant program:** | Badge | What It Recognizes | |-------|-------------------| | **Champion** (gold, formerly "Gold Medal") | Highest overall performers in product quality and value | | **Leader** | Other upper-right quadrant solutions with elite performance | | **Vendor Capability** (e.g., Best Support, Top UX) | Universal strengths across vendor dimensions | | **Top Feature** (e.g., Best Forecasting in FP&A) | Category-specific standout features | **Champions** are the headline award. They go to the top-performing products in a category based on a Composite Score (CS) that averages four evaluation areas: 1. **Net Emotional Footprint** - Aggregated emotional response ratings 2. **Vendor Capabilities** - Satisfaction with implementation, support, training, roadmap 3. **Product Features** - Satisfaction across key features 4. **Likeliness to Recommend** - The classic NPS-adjacent metric The axes are dynamically adjusted based on minimum and maximum values in each category's data set. Your quadrant position is relative to everyone else in your category - there's no fixed score that guarantees a placement. **Go deeper:** [Data Quadrant Champion](/all-software-awards-and-badges/softwarereviews-dq-champion/) and [Data Quadrant Leader](/all-software-awards-and-badges/softwarereviews-dq-leader/) cover what each tier signals to buyers and AI search — plus [Vendor Capability](/all-software-awards-and-badges/softwarereviews-vendor-capability/) and [Top Feature](/all-software-awards-and-badges/softwarereviews-top-feature/) awards for category-specific strengths. --- ### 2. Emotional Footprint Awards (Champions) The Emotional Footprint is SoftwareReviews' measurement of the vendor-customer relationship - the trust and experience dimension that product feature checklists miss. **The Net Emotional Footprint Index** tracks responses across **26 dimensions** spanning five categories: | Category | What It Measures | Example Dimensions | |----------|-----------------|-------------------| | **Purchasing** | The buying experience | Fair contracting, transparent negotiation | | **Service Experience** | Ongoing support quality | Responsiveness, helpfulness, expertise | | **Product Impact** | How the product affects daily work | Productivity improvement, reliability | | **Vendor Strategy** | Confidence in the vendor's direction | Product roadmap, innovation, market understanding | | **Conflict Resolution** | How disputes and problems are handled | Fairness, speed, accountability | **Emotional Footprint Champions** are the vendors that score highest across these relationship dimensions in their category. **Go deeper:** [Emotional Footprint Champion](/all-software-awards-and-badges/softwarereviews-ef-champion/), [CX Leader](/all-software-awards-and-badges/softwarereviews-cx-leader/), and [Emotional Footprint Experience](/all-software-awards-and-badges/softwarereviews-ef-experience/) — how each tier is earned and what it communicates about the vendor-customer relationship. The **Emotional Diamond** is the visual representation - a diamond-shaped chart that shows how a vendor performs across emotional dimensions compared to perceived value. Think of it as the relationship counterpart to the Data Quadrant's feature-and-capability assessment. --- ## How the Review Process Works SoftwareReviews collects reviews through a proprietary online survey that captures up to 130 data points per review. Here's what reviewers go through: **Survey details:** - Takes 5-6 minutes to complete - Covers 11 product features and 11 vendor capabilities - Includes emotional response ratings across 26 dimensions - Asks for likelihood to recommend and overall satisfaction - Reviewers authorize publication of their name, title, organization, and LinkedIn profile photo **Review incentives:** SoftwareReviews offers gift cards for reviews that meet their quality standards. This is standard across the industry - [G2](/guides/how-to-earn-g2-badges/), Capterra, and others also incentivize reviews. Worth knowing because [incentivized reviews](/glossary/incentivized-reviews/) tend to skew positive (vendors naturally solicit happy customers). **The output per product:** - **Product Scorecard** - Detailed [ratings](/glossary/rating-and-ranking/) across all 11 features and 11 capabilities, with competitive rankings for each factor - **Data Quadrant placement** - Where the product falls in the Leader/Product Innovator/Service Star/Challenger quadrant - **Emotional Footprint profile** - The diamond visualization showing relationship quality --- ## Free Awards, Paid Advisory: The Business Model SoftwareReviews' award programs are free to participate in - but the platform also has a paid side worth understanding. **Free for vendors:** - Claiming and maintaining your product profile - Collecting reviews through the platform - Earning award placements and badges - Displaying badges on your website (with linkback) **Paid vendor services:** - Reprint distribution rights for using badges in broader marketing (sales decks, ads, print) - Marketing content packages (category reports, infographics, buyer experience reports) - Analyst advisory and research access - Review collection campaign support **Paid buyer services:** - Software selection advisory engagements - Full-service consulting for complex procurement decisions **What this means for your awards:** Award eligibility is based entirely on user reviews, with no paid placements or analyst opinions influencing results. The paid services are optional marketing and advisory tools. You don't need to buy anything to earn or display recognition on your website. --- ## How to Work Toward SoftwareReviews Awards SoftwareReviews awards are automatic - there's no application process. If your product collects enough qualifying reviews with high enough scores, you're eligible. Here's what you can control: ### Step 1: Claim Your Profile Go to [provider.softwarereviews.com](https://provider.softwarereviews.com/) and claim your product profile. Once approved, you'll get an onboarding call. This is free. **Optimize your profile with:** - Product overview and description - Screenshots and demo videos - Customer testimonials - Whitepapers and collateral A complete profile doesn't affect your review scores directly, but it does affect how buyers perceive your product when they find you on the platform. ### Step 2: Start Collecting Reviews This is where the work lives. SoftwareReviews reviews take 5-6 minutes and go deep, so you need customers who are willing to invest that time. **Practical tips:** - Target customers who've had a strong experience with both your product AND your support team - the survey measures both - Time your outreach after successful implementations or support interactions - Be upfront about the survey length - 5-6 minutes is more than a quick G2 review - SoftwareReviews provides its own [review collection](/glossary/review-campaign/) tools through the vendor portal - Reviewers can earn gift cards for qualifying reviews, which helps incentivize participation ### Step 3: Focus on What the Survey Measures Since you can't see the exact scoring formula, focus on the inputs you can influence: **For Data Quadrant placement (features + vendor experience):** - Product quality and feature satisfaction - the product itself needs to deliver - Implementation experience - smooth onboarding matters - Training and documentation - do users feel supported? - Customer support quality - responsiveness and helpfulness - Product roadmap confidence - do users trust your direction? **For Emotional Footprint (relationship quality):** - Purchasing experience - was the sales process fair and transparent? - Ongoing service - are you responsive when things go wrong? - Conflict resolution - how do you handle disputes? - Strategic trust - do customers believe in your product vision? ### Step 4: Monitor Your Category Check your category page on SoftwareReviews periodically. You can see: - Your Composite Score and CX Score - How you rank relative to competitors - Where you sit in the Data Quadrant (if included in the latest report) Reports are published approximately twice a year per category. ### Step 5: Use Your Awards If you earn recognition: **Free (with conditions):** - Display award badges on your website - must link back to SoftwareReviews (your product page, category award page, or main award page) **Requires purchased reprint rights:** - Using award graphics in sales decks, advertisements, email campaigns, print materials - Using Data Quadrant visualizations, Emotional Footprint diamonds, or other branded graphics in unlimited digital and print formats - Any formatting changes (color, font size) to badge graphics **Attribution always required:** - Reference SoftwareReviews and the specific report - Include a link to softwarereviews.com Contact vendors@softwarereviews.com for reprint and web rights pricing. --- ## Quick Reference ### Data Quadrant Awards - Composite Score on a 1-10 scale - Four components: Features, Capabilities, Emotional Footprint, Likelihood to Recommend - Quadrant positions: Leader, Product Innovator, Service Star, Challenger - Top tier: **Champion** badge (formerly "Gold Medal") - Additional badges: Leaders, Vendor Capability (e.g., Best Support), Top Feature (category-specific) - Published once per year per category ### Emotional Footprint Awards - CX Score on a 1-10 scale - 26 dimensions across 5 relationship categories - Top tier: **Emotional Footprint Champion** badge - Additional badges: CX Leaders, Emotional Footprint Experience badges (specific relationship strengths) - Published ~6 months after the Data Quadrant for each category ### General - Profile: Free to claim - Badge display: Free on website (linkback required); broader marketing requires reprint rights - Review verification: Name, title, organization, LinkedIn profile published - Review survey length: ~5-6 minutes - Review incentive: Gift card for qualifying reviews - Data points per product: Up to 130 - Parent company: Info-Tech Research Group (Toronto, founded ~1997) - Award branding: "Info-Tech Vendor Awards, Powered by SoftwareReviews" (current); "SoftwareReviews Gold Medal" (legacy) --- ## What We Don't Know SoftwareReviews' documentation leaves several questions unanswered for vendors trying to plan strategically: - **Minimum review count** - The official language says vendors need "a minimum number of current reviews in the year." The specific number isn't published. - **Composite Score thresholds** - What score earns a Gold Medal vs. a Leader placement vs. no award? The axes are dynamically adjusted, so thresholds shift by category and reporting period. - **How recency weights reviews** - Recency is listed as a factor in product placement, but the decay curve isn't documented. - **Review eligibility window** - How old can a review be and still count toward the current evaluation? "Current reviews in the year" is the closest language available, but whether that means calendar year or rolling 12 months isn't clear. - **Exact award publication schedule** - Each category gets one Data Quadrant and one Emotional Footprint report per year, staggered ~6 months apart. But there's no single public calendar - you have to check your specific category page for dates. - **How the rebrand affects older badges** - "Gold Medal" is becoming "Champion." Vendors who won Gold Medals in previous years may still display those badges. Whether old badge graphics remain valid or need replacing with the new branding isn't documented. - **Reprint rights pricing** - Contact vendors@softwarereviews.com. Not published publicly. - **Total category count** - Described as "hundreds" in press materials, but the exact count isn't documented. This level of opacity is common across [software directories](/glossary/software-directory/). [SourceForge](/guides/how-to-earn-sourceforge-badges/) doesn't publish thresholds either, and even [G2's Grid methodology](/guides/how-to-earn-g2-badges/) has proprietary elements. It makes strategic planning harder - you're aiming at a target you can see but can't measure precisely. --- ## SoftwareReviews vs. Other Platforms If you're deciding where to invest your review campaign efforts, here's how SoftwareReviews compares: | Factor | SoftwareReviews | G2 | Capterra | GPI | |--------|----------------|-----|----------|-----| | **Best for** | Enterprise IT buyers | Broad B2B discovery | SMB/midmarket comparison | Enterprise analyst credibility | | **Review depth** | 130 data points | ~50 data points | ~10 attributes | ~50 data points | | **Scoring method** | 100% user reviews | Reviews + Market Presence | Reviews + attribute ratings | Reviews + analyst integration | | **Minimum reviews** | Not published | 10 for Grid placement | 20 for badges | Not published (per-market) | | **Badge display cost** | Free on website | $2,999+/year | Free forever | Free (strict compliance) | | **Award frequency** | ~Twice annually | Quarterly | Quarterly | Per-market schedule | | **Unique value** | Deepest survey methodology | Largest review volume | Clearest badge thresholds | Feeds into Magic Quadrant | **Our take:** SoftwareReviews is worth the effort if your buyers are enterprise IT professionals who trust Info-Tech Research Group as an advisory source. The 130-data-point survey produces detailed evaluations that go well beyond a simple star rating. If you're already collecting reviews on G2 or Capterra, adding SoftwareReviews diversifies your [visibility posture](/glossary/visibility-posture/) - you're reducing dependence on a single platform's pricing changes or algorithm updates. If you have limited review collection capacity, [Capterra](/guides/how-to-earn-capterra-badges/) gives you the clearest path to badges with published thresholds. --- ## Key Takeaways 1. **Two distinct programs, staggered ~6 months apart.** Data Quadrant Awards (Champions + quadrant placement) measure features and vendor capabilities. Emotional Footprint Awards (Champions) measure the vendor-customer relationship. Earning both is the strongest signal. 1. **130 data points per review.** The deepest survey methodology in the directory space. Reviews take 5-6 minutes, so you need engaged customers willing to invest the time. 1. **User review data, with proprietary weighting.** No analyst opinion or market presence score in the rankings. But the formula for combining those 130 data points isn't public. "Transparent" means reports show the components. 1. **Free to list and earn.** Claiming a profile is free. Collecting reviews is free. Displaying badges on your website is free (with a linkback). Broader marketing use requires paid reprint rights. 1. **Thresholds aren't published.** You can't aim for a specific score because the quadrant axes adjust dynamically based on your category's data. Focus on collecting high-quality reviews rather than targeting a number. 1. **Enterprise IT audience.** If your buyers research software through Info-Tech or trust their advisory services, SoftwareReviews recognition carries weight. Less relevant for consumer tools or very early-stage startups. 1. **Rebrand in progress.** "Gold Medal" is becoming "Champion." "SoftwareReviews Awards" is becoming "Info-Tech Vendor Awards." If you see either name, it's the same program. 1. **Diversification play.** Adding SoftwareReviews to your review portfolio alongside G2, Capterra, or [GPI](/guides/how-gartner-peer-insights-actually-works/) reduces your dependence on any single platform's pricing or algorithm changes. --- ## FAQ ### What's the difference between a SoftwareReviews Data Quadrant Award and an Emotional Footprint Award? Data Quadrant Awards measure product features and vendor capabilities — plotted on a two-axis chart (Y = Product Features & Satisfaction, X = Vendor Experience & Capabilities). Emotional Footprint Awards measure the vendor-customer relationship across 26 dimensions spanning purchasing, service, product impact, vendor strategy, and conflict resolution. Each category gets one Data Quadrant report and one Emotional Footprint report per year, staggered approximately six months apart. ### Was the SoftwareReviews Gold Medal renamed? Yes. "Gold Medal" is now "Champion." The broader program also rebranded from "SoftwareReviews Awards" to "Info-Tech Vendor Awards, Powered by SoftwareReviews." If you see a vendor announcing a SoftwareReviews Gold Medal, that's the current Champion tier under its previous name. ### Is there a minimum number of reviews needed for a SoftwareReviews Champion badge? SoftwareReviews says vendors need "a minimum number of current reviews in the year" but doesn't publish the specific number. The quadrant axes adjust dynamically based on each category's data, so thresholds shift by category and reporting period. Focus on collecting high-quality reviews from engaged customers rather than targeting a fixed number. ### Are SoftwareReviews badges free to display? Free on your website with a linkback to SoftwareReviews (your product page, category award page, or main award page). Broader marketing use — sales decks, ads, email campaigns, print materials, or any formatting changes to the badge — requires purchased reprint distribution rights. Contact vendors@softwarereviews.com for pricing. ### How is SoftwareReviews different from G2 and Capterra? Three main differences. First, SoftwareReviews scoring is 100% user-review based — no Market Presence score, no analyst opinion. Second, reviews capture up to 130 data points each (G2 ~50, Capterra ~10 attributes), which is why reviews take 5-6 minutes. Third, the audience is enterprise IT and government buyers who trust Info-Tech Research Group as an advisory source. G2 and Capterra serve a broader audience; SoftwareReviews is narrower and deeper. ### How often does SoftwareReviews publish awards? Approximately twice per year per category — one Data Quadrant report and one Emotional Footprint report, staggered about six months apart. There's no single published calendar; specific dates are on individual category pages at softwarereviews.com/categories. ### Does SoftwareReviews include analyst opinions in the scoring? No. All scoring comes from user review data — likelihood to recommend, feature satisfaction, vendor capabilities, and emotional response ratings. The formula for combining those 130 data points is proprietary, but no analyst assessment or market presence score is mixed in. --- ## Source Documentation We reviewed every official source we could access. SoftwareReviews' main site is JavaScript-rendered, so some pages required indirect research through search results and third-party coverage. ### Primary Sources (Dated or Official) | Source | Date | Notes | |--------|------|-------| | [SoftwareReviews Vendor Awards](https://www.softwarereviews.com/vendor-awards) | Accessed March 2026 | Award tiers, methodology, badge descriptions, eligibility | | [2025 Top-Rated Software Press Release](https://www.prnewswire.com/news-releases/2025s-top-rated-software-solutions-identified-through-info-tech-research-groups-softwarereviews-platform-302681687.html) | 2025 | Confirms methodology, 130 data points, composite score structure | | [SoftwareReviews Vendor Portal](https://provider.softwarereviews.com/) | Current | Profile claiming, features, onboarding process | | [Usage and Attribution Policy](https://provider.softwarereviews.com/usage-and-attribution) | Current | Badge display rules, reprint rights, attribution requirements | | [Customer Intelligence Category Page](https://www.softwarereviews.com/categories/customer-intelligence) | Accessed March 2026 | Live example of scores, badges, quadrant, and schedule | | [About SoftwareReviews](https://www.infotech.com/software-reviews/about) | Current | Company background, methodology overview | ### Secondary Sources (No Date or Third-Party) | Source | Notes | |--------|-------| | [B2B SaaS Reviews Overview](https://b2bsaasreviews.com/best-software-review-sites-softwarereviews/) | Third-party overview, useful for context | | Individual vendor win announcements (Convene, Applauz, QorusDocs, Ivanti, Avolution) | Confirm award structure and terminology | --- ## About This Guide This guide was researched and written by [Blastra](https://blastra.io), a [SaaS listings management](/glossary/software-listings-management/) platform that helps software companies manage their presence across directories. We work in these platforms daily and write about them because we've mapped how they work. **Last verified:** March 2026 **Freshness note:** SoftwareReviews updates their reports and methodology periodically. If you're reading this more than six months after the verification date, check [SoftwareReviews' awards page](https://www.softwarereviews.com/awards) for any changes. Platform methodologies evolve, and what's accurate today may shift. --- # A Tactical Guide to Software Category Creation URL: https://blastra.io/guides/how-to-create-a-new-software-category/ Description: Creating a new software category used to be a play for market leaders like Gong. Now it's routine for AI founders. Here's what to do when your category doesn't exist yet. ## TL;DR Creating a new software category used to be a deliberate strategic play - something companies like Gong did to redefine a market. Now it's a routine problem for founders building with AI. New product types are emerging faster than directories and analysts can categorize them, and the category you belong in may not exist yet. This guide walks you through how to get it created. - **Start with G2.** It's the only major platform with a documented, vendor-accessible path for requesting a new category. - **You need approximately ten products** in the space before G2 will create one. The competitors list is the most important part of your submission. - **Other platforms range from opaque to impossible.** Gartner Peer Insights has a suggestion form. TrustRadius accepts email requests. Capterra (now owned by G2) has no path yet. Trustpilot's categories come from Google - there is nothing to request. - **Don't wait to list.** Pick the best available category while your request is pending. You can move later. Whether rigid software taxonomies are even the right model for how buyers discover products is a separate question, worth asking but outside this guide. For now, categories are how directories work, and directories are where buyers and AI look. --- ## Taxonomies Can't Keep Up with AI Back in 2019, Gong spent months building vocabulary, briefing analysts, and running content campaigns before G2 formalized "Revenue Intelligence" as a category. That was a choice: a company deciding to name a market. Gong's former CMO Udi Ledergor wrote the playbook for this path in [*Courageous Marketing*](https://www.amazon.com/Courageous-Marketing-Marketers-Playbook-Success/dp/B0DSDWBR3Z), and it's worth reading if you're considering category creation as a strategic initiative. What's happening now is different. AI created an explosion of product types that didn't exist three years ago, and directory taxonomies haven't caught up. Some platforms are faster than others - SourceForge, with over 4,000 categories, appears to be the quickest at adding AI-specific distinctions. G2 has been adding AI-specific categories at a high pace through 2025 and into 2026 (for a deeper look, see our [guide to G2 AI categories](/guides/how-g2-ai-categories-work/)). But many platforms are behind, and gaps remain across all of them. Founders are building real products, selling to real customers - and when they go to list, the [category that describes what they built](/blog/who-decides-what-your-software-is/) either doesn't exist or describes how things were done before AI. We're seeing this with several Blastra clients right now. Their products use AI to do something that directory categories only cover in their pre-AI form — and the mismatch means reduced visibility in the places where buyers and LLMs look first. This guide helps you get a new category created on directories — which, if you move early, can put you ahead of the competition before the category fills up. ## Do You Actually Need a New Category? Before submitting a request to any platform, one question matters: is your product distinct from what existing categories describe, or does it belong in an existing category with better positioning? New categories represent new solutions, not better versions of existing products. The test is features. A product that does what CRM software does but faster belongs in CRM. A product that captures a different type of data, operates in a different workflow, or produces a different output may warrant its own category. Across platforms, analysts and research teams evaluate category requests by comparing feature sets against current definitions. The test is whether the product is different, not whether the vendor believes it is. You also need peers. A market with only one participant hasn't been validated as a market yet. Sangram Vajre, co-founder of Terminus, learned this when building the ABM (Account-Based Marketing) category. When an analyst firm tried to push Terminus into an "advertising" bucket, Vajre invited five competitors to form a consortium and collectively argue they were all ABM platforms. Six months later, the analyst created the ABM category. A category with ten companies in it is worth more to each of them than a market with one company claiming a space nobody recognizes. If you can name roughly ten products that do something similar to yours - even if they approach it differently or serve different audiences - you have a case. If you can name three, you may be too early for most platforms. --- ## Platform-by-Platform: How to Request a New Category ### G2 G2 is the only major B2B [software directory](/glossary/software-directory/) with a documented, vendor-accessible process for requesting a new category. Based on the SuprSend case and G2's own guidance, roughly ten products in the proposed space appears to be the threshold before G2 will create one. **How G2 adds new categories** G2's Market Research team drives category creation. Analysts cover different industry segments, monitor market developments, speak with vendors and buyers, and identify emerging spaces. Vendor requests are one input into that process. G2 publishes upcoming new categories on its [Research Agenda](https://research.g2.com/methodology/research-agenda). As of early 2026, the queue includes AI Security Platforms, AI-Security Posture Management (AI-SPM), AI AppSec Assistants, Revenue AI, AI Interview Assistants, and AI Medical Diagnostic Platforms, among others. The Research Agenda also shows recently added categories, category updates, and category deletions. G2 does sunset categories — though deletions have been rare enough that the current agenda reads "N/A." **How to submit** The process, [documented by SuprSend's founder on Indie Hackers](https://www.indiehackers.com/post/if-you-cant-get-1-on-g2-create-a-new-category-that-s-what-we-did-e863ef6e63) after successfully creating the "Notification Infrastructure" category: 1. Go to [G2 Support](https://support.g2.com/s/contact-support-other-issue) and click "Contact Support" 2. Sign in with your G2 credentials 3. Submit a new case with the subject "Change / Add New Category for Your Product" 4. Complete the form with: proof that your product warrants a new category, proposed category name, eligibility criteria for inclusion, and ten competitors that fit the new category 5. The case gets assigned medium priority and the support team responds within 2-3 days G2 then contacts representatives from the ten companies you identified, verifies the need for the new category, and conducts follow-ups. Any vendor with a G2 profile can submit - a paid relationship with G2 is not required. **Timeline and outcomes** In SuprSend's case — the most detailed public account of this process — the full cycle took approximately four months from submission to the category going live. SuprSend became the top-ranked product in the "Notification Infrastructure" category they helped define. The outcome is one of three things: approval (the category is created and you're placed in it), backlog (the market is recognized as emerging but not yet mature enough), or rejection (the feature set didn't clear the bar of distinction from existing categories). According to G2's own documentation, [about 40% of submissions are either rejected or backlogged](https://learn.g2.com/what-category-designers-need-to-know-about-g2). G2 hasn't published the specific criteria that determine which outcome you get. --- ### Gartner Peer Insights Gartner Peer Insights uses "market" where other platforms say "category," and the distinction matters. A GPI market is tied to a Gartner research area: Magic Quadrants, Market Guides, and the analyst coverage that goes with them. Requesting a new market on GPI means proposing that Gartner's analyst organization recognize and cover a new research space. The vendor portal has a new market suggestion form. The GPI Market Alignment team will review it within 7 to 10 days for an initial determination, at their sole discretion. What happens after that initial response - and how long full market creation takes - isn't published. Submitting is worth doing - it puts the request on record and signals demand. The realistic expectation is that it's one data point in a much larger research process. Contact for questions: peerinsightsvendorsuccess@gartner.com. --- ### TrustRadius TrustRadius adds new categories regularly. Vendors can request a new category by emailing support@trustradius.com. The process is informal - no published criteria, timeline, or form. --- ### Capterra Capterra has no published process for requesting a new software category. Their listing guidelines state that products must fit, at Capterra's sole discretion, within an existing category. G2 acquired Capterra (along with Software Advice and GetApp) from Gartner in [February 2026](https://company.g2.com/news/g2-acquires-capterra-software-advice-getapp). G2's acquisition announcement specifically mentioned taxonomy unification as part of the plan. If Capterra's taxonomy converges with G2's more flexible model — which we expect — a category you establish on G2 now may carry over to Capterra later. For a deeper look at what the acquisition means for vendors, see our [analysis of the deal](/blog/g2-capterra-acquisition-vendor-strategy/). Another reason to start the G2 process first. --- ### SourceForge SourceForge has over 4,000 categories - the largest taxonomy of any directory. We have not found a process for requesting an entirely new category on SourceForge. If you've navigated this, reach out to ceo@blastra.io. --- ### Trustpilot Trustpilot's categories are based on Google My Business categories. New ones cannot be suggested. Trustpilot's [FAQ](https://support.trustpilot.com/hc/en-us/articles/201839083-How-do-I-change-the-category-on-my-business-profile) states this directly. --- ### PeerSpot We have not found a published process for requesting new categories on PeerSpot. If you've navigated this, reach out to ceo@blastra.io. --- ## What to Do While You Wait Category requests take time — four months in the SuprSend case on G2. Other platforms don't publish timelines at all. Don't let that stall you. Pick the best available category and get listed. A wrong-but-close category is better than no listing - buyers can still find you in comparison lists, and reviews you collect now transfer when you move categories later. Check where your direct competitors are listed and mirror their category choices where it makes sense. On G2, if nothing fits well, you may end up in one of their "Other" catch-all categories - like "Other AI Tools" or "Other Marketing Tools" - which exist specifically for products that don't map to an established category yet. That's where Blastra is listed right now, because there's no "SaaS Listings Management" category on G2. It's not ideal, but it's a foothold. The most important thing you can do while waiting is collect reviews. Reviews follow the product, not the category. Ten reviews in a traditional category today become ten reviews in the AI-specific category tomorrow, and those ten reviews are what unlock G2 Grid eligibility, badge placement, and quarterly reports. Our [guide to getting G2 and Capterra reviews](/guides/how-to-get-g2-capterra-reviews/) covers the mechanics. Start building your [review](/glossary/review-campaign/) footprint now — it compounds regardless of which shelf you're on. --- ## After a New Category Goes Live **Reviews are the first priority.** On G2, a product needs at least ten reviews in a category to qualify for Grid report eligibility. Other platforms have similar thresholds. Without enough reviews, your listing exists but doesn't appear in the rankings and reports that buyers actually use. **New categories have a window.** When a category is new, few products have enough reviews to qualify for reports and badges. The competition for top placement is dramatically lower than in mature categories with hundreds of established competitors. Profound is a clear example: when G2's AEO (Answer Engine Optimization) category earned its [first Grid Report in Winter 2026](https://www.prnewswire.com/news-releases/aeo-software-category-grows-over-2000-on-g2-as-half-of-b2b-buyers-start-their-search-with-ai-chatbots-over-google-302674557.html), only 9 products qualified for the Grid even though over 150 were already listed in the category. Profound earned Leader status and used that recognition as part of their narrative around a [$96 million Series C](https://www.globenewswire.com/news-release/2026/02/24/3243475/0/en/Profound-Raises-Series-C-at-1B-Valuation-to-Lead-a-New-Category-of-Marketing.html). That window closes as more products collect reviews. There's also an AI visibility dimension: G2 is [among the most-cited domains](/blog/what-is-saas-listings-management/) by LLMs like ChatGPT and Perplexity. A Leader badge in a category means structured, high-authority data that AI systems can reference when recommending software - which matters more in a new category where few other signals exist. **Help define the vocabulary.** G2 tends to rank highly for "[category name] software" searches on Google. Once your category is live, every piece of content you publish using that category name drives buyers toward your G2 listing through organic search. Vendors who run PR around the category name, publish content teaching buyers the vocabulary, and build the narrative publicly tend to establish the association between their product and the category before competitors can. G2 also offers to collaborate on announcement content when new categories go live. **Spread across platforms.** A new category on one directory is one shelf. Getting your product recognized across multiple directories - in whatever [categories](/glossary/categories/) fit best on each - gives you more surface area for buyers and AI systems to find you. Category gaps are often the primary reason for a weak [visibility posture](/glossary/visibility-posture/) - [Blastra's assessment](https://blastra.io) can show where yours stand. --- ## Sources This guide draws on publicly available documentation from each platform, plus two first-hand accounts of category creation: - [G2: "What Every Category Designer Needs to Know About G2"](https://learn.g2.com/what-category-designers-need-to-know-about-g2) — category creation criteria, 40% rejection/backlog rate - [G2 Research Agenda](https://research.g2.com/methodology/research-agenda) — upcoming new categories and report schedules - [Indie Hackers: "If You Can't Get #1 on G2, Create a New Category"](https://www.indiehackers.com/post/if-you-cant-get-1-on-g2-create-a-new-category-that-s-what-we-did-e863ef6e63) — SuprSend's step-by-step account of creating the Notification Infrastructure category - [Gartner Peer Insights: Getting Listed](https://gpivendorresources.gartner.com/en/articles/8212705-getting-listed-on-peer-insights) — vendor onboarding and market suggestion process - [TrustRadius: How Product Categories Work](https://trustradius.freshdesk.com/support/solutions/articles/43000536332-how-product-categories-work) — category management and requests - [Capterra Product Listing Guidelines](https://www.capterra.com/legal/listing-guidelines/) — category placement policy - [Trustpilot FAQ: How Do I Change My Category](https://support.trustpilot.com/hc/en-us/articles/201839083-How-do-I-change-the-category-on-my-business-profile) — confirms Google-based category system - Udi Ledergor, [*Courageous Marketing*](https://www.amazon.com/Courageous-Marketing-Marketers-Playbook-Success/dp/B0DSDWBR3Z) (2025) — Gong's category creation playbook - [Sangram Vajre on ABM category creation](https://behindthecategory.podbean.com/e/creating-the-account-based-marketing-abm-category-with-sangram-vajre/) — Behind the Category podcast, May 2023 - [G2 acquires Capterra, Software Advice, and GetApp](https://company.g2.com/news/g2-acquires-capterra-software-advice-getapp) — January 2026 --- ## Related Guides - [G2 AI Categories: The Complete List](/guides/how-g2-ai-categories-work/) — 40+ AI-specific categories created since March 2025, how placement works, and how to get listed - [How to Get G2 and Capterra Reviews](/guides/how-to-get-g2-capterra-reviews/) — Review collection mechanics for both platforms - [How to Get Ranked on G2](/guides/how-to-get-ranked-on-g2/) — G2's scoring algorithm, Grid placement, and review thresholds - [How G2 Badges Work](/guides/how-to-earn-g2-badges/) — Badge requirements, costs, and deadlines for 2026 --- --- # G2 AI Categories: The Complete List and How to Get Into the Right One URL: https://blastra.io/guides/how-g2-ai-categories-work/ Description: Full list of 45+ G2 AI categories created March 2025–May 2026, sorted by date. How G2 placement works, how to check whether a category has a Grid, and how to get listed. ## TL;DR G2 spent the last year-plus building a new AI taxonomy — [categories](/glossary/categories/) that didn't exist eighteen months ago now have buyers comparing products inside them. Whether a given category is competitive yet isn't obvious from the outside: the review counts G2 displays on category pages don't predict it, and being listed isn't the same as being eligible for a [Grid](/glossary/grid/). A category with an eye-catching review count can have no Grid at all, while a newer one with a fraction of the volume already does. This guide explains how G2 AI categorization works in practice — how placement decisions get made, why the displayed review count misleads, how to tell whether a category still has first-mover room, and what to do in my.G2 to get your product into the categories that actually matter. --- ## Should You Prioritize Getting Into a G2 AI Category? **Yes, if:** - Your product uses AI as a core capability (agentic workflows, ML-driven features, generative AI) - You already have a G2 profile with reviews in other categories - You want to appear in AI-specific buyer comparison pages and Grid reports **Maybe, if:** - You've added AI features to an existing product and aren't sure if they qualify - You're in a category that doesn't feel right anymore because your product has evolved **One clarification:** Getting *into* a category is the easy part — it takes a support request and 1–2 business days if approved. The harder part is collecting enough reviews attributed to that specific category to appear on a Grid report. Many AI categories — especially the newest ones — don't have a Grid yet, which means no products hold ranked positions there. The section on [how to tell whether a category has a Grid](#how-to-tell-whether-a-category-has-a-grid-and-why-it-matters) below explains why Grid status matters more than the review count displayed on a category page, and how to check it for yourself. ## One in Three New G2 Categories Is Now AI Between March 2025 and May 2026, G2 added dozens of new categories to its taxonomy — more than 45 of them AI-specific, and AI's share of everything new held at roughly a third (in some months, far higher — six of nine in May 2026). Meanwhile, products listed directly under G2's "Artificial Intelligence Software" parent total more than 18,000 out of approximately 200,000 on the platform — nearly 1 in 10. (Many AI categories sit under functional parents like Sales Tools or Recruiting Software rather than under the AI parent directly, so the actual number of AI-categorized products is higher.) Most of those products are concentrated in a handful of massive categories. The newest AI categories are the opposite — nearly empty, with products that have zero reviews. Here's what the timeline shows. The first wave (March/April 2025) established the foundations: Emerging AI Software as the catch-all incubator, GEO Tools, AI Customer Support Agents, AI IT Agents, AI SDRs, and AI Coding Assistants. These were categories G2 had been watching take shape inside broader categories for months. By mid-2025, the categories got specific. G2 chose names like "Autonomous Endpoint Management" over something broad like "AI for security," and "AI Software Testing Tools" instead of a general "AI for testing." G2 was slicing by function. Then came the agentic wave. AI SOC Agents, AI Agents for HR, AI Interview Agents — six categories following the same pattern: "AI [job function] Agents." G2 is organizing AI software by the job it performs. They confirmed this direction by launching "Best Agentic AI Products" as a new award in their 2026 Best Software Awards. That pace didn't slow into 2026. In the three months from February through April 2026 alone, G2 introduced more than a dozen additional AI categories — and March 2026 was almost entirely AI: Conversational Interface Agents, AI Gateways, AI Search Visibility Optimization Tools, AI Search & Retrieval Infrastructure, AI Software Development Kits, AI Search and Discovery Platforms, plus vertical entries like AI Patient Engagement & Operations and AI Virtual Staging. April 2026 added AI Presentation Tools, AI Assistants for Financial Services, and Ambient AI Scribe Platforms. May 2026 held the pace: six of G2's nine new categories that month were AI — AI Marketing Agents, AI Sales Roleplay, AI Accessibility Tools, AI Agent Observability, AI Proposal Generator, and AI SRE Tools ([announced June 2, 2026](https://company.g2.com/news/new-categories-introduced-in-may-2026)). The taxonomy keeps splitting AI software finer — by infrastructure layer, by function, and by industry. The newest categories — the May 2026 batch, along with earlier 2026 additions like AI-SPM, AI Documentation Generators, and AI Medical Diagnostic Platforms — are mostly empty. Some have products listed with zero reviews. And the review count you see on a category page is a poor guide to whether the field is actually contested: a category can display tens of thousands of reviews and still have no Grid, because those are product-level totals carried over from other categories rather than reviews attributed to the new category specifically. Revenue AI, for instance, launched in January 2026 already showing ~48,000 displayed reviews, all of it carried in by established products like Salesforce, Gong, and Clari. The next section explains how to read past that number. For a list of AI categories created during this period with creation dates, see the appendix. **A note on G2's taxonomy:** Not all AI categories live under the "Artificial Intelligence Software" parent. G2 organizes many AI categories under their functional parent — Revenue AI sits under Sales Tools, AI Recruiting under Recruiting Software, AI SOC Agents under System Security, and so on. This means you won't find every AI category by browsing a single parent page. The appendix at the end of this guide consolidates categories from across G2's taxonomy. ## The Emerging AI Software Category Deserves Special Attention One category in this list works differently from the rest: Emerging AI Software. G2's research team explicitly described it as an incubator. In their [March/April 2025 category announcement](https://company.g2.com/news/new-categories-introduced-in-march-and-april-2025), G2 principal research analyst Matthew Miller put it this way: the team created this category to track AI innovations, and as clusters form inside it, they investigate whether a new standalone category has emerged. This means Emerging AI Software is both a landing zone and a launchpad. Products that don't fit neatly into existing AI categories get placed here. When enough similar products accumulate, G2 spins out a new category — and the products in that cluster become the founding members. At the time of writing, Emerging AI Software has more than 15,000 displayed reviews across roughly 6,000 listed products. The bar for inclusion is broad: a product must be AI-first, with ML or deep learning at its core, and offer functionality that goes beyond existing AI categories. If your product is novel — if buyers keep telling you "I don't know what category you're in" — this might be exactly where you belong. And being in the incubator when your cluster gets spun out means you're in the new category from day one, with a head start on reviews. If you want to accelerate that process, our [guide to creating a new software category](/guides/how-to-create-a-new-software-category/) walks through G2's submission process and what to expect on other platforms. ## How to Tell Whether a Category Has a Grid (and Why It Matters) **Grid status is the real signal of whether a category is contested.** When buyers research software on G2, the Grid report is what they see first. It's a quadrant chart — [updated quarterly](/blog/g2-summer-2026-reports/) — that ranks products as Leaders, High Performers, Contenders, or Niche players based on customer satisfaction scores and market presence. If a category has a Grid, buyers are actively comparing products in it. If it doesn't, buyers browsing that category see a product list with ratings but no competitive ranking — no Leaders badge, no quadrant placement, no "best in category" positioning. *Example of a G2 Grid report. Source: [G2 Research Scoring Methodologies](https://documentation.g2.com/docs/research-scoring-methodologies)* For vendors, Grid placement is the prize. A "Leader" or "High Performer" badge on G2 is a trust signal that shows up in search results, on product pages, and in sales collateral. Without a Grid, there are no badges to earn. Not every category gets a Grid. According to [G2's published methodology](https://documentation.g2.com/docs/research-scoring-methodologies), a Grid report is only generated when at least six products have each collected 10 or more reviews *attributed* to that specific category, and the category has at least 150 total attributed reviews. The key word is "attributed" — this is not the same as the review count displayed on the category page (see "A note on category review counts" below for why these numbers differ). That gap is why the displayed review count can't tell you whether a category is contested. A category can show tens of thousands of reviews and still have no Grid, because those are product-level totals carried in from other categories — while the Grid depends on attributed reviews, a separate layer you can't see from the outside. **How to check a category's Grid status — in about 30 seconds.** Open the category page on g2.com and scroll past the product list. If a "G2 Grid® for [Category]" quadrant chart appears (it loads near the bottom of the page), the category is live — products hold ranked positions, and you'll need attributed reviews to break in. If the page runs straight from the product list into "Spotlight Categories" with no quadrant, there's no Grid yet — and that absence is the opening. **Why newer categories are the opportunity.** A category with no Grid has no Leaders to displace, no incumbents holding the badge, no quadrant you have to climb. The products that collect attributed reviews *before* the Grid launches are the ones that show up as the first Leaders and High Performers when it does. As a rule of thumb, the more recently a category was created, the more open the field — which is why the [appendix](#appendix-ai-categories-created-march-2025-may-2026) below lists every AI category by creation date, newest first. A focused [review collection](/glossary/review-campaign/) effort — see our [guide to collecting G2 and Capterra reviews](/guides/how-to-get-g2-capterra-reviews/) — can get you onto a new category's Grid within a quarter or two of it launching. **Not sure where your category stands?** Grid status shifts every quarter, and checking it across dozens of categories by hand gets tedious fast. [Blastra](/about/) tracks this for you — tell us your product and we'll map which AI categories you qualify for and which still have an open Grid window. [Get in touch.](/contact/) ## You Might Already Be in an AI Category Before you request a new category placement, it's worth checking what G2 has already done on your behalf. Products get added to categories through three paths: **When you first submit your product to G2,** the research team evaluates your features and places you in all categories that fit. This happens during the initial 3–5 business day verification period. **When G2 creates a new category,** the research team populates it with existing products that meet the inclusion criteria. G2's categorization methodology page confirms that products are added to categories "when submitted on G2, when a new category is created, and when a category cleaning occurs." This means your product could have been placed in an AI category without you requesting it — or even knowing about it. **During category cleaning,** G2 analysts periodically audit the products in a category, updating definitions, inclusion criteria, and product placements. Here's what we don't know: whether G2 notifies vendors when their product is added to a new category through this automatic process. G2's notification system supports alerts for Grid quadrant movements and new reviews, but there's no documented notification specifically for new category placements. Their category name change FAQ explicitly states they don't send communications for category updates. **How to check:** Go to my.G2, navigate to Product Profile → Product Information → Product Categories. You'll see every category your product is currently listed in. ## How to Request an AI Category (Step by Step) If your product isn't in the AI category where it belongs, here's the process: **Step 1: Find the right category.** Browse G2's category pages and look at the inclusion criteria. Every category has a "What is [category name]?" section — click "Show More" to see the specific feature requirements. Your product [needs to meet these requirements](/blog/who-decides-what-your-software-is/) — general relevance alone won't qualify. **Step 2: Request the addition.** Go to my.G2 → Product Profile → Product Information → Product Categories → select "Request Updates." This opens a support case with G2. **Step 3: Provide evidence.** G2 encourages submitting specific evidence that your product meets the feature requirements: recorded demos, blog content, presentations, or documentation showing how your product delivers the required functionality. The more concrete you are, the faster the evaluation goes. **Step 4: Wait for evaluation.** A market research analyst reviews your request against the category's inclusion criteria. If approved, changes reflect on the site within 1–2 business days. A few things to know about this process: G2 categorizes products by functionality and features. They'll place your product in all categories it qualifies for. There's no limit to how many categories your product can be in, and this applies equally to free and paid profiles. Category placement itself is free. One more detail that matters: G2's documentation doesn't describe a process for voluntarily removing your product from a category once you're in. As long as your product continues to meet the feature requirements, the listing stays. Getting into an AI category is a durable visibility gain. ## From Grid Placement to Grid Impact Being in a category is step one. Here's what determines whether it helps you: ### How Review Attribution Works (And Why You Should Audit It) Reviews on G2 get attributed to categories through three mechanisms, in order of reliability: **Reviewer selection:** When users write reviews, they select which categories their review applies to. If you're in AI SDRs but your reviewers only select "Sales Engagement Software," those reviews won't count toward your AI SDRs Grid placement. You may need to guide reviewers to select the AI category when leaving feedback. **NLP auto-attribution:** G2 uses natural language processing to analyze review text and attribute reviews to relevant categories on an as-needed basis. The timing of this process is unpredictable. **Manual audit:** G2 occasionally performs manual reviews to ensure attribution accuracy. This happens on G2's timeline, not yours. The takeaway: don't assume reviews are landing in the right category. Check your review attribution in my.G2 periodically, especially after being added to a new AI category. Existing reviews don't automatically re-attribute — new reviews going forward will give reviewers the option to select the new category. ### A note on category review counts The review count shown on a category page and the reviews that count toward Grid eligibility appear to be two different things. From what we can see, the category page total reflects the combined reviews of all listed products — regardless of which category the reviewer originally selected. Products like Salesforce Sales Cloud and Gong appear on the Revenue AI page carrying the same review counts they show in CRM or Conversation Intelligence. Revenue AI launched in January 2026 showing ~48,000 reviews, because it includes established products that already had large review volumes built up elsewhere. Grid reports tell a different story. According to [G2's published methodology](https://documentation.g2.com/docs/research-scoring-methodologies), a product needs at least 10 reviews *attributed* to a specific category to be Grid-eligible — and the category itself needs at least six such products and 150 attributed reviews. Because attributed reviews are a separate, invisible layer, the displayed count doesn't predict whether a Grid exists: a category showing tens of thousands of reviews may have none, while a far smaller one already has its quadrant. The only reliable check is to look at the category page itself for the Grid. **The practical takeaway:** Don't use the displayed review count to judge whether a category is competitive. Check whether a Grid report exists. The Grid is G2's quarterly quadrant chart that ranks products as Leaders, High Performers, Contenders, and Niche players — it's the basis for the badges that appear on product profiles and in search results. If a Grid exists, buyers are actively using it to compare products, and competitors already hold ranked positions. If no Grid exists, there are no rankings yet, no badges to compete against, and no quadrant placements — that's the first-mover window. ### Grid Eligibility and Badge Rules **10 reviews in a category unlocks Grid eligibility.** G2 publishes [Grid reports](/guides/how-to-get-ranked-on-g2/) quarterly for categories that meet their data requirements. The minimum threshold for a product is 10 reviews in that specific category. (The category itself also needs at least six products with 10+ reviews and 150+ reviews overall.) In a brand-new AI category, being among the first products to hit 10 reviews puts you on the Grid early. **Grid placement is free. Badge usage requires a paid plan.** As of the Summer 2025 report release (June 2025), displaying badges (Leader, High Performer, etc.) in your marketing materials requires a G2 Brand Starter plan or higher, starting from $2,999/year for small businesses in Year 1 (increasing in Year 2). Grid placement itself — appearing on the Grid, being ranked — costs nothing. For a deeper dive into how badges work, see our [complete guide to earning G2 badges](/guides/how-to-earn-g2-badges/). **Quarterly deadlines matter.** G2 publishes its report schedule on their [research agenda](https://research.g2.com/methodology/research-agenda) — check there for exact deadlines. The next window is Fall 2026: the review deadline is July 28, 2026, with the report released August 25, 2026. If you're trying to appear in a Grid report for a new AI category, work backward from that review deadline — reviews collected after it count toward the following quarter. ## A Category Win in Under a Year: Profound Here's what getting AI category strategy right looks like in practice. Profound is an Answer Engine Optimization platform — it helps brands monitor and manage how AI systems represent them. When G2 created the GEO Tools category in March 2025 (later renamed to AEO Tools), Profound was one of the products placed there. By February 2026, Profound was named a Top 50 AI Product in G2's 2026 Best Software Products, ranking #34 across all B2B software. That's under a year from category creation to Best Software recognition. At the time of their February 2026 Series C announcement ($96 million round at a $1 billion valuation, bringing total funding to more than $155 million), Profound reported serving more than 700 enterprises. Their CEO, James Cadwallader, used the G2 recognition as a signal that AEO had become a core marketing discipline — the G2 category placement became part of their market-creation narrative. Profound reached Grid eligibility quickly in the new category and used the G2 recognition to reinforce their market positioning. The category was new, they moved fast, and they turned a G2 listing into a [visibility](/glossary/visibility-posture/) engine. ## Why This Matters for AI Search Visibility G2 categories are structured, labeled data — exactly the kind of signal AI systems rely on when assembling answers about software comparisons. A product that exists in the right G2 AI category with reviews has a fundamentally different discoverability profile from one that doesn't. AI search visibility depends on your product being present across the [third-party sources AI systems trust](/blog/ai-search-consensus-pattern-saas-recommendations/), and G2 is one of the highest-authority sources in B2B software. G2 knows this. Their post-acquisition hiring shows explicit investment in becoming the primary citation source for LLMs and AI agents — with [new engineering and product leadership](/blog/alexis-zheng-g2-cpto/) focused on AI-powered software discovery and a [growing team](/blog/g2-capterra-acquisition-what-theyre-actually-building/) dedicated to how G2 content surfaces in generative search. Getting into the right AI category now positions your product for how G2 plans to serve buyers going forward. **One more thing to watch:** In January 2026, G2 [acquired Capterra, GetApp, and Software Advice](/blog/g2-acquires-capterra-gartner-digital-markets/) from Gartner — consolidating four of the largest software review platforms under one company. The [deal closed](/blog/g2-capterra-acquisition-closed/) in early February 2026. Both the [Spring 2026](/blog/g2-spring-2026-reports/) and [Summer 2026](/blog/g2-summer-2026-reports/) report cycles have since run on G2's existing taxonomy — neither announcement mentioned the acquisition, and no changes to G2's category structure have been announced as a result of it. But the combined platform will eventually unify its taxonomy across all four properties. If you're planning your category strategy, this is worth monitoring — what you do on G2 today may carry across a much larger footprint in the future. ## What We Don't Know G2's documentation is thorough on some points and silent on others. A few things we couldn't verify: **How quickly auto-placement happens for new categories.** When G2 creates a new category, we know they populate it with existing products — but we don't know the timeline. It could be simultaneous with the category launch, or it could take weeks. **Whether vendors are notified about auto-placement.** We found no documentation confirming that G2 sends a notification when your product is added to a new category through their research team's initiative. The safest assumption is that they don't. **The exact rejection rate for category placement requests.** G2 doesn't publish data on how often placement requests are denied. Anecdotally, if your product clearly meets the feature requirements, approval is straightforward. ## Key Takeaways 1. G2 created more than 45 AI-specific categories between March 2025 and May 2026 — and was still adding several a month into mid-2026 (six of nine in May 2026 alone). If your product has AI capabilities, there's likely a category for it. 2. Check my.G2 right now — you might already be in an AI category without knowing it. 3. Category placement is free and has no limit. The paid tier gates badge usage, not categorization. 4. The review count on a category page doesn't tell you whether it's contested — a category can show tens of thousands of reviews and still have no Grid. Scroll the category page to see whether a Grid quadrant exists; the newest categories are likeliest to have none yet, which is the first-mover window. Per [G2's methodology](https://documentation.g2.com/docs/research-scoring-methodologies), 10 attributed reviews can make a product Grid-eligible. 5. Emerging AI Software is G2's incubator. If your product doesn't fit anywhere else, this is both a landing zone and a launchpad for when your category eventually gets created. ## Appendix: AI Categories Created (March 2025 – May 2026) *This appendix lists the AI-specific categories G2 created between March 2025 and May 2026, sorted by creation date — newest first. As a rule of thumb, the more recently a category was created, the more likely it is to be without a Grid yet — the open first-mover window. To check any one for certain, use the [30-second method above](#how-to-tell-whether-a-category-has-a-grid-and-why-it-matters). G2's full AI category taxonomy — including older categories like AI Writing Assistants, Chatbots, and Machine Learning — is at [g2.com/categories/artificial-intelligence](https://www.g2.com/categories/artificial-intelligence).* | Category | G2 Parent | Created | |----------|-----------|---------| | AI Marketing Agents | Marketing Software | May 2026 | | AI Sales Roleplay | Sales Tools | May 2026 | | AI Accessibility Tools | AI Software | May 2026 | | AI Agent Observability | AI Software | May 2026 | | AI Proposal Generator | Sales Tools | May 2026 | | AI SRE Tools | Development Software | May 2026 | | Ambient AI Scribe Platforms | Health Care Software | April 2026 | | AI Presentation Tools | Generative AI Software | April 2026 | | AI Assistants for Financial Services | AI Software | April 2026 | | Conversational Interface Agents | Agentic AI Software | March 2026 | | AI Gateways | AI Software | March 2026 | | AI Search Visibility Optimization Tools | AI Software | March 2026 | | AI Search & Retrieval Infrastructure | AI Software | March 2026 | | AI Search and Discovery Platforms | AI Software | March 2026 | | AI Software Development Kits (SDK) | Development Software | March 2026 | | AI Patient Engagement & Operations | Health Care Software | March 2026 | | AI Virtual Staging | Real Estate Software | March 2026 | | Agentic Analytics Platforms | Agentic AI Software | February 2026 | | AI Grading Tools | Education Software | February 2026 | | Revenue AI | Sales Tools | January 2026 | | AI Interview Agents | Recruiting Software | January 2026 | | AI Medical Diagnostic Platforms | Health Care Software | January 2026 | | AI Security Solutions | AI Software | December 2025 | | AI-SPM | AI Software | November 2025 | | AI Documentation Generators | Development Software | November 2025 | | AI AppSec Assistants | Generative AI Software | October 2025 | | Low-Code ML Platforms | AI Software | October 2025 | | AI Agents for HR | AI Agents (Agentic AI) | September 2025 | | AI Recruiting | Recruiting Software | September 2025 | | AI SOC Agents | System Security Software | August 2025 | | Contact Center AI Observability | Call & Contact Center Software | August 2025 | | Autonomous Endpoint Management (AEM) | Endpoint Protection Software | July 2025 | | AI Software Testing Tools | Generative AI Software | July 2025 | | AI App Builders | Generative AI Software | June 2025 | | Conversational AI Survey Platforms | AI Software | June 2025 | | AI Coding Assistants | Generative AI Software | May 2025 | | AI Avatar Generators | AI Software | May 2025 | | AI Orchestration | AI Software | April 2025 | | GEO Tools / AEO Tools | AI Software | March 2025 | | AI SDRs | AI Agents (Agentic AI) | March 2025 | | AI Customer Support Agents | AI Agents (Agentic AI) | March 2025 | | AI IT Agents | AI Agents (Agentic AI) | March 2025 | | Emerging AI Software (incubator) | AI Software | March 2025 | | AI Agent Builders | Agentic AI Software | 2025 | | AI Governance Tools | AI Software | 2025 | | AI Storyboard Generators | AI Software | 2025 | | Prompt Management Tools | AI Software | 2025 | | NHIM Solutions | AI Software | 2025 | *Creation dates are drawn from G2's monthly category announcements. Parent categories for the February–May 2026 additions are inferred from G2's taxonomy, since the monthly announcements don't always state them; entries marked "2025" appeared during the year without a precise month in the announcements. G2 adds new categories monthly and occasionally revises slugs and parents — verify against [g2.com/categories/artificial-intelligence](https://www.g2.com/categories/artificial-intelligence) for current status.* **About this guide:** [Blastra](/about/) helps B2B software companies manage their presence across [directories](/glossary/software-directory/) like G2, Capterra, and 30+ other platforms. Our [Visibility Posture](/glossary/visibility-posture/) assessment can tell you which G2 AI categories your product qualifies for and whether you're already listed. ## Source Documentation ### Primary Sources (Dated) | Source | Date | Notes | |--------|------|-------| | [G2 Categorization Methodology](https://research.g2.com/methodology/categorization) | Ongoing | Official methodology, explains category creation and product placement | | [G2 Research FAQ](https://research.g2.com/methodology/research-faq) | Ongoing | Confirms multi-category placement, explains review attribution | | [G2 Scoring Methodologies](https://documentation.g2.com/docs/research-scoring-methodologies) | Updated Dec 2025 | Grid eligibility thresholds, scoring mechanics | | [G2 Product Information Documentation](https://documentation.g2.com/docs/product-information) | Ongoing | How to manage categories in my.G2 | | [New Categories: March & April 2025](https://company.g2.com/news/new-categories-introduced-in-march-and-april-2025) | May 2025 | First wave of AI categories with analyst quotes | | [New Categories: Nov & Dec 2025](https://company.g2.com/news/new-categories-introduced-to-g2-in-november-and-december-2025) | Jan 2026 | AI-SPM, AI AppSec, AI Documentation Generators | | [New Categories: January 2026](https://company.g2.com/news/new-categories-introduced-in-january-2026) | Feb 2026 | Revenue AI, AI Interview Agents, AI Medical Diagnostics | | [New Categories: February 2026](https://company.g2.com/news/new-categories-introduced-to-g2-in-february-2026) | Mar 2026 | Agentic Analytics Platforms, AI Grading Tools | | [New Categories: March 2026](https://company.g2.com/news/new-categories-introduced-to-g2-in-march-2026) | Apr 2026 | AI Gateways, AI Search Visibility Optimization Tools, AI SDKs, and more | | [New Categories: April 2026](https://company.g2.com/news/new-categories-introduced-in-april-2026) | May 2026 | AI Presentation Tools, AI Assistants for Financial Services, Ambient AI Scribe Platforms | | [New Categories: May 2026](https://company.g2.com/news/new-categories-introduced-in-may-2026) | Jun 2026 | AI Marketing Agents, AI Sales Roleplay, AI Accessibility Tools, AI Agent Observability, AI Proposal Generator, AI SRE Tools | | [G2 2026 Best Software Awards](https://company.g2.com/news/g2s-2026-best-software-awards) | Feb 2026 | Confirms Best Agentic AI Products list, <0.6% selection rate | | [G2 2025 Year in Review](https://company.g2.com/news/g2s-2025-year-in-review) | Jan 2026 | 200,000+ products, AEO category grew from 7 to 230+ products | | [Profound Series C Announcement](https://www.globenewswire.com/news-release/2026/02/24/3243475/0/en/Profound-Raises-Series-C-at-1B-Valuation-to-Lead-a-New-Category-of-Marketing.html) | Feb 2026 | $1B valuation, $155M+ total funding, 700+ enterprises, G2 #34 AI product | | [G2 Notifications Documentation](https://documentation.g2.com/docs/notifications) | Ongoing | Confirms what notifications exist (and what doesn't) | | [G2 Content Usage Guidelines](https://sell.g2.com/content-usage-guidelines) | Updated Jun 2025 | Badge republication rules, paid plan requirements | | [G2 Plans](https://sell.g2.com/plans) | Ongoing | Brand Starter pricing, Year 1/Year 2 details | | [G2 Spring 2025 Reports](https://company.g2.com/news/g2-spring-2025-reports) | Mar 2025 | 190,029 total products, 1,270 categories in reports | | [G2 Spring 2026 Reports](https://company.g2.com/news/g2-spring-2026-reports) | Mar 2026 | 27,019 reports, 1,351 categories, Leader badge down to 3%, AI categories among fastest-growing | | [G2 Summer 2026 Reports](https://company.g2.com/news/g2-summer-2026-reports) | May 2026 | 27,340 reports, 1,363 report-ready categories, Leader badge down to 2%, AEO +14, AI Sales Assistant +11 | | [G2 Research Agenda](https://research.g2.com/methodology/research-agenda) | Ongoing | Fall 2026 review deadline (July 28) and report release (Aug 25) | ### Additional Monthly Category Announcements G2 publishes new category announcements monthly. All announcements from May 2025 through May 2026 were reviewed for this guide. They're available at company.g2.com/news. --- ## FAQ ### How does G2 create new categories? G2 creates categories in response to market signals: user search behavior, vendor taxonomy requests, analyst coverage, and emerging product patterns. Between March 2025 and May 2026 G2 added more than 45 AI-specific categories — roughly one in three of all new categories during that window, and the pace held into mid-2026 (more than a dozen new AI categories from February through May 2026, including six of nine in May alone). Categories can also spin out of the Emerging AI Software incubator when enough similar products cluster inside it. G2 publishes new category announcements monthly at company.g2.com/news. ### What is G2's research methodology for categories? G2's research team places products into categories based on whether they meet published inclusion criteria — the specific feature requirements listed on each category page (click "Show More" under "What is [category name]?" to see them). Products get placed at three moments: on initial profile submission, when G2 creates a new category and populates it with matching existing products, and during periodic "category cleaning" audits. General relevance alone doesn't qualify — the product must meet the feature requirements. ### How does G2 set its research priorities for new categories? G2's public signal on prioritization is monthly category announcements plus their annual year-in-review posts. They've been clear about leaning into AI: nearly one-third of new categories in 2025 were AI-specific, and G2 explicitly launched "Best Agentic AI Products" as a new award category in the 2026 Best Software Awards. The Emerging AI Software category serves as an incubator that G2's research team uses to identify clusters that deserve their own category. ### How many AI categories has G2 created? More than 45 AI-specific categories between March 2025 and May 2026 — roughly one in three of all new categories G2 added during that window. The appendix lists them all by creation date, newest first. Whether any specific category has a Grid yet (and is therefore competitive) shifts every quarter — the newer the category, the likelier it is to still have an open first-mover window — so check the live category page for the current state. ### How do I get my product listed in a G2 AI category? Four steps: (1) Find the right category — check G2's inclusion criteria on each category page. (2) Go to my.G2 → Product Profile → Product Information → Product Categories → "Request Updates." (3) Provide evidence that your product meets the feature requirements (recorded demos, documentation, blog content). (4) Wait 1-2 business days for evaluation. Placement itself is free and there's no limit to how many categories your product can be in — G2 will place you in every category you qualify for. ### What's the difference between a G2 category with a Grid and one without? A category with an active Grid report has the quarterly quadrant chart that ranks products as Leaders, High Performers, Contenders, and Niche players — buyers use it to compare products, and competitors already hold ranked positions. A category without one yet has no ranking, no badges, no quadrant placement, and no established competitors holding Leader positions — that's the first-mover window. To tell which you're looking at, open the category page on g2.com and scroll past the product list: if a "G2 Grid® for [Category]" quadrant appears, it's live; if the page runs straight into "Spotlight Categories," there's no Grid yet. Grids refresh quarterly, so check before you commit — and as a rule, the more recently a category was created, the likelier it is to still be open. ### Can my product be in multiple G2 AI categories? Yes. There's no limit. G2 will place your product in every category whose feature requirements you meet — this applies equally to free and paid profiles. Category placement is free. What's paid is badge display: you can appear on Grids for free, but using Grid-based badge graphics in your marketing requires a paid G2 plan starting at $2,999/year. ### How do I check which G2 categories my product is already in? Go to my.G2 → Product Profile → Product Information → Product Categories. You'll see every category your product is currently listed in. This matters because G2 adds products to new categories automatically when creating them — you may already be in an AI category without knowing it, and G2's notification system doesn't specifically alert vendors about new category placements. --- ## Related Guides - [How to Get Ranked on G2](/guides/how-to-get-ranked-on-g2/) — Satisfaction and Market Presence mechanics behind Grid placement - [G2 Badges Guide](/guides/how-to-earn-g2-badges/) — Earning badges once a category has a Grid - [Software Directories That Actually Reach Latin America](/blog/software-directories-latin-america/) — Regional coverage when G2 categorization isn't reaching your LATAM buyers - [How G2 Is Building G2.ai Into an Expertise Marketplace](/blog/what-is-g2-ai/) — G2's AI ambitions go past categories: a firsthand tour of the G2.ai platform --- --- # SaaS Review Strategy: How to Stand Out Where Others Stay Silent URL: https://blastra.io/guides/how-to-handle-software-reviews/ Description: Almost no SaaS company responds to reviews on G2 or Capterra. Platform-by-platform guide to standing out through responses, disputes, and frameworks you can use today. ## TL;DR Almost no SaaS company responds to its reviews on G2, Capterra, or anywhere else. That creates an opening. We went through every major platform to map what's possible: G2, Capterra, SourceForge, and TrustRadius support vendor responses (G2 and TrustRadius charge for it; Capterra and SourceForge are free), and two platforms have no response mechanism at all. We also mapped how disputes work when a review is unfair, and what the responses that actually land have in common. The through-line: the best responses are written for everyone reading after the reviewer, and right now, almost nobody is writing them. This guide is about handling reviews after they exist. For the rules on collecting them in the first place (G2, Capterra, GPI, TrustRadius caps + the FTC's Fake Reviews Rule), see [safe B2B SaaS review collection](/guides/b2b-saas-review-collection-rules). Before we get into strategy — we built a little game inspired by how software review grids work. Try dodging the bad reviews: ## The Silent Majority Problem (And Why It's Your Advantage) Go to any B2B software product on G2 or Capterra. Scroll through the reviews. Count how many have a vendor response underneath. On most product pages, the answer is zero. Or close to it. In B2B SaaS, reviews are treated as a one-way broadcast. Customers write them, vendors collect them for [badges](/glossary/badge/) and marketing pages, and almost nobody writes back. In restaurants and hotels, responding is standard practice. In software, the silence is the norm - and it's visible. We checked the sorting capabilities on each platform, and what we found matters: G2 lets buyers sort reviews by star rating - lowest first. [TrustRadius](/directories/trustradius/) sorts by score. Capterra also allows to see the lowest review right away if needed. A savvy buyer sorts reviews from worst to best, and the first thing they see is whether you showed up for the conversation or didn't. An unanswered 1-star review at the top of a sorted list is a statement about how much you pay attention. A Yelp/Kelton study found that consumers are significantly more likely to look past a negative review when the business has responded. Harvard Business Review research found that responding to reviews correlates with improved ratings over time. Those studies are from the consumer space - B2B-specific data is thinner - but the underlying logic transfers: when you respond, you change the story the page tells. ### The Audience That's Starting to Matter AI systems already pull from G2, Capterra, and [SourceForge](/directories/sourceforge/) when evaluating software for recommendations. Today, that mostly means aggregating ratings and pulling review snippets. But these systems are getting smarter - and [the direction they're heading](/blog/ai-search-consensus-pattern-saas-recommendations/) matters for how you think about your review pages. The trajectory is toward AI that can distinguish authentic signal from noise. Systems that can tell the difference between a genuine product experience and a gift-card-motivated 5-star review. Between a company that engages with criticism and one that ignores it. Between marketing language and an honest response to a real problem. When AI gets good at detecting manipulation and authenticity - and it will - where will it look for signal? Review pages. Third-party platforms where real users describe real experiences, where the vendor's response (or silence) is visible, and where patterns of engagement tell a story that marketing sites can't fake. A negative review saying "onboarding took three months and support was unresponsive" paired with a vendor response saying "since this review, we've reduced average onboarding to two weeks and added a dedicated onboarding specialist for every account" - that's corrective context. An unanswered negative review is the only narrative available. Your review responses are mini product updates hosted on high-authority third-party domains. Every thoughtful response is indexable content about your product, written in the context of a real user's experience, on a domain that carries more weight than your own marketing site. The companies building this record now are preparing for an AI landscape that will reward authenticity over volume. We'll come back to this in the section on outdated reviews, because that's where this pays off most. ## Who Actually Lets You Respond (And What It Costs) We went through every [review platform](/glossary/review-platform/) to map what's possible. The picture is more limited than it looks: G2, Capterra, SourceForge, and TrustRadius support vendor responses. G2 and TrustRadius charge for it. And two of the seven major platforms have no response mechanism at all. | Platform | Respond to Reviews? | Cost to Respond | Dispute/Flag Reviews? | Buyer Can Sort by Rating? | |----------|---------------------|-----------------|----------------------|--------------------------| | **Capterra** | Yes - responses displayed publicly inline | **Free** | Contact compliance team | Yes - "Highest Rated" sort option | | **G2** | Yes - responses displayed publicly | **Paid plan required** (~$2,999+/year for small businesses) | "Submit Your Concern" on each review | Yes - by star rating, lowest/highest | | **[Trustpilot](/directories/trust-pilot/)** | Yes | **Free** (business account) | Formal flag/dispute process | Yes - by star rating | | **TrustRadius** | Yes (paid) - via Reviews > Manage Reviews > Process Review | **Paid subscription required** | Contact research team | Yes - by trScore | | **[PeerSpot](/directories/peerspot/)** | No response mechanism found | N/A | Community policing + platform moderation | Sorting by rating, reviews, views | | **[Gartner Peer Insights](/guides/how-gartner-peer-insights-actually-works/)** | Confirmed: no vendor response option | N/A | Vendor portal support available | Likely filterable (standard Gartner UI) | | **SourceForge** | Yes - via vendor admin dashboard | **Free** | No published dispute process found | Unclear | A few things we found worth flagging: **Capterra is the most visible platform for responses.** Responses display publicly inline under reviews, and it's free for any vendor regardless of PPC spend. If you're going to start responding somewhere, start here. Understanding [how Capterra badges work](/guides/how-to-earn-capterra-badges/) helps contextualize why building review engagement matters on this platform. **G2 charges for what Capterra gives away.** Responding to your own reviews - the most basic form of engagement with your customers' public feedback - requires a [paid G2 subscription](/blog/g2-capterra-vendor-pricing-compared/). G2 actively encourages vendor responses, but almost nobody does it. For early-stage companies watching their budget, this is a real factor in platform prioritization. If you're investing in G2, understanding [how G2 badges work](/guides/how-to-earn-g2-badges/) helps you get value from that spend. **TrustRadius requires a paid subscription to respond.** Only subscribed customers can reply publicly to reviews, via Reviews > Manage Reviews > Process Review in the vendor dashboard. Importantly, having "Profile Claimed" or "Trusted Seller" verification on a profile doesn't mean the vendor is a paying customer. Those badges indicate the vendor is putting work into their TrustRadius presence, but don't unlock response capabilities. See our [TrustRadius badges guide](/guides/how-to-earn-trustradius-badges/) for more on building presence there. **Two platforms have no response mechanism.** Gartner Peer Insights and PeerSpot confirmed: there's no way to respond to individual reviews. We verified GPI by checking Pipedrive's profile - a company that responds everywhere they can - and found no responses even on their 3-star reviews. If you have direct experience that contradicts any of this, reach out and we'll update this guide. **SourceForge offers free responses.** The vendor admin dashboard includes a response option - free with any claimed profile. We haven't seen many vendors using it, which makes it an opportunity: if you're listed on SourceForge, you can respond to reviews without paying for premium features. See our [SourceForge badges guide](/guides/how-to-earn-sourceforge-badges/) for more on the platform. **Trustpilot is the one that can surprise you.** B2B SaaS companies skip Trustpilot because it's associated with consumer businesses - restaurants, e-commerce, travel. But Trustpilot is an open platform where anyone can create a business page and leave a review. Unlike the B2B-focused platforms where vendors create their own profiles, Trustpilot pages can exist and accumulate reviews without the vendor ever knowing. Worth checking whether yours exists. If it does, claim it and set up a free business account so you can respond. Our [guide to how Trustpilot recognition works](/guides/how-trustpilot-recognition-works/) covers what B2B SaaS companies should know about this platform. **These capabilities change.** Platforms update their vendor tools regularly. We'll maintain this table as features evolve. ## When a Review Feels Unfair: The Dispute Playbook So you got a 1-star review and something about it seems wrong. Maybe the reviewer is describing a product that isn't yours. Maybe it reads like a competitor planted it. Maybe they're citing a problem that was fixed eighteen months ago. We went through the dispute processes on every platform and mapped what's possible. But the first honest question is: **is this review actually unfair, or is it just uncomfortable?** ### What We Found Qualifies for a Dispute The platforms we checked generally agree on what's removable: - **Competitor or employee review** - someone with a conflict of interest posing as a customer - **Wrong product** - the reviewer is clearly describing a different tool and mistakenly posted on your page - **Factually false claims** - specific statements that are demonstrably incorrect (not opinions, not subjective experiences) - **Content policy violations** - hate speech, personal attacks, confidential information, promotional content for another product - **Fake/fabricated** - the reviewer never actually used your product (platforms with [review verification](/glossary/review-verification/) catch more of these upfront) And they agree on what isn't: - A low rating from someone who genuinely used your product and didn't like it - "The UI is confusing" or "support was slow" - these are opinions, even if they sting - Reviews that are outdated (the fix is responding, not removing) - A review that hurts your average score Platforms take dispute abuse seriously. Your credibility with the moderation team matters if you ever need to dispute something real. ### How Disputes Work, Platform by Platform We mapped each platform's process: **G2:** Every review has a "Submit Your Concern" option that opens a support ticket with the review moderation team. Tickets are handled within 2 business days, and the reviewer isn't alerted unless G2 takes action. You can flag reviews for bias (employee, competitor, or business partner), misplacement (review belongs on a different product page), or quality issues that violate G2's Community Guidelines. This appears to be available on free listings. (The paid dashboard also offers "vendor challenges" - we haven't been able to confirm whether that's a separate process or the same one.) **Capterra:** Contact the compliance team directly. They enforce strict content policy rules and will review flagged content. **TrustRadius:** Contact the research team. They will remove employee reviews, competitor reviews, and fake profiles. Their stated policy on authentic reviews: they won't take them down, period. **Trustpilot:** The most formalized dispute process of the group - a structured flag system with defined violation categories. Given how easy it is for anyone to post a review, the dispute process here matters more than on platforms with built-in authentication. Reviews that don't violate policy stay up. **Gartner Peer Insights:** Contact support through the vendor portal. The specific dispute criteria aren't publicly documented. Since there's no response mechanism, disputing is the only option for problematic reviews. **PeerSpot:** Triple-authentication at intake (including LinkedIn profile verification) reduces fakes at the front door. Community policing handles the rest - members can flag suspicious content, and the platform moderates. Learn more in our [PeerSpot badges guide](/guides/how-to-earn-peerspot-badges/). **SourceForge:** We found no published dispute process. Your best bet may be contacting their general support, but set expectations accordingly. See our [SourceForge badges guide](/guides/how-to-earn-sourceforge-badges/) for more on building presence there. ### While It's Being Reviewed (Or If It Stays) A disputed review is still visible while the platform investigates - buyers are still reading it, and on most platforms the investigation takes time, sometimes weeks. If the platform allows responses, respond to it anyway. Write your response as if the review will stay forever, because it might. The moderation team may decide it doesn't violate policy. Or they may take weeks to act. Either way, every day that review sits unanswered, it's telling buyers a story you didn't author. A response to a disputed review needs to be especially measured. Acknowledge the concern, state your perspective calmly, invite an offline conversation. The response itself is evidence of your professionalism - and if the review does get removed, your measured response will already have done its job for everyone who saw it in the meantime. ## How to Respond to Negative Reviews When we looked at the vendors doing this well, one pattern stood out: **they're writing for everyone reading after the reviewer.** The person who left a 2-star review has already formed their opinion. You might bring them back - and it's worth trying - but the real value of your response is what it tells the next fifty buyers and AI agents who land on that page. ### The Spine That Works Every good negative review response we found follows the same structure: **Acknowledge → Own what you can → Provide context (not excuses) → Offer a next step → Sign with a name** The emphasis shifts depending on the type of criticism. Here's what we mapped out for each scenario: ### Constructive Criticism (They Have a Point) The highest-value response you'll write. Someone experienced a real problem, described it clearly, and gave you the opportunity to show you're listening. > Acknowledge the specific issue they raised → Thank them for the detail → Share what you've done or are doing about it → Offer a direct channel if they want to continue the conversation The difference between a good response and a wasted one here comes down to specificity. "We're always working to improve" means nothing. "We shipped a new onboarding flow in January that reduced average setup time by 60%" - that's a response buyers remember. ### Bug Reports and Technical Issues Reviewers sometimes use review platforms to report bugs, especially if they felt support wasn't responsive enough. > Acknowledge the technical issue → Confirm whether it's been resolved (with specifics) → If not resolved, explain where it stands → Provide a direct support channel Nobody cares why the bug happened - they care whether it's fixed. ### Feature Requests Disguised as Complaints "This product would be great if it had X" written as a 3-star review. > Validate the need → Share whether X is on the roadmap (only if it genuinely is) → If it's not planned, explain honestly → Point to existing alternatives within the product if they exist Don't promise a feature is "coming soon" if it's not prioritized. The reviewer - and everyone reading - will remember. ### "Wrong Product" Reviews Sometimes reviewers expected something your product doesn't do. "I thought this was a full CRM" for a product that's a lightweight contact manager. > Acknowledge the mismatch without dismissing their experience → Clarify what your product does focus on → Suggest what type of product might be a better fit (generously) This is positioning work disguised as a review response. You're clarifying your product's identity for every future reader. ### Emotional / Angry Reviews The hardest to respond to. Someone is frustrated and their review reflects it. > Acknowledge the frustration directly → Don't match the energy → Stick to facts about what happened and what's changed → Offer a direct line to a real person → Keep it short A long, detailed response to an emotional review reads like you're arguing. Keep it shorter than the review itself. ### Outdated Reviews (The Problem Was Fixed) This is where the AI angle from earlier pays off. A review from eighteen months ago complains about a problem you solved six months ago. The review still shows on the page. The old rating still counts in your average. But your response can update the narrative - for human buyers reading today, and for AI systems that will increasingly be able to weigh the original complaint against your correction. > Acknowledge the original issue was real → Confirm when and how it was resolved → Be specific: names of features, dates of releases, metrics of improvement → Invite them to try again These responses do double duty: they reassure human buyers that the issue is resolved, and they place updated, authentic product information on a high-authority domain - exactly the kind of signal AI systems are learning to value. It's the closest thing to editing a third-party page about your product that you'll ever get. ## How to Respond to Positive Reviews It feels unnecessary - they already said nice things - but we noticed something when we looked across vendor profiles: the ones that respond to positive reviews have more reviews overall. That makes sense. Responding signals to future reviewers that someone actually reads these, and it signals to the platform that you're actively engaged. It also adds more of your voice to the page - building the kind of engagement record that will matter as AI gets better at reading these platforms. **What we found works:** **For a detailed positive review** (someone who put real effort in): > Thank them specifically for the detail → Reference something specific they mentioned → Share a brief note about what's coming that connects to what they liked → Sign with a name **For a short positive review** (a few sentences, good rating): > Quick thanks → Acknowledge what they highlighted → Invite them to share more detail if they'd like → Sign with a name **For a positive review that mentions a minor complaint:** > Thank them for the overall feedback → Acknowledge the specific concern (don't skip it) → Briefly note what you're doing about it or why it works that way → Sign with a name **What we saw vendors get wrong:** Copy-pasting identical responses on every positive review - buyers scroll and they notice. Marketing speak - "We're thrilled to hear about your success with our platform!" reads like a bot wrote it. Pivoting to upsell - "Glad you love Feature X - have you tried our Premium tier?" is not a review response. And not signing - a response from "The [Company] Team" is less human than "- Sarah, Customer Success." ## The Blastra Review Response Awards Most review platforms award badges for volume and ratings - how many reviews you collected, how high your average score is. Those metrics matter, but they miss something: whether you actually show up when someone has something to say. We think the real award goes to the companies willing to respond. So we're giving it. Here's what we found when we looked at actual review pages for several well-known B2B companies. ### Best (And Nearly Only) Consistent Responder: Pipedrive Pipedrive responds to reviews on every platform that allows it - G2, Capterra, Trustpilot - with personalized, specific messages that address actual feedback content rather than defaulting to boilerplate. They mention specific team members, and when a reviewer brings up a specific pain point, Pipedrive's response addresses that exact point. What makes this more interesting: Pipedrive appears to be almost uniquely good at this. While companies with far larger support teams stay silent, Pipedrive shows up consistently across platforms. This is a deliberate practice, and the result is a review page where buyers can see the company is present, listening, and acting. TeamViewer is another standout at enterprise scale — [managing review responses across 8+ platforms](/blog/from-the-trenches-alvaro-padilla-teamviewer/) with over 120,000 Trustpilot reviews alone. ### The Silent Giants **Slack on Capterra** - 48 one-star reviews. Zero vendor responses. Complete silence from a company with the resources to respond to every single one. **Zendesk on G2** - 111 one-star reviews, including recent ones with titles like "Fraud Experience" and "frustrating, inefficient, deeply disappointing." No responses. The irony here is hard to miss: a customer support company ignoring customer feedback on public platforms. **Freshdesk on TrustRadius** - Has "[Profile Claimed](/glossary/profile-claim/)" and "Trusted Seller" badges, which means they're investing in their TrustRadius presence. Zero responses on negative reviews. Whether they have a paid subscription that would unlock response capabilities, we don't know - but the engagement gap is visible either way. These are companies with dedicated support organizations, and the pattern is the same across all of them. ### Best Silent Leverager: Wiz Wiz has 700+ reviews on G2 and 600+ on Gartner Peer Insights, with consistently stellar ratings. We couldn't find vendor responses to individual reviews on any platform we checked. What they do instead: curate the best review quotes onto a dedicated [/reviews page](https://www.wiz.io/reviews) on their own website, turning third-party reviews into first-party marketing content. This works - when your reviews are overwhelmingly positive. But it comes with two caveats. First, highlighting specific reviews on your website typically requires [permissions that depend on your relationship with the platform](/blog/who-owns-your-software-reviews/). Second, this approach is fragile: it works beautifully at 4.7 stars with glowing testimonials, but a shift in sentiment with no response mechanism in place leaves you exposed. If you're going to play the silent game, do it intentionally. ### Cautionary Tale: Webflow Webflow has a vocal, passionate user base and hundreds of reviews across Capterra and G2. From what we could find, no vendor responses on review pages. And the consequence shows up in the reviews themselves. One Capterra reviewer wrote about being "very disappointed with the lack of support from the Webflow team" after getting no response to direct outreach. When your absence from the conversation becomes part of the conversation, that's worth paying attention to. ### The Template Hall of Shame Across the platforms, the most common bad patterns we found: **The Non-Response:** "Thanks for sharing your feedback!" - acknowledges the review exists without engaging with a single thing the reviewer said. Buyers see through it instantly. **The Copy-Paste:** Identical text on every review, positive or negative. Go to any platform and scroll through a product's responses - if they all start with the same sentence, the vendor is treating reviews as a checkbox. **The Argument:** A vendor response longer than the review itself, point-by-point disputing every criticism. Even if you're technically right, you look defensive. The buyer reading it thinks "this company can't take feedback." **The Marketing Pivot:** A review mentions a problem, and the response redirects to a sales page. "Sorry to hear about the difficulty! Have you checked out our new Enterprise tier?" reads as tone-deaf at best. ## What We Don't Know Some gaps remain that we want to be upfront about: **Dispute timelines:** We don't have reliable data on how long review dispute resolution takes across platforms. Anecdotally, it varies from days to weeks. **B2B-specific response impact data:** The stat about buyers being more likely to overlook negative reviews when the business responds comes from consumer research. B2B-specific data on review response impact is sparse. The logic should hold - buyers are still people - but we don't have the B2B numbers to cite. ## Source Documentation | Source | Type | Notes | |--------|------|-------| | [G2 Vendor Help Center](https://help.g2.com) | Primary | Review management, vendor challenges | | [Capterra Vendor Portal](https://www.capterra.com) | Primary | Response capabilities, compliance | | [TrustRadius Vendor Resources](https://www.trustradius.com) | Primary | Review policy, dispute process | | [PeerSpot Vendor Solutions](https://www.peerspot.com) | Primary | Authentication, community features | | [Trustpilot Business](https://business.trustpilot.com) | Primary | Dispute process, business tools | | [Blastra: G2 vs Capterra Vendor Pricing](/blog/g2-capterra-vendor-pricing-compared/) | Internal | G2 paywall confirmation | | [Blastra: Who Owns Your Software Reviews?](/blog/who-owns-your-software-reviews/) | Internal | Review ownership, highlighting permissions | | [Blastra: How to Get G2 & Capterra Reviews](/guides/how-to-get-g2-capterra-reviews/) | Internal | Companion guide - generating reviews | ## Key Takeaways G2, Capterra, SourceForge, and TrustRadius support vendor responses. G2 and TrustRadius charge for it; Capterra and SourceForge are free. Two other major platforms have no response mechanism at all. Start with Capterra. Even on the platforms that allow it, almost nobody responds. Slack has 48 one-star reviews on Capterra with zero responses. Zendesk has 111 on G2. Pipedrive is one of the few companies we found doing this consistently - and it shows on their review pages. Trustpilot is the platform most likely to have reviews accumulating without the vendor's knowledge. Check whether you have a page. If you do, claim it. The dispute process exists on most platforms, but respond to disputed reviews as if they'll stay - because they might. Your response works for you either way. Your real audience is everyone reading after the reviewer: buyers who sort by lowest rating, competitors doing research, and increasingly, AI systems that pull from these platforms when recommending software. When you respond, you're writing for all of them. Specific beats generic. A real name at the bottom beats "The Team." And a review page where the vendor clearly shows up is worth more than a perfect star average with zero engagement. If you need more reviews to start with, we mapped out how to get them in our [guide to getting G2 and Capterra reviews](/guides/how-to-get-g2-capterra-reviews/). ## FAQ ### Which platforms let vendors respond to reviews? G2, Capterra, SourceForge, and TrustRadius support public responses. Capterra and SourceForge are free; G2 and TrustRadius require paid subscriptions. Trustpilot also allows free responses. Gartner Peer Insights and PeerSpot have no response mechanism. ### How do I dispute a fake or unfair review? G2: "Submit Your Concern" on each review. Capterra: contact compliance team. TrustRadius/Gartner: contact research or support teams. PeerSpot: community policing. SourceForge: no published process. ### What qualifies as a removable review? Competitor/employee reviews posing as customers, wrong-product reviews, factually false claims (not opinions), policy violations, and fabricated reviews from non-users. Negative, outdated, or score-hurting reviews are not removable. ### Should I respond to positive reviews? Yes. Vendors who respond to positive reviews tend to have more reviews overall. It signals engagement and encourages future reviewers to participate. ### How long should a response to a negative review be? Shorter than the review itself. Long responses appear defensive. Structure: acknowledge, own what you can, brief context, next step, sign with a name. ### What if I can't respond on a platform? Use the dispute process for policy violations. For legitimate negative feedback, focus on product improvements and encouraging new reviews that reflect the current experience. ### Do AI systems read review responses? Yes. AI systems pull from G2, Capterra, and SourceForge when recommending software. Thoughtful responses — especially explaining fixes to outdated complaints — provide corrective context for both buyers and AI. --- ## Related Reading ### Platform Guides - **[How to Earn G2 Badges](/guides/how-to-earn-g2-badges/)** - Understanding G2's badge system and what the paid subscription gets you - **[How to Earn Capterra Badges](/guides/how-to-earn-capterra-badges/)** - Free badges with strong visibility - **[How Trustpilot Recognition Works](/guides/how-trustpilot-recognition-works/)** - Trustpilot for B2B - **[How Gartner Peer Insights Works](/guides/how-gartner-peer-insights-actually-works/)** - Enterprise buyer credibility - **[How to Earn TrustRadius Badges](/guides/how-to-earn-trustradius-badges/)** - Independent B2B alternative - **[How to Earn PeerSpot Badges](/guides/how-to-earn-peerspot-badges/)** - Verified reviewer platform - **[How to Earn SourceForge Badges](/guides/how-to-earn-sourceforge-badges/)** - Developer-focused recognition - **[How to Get G2 & Capterra Reviews](/guides/how-to-get-g2-capterra-reviews/)** - Companion guide to generating reviews ### Strategy & Analysis - **[Who Owns Your Software Reviews?](/blog/who-owns-your-software-reviews/)** - Review ownership and platform terms - **[G2 vs Capterra Vendor Pricing Compared](/blog/g2-capterra-vendor-pricing-compared/)** - Understanding what you pay for - **[How AI Recommends SaaS](/blog/ai-search-consensus-pattern-saas-recommendations/)** - Why review presence matters for AI discovery - **[Directory Strategy as Competitive Moat](/blog/directory-strategy-competitive-moat/)** - Building defensible presence - **[Software Badges Decoded](/blog/software-badges-decoded-ai-trust-signals/)** - What badges actually signal ### Glossary - [User Reviews](/glossary/user-reviews/) - [Review Campaign](/glossary/review-campaign/) - [Review Verification](/glossary/review-verification/) - [Incentivized Reviews](/glossary/incentivized-reviews/) - [Profile Claim](/glossary/profile-claim/) - [Unclaimed Profile](/glossary/unclaimed-profile/) - [Badge](/glossary/badge/) --- # Trustpilot Guide: How TrustScore Recognition Works for B2B SaaS (2026) URL: https://blastra.io/guides/how-trustpilot-recognition-works/ Description: Trustpilot has no formal badge program for software companies. Here's how TrustScore, TrustBox, and the green stars actually work — and which B2B SaaS companies should care. ## TL;DR [Trustpilot](/directories/trust-pilot/) has no formal [badge](/glossary/badge/) or award program like [G2](/directories/g2/), [Capterra](/directories/capterra/), or SourceForge. There are no quarterly reports, no annual lists, no "Top Rated" badges to earn through a competitive process. The recognition system is the TrustScore itself — a 1–5 rating based on all your reviews — plus the green star visuals you can display through TrustBox widgets on your site. For B2B SaaS, Trustpilot is fundamentally different from every other platform we've covered, and that difference matters for deciding where to spend your time. --- ## Should You Prioritize Trustpilot? Before you read the rest of this guide, our assessment. **Trustpilot makes sense if:** Your customers behave like consumers when they buy your product. Self-serve signups, credit card purchases, individual decision-makers rather than buying committees. Think website builders, CRM tools with free tiers, design platforms, e-commerce tools. If your users are the kind of people who'd leave a Trustpilot review after a bad car rental or a flight cancellation — and leaving one takes about 30 seconds, no account verification, no structured form — they might leave one for your software too. You want consumer-facing brand trust signals. Trustpilot's green stars are recognized by everyday internet users in a way that G2 badges simply aren't. If your marketing reaches people outside the B2B software bubble — paid ads, landing pages aimed at small business owners, comparison shopping — the Trustpilot star rating carries immediate visual trust. You already have a Trustpilot profile accumulating reviews. Many B2B SaaS companies discover they already have an [unclaimed profile](/glossary/unclaimed-profile/) with [organic reviews](/glossary/organic-reviews/). If that's you, the question shifts from "should I be on Trustpilot?" to "should I manage what's already there?" **Trustpilot is probably not your priority if:** You sell to enterprise buyers through a sales team, procurement process, and multi-month evaluation cycle. Those buyers look at [G2](/guides/how-to-earn-g2-badges/), [Gartner Peer Insights](/guides/how-gartner-peer-insights-actually-works/), and [TrustRadius](/guides/how-to-earn-trustradius-badges/) — platforms designed for exactly that buying motion. You have a small customer base (under 50 accounts). Trustpilot is an open platform — anyone can post a review, including people who aren't your customers. With a small customer base, the ratio of legitimate reviews to noise can work against you. The platforms with [verified reviewer](/glossary/review-verification/) requirements ([PeerSpot](/guides/how-to-earn-peerspot-badges/), Gartner Peer Insights) offer more protection here. You need competitive [category rankings](/glossary/categories/). Trustpilot doesn't rank you against competitors in your software category. There's no [Grid](/glossary/grid/), no Shortlist, no quadrant. If category positioning is what you're after, that's a different set of platforms entirely. **The comparison:** | Factor | Trustpilot | G2 | Capterra | |--------|------------|----|---------| | **Buyer type** | Individual, consumer-like | B2B software buyer | B2B software buyer | | **Awards/badges** | None (TrustScore is the signal) | Quarterly Grid reports, 10+ badge types | Shortlist, badges (quarterly) | | **Review verification** | Open — anyone can post | Verified professional profiles | Verified, moderated | | **Free plan** | TrustScore + basic widget + 50 invitations/month + review replies | Profile only (replies require paid plan) | Profile only | | **Recognition display cost** | Free (basic) to paid (custom widgets) | $2,999+/year for badge display | Included with reviews | | **Time to earn recognition** | Immediate (TrustScore updates in real-time) | Quarterly cycle | Quarterly cycle | | **AI search relevance** | Brand-level trust signal | Software-specific category signal | Software-specific category signal | One thing stands out in this comparison: Trustpilot's free plan is genuinely usable. You get a TrustScore, a basic widget to display it, 50 review invitations per month, and — critically — the ability to respond to every review your customers leave. For a B2B SaaS company with a few hundred customers, that might be everything you need. Compare that to G2, where even replying to reviews that your customers took the time to write requires a paid plan. On G2, the reviews are about your product, written by your users, and you need to [pay to participate](/blog/g2-capterra-vendor-pricing-compared/) in the conversation. On Trustpilot, the entire review management loop — collect, respond, display — works at the free tier. With G2 now owning Capterra, GetApp, and Software Advice, a free independent alternative starts looking more interesting — challenges and all. And Trustpilot's own numbers are striking: [AI search click-throughs to Trustpilot grew roughly fifteen-fold in 2025](/blog/trustpilot-ai-search-visibility/), making it the fifth most-cited domain on ChatGPT globally. --- ## How Trustpilot Recognition Works Since there's no formal badge program, "recognition" on Trustpilot comes from three things working together. ### The TrustScore Your TrustScore is a number between 1.0 and 5.0, calculated from all your reviews. It's not a simple average. Three factors go into it. **Recency weighting** gives more influence to recent reviews than old ones, using exponential decay. A five-star review from last week counts more than a five-star review from two years ago. This means your TrustScore reflects your current performance, and it means a string of bad reviews can move the score quickly. **Review frequency** rewards businesses that collect reviews consistently. Sporadic bursts of reviews carry less weight than a steady stream. This is worth knowing if you're planning a one-time [review campaign](/glossary/review-campaign/) versus building an ongoing collection process. **[Bayesian averaging](/glossary/bayesian-averaging/)** is the most interesting part, and the one most businesses don't know about. The name sounds technical, but the concept is simple: instead of calculating your score purely from real reviews, the platform adds a set of imaginary "baseline" reviews to every new profile. Trustpilot starts yours with seven phantom reviews at 3.5 stars. These aren't real reviews — they're a statistical safety net that prevents a single genuine review from creating a misleading score. Without them, a brand-new profile with one five-star review would show a perfect 5.0, which wouldn't be meaningful. With the phantom baseline, that same profile shows something closer to 3.7. You need roughly 10–15 reviews above 4.5 stars to push your TrustScore above 4.0. This is the "dig out" period every new profile goes through, and it's why starting early matters — the phantom reviews dilute less as your real review count grows. The TrustScore updates in real-time for businesses with fewer than 10,000 reviews (daily for those above). There are no quarterly cycles to wait for, no publication dates to plan around. This is a significant difference from G2's quarterly Grid reports or [Capterra's](/guides/how-to-earn-capterra-badges/) periodic badge recalculations. ### The Green Stars The star rating displayed alongside your TrustScore is the visual recognition that most people associate with Trustpilot. Five green stars next to a 4.3 rating is recognizable even to people who've never heard of G2 or Capterra. This is Trustpilot's equivalent of a badge — and in some contexts, it's more powerful than a formal award. A consumer seeing "4.5 ★★★★★ on Trustpilot" in a Google ad understands it immediately. The same consumer seeing "G2 High Performer Fall 2025" has to decode what that means. (We wrote about this [badge legibility problem](/blog/software-badges-decoded-ai-trust-signals/) — it affects humans and AI systems alike.) Trustpilot's own research (a 2025 study by London Research, commissioned by Trustpilot — note the funding) found that their star ratings in Google Shopping ads produced a 57% higher click-through rate compared to Google's native seller ratings. That's a vendor-funded statistic for a consumer market (Google Shopping ads, not software purchases), so apply appropriate skepticism — but it's the best available data on the effectiveness of Trustpilot recognition in advertising. ### TrustBox Widgets TrustBox is what Trustpilot calls the embeddable widgets that display your TrustScore and reviews on your website. The free plan includes a basic widget. Paid plans unlock customizable designs, review carousels, and integration options. We're covering TrustBox at a high level here because the strategic question — whether to be on Trustpilot at all — matters more for most B2B SaaS companies than the details of widget customization. If you decide Trustpilot is right for you, their [TrustBox documentation](https://business.trustpilot.com/features/trustbox) covers the implementation specifics. --- ## What Trustpilot Actually Looks Like for B2B SaaS Trustpilot's roots are in consumer reviews — restaurants, travel companies, e-commerce. Its [taxonomy](/glossary/taxonomy/) reflects this. There isn't a clean "B2B SaaS" category. Pipedrive, for example, sits under "CRM Providers" which belongs to "Business Services > Sales and Marketing." The platform is organized around companies and brands, not software categories. So what does it actually look like when B2B SaaS companies end up on Trustpilot? We looked at three real profiles. ### Wix — What Active Review Solicitation Can Do Wix has over 26,000 reviews on Trustpilot and a TrustScore of 3.8 stars. The profile is claimed and actively managed — the company responds to negative reviews consistently, often within a day. But look at the review distribution: 74% five-star, 20% one-star, and almost nothing in between. The five-star reviews are overwhelmingly from invited users praising ease of use, while the one-star reviews are almost entirely about billing, cancellation difficulty, and unexpected renewals. This is what a well-managed Trustpilot profile looks like at scale: consistent review solicitation drives the overall score up, active response management signals engagement, but the underlying complaint patterns remain visible to anyone who reads beyond the star rating. The bimodal distribution — mostly fives, a chunk of ones — is itself a signal that review invitations are working but customer service pain points persist. ### Webflow — The Duplicate Profile Problem Webflow has two profiles — one at webflow.com (206 reviews, 1.5 stars) and one at webflow.io (11 reviews, 2.2 stars). Neither appears actively managed. The complaint patterns mirror what you see with Wix: pricing frustration, cancellation difficulty, and customer support issues. The low review volume combined with predominantly negative sentiment makes both profiles cautionary reading. This matters given how much Webflow invests in its broader discoverability strategy — the company is [frequently cited as a case study](https://www.lennysnewsletter.com/p/the-ultimate-guide-to-aeo-ethan-smith) for AI answer engine optimization (AEO), maintains active Reddit presence, and runs sophisticated SEO. All of that work to show up well in [AI recommendations](/blog/ai-search-consensus-pattern-saas-recommendations/), while a 1.5-star Trustpilot profile sits unattended. It's a reminder that [visibility posture](/blog/introducing-visibility-posture-alpha/) has gaps you don't notice until someone points them out. The duplicate profile situation is a Trustpilot-specific quirk worth knowing about. Because profiles are tied to domain names rather than company identity, a business can end up fragmented across multiple URLs without realizing it. Webflow has two. Some companies built on subdomains or with multiple product domains might have even more. ### Pipedrive — What Active Management Looks Like Pipedrive tells a different story: 3,200 reviews, a 4.3 TrustScore, and an actively managed profile with the company replying to both positive and negative reviews. This is the kind of profile that turns Trustpilot into a genuine trust signal. A few things are interesting about Pipedrive's profile. First, despite having a strong 4.3 rating, Pipedrive doesn't prominently display a Trustpilot badge on their own website. This might suggest that even companies succeeding on Trustpilot don't consider it their primary recognition platform for B2B credibility. Second, Pipedrive's profile carries a notice from Trustpilot about review solicitation practices. This is part of Trustpilot's transparency system — when a business actively invites reviews (which Trustpilot allows within their guidelines), the platform flags it so visitors can weigh that context. Third, the volume itself is notable. With 3,200 reviews, Pipedrive has significantly more Trustpilot reviews than most B2B SaaS tools accumulate on G2 or Capterra. Whether that's because of consumer-like buying patterns in some customer segments, active review solicitation, a large user base generating organic feedback, or some combination of all three — we can't say with certainty. But the review volume is there. ### What the Profiles Tell Us The contrast between these three companies is instructive. Wix (3.8 stars, 26K reviews) and Pipedrive (4.3 stars, 3,200 reviews) both actively manage their profiles, but with very different outcomes. Wix's bimodal review distribution — overwhelmingly five-star from invited reviews, heavily one-star from organic complaints — suggests review solicitation is doing the heavy lifting. Pipedrive's more consistent rating distribution suggests either different solicitation practices, a different customer satisfaction reality, or both. Webflow, with unmanaged profiles and sub-2.0 ratings, shows what happens when you leave Trustpilot to its own devices. Leaving a Trustpilot review is about as easy as rating a bad Uber ride — a star rating, a few sentences, done in under a minute. That low friction means organic reviews skew toward emotional reactions to negative experiences. Without active solicitation to balance that signal, the profile tells a one-sided story. The pattern across these companies suggests something about which B2B SaaS products end up with meaningful Trustpilot presence: it correlates with how consumer-like the user experience feels. Wix and Webflow users interact with those products the way they'd interact with any consumer app. When frustrated about billing or cancellation, they go where consumers go — Trustpilot. The review behavior follows consumer instincts, regardless of whether the product is technically B2B. Compare this to the review experience on [G2](/glossary/review-platform/) or Capterra, where leaving a review involves filling out a structured form with feature ratings, use cases, and professional context. The friction of that process filters for intentional, considered reviews. Trustpilot's open model means you get volume, but you need active management to ensure that volume tells a representative story. --- ## The Pricing Question Trustpilot offers three tiers: Free, Plus, and Advanced (possibly more — the naming and structure shift periodically). Actual prices aren't published. Third-party sources report starting prices around $299/month for paid plans, with annual contracts that auto-renew. What the free plan includes is worth spelling out because it's surprisingly complete for B2B SaaS: The free tier gives you your TrustScore (calculated and displayed automatically), a basic TrustBox widget for your website, up to 50 review invitations per month, and the ability to reply to reviews. For a B2B SaaS company with a few hundred customers, that might be everything you need. Fifty invitations a month translates to 600 per year — enough to reach most of your customer base. Paid plans add customizable widgets, enhanced analytics, competitive intelligence, API access, and Google Seller Ratings integration (which places your star rating directly in Google Shopping ads). The Google Seller Ratings feature is the main reason a B2B SaaS company might consider paying — if you run Google Ads targeting bottom-of-funnel buyers, having star ratings in your ad creative can meaningfully affect click-through rates. What we don't know about pricing: exact tier costs, what triggers contract conversations, whether enterprise-level pricing follows a different structure, and how negotiable the terms are. Complaints from users on third-party forums mention unexpected auto-renewals and features locked behind more expensive tiers than expected. We're flagging this because it appeared in multiple sources, but we haven't verified it firsthand. --- ## Step-by-Step: Making Trustpilot Work for B2B SaaS If you've read this far and decided Trustpilot is relevant for your company, here's the path through. ### Step 1: Check Whether You Already Have a Profile Search for your domain on Trustpilot — not your company name, your domain (e.g., trustpilot.com/review/yourcompany.com). You might already have reviews accumulating on an unclaimed profile. Webflow's unmanaged 1.5-star profile is a cautionary example of what happens when reviews accumulate without anyone watching. If you find an existing profile, [claiming it](/glossary/profile-claim/) is the first priority so you can respond to reviews and manage your presence. ### Step 2: Claim and Complete Your Profile Claiming is free and gives you access to the business dashboard. Fill out your company information, add your logo, and write a description. This is straightforward — Trustpilot's business onboarding is less complex than G2 or Capterra because there's no category taxonomy to navigate (remember, the platform is organized around companies, not software categories). ### Step 3: Respond to Existing Reviews If you inherited reviews from an unclaimed profile, start responding. Especially to negative ones. Pipedrive's profile demonstrates what active review management looks like — thoughtful responses to both positive and negative reviews signal that you're paying attention. This matters both for human visitors reading the reviews and for AI systems that may evaluate review response patterns as a signal of business credibility. ### Step 4: Build a Review Collection Process The free plan gives you 50 invitations per month. Use them. Trustpilot has guidelines about how you can invite reviews — you can ask customers directly, but you can't [incentivize](/glossary/incentivized-reviews/) or cherry-pick who you ask (asking only happy customers violates their terms). The platform wants you to invite all customers and let the TrustScore reflect genuine experience. For B2B SaaS, the most natural touchpoints for review invitations are: after onboarding completion, after a successful support interaction, at contract renewal, or after a positive milestone (feature launch they requested, quota achievement with your tool). These are the same [review collection principles](/guides/how-to-get-g2-capterra-reviews/) that apply across platforms — if you've already built a review process for [G2](/directories/g2/) or [Capterra](/directories/capterra/), the mechanics transfer. ### Step 5: Decide on Widget Placement The basic free widget displays your TrustScore and star rating. Place it where trust matters — pricing pages, signup flows, landing pages for paid campaigns. For B2B SaaS, the highest-value placement is typically on pages where a prospect is deciding whether to commit: trial signup, demo request, or pricing comparison. ### Step 6: Monitor and Maintain Unlike platforms with quarterly cycles, Trustpilot's TrustScore moves in real-time. A bad week of reviews shows up immediately. This means your Trustpilot profile needs ongoing attention rather than quarterly sprints. The good news is that for most B2B SaaS companies, the review volume is low enough that monitoring takes minutes per week, not hours. --- ## What We Don't Know Trustpilot's documentation and our research leave some questions unanswered for B2B SaaS specifically: **Whether Trustpilot reviews influence AI search recommendations for B2B software.** Trustpilot's marketing materials reference AI visibility, but the evidence they cite comes from consumer contexts. We know AI systems evaluate [consensus across multiple source types](/blog/ai-search-consensus-pattern-saas-recommendations/), and Trustpilot is a prominent platform that AI crawlers access. But we don't have specific evidence that a Trustpilot profile meaningfully influences how AI models recommend enterprise or B2B software. For consumer-adjacent B2B tools, the influence is more plausible. **Exact pricing for paid plans.** We've reported the ~$299/month figure from third-party sources, but Trustpilot doesn't publish its pricing. Your actual cost may differ based on business size, negotiation, and which features you need. **B2B SaaS-specific case studies.** Trustpilot's published success stories are overwhelmingly consumer-facing: ThriftBooks, TurboDebt, Personnel Checks, TaxSlayer Pro, LendingTree. We couldn't find a B2B SaaS case study where Trustpilot was positioned as the primary [review platform](/glossary/review-platform/). This gap doesn't mean it can't work for B2B SaaS — Pipedrive's profile suggests it can — but it does mean you're working without a published playbook. **How the Bayesian averaging formula affects category-specific scoring.** We know about the seven phantom reviews at 3.5 stars. We don't know whether this baseline varies by category, business size, or region. --- ## How Trustpilot Fits in Your Directory Strategy Trustpilot's role in a [visibility posture](/glossary/visibility-posture/) is different from [G2](/directories/g2/) or [Capterra](/directories/capterra/). It's not a software-specific platform — it's a brand trust platform that [software companies](/blog/what-are-software-directories/) happen to appear on. This means it adds a different type of signal to your overall presence. While G2 and Capterra provide category-specific credibility ("this is a top-rated CRM"), Trustpilot provides brand-level trust ("this is a well-regarded company"). Both matter, and they matter to different audiences. For [SaaS listings management](/glossary/software-listings-management/), the practical implication is: Trustpilot belongs in the mix if your customers naturally encounter it, but it shouldn't replace dedicated [software review platforms](/glossary/software-directory/). It supplements them. The diversification argument is stronger than ever. With [G2's acquisition of Gartner Digital Markets](/blog/g2-acquires-capterra-gartner-digital-markets/) — which includes Capterra, GetApp, and Software Advice — now finalized, concentrating all your review presence in platforms owned by a single company carries real risk. Trustpilot, as an independent platform with massive consumer reach, provides a genuinely distinct signal source — and one that AI systems evaluate independently from the G2/Capterra/GetApp ecosystem. Building a [directory strategy as a competitive moat](/blog/directory-strategy-competitive-moat/) means having presence where your competitors don't. TeamViewer demonstrates this at scale — [managing awards across 8+ platforms](/blog/from-the-trenches-alvaro-padilla-teamviewer/) including over 120,000 Trustpilot reviews. --- ## Source Documentation ### Primary Sources (Dated, Reliable) | Source | Date | Notes | |--------|------|-------| | [Trustpilot Support — TrustScore Calculation](https://support.trustpilot.com/hc/en-us/articles/201748946) | Accessed Feb 2026 | Official methodology documentation | | [Trustpilot Business — Plans and Pricing](https://business.trustpilot.com/plans-pricing) | Accessed Feb 2026 | Official (though actual prices require sales contact) | | [Trustpilot Business — TrustBox](https://business.trustpilot.com/features/trustbox) | Accessed Feb 2026 | Official widget documentation | | [Trustpilot for Business Blog — Badge Effectiveness](https://business.trustpilot.com/blog) | July 2025 | London Research study, commissioned by Trustpilot (57% CTR claim) | | [Coalition for Trusted Reviews](https://www.coalitionfortrustedreviews.org/) | Accessed Feb 2026 | Founding members include Trustpilot, Amazon, Booking.com | ### Company Profiles Analyzed | Company | URL | Reviews | TrustScore | Status | |---------|-----|---------|------------|--------| | Wix | [trustpilot.com/review/www.wix.com](https://www.trustpilot.com/review/www.wix.com) | ~26,000 | 3.8 | Claimed, actively managed | | Webflow | [trustpilot.com/review/webflow.com](https://www.trustpilot.com/review/webflow.com) | 206 (primary) | 1.5 | Unclaimed | | Pipedrive | [trustpilot.com/review/pipedrive.com](https://www.trustpilot.com/review/pipedrive.com) | ~3,200 | 4.3 | Claimed, actively managed | ### Secondary Sources | Source | Notes | |--------|-------| | [DesignRush — Trustpilot Review](https://www.designrush.com/agency/reputation-management/trustpilot) | ~$299/month starting price reported | | [Reddit r/Entrepreneur](https://www.reddit.com/r/Entrepreneur/search/?q=trustpilot%20pricing) | User discussions on pricing and auto-renewal complaints | --- ## Key Takeaways 1. **No badge program exists.** Trustpilot has no formal badge or award program. The TrustScore and green star rating are the recognition system, and they work differently from everything else in the software review landscape. 2. **The free plan works.** Genuinely usable for most B2B SaaS companies — TrustScore, basic widget, 50 review invitations per month, and review response capability at no cost. Compare this to G2's $2,999+ annual fee for badge display rights. 3. **Best for consumer-like buying patterns.** Self-serve signups, individual decision-makers, products that feel like consumer apps. Enterprise software sold through procurement processes is a poor fit. 4. **Check for unclaimed profiles.** Trustpilot is an open platform. Your customers (or unhappy former trial users) may already be writing about you there. 5. **New profiles start at 3.5 effective baseline.** The Bayesian averaging system means you'll need roughly 10–15 positive reviews to push above 4.0. Plan your initial review collection accordingly. 6. **Different signal type.** Trustpilot provides brand-level trust rather than category-specific software credibility. Both matter — and as the software review landscape consolidates, having an independent trust signal outside the G2/Capterra ecosystem becomes increasingly valuable. 7. **Active management matters.** Wix's 3.8-star profile with 26,000 reviews and Pipedrive's 4.3-star profile both demonstrate what consistent management looks like — compare that to Webflow's unmanaged 1.5-star profile. The platform rewards attention. --- ## FAQ ### Is Trustpilot free for businesses? Yes. The free plan includes your TrustScore, a basic TrustBox widget, 50 review invitations per month, and the ability to reply to all reviews. Paid plans start around $299/month and add customizable widgets, analytics, and Google Seller Ratings integration. ### How is the TrustScore calculated? The TrustScore uses recency weighting, review frequency, and [Bayesian averaging](/glossary/bayesian-averaging/) — including seven baseline 3.5-star phantom reviews for new profiles. New profiles typically need 10–15 positive reviews above 4.5 stars to reach a 4.0 TrustScore. ### Does Trustpilot have badges like G2 or Capterra? No. Trustpilot has no badge or award program. The TrustScore and green star rating are the recognition system. The five green stars are instantly recognizable to consumers — more so than B2B-specific badges. ### Should B2B SaaS companies be on Trustpilot? Trustpilot works best for SaaS with consumer-like buying patterns: self-serve signups, credit card purchases, individual decision-makers. Enterprise software sold through procurement processes fits better on G2, Gartner Peer Insights, or TrustRadius. Check if you already have an unclaimed profile accumulating reviews. ### How do I claim my Trustpilot business profile? Search trustpilot.com/review/yourcompany.com (use your domain, not company name). Claim it free through Trustpilot's business portal to access the dashboard, respond to reviews, send invitations, and add widgets. ### Can anyone leave a Trustpilot review? Yes. Unlike G2 or Capterra which verify reviewers, Trustpilot is open — anyone can post a review in 30 seconds. This low friction means organic reviews often skew negative, making active review solicitation essential. ### Do AI search engines use Trustpilot reviews? AI systems evaluate consensus across multiple source types when recommending software. Trustpilot provides brand-level trust signals that complement category-specific signals from platforms like G2. For consumer-adjacent B2B tools, Trustpilot reviews likely influence AI recommendations — though B2B-specific evidence is limited. ### Is Trustpilot worth it for SaaS companies? For SaaS with self-serve, consumer-like buying — yes, especially since the free plan is genuinely usable. For enterprise SaaS sold through sales teams and procurement, G2 and Gartner Peer Insights deliver more relevant buyer signals. Consider Trustpilot as a complement to, not replacement for, B2B-specific platforms. --- ## Recommended Reading ### Platform Guides - **[How to Earn G2 Badges](/guides/how-to-earn-g2-badges/)** — G2's badge system requires paid plans ($2,999+/year) to display. Understand what you're getting into before investing. - **[How to Earn Capterra Badges](/guides/how-to-earn-capterra-badges/)** — Capterra badges are free to display (for now). With G2's acquisition of Gartner Digital Markets, this may change. - **[How Gartner Peer Insights Actually Works](/guides/how-gartner-peer-insights-actually-works/)** — For enterprise buyers, Gartner's platform carries more weight than consumer review sites. - **[How to Earn TrustRadius Badges](/guides/how-to-earn-trustradius-badges/)** — TrustRadius offers an independent alternative with strong B2B focus. - **[How to Get G2 and Capterra Reviews](/guides/how-to-get-g2-capterra-reviews/)** — The review collection principles transfer across platforms, including Trustpilot. ### Strategy & Context - **[What Are Software Directories?](/blog/what-are-software-directories/)** — Understanding the landscape of B2B software discovery platforms. - **[Directory Strategy as Competitive Moat](/blog/directory-strategy-competitive-moat/)** — Why presence across multiple platforms matters more than dominating one. - **[G2 Acquires Capterra: What It Means](/blog/g2-acquires-capterra-gartner-digital-markets/)** — The consolidation that makes independent platforms like Trustpilot more strategically valuable. - **[Software Badges Decoded](/blog/software-badges-decoded-ai-trust-signals/)** — Why Trustpilot's simple star rating may actually communicate trust better than complex badge systems. - **[How AI Recommends Software](/blog/ai-search-consensus-pattern-saas-recommendations/)** — Understanding the consensus pattern that makes diverse review presence valuable. --- ## About This Guide [Blastra](/) helps B2B software companies manage their presence across directories and review platforms including [G2](/directories/g2/), [Capterra](/directories/capterra/), [Trustpilot](/directories/trust-pilot/), and [30+ other platforms](/directories/). If you've decided Trustpilot belongs in your strategy, we can help you get set up and maintain it alongside the rest of your [visibility posture](/glossary/visibility-posture/). --- *This guide reflects publicly available documentation and real company profiles as of February 2026. Trustpilot may update their TrustScore methodology, pricing, or features. Verify against [official sources](https://business.trustpilot.com) for the most current information.* --- # How Gartner Peer Insights Actually Works: VOC, Reviews, MQ URL: https://blastra.io/guides/how-gartner-peer-insights-actually-works/ Description: How Gartner Peer Insights works: VOC review windows, Customers' Choice requirements, and why your reviews feed into Magic Quadrant evaluations. ## TL;DR Gartner Peer Insights (GPI) is the only review platform where your customer reviews are used as inputs in [Magic Quadrant](/glossary/magic-quadrant/) evaluations. Your reviews do double duty — earning you a **Customers' Choice** badge on GPI while also influencing how Gartner analysts evaluate your product. And following [G2's acquisition of Capterra, GetApp, and Software Advice](/blog/g2-acquires-capterra-gartner-digital-markets/), GPI is now Gartner's only remaining software directory — which probably means they'll be investing more in it. If the methodology below feels intimidating — you're not alone. We tried our best to make it accessible, and even that was difficult. You need **20+ verified reviews** in an 18-month window, from customers at companies with **$50M+ revenue**. Gartner even funds your first $1,250 in review incentives. The catch: GPI has the strictest marketing compliance rules of any platform we've covered — pre-approval required before using your badge. And the VOC publication schedule is buried in a four-tab Excel file that most vendors never decode. We extracted all 58 [markets](/glossary/market-gartner-peer-insights/) on the Feb–June 2026 schedule with their exact review windows and freeze periods below — a worked reference for how the cadence runs. Those cycles have all since published; for the markets currently open, check the live calendar (Gartner only posts it ~2 months ahead). --- ## Should You Prioritize Gartner Peer Insights? Before diving into the methodology, here's our assessment. **GPI is probably worth it if:** - You sell to enterprise [buyers](/glossary/buyer/) at organizations with $50M+ revenue - Your product maps to a Gartner Magic Quadrant or Market Guide [category](/glossary/categories/) - You have 20+ enterprise customers who could write reviews within 18 months - You want your customer feedback to influence how Gartner analysts evaluate your market - You're prepared to follow strict marketing compliance rules when using recognition **GPI is probably not worth it if:** - Your customers are primarily SMB or midmarket (reviews from companies under $50M revenue don't count toward VOC or Customers' Choice — they still appear on your [profile](/glossary/listing-or-profile/), but won't earn you a badge) - Your product category doesn't have a corresponding Magic Quadrant or Market Guide - You have fewer than 20 enterprise customers who've deployed in the past 18 months - You need quick recognition wins ([Capterra badges](/guides/how-to-earn-capterra-badges/) are faster and more accessible) **The math:** Customers' Choice goes to vendors scoring above market average on both axes. In established categories like SIEM or CRM, you're competing against vendors with hundreds of reviews and dedicated analyst relations teams. In newer or narrower categories, the bar is lower — but check whether your market even has a VOC publication scheduled. **Start here:** Visit [gartner.com/reviews](https://www.gartner.com/reviews), search for your product category, and look at the current Customers' Choice vendors. How many reviews do they have? What's their [rating](/glossary/rating-and-ranking/)? That's your benchmark. --- ## How GPI Compares to PeerSpot and TrustRadius GPI is the only enterprise review platform whose data feeds into analyst research (Magic Quadrants). [PeerSpot](/guides/how-to-earn-peerspot-badges/) offers the deepest case-study-style reviews for security and IT. [TrustRadius](/guides/how-to-earn-trustradius-badges/) has the lowest barrier to entry with broader B2B coverage. Here's the full comparison: | Factor | Gartner Peer Insights | PeerSpot | TrustRadius | |--------|----------------------|----------|-------------| | **Focus** | Enterprise tech aligned to MQ/Market Guide markets | Enterprise tech (security, IT, cloud) | B2B tech (enterprise + midmarket) | | **Review style** | Structured ratings + prose (anonymous) | Long-form case studies (named reviewers) | Detailed reviews (named reviewers) | | **Reviewer identity** | Anonymous to public, verified by Gartner | LinkedIn-verified, public | Named, company disclosed | | **Recognition program** | Voice of the Customer (Customers' Choice) | Customer Choice Awards (Tech Leader, Rising Star) | Top Rated, Buyer's Choice | | **Cost to list** | Free | Free | Free | | **Cost to display badges** | Free (but strict compliance rules) | Free | Free | | **Review incentives** | $25 max; Gartner funds first $1,250 for new vendors | Platform-facilitated review collection (paid service) | Vendor-sourced; incentive use disclosed | | **Analyst integration** | Reviews feed into Magic Quadrant evaluations | Independent from analyst firms | Independent (now owned by HG Insights) | | **Badge compliance** | Pre-approval required; verbatim quotes only; specific disclaimer | Standard badge usage | Standard badge usage with guidelines | **The key difference:** GPI is the only review platform where your customer feedback directly influences analyst research. If your buyers check Magic Quadrants before purchasing, GPI reviews carry weight beyond the badge itself. **PeerSpot** is a strong alternative if you're in cybersecurity, IT infrastructure, or cloud — and if your customers can write detailed case-study-style reviews. PeerSpot reviews are public and named, which adds credibility. (See our [PeerSpot awards guide](/guides/how-to-earn-peerspot-badges/) for the full methodology.) **TrustRadius** is the most accessible of the three — it covers a broader range of B2B software, has transparent reviewer identities, and its Buyer's Choice award requires just 10 reviews with 75% positive sentiment across capabilities, value, and customer relationship. If you're evaluating where to start, TrustRadius has the lowest barrier to entry. **For [diversification](/blog/b2b-software-directories-ai-seo-strategy/):** Having reviews across multiple enterprise platforms means you're not dependent on one company's algorithm changes, pricing decisions, or review policies. GPI for analyst influence, PeerSpot for deep case studies, TrustRadius for broader reach — they complement each other. For a real-world example of this approach, see [how TeamViewer manages awards across 8+ review platforms](/blog/from-the-trenches-alvaro-padilla-teamviewer/). **For a review strategy framework:** Our [guide to handling software reviews strategically](/guides/how-to-handle-software-reviews/) covers response frameworks, timing considerations, and how to turn negative feedback into improvement signals across all platforms. --- ## How Voice of the Customer Works To qualify for Customers' Choice in 2026, you need 20+ eligible reviews from companies with $50M+ revenue within an 18-month window, with at least 15 ratings each for Capabilities and Support/Delivery. Your product must cover 50%+ of the capabilities Gartner defines for your market. Here's how the full system works. **A note on terminology:** GPI doesn't use "categories" like [G2](/guides/how-to-earn-g2-badges/) or Capterra. They use **markets** — and these aren't self-selected by vendors. Each [market](/glossary/market-gartner-peer-insights/) is defined by Gartner analysts and maps to a specific Magic Quadrant or Market Guide publication. The market definition includes which capabilities your product must cover (50%+ required to qualify) — a dynamic that [shapes what your software "is" in the eyes of buyers](/blog/who-decides-what-your-software-is/) — and markets get renamed, merged, or retired as Gartner's analyst research evolves. They also have their own individual publication schedules — not quarterly like everyone else. You'll see "market" throughout this guide where other platforms would say "category." We feel we deserve a badge just for decoding all of this. ### The Four Quadrants GPI's Voice of the Customer reports place products into four quadrants based on two axes: - **Customers' Choice** (upper-right) — Above market average on both Overall Experience AND User Interest & Adoption. - **Strong Performer** (upper-left) — High experience scores, but lower adoption metrics - **Established** (lower-right) — High adoption, but lower experience scores - **Aspiring** (lower-left) — Below market average on both axes Being included in a VOC report at all is hard — the review threshold is high given the nature of enterprise buyers, and reports cap at 25 vendors. Any quadrant means you're in the room. **Customers' Choice** is the badge that matters for marketing — it's the equivalent of [G2's Leader](/guides/how-to-get-ranked-on-g2/) or PeerSpot's Tech Leader. **Go deeper:** [Gartner Peer Insights Customers' Choice](/all-software-awards-and-badges/gartner-customers-choice/) and [Gartner Peer Insights Strong Performer](/all-software-awards-and-badges/gartner-strong-performer/) — what each placement signals to buyers and AI search, and how they differ. ### The Two Axes **Y-Axis: Overall Experience** A composite score of three elements: - Overall Rating - Capabilities rating - Support/Delivery rating **X-Axis: User Interest & Adoption** A composite score of three elements: - Review/consideration score (how reviews perform relative to the market) - Willingness to recommend - Market coverage (across industry, region, and company size) ### The June 2025 Methodology Shift Gartner updated the VOC methodology in June 2025 (v3.5). Reports published through May 2025 used the older approach; everything from June 2025 onward uses the updated version. The key changes: - **Adjusted weightings** for industry, company size, and region in the scoring model - **Vendor consideration frequency** is now incorporated into the User Interest & Adoption score (X-axis) — meaning how often buyers include you in their evaluation shortlist affects your positioning - **Segment views** (breakdowns by industry, company size, or region) are now exclusive to Interactive VOCs for reports after September 1, 2024. A market needs 5+ qualifying vendors and 400+ total reviews to get segment graphics The segment views change matters because segment placement can differ from your overall placement. A product that's Customers' Choice overall might be "Strong Performer" in the enterprise segment, or vice versa. If your buyers filter by segment, that's the quadrant they see. **What this means practically:** If you earned Customers' Choice before June 2025, your next evaluation uses different scoring. The fundamentals haven't changed (reviews, ratings, adoption still matter), but the weightings have shifted — particularly around how broadly your reviews represent different industries and company sizes. ### Inclusion Requirements To appear in a VOC report at all, your product needs: | Requirement | Details | What This Means | |-------------|---------|-----------------| | **20+ eligible reviews** | Within the 18-month evaluation window | Reviews older than 18 months don't count | | **15+ ratings for sub-categories** | Both Capabilities and Support/Delivery | Reviewers must rate these specific attributes, not just give an overall score | | **50%+ market capabilities** | Per Gartner's Magic Quadrant or Market Guide definition | Your product must cover at least half the capabilities Gartner defines for the market | | **Reviewer eligibility** | Organizations with $50M+ annual revenue | SMB reviews appear on your profile but are excluded from VOC calculations and Customers' Choice | | **First 6 months weighted 50%** | Reviews collected in your first 6 months on GPI count at half weight | Prevents review flooding immediately after listing | **Maximum 25 vendors per VOC document.** If more than 25 products qualify, only the top 25 are included. Segment views (by industry, company size, or region) may include different vendors. **Recognition is valid for 15 months** from the VOC publication date, or until the next VOC report for that market — whichever comes first. **Source:** [Voice of the Customer Methodology](https://gpivendorresources.gartner.com/en/articles/6746287-voice-of-the-customer-methodology) (v3.5, June 2025 — current methodology for all VOC reports published June 2025 onward) --- ## The VOC Publication Schedule (Decoded) Each GPI market has its own publication date, review eligibility window, and freeze period — there's no universal quarterly cycle. The official schedule is buried in a downloadable Excel file with four tabs and datetime-formatted dates. We decoded it. The official schedule lives in a downloadable Excel file with four tabs, datetime-formatted dates, and terminology that isn't explained until you find the "About" tab: **[Gartner Peer Insights VOC Calendar (Excel)](https://www.gartner.com/imagesrv/peer-insights/Gartner-Peer-Insights-Customers-Choice-Voice-of-the-Customer-tentative-calendar.xlsx)** We extracted all 58 markets with their review windows, freeze periods, and publication dates (originally pulled February 4, 2026). The Feb–June 2026 cycles below have all since published — treat the tables as a worked reference for how the cadence runs, and check the calendar file above for the markets currently in their review window. Consolidated into searchable tables so you don't have to decode the spreadsheet yourself. ### How to Read the Schedule Each market listing has five dates you need to understand: | Column | What It Means | Why It Matters | |--------|---------------|----------------| | **Review Eligibility Start** | Beginning of the 18-month review window | Reviews submitted before this date don't count | | **Review Eligibility End** | End of the 18-month window | Your hard deadline for collecting reviews | | **VoC Dashboard Live** | When Gartner starts showing preliminary data | You can see how you're tracking before publication | | **Freeze Period Start** | 2-3 months before eligibility ends — no new products added to the market | If you're not listed before this date, you're out for this round | | **Tentative Publication** | Expected VOC report publication month | "Tentative" is real — 92 schedule changes were tracked in 2025 alone | **The freeze period is the hidden deadline most vendors miss.** If you're not already listed in your GPI market before the freeze period starts, you cannot be added until after the VOC is published. For a February 2026 publication, freeze periods started as early as August 2025 — six months before the report comes out. ### February 2026 Markets (13 markets) — Published These VOCs have already published. Review windows are closed. If you're in one of these markets, the next round (typically ~18 months later) is your target — check the [calendar file](https://www.gartner.com/imagesrv/peer-insights/Gartner-Peer-Insights-Customers-Choice-Voice-of-the-Customer-tentative-calendar.xlsx) for the next review window start date. | Market | Review Window | Freeze Started | |--------|--------------|----------------| | Communications Platform as a Service | May 2024 – Oct 2025 | Aug 2025 | | Strategic Cloud Platform Services | Jun 2024 – Nov 2025 | Sep 2025 | | Finance and Accounting BPO | Jul 2024 – Dec 2025 | Sep 2025 | | Public Cloud IT Transformation Services | Jun 2024 – Nov 2025 | Sep 2025 | | SD-WAN | Jul 2024 – Dec 2025 | Oct 2025 | | DevOps Platforms | Jul 2024 – Dec 2025 | Oct 2025 | | Unified Communications as a Service | Jul 2024 – Dec 2025 | Oct 2025 | | Adaptive Project Management and Reporting | Jul 2024 – Dec 2025 | Oct 2025 | | Contact Center as a Service | Jul 2024 – Dec 2025 | Oct 2025 | | Employee Recognition and Reward Systems | Jul 2024 – Dec 2025 | Oct 2025 | | Multichannel Marketing Hubs | Jul 2024 – Dec 2025 | Oct 2025 | | Digital Adoption Platforms | Jul 2024 – Dec 2025 | Oct 2025 | | Backup and Data Protection Platforms | Jul 2024 – Dec 2025 | Oct 2025 | ### March 2026 Markets (14 markets) — Published; Review Windows Closed Jan 2026 | Market | Review Window | Freeze Started | |--------|--------------|----------------| | Software Asset Management Managed Services | Aug 2024 – Jan 2026 | Oct 2025 | | API Protection | Aug 2024 – Jan 2026 | Oct 2025 | | Corporate Learning Technologies | Aug 2024 – Jan 2026 | Nov 2025 | | API Management | Aug 2024 – Jan 2026 | Nov 2025 | | CRM Customer Engagement Center | Aug 2024 – Jan 2026 | Nov 2025 | | Security Information and Event Management | Aug 2024 – Jan 2026 | Nov 2025 | | Collaborative Work Management | Aug 2024 – Jan 2026 | Nov 2025 | | Cloud ERP for Product-Centric Enterprises | Aug 2024 – Jan 2026 | Nov 2025 | | Enterprise Architecture Tools | Aug 2024 – Jan 2026 | Nov 2025 | | Privileged Access Management | Aug 2024 – Jan 2026 | Nov 2025 | | Managed Detection and Response | Aug 2024 – Jan 2026 | Nov 2025 | | Identity Governance and Administration | Aug 2024 – Jan 2026 | Nov 2025 | | Application Security Testing | Aug 2024 – Jan 2026 | Nov 2025 | | Distributed Hybrid Infrastructure | Aug 2024 – Jan 2026 | Nov 2025 | ### April 2026 Markets (12 markets) — Published; Review Windows Closed Feb 2026 These 12 markets have published. Review windows closed February 28, 2026, so this round is locked. Check [gartner.com/reviews](https://www.gartner.com/reviews) for the results, and the calendar file for when each market's next review window opens. | Market | Review Window | Freeze Started | |--------|--------------|----------------| | Cloud Financial Management Tools | Sep 2024 – Feb 2026 | Oct 2025 | | Cloud ERP for Service-Centric Enterprises | Sep 2024 – Feb 2026 | Nov 2025 | | Access Management | Sep 2024 – Feb 2026 | Dec 2025 | | AI Code Assistants | Sep 2024 – Feb 2026 | Dec 2025 | | Cloud Database Management Systems | Sep 2024 – Feb 2026 | Dec 2025 | | Cyber Asset Attack Surface Management | Sep 2024 – Feb 2026 | Dec 2025 | | Email Marketing | Sep 2024 – Feb 2026 | Dec 2025 | | Enterprise Business Process Analysis Tools | Sep 2024 – Feb 2026 | Dec 2025 | | Contract Life Cycle Management | Sep 2024 – Feb 2026 | Dec 2025 | | Digital Commerce | Sep 2024 – Feb 2026 | Dec 2025 | | Outsourced Digital Workplace Services | Sep 2024 – Feb 2026 | Dec 2025 | | Intelligent Document Processing Solutions | Sep 2024 – Feb 2026 | Dec 2025 | ### May 2026 Markets (7 markets) — Published; Review Windows Closed Mar 2026 | Market | Review Window | Freeze Started | |--------|--------------|----------------| | Data Security Posture Management | Oct 2024 – Mar 2026 | Jan 2026 | | Data Integration Tools | Oct 2024 – Mar 2026 | Jan 2026 | | Metadata Management Solutions | Oct 2024 – Mar 2026 | Jan 2026 | | Email Security Platforms | Oct 2024 – Mar 2026 | Jan 2026 | | Visual Collaboration Applications | Oct 2024 – Mar 2026 | Jan 2026 | | AI Application Development Platforms | Oct 2024 – Mar 2026 | Jan 2026 | | Expense Management Software | Oct 2024 – Mar 2026 | Jan 2026 | ### June 2026 Markets (12 markets) — Published; Review Windows Closed Apr 2026 This cycle has published; its review windows closed at the end of April 2026 and its freeze period ran from February 2026. If you're in one of these markets, your next shot is the following round (typically ~18 months on) — check the calendar file for the next review-window start date. | Market | Review Window | Freeze Started | |--------|--------------|----------------| | Software Asset Management Tools | Nov 2024 – Apr 2026 | Feb 2026 | | Data and Analytics Governance Platforms | Nov 2024 – Apr 2026 | Feb 2026 | | Business Orchestration and Automation Technologies | Nov 2024 – Apr 2026 | Feb 2026 | | Source-to-Pay Suites | Nov 2024 – Apr 2026 | Feb 2026 | | Endpoint Management Tools | Nov 2024 – Apr 2026 | Feb 2026 | | Revenue Enablement Platforms | Nov 2024 – Apr 2026 | Feb 2026 | | Customer Data Platforms | Nov 2024 – Apr 2026 | Feb 2026 | | AI-Augmented Software Testing Tools | Nov 2024 – Apr 2026 | Feb 2026 | | Financial Planning Software | Nov 2024 – Apr 2026 | Feb 2026 | | Edge Distribution Platforms | Nov 2024 – Apr 2026 | Feb 2026 | | Configure, Price and Quote Applications | Nov 2024 – Apr 2026 | Feb 2026 | | Remote Desktop Software | Nov 2024 – Apr 2026 | Feb 2026 | ### One Market Skipping This Round **Digital Experience Services** — listed in the calendar with "No VoC publication in the current round." No explanation given. This happens occasionally when markets are being redefined or merged. ### Dates Shift — A Lot The archive tab in the calendar file tracks 92 schedule changes since January 2025. Markets routinely move 1-3 months later than originally planned (we didn't find any that moved earlier). The review eligibility window usually doesn't change when dates shift — just the publication date slides. Market names also change mid-cycle. Recent examples: - "Enterprise Backup and Recovery Software Solutions" → "Backup and Data Protection Platforms" - "Active Metadata Management" → "Metadata Management Solutions" - "Breach and Attack Simulation (BAS) Tools" + "Penetration Testing Tools" → merged into "Adversarial Exposure Validation" **What "tentative" really means:** Plan around these dates, but check the calendar monthly. Gartner updates the Excel file regularly (it was stamped March 3, 2026 when we pulled it in February 2026), though the downloadable file may lag 24-48 hours behind the vendor portal. **Source:** [VOC Publication Calendar (Excel)](https://www.gartner.com/imagesrv/peer-insights/Gartner-Peer-Insights-Customers-Choice-Voice-of-the-Customer-tentative-calendar.xlsx), stamped March 3, 2026 at our February 2026 pull --- ## Step-by-Step: Working Toward Customers' Choice Now that you understand the requirements, here are the five steps to work toward Customers' Choice: confirm your market exists, find your deadlines, set your review target, collect reviews, and monitor your positioning. ### Step 1: Confirm Your Market GPI organizes products into "markets" that align with Gartner's Magic Quadrant and Market Guide definitions. This is different from G2 or Capterra categories — GPI markets are analyst-defined. Visit [gartner.com/reviews](https://www.gartner.com/reviews) and search for your product or market. If your product isn't listed, you can [request to be added](https://gpivendorresources.gartner.com/en/articles/8212705-getting-listed-on-peer-insights). Listing approval takes approximately 8-10 business days. **If your category doesn't exist:** GPI only covers markets that have corresponding Magic Quadrant or Market Guide publications. If Gartner hasn't defined your market, GPI isn't an option right now. ### Step 2: Find Your Market's Deadlines Scroll up to the [VOC Publication Schedule](#the-voc-publication-schedule-decoded) and find your market. Note: - **Review eligibility end date** — this is your hard deadline for collecting reviews - **Freeze period start** — if you're not listed before this date, you're out for this round - **Review eligibility start** — reviews submitted before this date don't count If your market isn't in the February–June 2026 tables above, it either published previously (check the [Previous Published tab](https://www.gartner.com/imagesrv/peer-insights/Gartner-Peer-Insights-Customers-Choice-Voice-of-the-Customer-tentative-calendar.xlsx) in the calendar file) or publishes later in 2026/2027 (check the current version of the calendar — Gartner typically publishes the next cycle 2–3 months before the freeze period starts). The tables above were extracted February 2026; verify any specific market against the live calendar before planning. ### Step 3: Set Your Review Target **Minimum for inclusion:** 20 reviews, with 15+ ratings each for Capabilities and Support/Delivery. **For Customers' Choice:** You need to score above the market average on both axes. The more reviews you have (with strong ratings), the better your positioning. But 20 solid reviews is the floor — focus on quality first. ### Step 4: Collect Reviews **Who can review:** - Current users who deployed or upgraded in the past 18 months - People involved in the purchase, implementation, service management, or end use - Must be from organizations with $50M+ annual revenue - Must register with LinkedIn or company email **Who cannot review:** - Vendor employees or competitor employees - Exclusive partners, VARs, SIs, or consultants - Government/public sector employees - People from organizations under $50M revenue - Anyone on the OFAC sanctions list **Review incentives:** - Maximum $25 per review (FTC guidelines) - Gartner provides new vendors with $1,250 in free incentive funding (50 x $25 gift cards) - Vendor-funded incentives: up to $10,000 per market per year - Multi-incentive links let reviewers choose: $25 gift card, $25 charity donation, GPI Plus subscription, or no incentive For how GPI's incentive ceiling compares to G2, Capterra, and TrustRadius, and what the FTC's Fake Reviews Rule means if you run any outside program, see [safe B2B SaaS review collection](/guides/b2b-saas-review-collection-rules). **The cost reality:** The $1,250 in free incentives is generous — and it's often the starting point of a conversation about broader Gartner for Providers packages. The badge itself is free. But "Review as a Service" packages and GTP (Gartner for Technology Providers) seat-holder agreements are part of the ecosystem around it. The platform is free to use; the full vendor relationship can get expensive. Worth knowing before you start. **Note on INR gift cards:** Gartner suspended Indian Rupee gift card redemption in March 2025 due to improper use. If you have India-based enterprise customers, check whether this has been resolved before planning your [review campaign](/glossary/review-campaign/). **Review moderation:** Takes 3-10 business days. Incentives are distributed after the review is approved. **Source:** [Incentives FAQs](https://gpivendorresources.gartner.com/en/articles/6812506-incentives-faqs) ### Step 5: Monitor Your Position Check your product page on gartner.com/reviews regularly to see: - Total review count and average rating - Sub-ratings for Capabilities and Support/Delivery - How you compare to other products in your market **Note:** Gartner paused the Reply to Review feature in July 2025. You currently cannot respond to reviews on the platform. No timeline for restoration has been published. --- ## Marketing Compliance: Read This Before Using Your Badge GPI requires pre-approval for all marketing materials that reference Customers' Choice, allows only verbatim review quotes with attribution, mandates a specific disclaimer, and prohibits implying analyst endorsement. These are the strictest badge usage rules of any platform we've covered. ### The Rules | Rule | What It Means | |------|---------------| | **Pre-approval required** | Draft marketing materials using GPI recognition must be submitted for compliance review before publication | | **Verbatim quotes only** | You cannot paraphrase reviews. Quotes must be reproduced as published (ellipses to shorten may be permitted if meaning is preserved — check with Gartner's compliance team). Attribution must include reviewer's role and industry. | | **Badge sizing** | The Customers' Choice badge must not appear larger or more prominent than your company's own branding — your logo must be prominently displayed | | **No analyst endorsement implied** | Cannot suggest that Customers' Choice is equivalent to or endorsed by Gartner analysts | | **Specific disclaimer required** | All materials must include Gartner's full disclaimer text (see below) | | **Approved language** | Use "distinction" or "recognition" — never "award" | | **Most recent year only** | Can only reference the most recent VOC publication | | **Link required** | Must link to your GPI vendor page when using badges or logos | ### Required Disclaimer Text Every piece of marketing material that references GPI recognition must include this exact disclaimer: > "Gartner and Peer Insights are trademarks of Gartner, Inc. and/or its affiliates. All rights reserved. Gartner Peer Insights content consists of the opinions of individual end users based on their own experiences, and should not be construed as statements of fact, nor do they represent the views of Gartner or its affiliates." ### Approved vs. Prohibited Language | Approved | Prohibited | |----------|------------| | "Recognized as a Customers' Choice" | "Won the Customers' Choice Award" | | "Peer-recognized on Gartner Peer Insights" | "Gartner recommends our product" | | "Reviewed by customers on Gartner Peer Insights" | "Named a leader by Gartner" | | "Customers' Choice distinction" | "Gartner-endorsed solution" | **Why so strict?** Gartner protects the boundary between peer reviews and analyst research. Customers' Choice is based on user reviews, not analyst evaluation. Implying otherwise undermines both programs — and Gartner will enforce compliance. **Templates are available** in the Marketing Tools section of the [GPI vendor portal](https://www.gartner.com/peer-insights/vendor-portal/dashboard). Use them. **Source:** [Content Compliance Policy](https://gpivendorresources.gartner.com/en/articles/6831248-gartner-peer-insights-content-compliance-policy) --- ## How GPI Verifies Reviews GPI reviews are anonymous to the public but verified by Gartner through LinkedIn cross-referencing, employment confirmation, and role relevance checks. Reviewers must register with professional credentials and attest they're not vendor or competitor employees. Here's the full process: 1. **Professional identity** — Reviewers must register with LinkedIn or corporate email 2. **Employment verification** — Cross-referenced against LinkedIn profiles 3. **Recency** — Product must have been deployed/upgraded in the past 18 months 4. **Role relevance** — Reviewer must have been involved in purchase, implementation, service, or end use 5. **Balanced perspective** — Reviews are moderated for quality, relevance, and logical consistency between ratings and commentary 6. **Vendor employee exclusion** — Reviewers must attest they are not vendor or competitor employees **Anonymous by design:** Reviewers are verified by Gartner but their identity is hidden from the public and vendors. Buyers see role and company size (e.g., "IT Director at a Large Enterprise") but not the reviewer's name or company. This protects enterprise reviewers from vendor retaliation — a real concern when a CISO writes a critical review of a security vendor they still use. **The trade-off:** Anonymous reviews mean buyers can't independently verify who wrote them. PeerSpot and TrustRadius both show reviewer names and companies, which adds transparency. Gartner's position is that their [verification](/glossary/review-verification/) process is rigorous enough to compensate. **Reviews don't expire** — they remain readable on GPI indefinitely, but only reviews from the 18-month window count toward VOC placement. --- ## Quick Reference: The Numbers ### Customers' Choice (VOC) - Above market average on both Overall Experience and User Interest & Adoption - 20+ eligible reviews in 18-month window - 15+ ratings for Capabilities and Support/Delivery sub-categories - Products must cover 50%+ of market capabilities - Reviewers from organizations with $50M+ revenue - Max 25 vendors per VOC document - Recognition valid 15 months or until next VOC publication ### Review Incentives - $25 maximum per review (FTC) - Gartner-funded: $1,250 free for new vendors (50 x $25) - Vendor-funded: Up to $10,000 per market per year - Review moderation: 3-10 business days ### Marketing Compliance - Pre-approval required for all materials - Verbatim quotes only - Badge must not be larger or more prominent than vendor logo - Full disclaimer required - "Distinction" not "award" --- ## What We Don't Know GPI's documentation is more thorough than most platforms, but some gaps remain: - **Exact scoring formulas** — The five factors for each axis are listed, but how they're weighted or combined isn't published. We know what goes in, but not the math. - **"Market coverage" calculation** — One of the X-axis factors. Described as coverage across industry, region, and company size, but how it's measured isn't defined. - **The schedule only shows ~2 months ahead** — Gartner publishes the VOC calendar a couple of months out, so cycles past that window aren't listed yet. Re-check the calendar file each month for the markets entering their freeze and publication windows next. - **Why markets skip rounds** — Digital Experience Services is listed as "No VoC publication in the current round" with no explanation. We don't know how often this happens or why. - **Reply to Review timeline** — Paused since July 2025 with no published restoration date. Vendors cannot respond to negative reviews. - **INR gift card resolution** — Suspended March 2025. Unclear if restored. - **What happens at 20 reviews with insufficient sub-ratings** — If you have 20+ reviews but fewer than 15 rate Capabilities or Support/Delivery, are you excluded entirely or placed with caveats? - **Review age weighting within the 18-month window** — Are recent reviews weighted more heavily than older ones within the eligibility window? Some sources suggest reviews in the first 6 months of the window carry less weight, but we couldn't verify this in official documentation. - **Independent review campaigns vs. portal-managed incentives** — The $10,000/market/year cap applies to incentives managed through the GPI portal. Whether independently-run review campaigns (following FTC guidelines) count toward that cap, or are treated differently for VOC qualification, isn't clearly documented. If Gartner publishes more detailed methodology, we'll update this guide. If you are Gartner — reach out: [ceo@blastra.io](mailto:ceo@blastra.io). --- ## The Magic Quadrant Connection What makes GPI different from every other review platform: **your GPI reviews are used as inputs in [Magic Quadrant](/glossary/magic-quadrant/) evaluations.** For the vendor-side execution playbook on the MQ itself — Inclusion Criteria, the briefing process, the Customer Interest Indicator, marketing compliance — see our companion guide [How to Get Into the Gartner Magic Quadrant](/guides/how-to-get-into-gartner-magic-quadrant/). Gartner analysts use GPI data as one of several customer feedback inputs when evaluating vendors for Magic Quadrant and Market Guide publications — alongside RFI responses, briefing notes, and analyst-led reference calls. This means: - A strong GPI review profile doesn't just earn you a Customers' Choice badge — it's visible to the analysts evaluating your product - Negative reviews on GPI can influence how analysts perceive your customer experience - The quality and depth of your reviews matters beyond the numerical rating - GPI data alone won't determine your MQ position — but it's the only review platform that's part of the equation at all No other review platform has this kind of analyst integration. G2, PeerSpot, and TrustRadius reviews exist independently of analyst research. GPI reviews are part of the Gartner research ecosystem. **Note:** Following [G2's acquisition of Capterra, GetApp, and Software Advice](/blog/g2-acquires-capterra-gartner-digital-markets/), GPI is now Gartner's only remaining software review and directory property. That makes GPI's role in the Gartner ecosystem more focused — it exists to serve the research, not to compete as a standalone directory. **What this means practically:** If your buyers reference Magic Quadrants in their purchasing process (and in enterprise tech, many do), investing in GPI reviews has a compounding effect — badge recognition on GPI, plus analyst visibility in the MQ. This is also why Gartner is so strict about marketing compliance. They need to maintain clear boundaries between "what customers say" (GPI) and "what analysts conclude" (MQ) — even when the data flows between them. --- ## Source Documentation We reviewed every official source. Here's what to trust: ### Primary Sources (Dated, Reliable) | Source | Date | Notes | |--------|------|-------| | [Voice of the Customer Methodology](https://gpivendorresources.gartner.com/en/articles/6746287-voice-of-the-customer-methodology) | v3.5, June 2025 | Most detailed methodology document | | [Getting Listed on Peer Insights](https://gpivendorresources.gartner.com/en/articles/8212705-getting-listed-on-peer-insights) | Current | Listing process and eligibility | | [Incentives FAQs](https://gpivendorresources.gartner.com/en/articles/6812506-incentives-faqs) | Current | Review incentive program details | | [Content Compliance Policy](https://gpivendorresources.gartner.com/en/articles/6831248-gartner-peer-insights-content-compliance-policy) | Current | Marketing usage rules | | [INR Gift Card Changes](https://gpivendorresources.gartner.com/en/articles/10697804-important-update-changes-to-inr-gift-card-redemption-march-2025) | March 2025 | Incentive restriction detail | | [VOC Publication Calendar (Excel)](https://www.gartner.com/imagesrv/peer-insights/Gartner-Peer-Insights-Customers-Choice-Voice-of-the-Customer-tentative-calendar.xlsx) | Ongoing | Per-market schedule (tentative dates) | ### Secondary Sources (Useful Context) | Source | Notes | |--------|-------| | [Being Ranked #1 on PeerSpot](https://marketing.peerspot.com/being-ranked-1-on-peerspot-what-it-means-for-your-company/) | Competitor positioning — useful for comparison | | [GPI Vendor Resources Hub](https://gpivendorresources.gartner.com/en/) | Portal gateway — links to all vendor documentation | | [Listing Guidelines](https://www.gartner.com/reviews/listing-guidelines) | Additional listing detail | --- ## FAQ ### What is the difference between Gartner Peer Insights and Magic Quadrant? Gartner Peer Insights is a customer review platform; Magic Quadrant is analyst research. GPI collects verified enterprise user reviews, while MQ evaluates vendors on "Vision" and "Execution." The connection: GPI reviews feed into Magic Quadrant evaluations as one of several analyst inputs. For the full MQ vendor-execution playbook (Inclusion Criteria, briefing process, CII gate, reprint compliance), see [How to Get Into the Gartner Magic Quadrant](/guides/how-to-get-into-gartner-magic-quadrant/). ### How many reviews do I need for Gartner Customers' Choice? You need 20+ eligible reviews within an 18-month window. At least 15 reviews must include ratings for both Capabilities and Support/Delivery. All reviewers must be from organizations with $50M+ annual revenue. ### How long does Gartner Customers' Choice recognition last? Recognition lasts 15 months or until the next VOC report for your market — whichever comes first. After expiration, you must requalify in the next evaluation cycle. ### Is Gartner Peer Insights free? Yes. Listing and collecting reviews costs nothing. Gartner provides $1,250 in free review incentives for new vendors. Using Customers' Choice recognition requires following strict marketing compliance rules. ### How does Gartner verify reviews? Gartner verifies reviewers through LinkedIn cross-referencing, corporate email confirmation, and attestation that they're not vendor or competitor employees. Reviews appear anonymous to the public but are verified by Gartner. ### Can I respond to reviews on Gartner Peer Insights? No. Gartner paused the Reply to Review feature in July 2025 with no restoration date announced. Vendors cannot respond to reviews on-platform. --- ## Key Takeaways 1. **Enterprise only — for the badge.** Reviewers must be from organizations with $50M+ revenue to count toward VOC and Customers' Choice. Reviews from smaller companies still appear on your profile (useful for social proof and SEO), but they won't earn you a badge. If your customer base is primarily SMB or midmarket, [G2](/guides/how-to-earn-g2-badges/) or [Capterra](/guides/how-to-earn-capterra-badges/) will give you better ROI. 2. **20 reviews is the floor.** You need 20+ eligible reviews in an 18-month window just to appear in a VOC report. Plan your review campaign accordingly. 3. **The MQ connection is the differentiator.** GPI reviews influence Magic Quadrant evaluations. No other review platform has this. If your buyers reference Magic Quadrants, GPI reviews have compounding value. 4. **Gartner funds your first incentives.** New vendors receive $1,250 in free gift card funding (50 x $25). Use it — but note the $10,000/market/year cap for vendor-funded incentives after that. 5. **Strictest compliance rules of any platform.** Pre-approval for marketing materials, verbatim quotes only, specific disclaimer text, badge sizing rules. Read the compliance section before planning how you'll use recognition. 6. **Three enterprise platforms, three different strengths.** GPI for analyst influence, [PeerSpot](/guides/how-to-earn-peerspot-badges/) for deep case studies in security/IT/cloud, [TrustRadius](/guides/how-to-earn-trustradius-badges/) for broader reach with lower barriers. Diversifying across them means you're not dependent on any single platform. 7. **Find your market's deadlines above.** We extracted all 58 markets from Gartner's four-tab Excel calendar file in February 2026; the Feb–June 2026 cycles have all since published, so use those tables as a worked reference for how the cadence runs. For the markets currently open, verify against the live calendar — Gartner publishes each cycle 2–3 months before its freeze period, so it always shows the next windows about to close. 8. **Reply to Review is paused.** Since July 2025, vendors cannot respond to reviews on GPI. Factor this into your review strategy — you can't address negative feedback on-platform. If you can identify unhappy reviewers through context (role, industry, timing), consider having your Customer Success team reach out privately to resolve issues. --- ## Related Guides - [G2 Badges Guide: How to Earn Badges in 2026](/guides/how-to-earn-g2-badges/) — G2's grid methodology, review requirements, and paid plan considerations - [G2 Summer 2026 Reports: What the Numbers Mean for Vendors](/blog/g2-summer-2026-reports/) — The latest quarterly Grid data and what shifted this cycle - [What G2 Software Awards Teach Us About B2B Marketing](/blog/g2-best-software-awards-2026-stack-is-a-river/) — Analysis of the 2026 awards and what they reveal about the market - [Capterra Badges Guide: How to Earn Badges in 2026](/guides/how-to-earn-capterra-badges/) — Capterra's category-specific deadlines and 20-review targets - [Software Directories That Actually Reach Latin America](/blog/software-directories-latin-america/) — Regional directory coverage for vendors selling to LATAM buyers (relevant context for GPI's regional market expansions) - [Trustpilot Guide: How TrustScore Recognition Works](/guides/how-trustpilot-recognition-works/) — B2B SaaS guide to Trustpilot's recognition program - [PeerSpot Badges Guide: How to Earn Awards in 2026](/guides/how-to-earn-peerspot-badges/) — Enterprise tech focus, quarterly awards, 5-factor ranking methodology - [TrustRadius Badges Guide: How to Earn Awards in 2026](/guides/how-to-earn-trustradius-badges/) — trScore methodology, free badge usage, annual schedule - [SourceForge Badges Guide: How to Earn Badges in 2026](/guides/how-to-earn-sourceforge-badges/) — SourceForge's top 5%/10% thresholds and seasonal awards - [How to Get G2 & Capterra Reviews](/guides/how-to-get-g2-capterra-reviews/) — Review collection best practices that apply across platforms - [How to Get Ranked on G2](/guides/how-to-get-ranked-on-g2/) — Understanding G2's Grid positioning - [How SoftwareReviews Awards Work](/guides/how-softwarereviews-awards-work/) — Data Quadrant + Emotional Footprint, 130-data-point surveys, free badge display --- ## About This Guide This guide was created by [Blastra](/), a [SaaS listings management](/glossary/software-listings-management/) platform. We help software companies manage their third-party [visibility posture](/glossary/visibility-posture/) across [directories](/directories/) like G2, Capterra, and SourceForge. Gartner Peer Insights has thorough vendor documentation, but it's spread across multiple pages in their vendor resources portal. So we organized it. **Note:** Blastra does not currently support Gartner Peer Insights in our directory submission service. This guide is for vendors managing their GPI presence directly. If you want us to manage your GPI listings, reach out at [ceo@blastra.io](mailto:ceo@blastra.io). --- *This guide reflects publicly available methodology documentation as of February 2026, with schedule framing updated July 2026 after the February–June 2026 publication cycles completed. The market tables are a worked reference for the cadence, not a live deadline list. Gartner may update their programs. Verify against official sources — especially the [VOC calendar file](https://www.gartner.com/imagesrv/peer-insights/Gartner-Peer-Insights-Customers-Choice-Voice-of-the-Customer-tentative-calendar.xlsx) — for the markets currently open and the most current requirements.* --- --- # TrustRadius Badges 2026: How to Earn Top Rated & Buyer's Choice URL: https://blastra.io/guides/how-to-earn-trustradius-badges/ Description: TrustRadius badges guide for 2026: 5 badge types, trScore methodology, free badge usage, annual schedule. Top Rated and Buyer's Choice awards explained. ## TL;DR TrustRadius has five badge types, but two matter most for SaaS companies: **Top Rated** (flagship annual award — 10+ reviews, trScore 7.5+, 0.5% category traffic) and **Buyer's Choice** (75% of reviewers rate you best in capabilities, value, AND relationship). The 2026 Top Rated review window closed **April 26, 2026**; winners were announced **June 10, 2026** (reviews collected now count toward the next Top Rated cycle). For Buyer's Choice, reviews collected January 1 through September 26, 2026 count toward the **2027** award (yes, the naming is confusing — more on that below). The genuinely good news: TrustRadius lets you use all award [badges](/glossary/badge/) for free in your marketing materials. No $2,999/year display fee like G2. That alone makes this platform worth your attention. --- ## Why We Wrote This Guide TrustRadius has a well-documented awards program — better than most [directories](/glossary/software-directory/), actually. Their [scoring FAQ](https://www.trustradius.com/static/about-trustradius-scoring) is clear, the [awards calendar](https://solutions.trustradius.com/vendor-blog/awards-calendar/) lists deadlines, and the Freshdesk help articles explain each award type. So why does this guide exist? Because the information is spread across at least five different pages on two different domains (trustradius.com and solutions.trustradius.com), some pages reference deadlines from previous years, and the transition from Best Of to Buyer's Choice requires reading across multiple blog posts and press releases to piece together. We found everything, organized it into one place, noted the inconsistencies, and added the context TrustRadius doesn't provide — like how their awards compare to G2 and Capterra, and what the [trScore](/glossary/rating-and-ranking/) methodology actually means for your strategy. --- ## The Five TrustRadius Badge Types TrustRadius currently runs five recognition programs. Here's the quick view: | Badge | What It Recognizes | Based On | Frequency | Cost to Display | |-------|-------------------|----------|-----------|-----------------| | **Top Rated** | Excellent customer satisfaction | Reviews + trScore + traffic | Annual | Free (off-site); premium profile (on-site) | | **Buyer's Choice** | Best in capabilities, value, and relationship | Reviewer ratings across 3 dimensions | Annual | Free (off-site); premium profile (on-site) | | **Trusted Seller** | Ethical review practices and profile maintenance | Application + verification | Bi-annual | Free — pill-shaped badge on listing | | **Customer Verified** | Active review presence | 10+ reviews in past 12 months | Ongoing | Automatic on profile | | **Tech Cares** | Corporate social responsibility | Nominations | Annual | Free | **Which should you target?** Top Rated and Buyer's Choice are the two review-based awards that signal product quality to [buyers](/glossary/buyer/). Trusted Seller is worth pursuing in parallel — it's an application process, not a competition. Customer Verified happens automatically once you hit 10 recent [reviews](/glossary/user-reviews/). Tech Cares is a completely different program focused on CSR, not product quality. Now let's look at each one. --- ## Top Rated Award This is TrustRadius's flagship recognition. Winners are chosen entirely from review data — no analyst opinions, no paid placements. In 2025, 442 products won across 562 [categories](/glossary/categories/). Top Rated products get prominently showcased on category pages throughout the year. **Go deeper:** [TrustRadius Top Rated](/all-software-awards-and-badges/trustradius-top-rated/) — what the award signals to buyers and AI search, and how to position it in your marketing. ### How to Qualify Three criteria, all of which must be met at the time awards are evaluated: | Criterion | Requirement | What This Means | |-----------|------------|-----------------| | **Recency** | 10+ new or updated reviews in the past 12 months | Reviews older than 12 months don't count. You need ongoing review collection, not a one-time push. | | **Rating** | trScore of 7.5+ (at least 4 stars) | trScore is a weighted average, not a simple average — more on how this works below. | | **Relevance** | At least 0.5% of traffic volume in your category | Your product page needs to attract real visitor traffic. This prevents ghost listings from winning. | ### 2026 Deadlines - **Review submission deadline:** April 26, 2026 (closed) - **Public announcement:** June 10, 2026 Reviews submitted after April 26 don't count toward the 2026 award — they contribute to 2027. **Source:** [TrustRadius Awards Calendar](https://solutions.trustradius.com/vendor-blog/awards-calendar/) (November 26, 2025) --- ## Buyer's Choice Award Where Top Rated measures overall satisfaction, Buyer's Choice measures something more specific: do your reviewers think you're the *best* across three dimensions? ### How to Qualify | Criterion | Requirement | What This Means | |-----------|------------|-----------------| | **Review count** | 10+ reviews during the specified timeframe | Not all-time reviews — only those collected in the qualifying window | | **Best Capabilities** | 75% of reviewers rate you best | Reviewers actively select your product as best in feature set | | **Best Value for Price** | 75% of reviewers rate you best | Reviewers judge your pricing against what they get | | **Best Relationship** | 75% of reviewers rate you best | Based on "Would Buy Again," "Implementation Expectations," and "Sales and Marketing Promises" | That 75% threshold across all three dimensions is a high bar. It means nearly every reviewer needs to say you deliver on capabilities, value, *and* [vendor](/glossary/vendor/) relationship. In 2026, 368 products earned the badge — which sounds like a lot until you consider TrustRadius covers 800+ categories with tens of thousands of listed products. **Go deeper:** [TrustRadius Buyer's Choice](/all-software-awards-and-badges/trustradius-buyers-choice/) — how the 75% threshold compares to other directory awards, and why the year-naming offset trips up so many vendors. ### The Naming Confusion Here's something that trips people up: the **2026 Buyer's Choice** was already announced on November 18, 2025. If you're reading this in early 2026, that ship has sailed. What you can work toward now is the **2027 Buyer's Choice**: - **Review collection window:** January 1, 2026 – September 26, 2026 - **Public announcement:** October 27, 2026 The award is named for the year it's announced in, but the review collection window runs through the previous calendar year. So "2027 Buyer's Choice" means reviews collected in 2026, announced in late 2026 but branded as 2027. **Source:** [TrustRadius Awards Calendar](https://solutions.trustradius.com/vendor-blog/awards-calendar/) --- ## Trusted Seller Program This isn't a competitive award — it's a verification program. Formerly called the TRUE program, Trusted [Seller](/glossary/seller/) recognizes vendors who follow ethical review collection practices. Recipients get a pill-shaped badge at the top of their product [listing](/glossary/listing-or-profile/), plus promotion in a TrustRadius press release and media kit. ### How to Qualify This is an application process. You fill out a [form](https://www.surveymonkey.com/r/trusted_seller) (~10 minutes) and TrustRadius verifies that you: - Source at least 10 reviews per year with up-to-date product feedback - Disclose your review sourcing methodology and any use of incentives - Provide equal opportunity for all product users to share honest feedback (no cherry-picking promoters) - Read and respond to published reviews - Keep your product profile current with accurate information ### 2026 Deadlines - **First window (closed):** Application deadline February 13, 2026; announcement March 17, 2026 - **Second window:** Runs bi-annually, so there should be a second 2026 application window. TrustRadius hadn't published the specific date as of April 2026 — check the [awards calendar](https://solutions.trustradius.com/vendor-blog/awards-calendar/) for current status. **Why this matters beyond the badge:** Trusted Seller aligns with [FTC guidelines](https://solutions.trustradius.com/vendor-blog/the-ftcs-crackdown-on-fake-reviews-what-businesses-need-to-know/) on authentic reviews. As regulators pay more attention to [incentivized reviews](/glossary/incentivized-reviews/) and review gating, having a third-party verification of your practices has real value. For the cross-platform rules and the FTC's civil-penalty exposure, see [safe B2B SaaS review collection](/guides/b2b-saas-review-collection-rules). **Source:** [TrustRadius Trusted Seller Program](https://solutions.trustradius.com/vendor-blog/get-verified-on-trustradius-with-the-trusted-seller-program/) --- ## Customer Verified Badge The simplest badge to understand: if your product has 10+ reviews from the past 12 months, it gets a Customer Verified badge. This isn't something you apply for or win — it appears (and disappears) automatically based on your review activity. Think of it as the baseline. If you don't have Customer Verified status, you don't have enough recent reviews to be taken seriously on the platform. If you do have it, you're meeting the same review count threshold needed for Top Rated and Buyer's Choice (though those awards have additional criteria). **Source:** [About TrustRadius Scoring](https://www.trustradius.com/static/about-trustradius-scoring#question3) --- ## Tech Cares Award This is the outlier in the awards lineup. Tech Cares isn't based on reviews or product quality — it recognizes B2B technology companies demonstrating exceptional corporate social responsibility. ### Focus Areas - Sustainability and the environment - Volunteerism - Diversity, equity, and inclusion - Community impact - Employee well-being and development - Support for women in technology - Education support ### 2026 Deadlines - **Nomination deadline:** August 12, 2026 - **Public announcement:** September 1, 2026 Companies can nominate themselves or be nominated by others. If your company has strong CSR programs, it's worth submitting — but this is a brand-building exercise, not a product marketing one. **Source:** [TrustRadius Awards Calendar](https://solutions.trustradius.com/vendor-blog/awards-calendar/) --- ## How trScore Works Understanding TrustRadius's scoring algorithm matters because it directly affects your Top Rated eligibility. TrustRadius doesn't use simple averages — they use a proprietary weighted algorithm called trScore. ### Why This Matters Most [review platforms](/glossary/review-platform/) calculate ratings as simple averages: add up all ratings, divide by number of reviews. TrustRadius identified two problems with this approach: **Problem 1: Old reviews drag down (or inflate) current scores.** Products change quickly. A score heavily influenced by reviews from three years ago doesn't reflect what the product is like today. **Problem 2: Vendors can game simple averages.** If you only invite your happiest customers to leave reviews, a simple average will be artificially high. TrustRadius calls this "biased sampling." ### How trScore Addresses This The algorithm applies three types of weighting: | Weight Factor | What It Does | Why It Matters for You | |---------------|-------------|----------------------| | **Recency** | Recent reviews count more than older ones | A burst of great reviews now will move your score faster than the same number would on a simple-average platform | | **Sample bias correction** | Reviews from representative samples weigh more than cherry-picked ones | If you only invite promoters, those reviews get downweighted. Counterintuitive, but it rewards honest review collection. | | **Review depth** | In-depth reviews weigh more than quick star ratings | Encouraging customers to write detailed reviews helps your score more than collecting lots of brief ratings | This is the most sophisticated scoring approach we've seen across directories. G2 uses its own proprietary algorithm for the Grid, but TrustRadius is unusually transparent about what the weighting actually does. **The strategic implication:** Don't just chase review volume. Collect reviews from a representative cross-section of customers, encourage detailed write-ups, and maintain a steady cadence rather than one big campaign push. **Source:** [About TrustRadius Scoring](https://www.trustradius.com/static/about-trustradius-scoring#question1) (methodology page — undated, but referenced from multiple 2024/2025 articles) --- ## The 2026 Awards Schedule Here's every deadline for the current cycle: | Award | Deadline | Announcement | What to Do | |-------|----------|-------------|------------| | **Trusted Seller** (first 2026 window — closed) | Feb 13, 2026 | Mar 17, 2026 | Closed. Second 2026 window expected (bi-annual); date TBD — check the [awards calendar](https://solutions.trustradius.com/vendor-blog/awards-calendar/) | | **Top Rated** (review window closed) | Apr 26, 2026 | Jun 10, 2026 | Submission deadline passed; winners announced **Jun 10, 2026**. Reviews now count toward the 2027 cycle. | | **Tech Cares** | Aug 12, 2026 | Sep 1, 2026 | Submit CSR nomination | | **Buyer's Choice (2027)** | Sep 26, 2026 | Oct 27, 2026 | Collect 10+ reviews Jan–Sep 2026 with strong ratings across all 3 dimensions | **Note:** The 2026 Buyer's Choice was already announced November 18, 2025. The next Buyer's Choice you can work toward is the 2027 cycle (reviews collected in 2026). --- ## Step-by-Step: Working Toward a Badge ### Step 1: Claim and Optimize Your Profile If you haven't already, [claim your product profile](https://solutions.trustradius.com/claim-your-profile/) on TrustRadius. Update it to their "[gold standard](https://www.trustradius.com/vendor-blog/improving-product-profile-guide)" — accurate product information, current screenshots, pricing details, and complete feature descriptions. This matters for two reasons: profile completeness affects how your product sorts in category pages, and the 0.5% traffic requirement for Top Rated means your page needs to attract visitors. ### Step 2: Check Your Current Position Log into your [vendor portal](https://vendor.trustradius.com/) and check the awards overview. You can see your current review count, trScore, and traffic share within your category. This tells you exactly how close (or far) you are from each award's thresholds. ### Step 3: Run a Review Campaign Running a [review campaign](/glossary/review-campaign/) for TrustRadius follows the same principle across all directories: reach out to customers who've used your product recently and ask them to share their experience. **Who can review:** Current or recent users who can verify their identity through the TrustRadius platform. **What makes TrustRadius different:** The trScore algorithm downweights reviews from biased samples. If you only invite your most enthusiastic customers, those reviews will carry less scoring weight than reviews from a representative cross-section of your user base. This is unusual among directories and worth understanding before you design your campaign. **For Buyer's Choice specifically:** Reviewers need to rate you best in capabilities, value, AND relationship. This means targeting customers who are genuinely satisfied across all three dimensions — not just those who love your features but had a rough implementation. ### Step 4: Apply for Trusted Seller (If Eligible) If you're already collecting reviews ethically and maintaining your profile, Trusted Seller [verification](/glossary/review-verification/) is low-hanging fruit. It's an application process, not a competition — you don't need to beat anyone, just demonstrate good practices. ### Step 5: Drive Traffic to Your Profile The 0.5% category traffic requirement for Top Rated means your TrustRadius page needs visitors. You can influence this by linking to your TrustRadius profile from your website, including it in marketing materials, and directing prospects there for independent research. --- ## Free Badge Usage: The Good News Here's where TrustRadius stands out from the competition: **all award badges can be used for free** across your marketing channels. No annual licensing fee. No premium tier required for off-site usage. TrustRadius explicitly lists where you can use badges: - Your website - Social media - Press releases - Landing pages - Emails - Sales collateral - Lead generation campaigns - Videos - Even billboards (their word, not ours) **The one caveat:** Award badges appear on your TrustRadius product page only if you have a premium profile subscription. So the badge is free to use in your own marketing, but displaying it on TrustRadius itself is gated behind their paid tier. **Why this matters:** On G2, even displaying badges on your own site requires a paid plan starting at $2,999/year. TrustRadius's approach is significantly more vendor-friendly for companies that want to use their earned recognition without a recurring platform fee. --- ## What Happened to Best Of and Most Loved? ### Best Of Awards → Replaced by Buyer's Choice The Best Of Awards (Best Feature Set, Best Value for Price, Best Relationship) were last awarded in November 2023. They were officially replaced by the Buyer's Choice Awards, which TrustRadius [announced in June 2024](https://solutions.trustradius.com/vendor-blog/new-buyers-choice-award/) as "an update to our awards program." CEO Vinay Bhagat explained the goal was to "have fewer awards to make it easier for buyers" — consolidating three separate Best Of badges into the single Buyer's Choice badge that requires 75% of reviewers to rate favorably across all three dimensions (capabilities, value, AND relationship). The inaugural 2025 Buyer's Choice winners were [announced October 29, 2024](https://www.prnewswire.com/news-releases/trustradius-announces-inaugural-2025-buyers-choice-award-winners-302289339.html). The press release explicitly describes Buyer's Choice as "formerly known as Best of Awards." **Go deeper:** [TrustRadius Best Of](/all-software-awards-and-badges/trustradius-best-of/) (discontinued — now Buyer's Choice) — a historical record of the three-badge format and what changed when TrustRadius consolidated them. ### Most Loved Award Last documented in 2024. This Valentine's-themed award recognized the top 100 products with the highest ratio of "love" mentions per review, calculated using formulas called "loveCount," "loveDensity," and "lovePercentile." In 2023, TrustRadius analyzed almost 30,000 reviews to select winners. The [Freshdesk help article](https://trustradius.freshdesk.com/support/solutions/articles/43000685419-most-loved-award) still exists, but the award doesn't appear on the 2026 calendar. ### What this means TrustRadius deliberately streamlined their awards program — before the HG Insights acquisition in June 2025 — from overlapping badge types to a cleaner lineup: two review-based awards (Top Rated and Buyer's Choice), one verification program (Trusted Seller), and one CSR recognition (Tech Cares). The Buyer's Choice is a stricter, consolidated successor to Best Of. If you previously won a Best Of award, those badges are now superseded. The Most Loved award, which isn't on the 2026 calendar either, appears to have been quietly retired without a public announcement — unlike Best Of, which had a clear transition. --- ## How TrustRadius Compares to G2 and Capterra If you're deciding where to invest your review campaign effort, here's how TrustRadius stacks up: | Factor | TrustRadius | G2 | Capterra | |--------|------------|----|---------| | **Categories covered** | 800+ | 2,000+ | 1,000+ | | **Scoring method** | trScore (weighted average) | Proprietary Grid (satisfaction + market presence) | Multiple badge-specific criteria | | **Minimum reviews for flagship award** | 10 (Top Rated) | Varies by category (Grid placement) | 20 (Shortlist badges) | | **Award frequency** | Annual | Quarterly | Varies by category | | **Badge display cost (your site)** | Free | Requires paid plan ($2,999+/year) | Free | | **Badge display cost (their site)** | Premium profile required | Included in paid plan | Free on profile | | **Review verification** | Identity verification at sign-up | Email verification | Email verification | | **Key differentiator** | Bias-corrected scoring, free badge usage | Largest review volume, widest AI citation reach | Fixed thresholds, predictable badge system | **The TrustRadius advantage:** Free badge usage and the most transparent, anti-manipulation scoring methodology we've seen. If your priority is earning recognition you can actually use without paying a platform fee, TrustRadius is the strongest option. **The TrustRadius trade-off:** Smaller buyer audience than G2, annual awards cycle means slower feedback loop, and the 0.5% traffic threshold creates a barrier for products in crowded categories with low organic visibility. **For diversification:** Having badges from multiple platforms means you're not dependent on one company's pricing decisions, policy changes, or algorithm updates. A TrustRadius Top Rated badge alongside G2 and Capterra recognition gives you coverage across the three largest general-purpose software directories. (See [Why Software Directories Matter for AI Search](/blog/b2b-software-directories-ai-seo-strategy/).) TeamViewer takes this further — [earning awards across 8+ platforms](/blog/from-the-trenches-alvaro-padilla-teamviewer/) including TrustRadius's 2026 Buyer's Choice recognition. --- ## What We Don't Know TrustRadius is more transparent than most directories about methodology, but some questions remain: - **Exact trScore formula** — We know the three weighting factors (recency, bias correction, depth) but not the specific math. How much does a 2-year-old review get downweighted versus a 2-month-old one? - **Traffic measurement details** — The 0.5% category traffic threshold is clear as a number, but how is traffic measured? Unique visitors? Page views? Over what time period? - **Premium profile pricing** — TrustRadius doesn't publish pricing publicly. You need to book a demo to get a quote. This matters because on-site badge display requires a premium profile. - **Most Loved status** — No announcement about whether this is permanently retired or paused. Best Of was officially replaced by Buyer's Choice. - **Trusted Seller second window** — The program is described as "bi-annual" but only the February 2026 deadline is published. When is the second application window? If TrustRadius publishes more detailed methodology or updates their awards program, we'll update this guide. --- ## Source Documentation We reviewed every official source. Here's what to trust: ### Primary Sources (Dated, Reliable) | Source | Date | Notes | |--------|------|-------| | [TrustRadius Awards Calendar](https://solutions.trustradius.com/vendor-blog/awards-calendar/) | Nov 26, 2025 | Current deadlines for all 2026 awards | | [About TrustRadius Scoring](https://www.trustradius.com/static/about-trustradius-scoring) | Undated | Comprehensive methodology FAQ | | [Top Rated Award (Freshdesk)](https://trustradius.freshdesk.com/support/solutions/articles/43000685409-top-rated-award) | Dec 10, 2024 | Use Awards Calendar for current dates | | [Buyer's Choice Award (Freshdesk)](https://trustradius.freshdesk.com/support/solutions/articles/43000685418-buyer-s-choice-awards) | Aug 26, 2025 | Criteria details | | [2025 Top Rated Winners](https://solutions.trustradius.com/vendor-blog/2025-top-rated-winners-blog/) | 2025 | 442 products across 562 categories | | [2026 Buyer's Choice Winners](https://www.prnewswire.com/news-releases/trustradius-announces-368-products-earn-2026-buyers-choice-awards-302617053.html) | Nov 18, 2025 | 368 winning products | | [Announcing Buyer's Choice Award](https://solutions.trustradius.com/vendor-blog/new-buyers-choice-award/) | Jun 28, 2024 | "An update to our awards program" — explains Best Of → Buyer's Choice transition | | [Inaugural 2025 Buyer's Choice Winners](https://www.prnewswire.com/news-releases/trustradius-announces-inaugural-2025-buyers-choice-award-winners-302289339.html) | Oct 29, 2024 | Describes Buyer's Choice as "formerly known as Best of Awards" | | [Awards Page](https://solutions.trustradius.com/awards/) | Current | Still references legacy Best Of copy in marketing text | ### Secondary Sources (Useful Context) | Source | Notes | |--------|-------| | [HG Insights Acquires TrustRadius](https://solutions.trustradius.com/vendor-blog/hg-insights-acquires-trustradius/) | June 19, 2025 acquisition context | | [Most Loved Award (Freshdesk)](https://trustradius.freshdesk.com/support/solutions/articles/43000685419-most-loved-award) | Help article exists; not on 2026 calendar | | [2024 Top Rated Winners](https://solutions.trustradius.com/vendor-blog/2024-top-rated-awards/) | Previous year methodology context | --- ## FAQ ### What is the difference between TrustRadius Top Rated and Buyer's Choice awards? Top Rated measures overall satisfaction (10+ reviews, trScore 7.5+, 0.5% traffic). Buyer's Choice is stricter: 75% of reviewers must rate you best in capabilities, value, AND relationship. Top Rated announces in June; Buyer's Choice in late October. ### How long does it take to earn a TrustRadius badge? Customer Verified appears automatically at 10 reviews. Top Rated and Buyer's Choice are annual awards with fixed deadlines (April 26 and September 26, 2026). Plan 3-6 months of review collection to reach the 10-review minimum. ### Can I display TrustRadius badges for free? Yes — on your own website and marketing materials. TrustRadius allows free badge use across websites, social media, emails, and sales collateral. Only on-site badge display requires a premium profile. ### How does TrustRadius trScore compare to G2's rating system? trScore weights reviews by recency, sample bias, and depth — penalizing cherry-picked reviews. G2 uses an undisclosed proprietary algorithm. TrustRadius is more transparent about methodology. ### Is TrustRadius worth it compared to G2 and Capterra? TrustRadius offers free badge usage (G2 charges $2,999+/year) and transparent anti-manipulation scoring. Trade-offs: smaller audience, annual awards, and challenging traffic requirements. Most SaaS companies benefit from presence on all three platforms. --- ## Key Takeaways 1. **Target Top Rated first.** 10+ reviews, trScore 7.5+, 0.5% category traffic. Deadline: April 26, 2026. 2. **Free badge usage is the key differentiator.** No $2,999/year fee like G2. Use badges anywhere in your marketing. 3. **10 reviews is the minimum for everything.** Customer Verified, Top Rated, Buyer's Choice, Trusted Seller — all require it. 4. **Don't cherry-pick reviewers.** trScore downweights biased samples. Invite a representative cross-section. 5. **Buyer's Choice 2026 already happened.** You're working toward 2027 now (reviews Jan–Sep 2026). 6. **Apply for Trusted Seller by Feb 13, 2026.** It's an application, not a competition — low-hanging fruit. 7. **Best Of was replaced by Buyer's Choice.** TrustRadius announced the transition in June 2024 — consolidating three badges into one with a higher bar. Most Loved was quietly dropped from the 2026 calendar. 8. **HG Insights acquired TrustRadius in June 2025.** Awards program unchanged so far. --- ## Related Guides - [G2 Badges Guide: How to Earn Badges in 2026](/guides/how-to-earn-g2-badges/) — G2's grid methodology, review requirements, and paid plan considerations - [Capterra Badges Guide: How to Earn Badges in 2026](/guides/how-to-earn-capterra-badges/) — Capterra's category-specific deadlines and 20-review targets - [PeerSpot Badges Guide: How to Earn Awards in 2026](/guides/how-to-earn-peerspot-badges/) — Enterprise tech focus, quarterly awards, 5-factor ranking methodology - [SourceForge Badges Guide: How to Earn Badges in 2026](/guides/how-to-earn-sourceforge-badges/) — SourceForge's top 5%/10% thresholds and seasonal awards - [How to Get G2 & Capterra Reviews](/guides/how-to-get-g2-capterra-reviews/) — Review collection best practices that apply across platforms - [How SoftwareReviews Awards Work](/guides/how-softwarereviews-awards-work/) — Data Quadrant + Emotional Footprint, 130-data-point surveys, free badge display --- ## About This Guide This guide was created by [Blastra](/), a [SaaS listings management](/glossary/software-listings-management/) platform. We help software companies manage their third-party visibility posture across directories like G2, Capterra, TrustRadius, and [30+ other platforms](/directories/). TrustRadius's awards documentation is better organized than most directories, but still scattered across multiple pages with some outdated references. So we organized it. --- *This guide reflects publicly available methodology documentation as of February 2026. TrustRadius may update their programs — verify against official sources for the most current requirements.* --- --- # PeerSpot Badges Guide: How to Earn Awards in 2026 URL: https://blastra.io/guides/how-to-earn-peerspot-badges/ Description: PeerSpot awards guide for 2026: quarterly schedule, 5 ranking factors, enterprise tech focus. Tech Leader, Rising Star, and Monthly Leader badges explained. ## TL;DR PeerSpot runs quarterly Customer Choice Awards for enterprise technology products, with two main [badge](/glossary/badge/) types: **Tech Leader** (top 3 products per category) and **Rising Star** (fastest-growing newcomers). Q1 and Q2 2026 winners are now live on PeerSpot's [Customer Choice Awards microsite](https://customerchoiceawards.peerspot.com/). The next cutoff is **September 25, 2026** for Q3 IT, infrastructure, and enterprise HR categories (winners announced October 22). Rankings are based on five factors: average rating, review count, words per review, comparisons, and page views. Unlike G2, Capterra, and SourceForge — which cover more SMB and midmarket buyers across the full software spectrum — PeerSpot focuses exclusively on enterprise tech. So if you're in cybersecurity, IT infrastructure, or cloud for enterprise, this is a platform worth prioritizing. Although we'd say: prioritize with caution. It's a serious commitment, and we have some interesting questions after researching their awards program. More on that below. --- ## Should You Prioritize PeerSpot? Before diving into the methodology, here's our assessment of whether PeerSpot awards are worth pursuing for your situation. **PeerSpot is probably worth it if:** - You sell to enterprise buyers (500+ employees) in security, IT, or cloud - Your customers are technical practitioners (CISOs, IT directors, architects) who can write detailed [reviews](/glossary/user-reviews/) - You have at least 10-20 enterprise customers willing to spend 15-30 minutes on a review - You're already getting organic traffic or mentions on PeerSpot - You're prepared for a 12-month commitment (Tech Leader uses rolling averages) **PeerSpot is probably not worth it if:** - You sell primarily to SMB or midmarket (G2 and Capterra have more [buyers](/glossary/buyer/) in those segments) - Your [category](/glossary/categories/) isn't covered (PeerSpot focuses on enterprise tech — no marketing software, no HR tools beyond enterprise) - You need quick wins (this is a long game compared to [Capterra badges](/guides/how-to-earn-capterra-badges/)) - You can't invest in their paid review collection services (organic collection is very difficult here) **The math:** Tech Leader goes to the top 3 products per category. If you're in a category like SIEM or EDR, you're competing against products with hundreds of reviews from companies with dedicated analyst relations teams. If you're in a smaller niche category, your odds improve significantly — but check if there are even 5 products with 8+ reviews (the minimum for a category to be eligible). **Start here:** Visit [peerspot.com](https://www.peerspot.com), find your category, and look at the current top 3. How many reviews do they have? What's their [rating](/glossary/rating-and-ranking/)? That's your benchmark. --- ## How PeerSpot Compares to G2 and Capterra Now that you're weighing whether PeerSpot fits your situation, here's how it stacks up against the platforms you're probably already considering: | Factor | PeerSpot | G2 | Capterra | |--------|----------|----|---------| | **Focus** | Enterprise tech only | All software | All software | | **Review depth** | Long-form case studies | Shorter, structured | Shorter, structured | | **Award frequency** | Quarterly | Quarterly | Varies by category | | **Ranking factors** | 5 factors (rating, reviews, words, views, comparisons) | Grid methodology (satisfaction + market presence) | Multiple badge types with different criteria | | **Verification** | LinkedIn + company email | Email verification | Email verification | | **Badge display rules** | 1 year from award date | Quarterly badges; extended display may require paid tier | Annual badges; can display for free | **The key difference:** PeerSpot reviews read more like case studies than quick ratings. If your buyers are enterprise procurement teams doing deep software comparison research, PeerSpot reviews may carry more weight than a high review count on G2. **For diversification:** B2B software discovery happens across multiple platforms. Having presence on PeerSpot, G2, and Capterra means you're not dependent on one platform's algorithm changes or pricing decisions. (See [Why Software Directories Matter for AI Search](/blog/b2b-software-directories-ai-seo-strategy/).) --- ## The Three PeerSpot Badge Types If you've decided PeerSpot is worth pursuing, here's what you're aiming for: | Badge Type | What It Shows | Key Requirement | When You Get It | |------------|---------------|-----------------|-----------------| | **Tech Leader Award** | Top 3 products in a category | Highest 12-month average ranking | Quarterly — announced ~4 weeks after cutoff | | **Rising Star Award** | Fastest-growing newcomers | 20%+ traffic increase, first review within 24 months | Quarterly — selected from Tech Leader categories | | **Monthly Leader Badge** | Strong performer this month | 50+ points in monthly ranking | Monthly — recalculated each month | **Which should you target?** - **New to PeerSpot?** Start with Monthly Leader — it's achievable faster and proves you're in the game - **Growing fast but not top 3?** Rising Star rewards momentum over absolute position - **Ready for the long game?** Tech Leader is the flagship award, but requires 12 months of consistent performance There was also a **PeerSpectives Award** which recognized marketing teams, not products. Microsoft, BMC, Cisco, and Firemon won in 2023 when it was first introduced. We couldn't find any 2024 or 2025 winners, so it may have been discontinued. More on PeerSpot's documentation gaps below. --- ## The 2026 Awards Schedule PeerSpot moved to quarterly awards for 2026. Find your category: | Quarter | Theme | Categories | Cutoff | Winners Announced | |---------|-------|------------|--------|-------------------| | **Q1 2026** (winners published) | Security Foundations | IAM, PAM, MFA, SSO, Passwordless, EDR/XDR, Firewalls, VPN, SIEM, Threat Detection | March 27, 2026 | [See winners →](https://customerchoiceawards.peerspot.com/) | | **Q2 2026** (winners published) | Cloud & Data Security | CSPM/CNAPP/CWPP, DLP/Encryption/Backup, ZTNA/SASE | June 26, 2026 | July 22, 2026 | | **Q3 2026** (next up) | IT & Infrastructure Tools & Enterprise HR Platforms | Observability/APM/Logging/Kubernetes, ITSM/Help Desk, Collaboration & Productivity, Workload Automation, Enterprise HR | September 25, 2026 | October 22, 2026 | | **Q4 2026** | Emerging Tech & Market Movers | AI/ML in Security & IT Ops, CX Tech (Contact Center, Chatbots, Agentic AI), Rising Categories | November 20, 2026 | December 17, 2026 | **What "cutoff" means:** Reviews and ranking data collected before this date count toward that quarter's awards. Data after the cutoff counts toward the next quarter. **Advance notification:** Vendors who win are notified roughly 21-30 days before the public announcement, per PeerSpot's FAQ. **Sources:** [PeerSpot Customer Choice Awards schedule](https://marketing.peerspot.com/customer-choice-awards/) · [2026 Winners microsite](https://customerchoiceawards.peerspot.com/) --- ## How Rankings Actually Work Now for the methodology. Your monthly ranking is based on five factors: | Factor | Max Points | How It's Calculated | |--------|------------|---------------------| | **Average Rating** | 25 | Linear scale from 6-10; reduced if fewer than 10 reviews | | **Reviews** | 15 | Proportional to category leader; only reviews from past 24 months count | | **Words per Review** | 10 | Linear scale from 0-900 words; reduced if fewer than 10 reviews | | **Comparisons** | 25 | Proportional to category leader; based on head-to-head comparison selections | | **Views** | 25 | Proportional to category leader; weighted by category relevance | **A note on "Words per Review":** This is the only awards program we know of that factors review *length* into rankings. PeerSpot reviews do read more like case studies than quick ratings, so longer reviews arguably mean richer content. But it's still a bit odd that a [vendor](/glossary/vendor/) gets an award based on how hard their customers worked on their prose. **For Tech Leader Award:** The five factors above determine your monthly rank position (1st, 2nd, 3rd, etc.). Then your *12-month arithmetic mean* of those monthly positions determines if you're in the top 3. For example, if you were ranked #1 for 9 months and #3 for 3 months, your average would be 1.75. This two-step process — monthly ranking from five factors, then annual averaging of ranks — is confirmed by both the [methodology page](https://www.peerspot.com/methodology) and the [Customer Choice Awards page](https://marketing.peerspot.com/customer-choice-awards/), though the two pages describe different layers of the same system. **For Monthly Leader Badge:** Any product scoring 50+ points gets the badge. Multiple products can be Leaders in the same category. **For Rising Star Award:** You need 20%+ traffic growth over 12 months, your first review within the past 24 months, and at least 3 visible reviews. ### What Gets Excluded - Reviews older than 24 months - Reviews from resellers - Suspected fraudulent activity (click farms, fake reviews) **Source:** [PeerSpot Ranking Methodologies](https://www.peerspot.com/methodology) (Updated December 30, 2023 — we didn't find a more recent document, so we assume this is still current) --- ## Step-by-Step: Working Toward a Badge Now that you understand the methodology, here's how to execute: ### Step 1: Confirm Your Category Check if your product is listed in a PeerSpot category. The platform covers 100+ categories across: - Cybersecurity (EDR, SIEM, Firewalls, IAM, etc.) - IT Management (ITSM, Monitoring, Automation) - Cloud Computing (IaaS, PaaS, Cloud Security) - Data Management (Integration, Warehousing, Governance) - Enterprise Applications (RPA, BPM, BI Tools) If you're not listed, you can [request to be added](https://marketing.peerspot.com/contact-us/). ### Step 2: Check Your Current Position Visit your product page on peerspot.com to see: - Your current ranking in the category - Number of reviews (and how many are from the past 24 months) - Average rating - Comparison and view metrics (visible on the ranking bar) ### Step 3: Set Your Target **For Rising Star eligibility:** - Need: First review within past 24 months, 3+ visible reviews, 20%+ traffic growth - Best for: Newer products in growing categories **For Monthly Leader badge:** - Need: 50+ points in the monthly ranking - Best for: Products with consistent review collection and engagement **For Tech Leader Award:** - Need: Top 3 average ranking over 12 months - Best for: Products that can sustain strong performance long-term ### Step 4: Collect Reviews Running a [review campaign](/glossary/review-campaign/) for PeerSpot is different from G2 or Capterra. Reviews are longer and require more detail — this isn't a quick star-rating platform. **Who can review:** - Current users who've used the product in the past 12 months - Evaluators who assessed the product for their company - Must register with LinkedIn or company email **Best practices:** - Target power users who can write detailed reviews - Ask after successful implementations or support interactions - Explain that PeerSpot reviews require pros and cons - Don't [incentivize](/glossary/incentivized-reviews/) reviews — it violates guidelines and gets flagged ### Step 5: Drive Engagement Two of the five ranking factors are engagement-based: - **Comparisons** — When buyers compare your product head-to-head with competitors - **Views** — Traffic to your product page You can influence these by: - Linking to your PeerSpot page in marketing materials - Directing prospects to PeerSpot for independent research - Creating comparison content that drives traffic --- ## How PeerSpot Verifies Reviews PeerSpot takes [verification](/glossary/review-verification/) seriously — here's what they check: 1. **LinkedIn or company email required** — New users must register with professional credentials 2. **Usage recency** — Reviewers must have used the product in the past 12 months 3. **Balanced perspective required** — Reviews must include pros and cons 4. **Vendor identification** — Vendor employees must identify themselves 5. **Community flagging** — Users can flag suspicious reviews 6. **Red badge for fraud** — Vendors suspected of planting fake reviews get a red warning badge **What "verified reviewer" means:** PeerSpot cross-references registration info against LinkedIn to confirm the reviewer works at the company they claim and has the role they describe. For the cross-platform rules on incentives, disclosure, and the FTC's exposure if you cut a corner, see [safe B2B SaaS review collection](/guides/b2b-saas-review-collection-rules). **Source:** [PeerSpot Ranking Methodologies](https://www.peerspot.com/methodology) --- ## Quick Reference: The Numbers ### Tech Leader Award - Top 3 products per category - Based on 12-month average ranking - Category needs 5+ products with 8+ reviews each - Quarterly announcements **Go deeper:** [PeerSpot Tech Leader](/all-software-awards-and-badges/peerspot-tech-leader/) — what the 12-month ranking average signals to enterprise buyers and how to interpret your position. ### Rising Star Award - First review within past 24 months - 20%+ traffic growth in 12 months - At least 3 visible reviews - Category needs 5+ products - Not every category has a winner **Go deeper:** [PeerSpot Rising Star](/all-software-awards-and-badges/peerspot-rising-star/) — who qualifies, how traffic growth is measured, and why momentum beats absolute position for newer products. ### Monthly Leader Badge - 50+ points in monthly ranking - Multiple Leaders possible per category - Recalculated monthly ### Ranking Factors - Reviews older than 24 months don't count - Reseller reviews excluded - Five factors: Rating (25), Reviews (15), Words (10), Comparisons (25), Views (25) --- ## What We Don't Know PeerSpot's documentation is relatively clear, but some gaps remain: - **Exact point thresholds for Tech Leader** — We know Leader badges require 50 points, but the Tech Leader Award just says "top 3." How close do they have to be? - **Traffic growth calculation details** — Rising Star requires "20% traffic increase" but doesn't specify how this is measured or normalized - **Category eligibility announcements** — The quarterly schedule shows category themes, but the full list of eligible categories per quarter isn't published If PeerSpot publishes more detailed methodology, we'll update this guide. --- ## Where Are the 2024 and 2025 Winners? When researching this guide, we ran into something unexpected: **we couldn't find any public announcement of 2024 or 2025 PeerSpot award winners.** Here's what we found (re-verified April 24, 2026): - The old `/awards-winners/` page on the main marketing site — which as of earlier in 2026 displayed 2023 winners — now returns **404**. The historical record appears to have been taken down. - The FAQ still says "the announcement of the 2024 Award winners is planned for September 2024" — on a page clearly displaying 2026 schedules - PeerSpot's [news page](https://marketing.peerspot.com/news/) has no 2024, 2025, or 2026 awards announcements — the most recent news item is September 10, 2024 (a product announcement, not an award) - No 2024 or 2025 award articles exist in PeerSpot's [resources section](https://marketing.peerspot.com/resources/) — though it does now link to the 2026 microsite in nav and footer **2026 update:** PeerSpot did publish the Q1 2026 (security) winners on a new dedicated microsite at [customerchoiceawards.peerspot.com](https://customerchoiceawards.peerspot.com/). But there's still no corresponding press release on the main news page, and the 2024/2025 gap remains unexplained. Net-net: the only place PeerSpot officially documents winners today is the new microsite for 2026 — the prior 2023 record is no longer publicly accessible on their own site. **What this might mean (Blastra's speculation, happy to be corrected):** 1. PeerSpot may have skipped 2024/2025 annual awards while restructuring to the quarterly format 2. Awards may have been announced but not publicly documented (notified to winners only?) 3. The transition to quarterly awards may have disrupted the annual cycle 4. Promotion of winners may now live on the standalone microsite instead of the main marketing site — a split that makes the program harder to find for anyone not already looking for it **Why this matters:** If you're going to invest 12 months building toward a Tech Leader badge, you'd expect PeerSpot to do a great job promoting the winners in perpetuity. The Q1 2026 microsite is a step forward, but the disappearing 2023 page, the missing 2024/2025 announcements, and the absence of a press release tying the new microsite back to the main brand all raise questions about durability. Even if you win, how long will the public record of it stay up? --- ## Source Documentation We reviewed every official source. Here's what to trust: ### Primary Sources (Dated, Reliable) | Source | Date | Notes | |--------|------|-------| | [PeerSpot Ranking Methodologies](https://www.peerspot.com/methodology) | Dec 30, 2023 | ✅ Most detailed methodology (we didn't find a more recent version) | | [Customer Choice Awards](https://marketing.peerspot.com/customer-choice-awards/) | 2026 | ✅ Schedule and FAQ | | [2026 Customer Choice Awards Winners](https://customerchoiceawards.peerspot.com/) | 2026 | ✅ New microsite listing Q1 2026 winners (Tech Leader & Rising Star) | | [Being Ranked #1 on PeerSpot](https://marketing.peerspot.com/being-ranked-1-on-peerspot-what-it-means-for-your-company/) | Aug 11, 2025 | ✅ Business value context | | [How PeerSpot Reviews Turn You Into the Answer in AI Search](https://marketing.peerspot.com/peerspot-reviews-ai-search/) | Nov 13, 2025 | ✅ AI visibility positioning | ### Secondary Sources (Useful Context) | Source | Notes | |--------|-------| | Awards Winners page (archived) | ❌ Was showing 2023 winners on `marketing.peerspot.com/awards-winners/`; now returns 404 (re-verified April 24, 2026) | | [PeerSpot 2023 Awards Announcement](https://marketing.peerspot.com/news/peerspot-announces-2023-awards-for-best-b2b-enterprise-technology/) | ⚠️ Useful for understanding selection criteria | | [PeerSpot Resources](https://marketing.peerspot.com/resources/) | ⚠️ No 2024/2025 awards content found | ### Outdated Information | Source | Issue | |--------|-------| | FAQ date reference | ❌ Still references "September 2024" despite 2026 schedule being live | --- ## FAQ ### What is the difference between PeerSpot Tech Leader and Rising Star awards? Tech Leader rewards sustained excellence — top 3 products based on 12-month average ranking. Rising Star rewards momentum — fast-growing newcomers with 20%+ traffic growth, first review within 24 months, and 3+ visible reviews. ### How long does it take to earn a PeerSpot badge? Monthly Leader can be earned quickly (50+ points). Rising Star requires 12 months of growth data. Tech Leader requires 12 months of consistent top-3 performance — longer than G2 or Capterra badges. ### Can I display PeerSpot badges for free? Yes. Badges can be displayed on your website and marketing materials at no cost for one year from the award date. Unlike G2 ($2,999+/year), PeerSpot doesn't charge for badge display. ### How does PeerSpot verify reviews? PeerSpot verifies reviewers through LinkedIn cross-referencing, confirms product use within 12 months, and requires balanced pros/cons in every review. This is among the strictest verification of any B2B platform. ### Is PeerSpot worth it for non-enterprise software? No. PeerSpot focuses exclusively on enterprise technology: cybersecurity, IT infrastructure, and cloud. SMB or midmarket companies should prioritize [G2](/guides/how-to-earn-g2-badges/) and [Capterra](/guides/how-to-earn-capterra-badges/) instead. --- ## Key Takeaways 1. **Three badge types exist.** Tech Leader (top 3), Rising Star (fastest-growing), and Monthly Leader (50+ points). Monthly Leader is a good stepping stone. 2. **Quarterly schedule in 2026.** Q1 (security) and Q2 (cloud & data security) winners are published at [customerchoiceawards.peerspot.com](https://customerchoiceawards.peerspot.com/). Next up: Q3 (IT/infrastructure + enterprise HR) closes September 25. Q4 (AI/emerging) closes November 20. Check which quarter covers your category. 3. **Five ranking factors.** Average rating, reviews, words per review, comparisons, and views — all contribute to your monthly score. 4. **This is a long game.** Tech Leader uses a 12-month rolling average. You can't win this in a quarter. 5. **Check your category first.** Visit peerspot.com, find your category, look at the top 3. That's your benchmark. If they have 500 reviews and you have 5, recalibrate your expectations. 6. **Enterprise tech only.** If you sell to SMB/midmarket or you're outside security/IT/cloud, G2 and Capterra will give you better ROI. 7. **Paid services may be required.** Collecting long-form, verified reviews without PeerSpot's help is difficult. Factor that into your decision. 8. **Public winner records are fragile.** 2024/2025 winners were never publicly documented. The old 2023 winners page has been taken down and now 404s. PeerSpot has published Q1 and Q2 2026 winners at a [dedicated microsite](https://customerchoiceawards.peerspot.com/), but there's no press release on the main news page and no archive of past years. If winner durability matters to you, factor that in. --- ## Related Guides - [G2 Badges Guide: How to Earn Badges in 2026](/guides/how-to-earn-g2-badges/) — G2's grid methodology, review requirements, and paid plan considerations - [What G2 Software Awards Teach Us About B2B Marketing](/blog/g2-best-software-awards-2026-stack-is-a-river/) — Analysis of the 2026 awards landscape - [Capterra Badges Guide: How to Earn Badges in 2026](/guides/how-to-earn-capterra-badges/) — Capterra's category-specific deadlines and 20-review targets - [SourceForge Badges Guide: How to Earn Badges in 2026](/guides/how-to-earn-sourceforge-badges/) — SourceForge's top 5%/10% thresholds and seasonal awards - [How to Get G2 & Capterra Reviews](/guides/how-to-get-g2-capterra-reviews/) — Review collection best practices that apply across platforms - [How SoftwareReviews Awards Work](/guides/how-softwarereviews-awards-work/) — Data Quadrant + Emotional Footprint, 130-data-point surveys, free badge display - [SaaS Review Strategy: How to Stand Out](/guides/how-to-handle-software-reviews/) — Turn reviews into competitive advantage --- ## About This Guide This guide was created by [Blastra](/), a [SaaS listings management](/glossary/software-listings-management/) platform. We help software companies manage their third-party [visibility posture](/glossary/visibility-posture/) across [directories](/glossary/software-directory/) like G2, Capterra, SourceForge, and PeerSpot. PeerSpot's documentation was scattered across multiple pages with some outdated references. So we organized it. --- *This guide reflects publicly available methodology documentation as of April 2026. PeerSpot may update their programs. Verify against official sources for the most current requirements.* --- --- # How to Earn SourceForge Badges: Leader & Top Performer URL: https://blastra.io/guides/how-to-earn-sourceforge-badges/ Description: How to earn SourceForge Leader (top 5%), Top Performer (top 10%), and Star Rating badges. Requirements, award schedule, and step-by-step guide for B2B software vendors. ## TL;DR **Honest assessment:** SourceForge [badges](/glossary/badge/) are hard to get. You're competing for a spot in the top 5% (Leader) or top 10% (Top Performer) of highly reviewed products — and the bar keeps moving based on what everyone else is doing. If you earn one, it's a genuine achievement. If you're new to SourceForge, start with [the Complete Guide to SourceForge](/guides/understanding-sourceforge/) — it covers what the platform is, why AI cites it heavily, and how to think about it for B2B SaaS marketing before you tackle badge-specific tactics. And if you're just getting started with [directory](/glossary/software-directory/) presence more broadly, you might want to read our [Capterra](/guides/how-to-earn-capterra-badges/) and [G2](/guides/how-to-earn-g2-badges/) guides first — those platforms have clear, fixed targets you can actually plan around. SourceForge is a longer game — percentile-based competition with undisclosed thresholds makes it probably the most ambitious (and not yet widely understood) software award out there. **The quick win:** For contrast, their Star Rating badge is automatic with just one [review](/glossary/user-reviews/). Get that while you build toward the competitive awards. --- ## Why SourceForge Matters At All (With Badges or Without Them) Here is a little-known fact: SourceForge is currently the world's largest B2B software review and comparison directory, with nearly 20 million monthly visitors comparing over 100,000 products. That landscape may shift significantly. [G2's acquisition of Gartner Digital Markets](/blog/g2-capterra-acquisition-closed/) combined G2, Capterra, GetApp, and Software Advice into a single entity — roughly 6 million verified reviews and 200 million annual software [buyers](/glossary/buyer/) under one roof. With that much of the market consolidated, diversifying your review presence across independent platforms like SourceForge becomes a smart hedge: you're not dependent on one company's pricing decisions, policy changes, or algorithm updates. **So here's the realistic path:** 1. **Right now:** Get listed on SourceForge. Collect a few reviews. Display your Star Rating badge (automatic with just one review). You're building presence on an independent platform that matters for AI discoverability. 2. **As you mature:** Keep collecting reviews consistently. SourceForge emphasizes recency, so steady growth beats one-time campaigns. 3. **Eventually:** Once you've built enough momentum — and that could take years, not months — you might crack the top 10% (Top Performer) or even top 5% (Leader). **If you do earn a competitive badge, here's what it gets you:** - **On SourceForge** — Badge holders stand out in category listings and comparison pages - **On your website** — Embed badge graphics as social proof - **In sales materials** — Decks, emails, proposals, trade show booths - **In paid campaigns** — SourceForge claims badges can improve marketing campaign performance by 40% to over 150%. (From [vendors](/glossary/vendor/) who've actually tested this, we've heard badges improve conversion rates by around 30%.) - **In [AI search](/glossary/aeo/) results** — AI systems increasingly use third-party data signals when recommending software. SourceForge's open data makes it a primary source for LLMs like ChatGPT and Gemini when users ask for software recommendations — and that's likely to grow as the G2/Gartner consolidation creates a more closed ecosystem. (See [how directories feed AI and SEO](/blog/b2b-software-directories-ai-seo-strategy/).) **Sister directories:** SourceForge is owned by Slashdot Media, which also operates Slashdot.org (yes, *that* Slashdot — it has its own software comparison directory now). Slashdot Media also lists TopBusinessSoftware among its properties. The platforms share [profiles](/glossary/listing-or-profile/) and reviews, and appear to share badge programs — so one review effort may earn you visibility across multiple sites. --- ## The Four SourceForge Badge Types | Badge/Award | What It Shows | Key Requirement | When You Get It | |-------------|---------------|-----------------|-----------------| | **Leader Award** | Most prestigious — top performers | Top 5% of highly reviewed products | Seasonal (4x/year, based on vendor announcements) | | **Top Performer Award** | Excellent user satisfaction | Top 10% of highly reviewed products | Seasonal (4x/year, based on vendor announcements) | | **Review Stars Badge** | Your average star rating | At least 1 review | Automatic, updates continuously | | **"Customers Love Us" Badge** | General trust signal | Likely 4.5+ average rating | Available once you qualify | All four badges can be placed on your website, social media, email signatures, trade show materials, and print campaigns — **at no cost**. This is similar to Capterra (where badges are currently free to display) but notably different from G2, which [paywalled most badge usage in Summer 2025](/guides/how-to-earn-g2-badges/). On G2, only the basic "Users Love Us" badge remains free — report-based and seasonal badges now require a paid plan to display. Now that [G2's acquisition of Capterra, GetApp, and Software Advice has closed](/blog/g2-capterra-acquisition-closed/), that paywall model could extend to Capterra's recognition program too. SourceForge may end up being one of the few remaining platforms where you can earn and display meaningful badges without a subscription. That said — if you're building directory presence, Capterra still offers clear targets and achievable thresholds. Though all [2026 badge deadlines have passed](/guides/how-to-earn-capterra-badges/), reviews you collect now count toward the next cycle. (We explain the full methodology in our [Capterra guide](/guides/how-to-earn-capterra-badges/).) But back to SourceForge. --- ## Leader Award The most prestigious recognition on SourceForge. Winners place in the top 5% of highly reviewed products. SourceForge's official documentation says "top fifth percentile of highly reviewed products" — note the qualifier. The denominator is products with enough reviews to be considered "highly reviewed," which is a smaller pool than the 100,000+ total products on the platform. ### Requirements | Requirement | Details | |-------------|---------| | **Ranking threshold** | Top 5% of highly reviewed products | | **Review quality** | "Outstanding" / "high-rated" reviews | | **Review recency** | "Recent" reviews are emphasized | SourceForge doesn't publish a minimum review count. Based on winner announcements, the key factors are volume of reviews, review [ratings](/glossary/rating-and-ranking/), and recency. **What does Leader-level look like?** [Pipedrive](https://sourceforge.net/software/product/Pipedrive/#reviews) has been a consistent Leader winner with nearly 10,000 reviews. [Post Affiliate Pro](https://sourceforge.net/software/product/Post-Affiliate-Pro/) has maintained Leader status across multiple seasons with excellent review consistency. These are established players — we don't know what the minimum threshold looks like because SourceForge doesn't publish one. **From Post Affiliate Pro's own documentation:** "To qualify for this prestigious award, software products must rank in the top 5% of all software listed on SourceForge... based on volume and quality of user reviews, with emphasis on consistently excellent feedback from verified users." They also note that the award "considers the frequency and recency of positive reviews." **Source:** [SourceForge Badges and Awards](https://docs.sourceforge.net/badges-and-awards) (Accessed January 2026), [Post Affiliate Pro FAQ](https://www.postaffiliatepro.com/faq/sourceforge-category-leader-award/) **Go deeper:** [SourceForge Leader](/all-software-awards-and-badges/sourceforge-leader/) — what the top-5% placement signals to buyers and AI search, and how vendors actually use it in marketing. --- ## Top Performer Award One tier below Leader. Winners place in the top 10% of highly reviewed products. ### Requirements | Requirement | Details | |-------------|---------| | **Ranking threshold** | Top 10% of highly reviewed products | | **Review quality** | "Outstanding" / "high-rated" reviews | | **Review recency** | "Recent" reviews are emphasized | Same methodology as Leader, just a different percentile cutoff. **Source:** [SourceForge Badges and Awards](https://docs.sourceforge.net/badges-and-awards) (Accessed January 2026) **Go deeper:** [SourceForge Top Performer](/all-software-awards-and-badges/sourceforge-top-performer/) — how the top-10% tier differs from Leader, and whether it moves the needle with buyers. --- ## Review Stars Badge The simplest badge. It displays your current average star rating across all reviews and automatically stays synchronized with your SourceForge product page. | Requirement | Details | |-------------|---------| | **Minimum reviews** | 1 published review | | **No reviews yet?** | Badge shows "Write a Review" button instead of stars | | **Updates** | Automatic as new reviews come in | Even before you qualify for competitive awards, you can display social proof on your website. **Go deeper:** [SourceForge Review Stars](/all-software-awards-and-badges/sourceforge-review-stars/) — what the star-rating badge communicates, and how to embed it so it stays current. **Source:** [SourceForge Badges and Awards](https://docs.sourceforge.net/badges-and-awards) (Accessed January 2026) --- ## "Customers Love Us" Badge A general trust badge based on meeting a rating threshold rather than percentile ranking. | Requirement | Details | |-------------|---------| | **Minimum rating** | Likely 4.5+ average (based on third-party reports) | | **Availability** | Ongoing — not tied to seasonal cycles | SourceForge's official documentation doesn't specify the exact requirements. One vendor (Onfleet) reported receiving this badge for "maintaining an average review score of 4.5 or higher." We can't confirm this is universal, but 4.5+ is a reasonable target. **Source:** [SourceForge Badges and Awards](https://docs.sourceforge.net/badges-and-awards); Third-party vendor announcements --- ## The 2026 Award Schedule Based on historical announcement patterns, here's when to expect awards: | Award Period | Expected Announcement Window | Status | |--------------|------------------------------|--------| | **Winter 2026** | Early-mid January 2026 | Announced | | **Spring 2026** | Late April – early May 2026 | Announced | | **Summer 2026** | Mid-July 2026 | Announced | | **Fall 2026** | Early-mid October 2026 | Upcoming | **Recent Winter 2026 winners include:** Wave Browser, InboxAlly, Concrete CMS, and Infocon Systems. Each winner's press release confirms the methodology — Leader requires top 5% of highly reviewed products, Top Performer requires top 10%. **A benchmark to aim for:** Of the Winter 2026 Leader winners we analyzed, Infocon Systems had the fewest reviews — just 48, all from 2025. That's the lowest bar we've seen for Leader status, and it suggests that consistent recent reviews may matter more than sheer volume. **No documented cutoff dates.** Unlike Capterra (which publishes specific review cutoff dates per category), SourceForge doesn't publicly document when reviews must be submitted to count toward a specific award cycle. The emphasis on "recent" reviews suggests there's some rolling window, but the exact methodology isn't published. --- ## Step-by-Step: Optimizing Your SourceForge Listing for Badges Now that you know what the badges are and when they're awarded, here's how to work toward them. ### Step 1: Claim Your Listing If you haven't already, create your SourceForge product listing. It's free to claim, edit, and manage your basic listing. (Blastra can do this for you if you'd rather not deal with it.) ### Step 2: Collect Customer Reviews SourceForge offers several review generation options: **Self-service (free tier):** - If you manage your listing with Blastra, get a special review link from your [Blastpad](/auth/sign-in) - If self-managed, find your review link under your live listing in the SourceForge admin panel - Email customers directly asking for reviews **Self-service with incentives (requires Plus plan or above):** SourceForge runs an [incentivized review](/glossary/incentivized-reviews/) program — but here's how it actually works: *SourceForge* pays for and sends the gift cards ($20 value), not you. You get a special review link, your customers write reviews, and SourceForge rewards them with a digital gift card if the review is published. The reviews are marked as incentivized per FTC guidelines. This program is only available for vendors on SourceForge Plus or higher plans. You get a limited number of gift card credits depending on your plan tier. **Managed campaigns (requires SourceForge Plus or above):** - Upload a customer list (minimum 100 contacts; SourceForge recommends 20 contacts for each review you want to generate) - SourceForge handles the outreach emails and gift card fulfillment - For 50 reviews quickly, they suggest providing at least 1,000 contacts For more on running [review campaigns](/glossary/review-campaign/) ethically, see our [G2 & Capterra review guidelines](/guides/how-to-get-g2-capterra-reviews/) — the principles apply across platforms. ### Step 3: Use Your Badges Once you earn badges: - Access badge graphics in the "Badges" tab of your admin section - Embed code snippets on your website - Download graphics for other materials The Review Stars Badge updates automatically — once embedded, it reflects your current rating without manual updates. --- ## What We Don't Know (And Why It's Frustrating) If you've followed the steps above and you're wondering "but how many reviews do I actually need?" — you're not alone. SourceForge's documentation leaves key questions unanswered: - **Minimum review count** — No published minimum for any award. How many is enough? - **Exact rating threshold** — "High-rated" isn't defined numerically. 4.0? 4.5? 4.8? - **Review window** — "Recent" reviews are emphasized, but no timeframe specified. Last 6 months? 12 months? - **Category weighting** — SourceForge's official docs don't specify whether competition is platform-wide or per category. Vendor press releases often say things like "Leader Award in EDI Software" — the "in [category]" phrasing suggests awards may be category-specific, despite what some vendor press releases claim about platform-wide competition - **Do all reviews count?** — We don't know if older reviews are excluded entirely, weighted less, or fully counted. [G2 explicitly publishes how review value decays over time](/guides/how-to-earn-g2-badges/) — a review loses scoring weight on a documented schedule. Capterra specifies 12-month and 24-month windows for different badges. SourceForge just says "recency" matters without explaining the mechanics. Here's a real example of the vagueness. From [Infocon Systems' Winter 2026 Leader announcement](https://www.marketpressrelease.com/Infocon-Systems-Wins-the-Winter-2026-Leader-Award-in-EDI-Software-from-SourceForge-1768845162.html): > "To earn the Winter 2026 Leader Award, Infocon Systems received enough high-rated user reviews to rank among the top five percent of favorably reviewed products out of more than 100,000 software solutions listed on SourceForge." What is "enough"? We don't know. This opacity makes planning difficult. With Capterra, you can say "we need 8 more reviews by March 31 to qualify." With SourceForge, you're building momentum without knowing where the finish line is. If SourceForge publishes more detailed methodology, we'll update this guide. --- ## How SourceForge Compares to Capterra and G2 By now you've seen the gap: SourceForge badges work differently than what you might be used to from other platforms. | Factor | SourceForge | Capterra/G2 | |--------|-------------|-------------| | **Methodology** | Percentile ranking (relative) | Fixed thresholds (absolute) | | **Can you calculate if you qualify?** | No — ranking is relative | Yes — specific review counts | | **Competition scope** | Unclear — docs say "highly reviewed products," vendor PRs suggest per-category | Category-specific | | **Strategy** | Maximize volume and quality continuously | Hit specific targets by cutoff dates | | **New entrant friendliness** | Low — you're competing against established players | Higher — hit the number, you're in | ### A Note to SourceForge (If You're Listening) We love what SourceForge represents — an independent alternative in a market that's rapidly consolidating. But the percentile-based system creates structural advantages that are hard to overcome. Some vendors have built review collection machines — systematic processes that generate steady streams of high-quality reviews at scale. Others have natural advantages: an SMB tool with a free tier and 50,000 users will always generate more reviews than a niche enterprise product with 200 customers, even if both products genuinely delight their users. There's also an open question about scope. Vendor press releases frequently say things like "Leader Award in EDI Software" — which sounds category-specific. But SourceForge's own documentation just says "top fifth percentile of highly reviewed products" without specifying whether that's per category or platform-wide. If it is category-specific, that's better for most vendors — you'd be competing against peers in your niche rather than CRM giants with 10,000 reviews. **We'd love to see SourceForge publish clearer methodology.** Whether competition is per category or platform-wide, what "highly reviewed" means as a qualifier, and what the actual review windows are. Vendors can't plan for what they can't measure. Clear, achievable targets would attract *more* vendors to collect reviews on SourceForge, which means more user-generated content, more traffic, more value for buyers. Also: the badges themselves deserve better branding. A SourceForge Leader badge is a genuine achievement. But vendors have to explain why a SourceForge award is important. (We've seen award announcement PDFs that spend half the page educating readers on what SourceForge is.) People love badges. Let more people earn them. And help them show off what they've earned. The platforms that make badges accessible *and* recognizable will be the platforms vendors actively promote and participate in. *End of unsolicited advice.* Drop us a line at ceo@blastra.io if you want to brainstorm. --- ## Source Documentation ### Primary Sources (Official) | Source | Notes | |--------|-------| | [SourceForge Badges and Awards](https://docs.sourceforge.net/badges-and-awards) | Main documentation page | | [SourceForge Reviews and Review Generation](https://docs.sourceforge.net/reviews-and-review-generation) | Details on collecting reviews | ### Secondary Sources (Vendor Announcements) | Source | Notes | |--------|-------| | 30+ vendor press releases (2024-2025) | Confirm percentile thresholds and announcement timing | --- ## Key Takeaways 1. **SourceForge badges are a long game.** Percentile-based competition means you're building momentum over time, not hitting a fixed target. 2. **Start with the Star Rating badge.** One review gets you a displayable badge. That's your quick win while you build. 3. **The Leader badge is a real achievement.** Top 5% of highly reviewed products — if you earn it, be proud of it. 4. **Consider your sequencing.** If you're building directory presence from scratch, [Capterra](/guides/how-to-earn-capterra-badges/) and [G2](/guides/how-to-earn-g2-badges/) have clearer paths. SourceForge is for the long haul. 5. **We're rooting for SourceForge to make this more accessible.** Clear thresholds. Category scoping. Better badge recognition. Everyone wins. --- ## Related Guides - [How Capterra Awards Work](/guides/how-to-earn-capterra-badges/) — Fixed thresholds, category-specific competition, free to display - [How G2 Badges Work](/guides/how-to-earn-g2-badges/) — Paid subscriptions required to display most badges - [How to Get G2 and Capterra Reviews](/guides/how-to-get-g2-capterra-reviews/) — Best practices for review collection campaigns - [How to Improve Your G2 Grid Position](/guides/how-to-get-ranked-on-g2/) — Understanding G2's ranking algorithm - [How SoftwareReviews Awards Work](/guides/how-softwarereviews-awards-work/) — Data Quadrant + Emotional Footprint, 130-data-point surveys, free badge display --- ## FAQ ### How many reviews do I need for a SourceForge Leader badge? SourceForge doesn't publish a minimum. The award goes to the top 5% of highly reviewed products, with emphasis on review volume, ratings, and recency. From Winter 2026 winner data, the lowest-review Leader we analyzed (Infocon Systems) had 48 reviews — all from 2025. That suggests consistent recent reviews may matter more than raw volume. Established Leaders like Pipedrive have thousands of reviews. ### What's the difference between SourceForge Leader and Top Performer? Both use the same methodology — percentile ranking of highly reviewed products based on review volume, ratings, and recency. Leader goes to the top 5%, Top Performer to the top 10%. Top Performer is the tier just below Leader. ### When are SourceForge badges awarded? Seasonally — four times per year (Winter, Spring, Summer, Fall). Based on historical patterns: Winter announcements in early-to-mid January, Spring in late April / early May, Summer in mid-July, Fall in early-to-mid October. SourceForge doesn't publish specific review cutoff dates per cycle — "recency" is emphasized without a documented window. ### Are SourceForge badges free to display? Yes. All four SourceForge badge types (Leader, Top Performer, Review Stars, Customers Love Us) can be placed on your website, social media, email signatures, trade show materials, and print campaigns at no cost. This is different from G2, which [paywalled most badge usage in Summer 2025](/guides/how-to-earn-g2-badges/) — only the basic "Users Love Us" badge is free on G2 now. ### How is SourceForge's badge methodology different from G2 and Capterra? G2 and Capterra use fixed thresholds — hit a specific review count and rating, you qualify. SourceForge uses percentile ranking — you're always competing against whoever else is highly reviewed in the field. Fixed thresholds let you plan ("we need 8 more reviews by March 31"). Percentile ranking means you're building momentum without knowing where the finish line is. ### Does SourceForge rank products per category or platform-wide? SourceForge's official documentation just says "top fifth percentile of highly reviewed products" without specifying scope. Vendor press releases frequently say things like "Leader Award in EDI Software" — the "in [category]" phrasing suggests awards may be category-specific. SourceForge hasn't clarified publicly. ### How do I earn a SourceForge Star Rating badge? One published review. That's it. The Star Rating badge displays your current average rating, updates automatically as new reviews come in, and works as social proof even before you qualify for competitive awards. It's the fastest SourceForge badge to earn. --- # How to Earn G2 Badges: Leader, High Performer & Costs URL: https://blastra.io/guides/how-to-earn-g2-badges/ Description: G2 badge requirements decoded: 10 reviews for Grid placement, 20 for Users Love Us (free to display). Leader badges cost $2,999+/yr. Next deadline: November 3, 2026. ## TL;DR G2 badges look great, but here's what you need to know before you invest: **you need a paid G2 subscription ($2,999+/year) to use most badges in your marketing.** Free profiles can still earn placements and use the "Users Love Us" badge (20 reviews, 4.0+ average), but report-based badges like "Leader" and "High Performer" require a subscription to display. The next actionable G2 review deadline is November 3, 2026 for the Winter 2027 reports; the Fall 2026 deadline closed July 28. --- ## Before You Start: The Cost Question Let's address this upfront because it affects everything else. **Starting Summer 2025, G2 changed their badge policy.** You can still *earn* badges with a free profile — your product gets placed on the G2 Grid if you qualify — but you cannot publicly *display* or *use* those badges in your marketing unless you have a paid G2 plan. **What this means practically:** | Profile Type | What You Can Do | What You Can't Do | |--------------|-----------------|-------------------| | **Free** | Earn Grid placements, reference them textually ("We ranked as a Leader"), use "Users Love Us" badge (20 reviews, 4.0+ average) | Display Leader/High Performer badge graphics in marketing | | **Paid** ($2,999+/year) | All of the above + download and use badge graphics, embed on website, use in email signatures | — | This is a meaningful difference for budget-constrained teams deciding where to invest review collection efforts. It's a good place to mention: [Capterra badges are free to display and use forever](/guides/how-to-earn-capterra-badges/). No subscription required once you've earned them. However, G2 [acquired Capterra, GetApp, and Software Advice](/blog/g2-capterra-acquisition-closed/) from Gartner in February 2026. So you have an idea of what might be coming. Anyway, let's go on. --- ## How to Earn G2 Badges in 2026 If you want G2 badges this year: 1. **Decide if you'll pay** — Report badges (Leader, High Performer, Momentum) require a paid plan to use publicly. Budget accordingly. 2. **Get 10+ reviews** — Minimum to appear on the G2 Grid in your category 3. **Hit the deadline** — November 3, 2026 for Winter 2027 reports (Fall 2026 closed July 28) 4. **Rank in Leader or High Performer quadrant** — Based on Satisfaction and Market Presence scores If you want the free "Users Love Us" badge only: 1. **Collect 20 reviews** — No deadline, badge available anytime you qualify 2. **Maintain 4.0+ average** — Based on "Likelihood to Recommend" scores 3. **No subscription required** — Display it wherever you want --- ## The G2 Badge Types G2 offers several types of recognition. Some are badges you can download and display; others are placements in reports. | Badge Type | What It Shows | Key Requirement | Can Free Profiles Use It? | |------------|---------------|-----------------|---------------------------| | **Users Love Us** | High customer satisfaction | 20 reviews, 4.0+ average | Yes | | **Grid Badges** (Leader, High Performer) | Quarterly report performance | 10+ reviews, rank in top quadrants | Paid plans only | | **Momentum Badge** | Year-over-year growth | One year of data, growth metrics | Paid plans only | | **Index Badges** (Usability, Results, etc.) | Performance in specific areas | 10+ reviews, 5+ responses to relevant questions | Paid plans only | | **Best Software Awards** | Annual recognition | Category-specific, 10+ reviews in past year | Paid plans only | --- ## Badge Type 1: Users Love Us ### What It Is A milestone badge awarded when you collect 20 reviews with an average rating of 4.0+ stars. This is G2's only badge that remains free to display for all vendors. ### Requirements | Requirement | Details | |-------------|---------| | **Minimum reviews** | 20 published reviews (all time) | | **Minimum rating** | 4.0+ stars average | | **Subscription required?** | No — free to display | | **Updates** | Available as soon as you qualify | ### Why It Matters This is your entry point to G2 recognition without budget commitment. Unlike Grid badges, you control when you earn it (by running a [review campaign](/glossary/review-campaign/)). It signals customer satisfaction without requiring you to outperform competitors. **Go deeper:** [G2 Users Love Us — the buyer's breakdown](/all-software-awards-and-badges/g2-users-love-us/), including what it signals to buyers and AI search and what it doesn't. **Source:** [G2 Badges Documentation](https://documentation.g2.com/docs/g2-badges) (Updated July 16, 2025) --- ## Badge Type 2: Grid Report Badges ### What They Are Quarterly badges based on your position in G2's Grid reports. Products that rank in the "Leader" or "High Performer" quadrants earn corresponding badges. The Grid plots products on two axes: - **Satisfaction** (y-axis) — Based on review ratings and user feedback - **Market Presence** (x-axis) — Based on company size, web presence, review volume, and third-party data ### The Four Quadrants | Quadrant | What It Means | Badge? | |----------|---------------|--------| | **Leader** | High satisfaction + high market presence | Yes | | **High Performer** | High satisfaction + lower market presence | Yes | | **Contender** | Lower satisfaction + high market presence | No badge | | **Niche** | Lower satisfaction + lower market presence | No badge | We built a little game inspired by how software review grids work — dodge bad reviews and push toward Made It: ### Requirements | Requirement | Details | |-------------|---------| | **Minimum reviews** | 10 reviews in the category | | **Category eligibility** | Category must have 6+ products with 10+ reviews and 150+ reviews total | | **Quadrant placement** | Must rank in Leader or High Performer | | **Subscription required?** | Yes — paid plan required to display | | **Update frequency** | Quarterly (Spring, Summer, Fall, Winter) | ### Segment and Regional Grids G2 also publishes segment-specific and regional Grids that only include reviews from corresponding audiences: **Segments:** - Small Business (1-50 employees) - Mid-Market (51-1,000 employees) - Enterprise (1,001+ employees) **Regions:** - Americas, EMEA, Asia Pacific, and specific countries You can earn badges for each Grid where you qualify. **Go deeper:** [G2 Grid Leader](/all-software-awards-and-badges/g2-grid-leader/) and [G2 High Performer](/all-software-awards-and-badges/g2-grid-high-performer/) — what each placement signals to buyers and AI search, and how they differ. **Source:** [Research Scoring Methodologies](https://documentation.g2.com/docs/research-scoring-methodologies) (Updated December 17, 2025) --- ## Badge Type 3: Momentum Grid Badges ### What It Is A specialized badge recognizing products with strong year-over-year growth in user satisfaction, review volume, employee count, social following, and web presence. ### Requirements | Requirement | Details | |-------------|---------| | **Minimum time on G2** | One year since first Grid appearance | | **Metrics tracked** | Employee growth, review volume, social following, web presence | | **Subscription required?** | Yes — paid plan required to display | | **Selection method** | Products with highest positive momentum | ### Why It Takes a Year G2 tracks year-over-year changes. A product can't appear on the Momentum Grid until it has 12 months of historical data from its first Grid report. **Go deeper:** [G2 Momentum Leader — the buyer's breakdown](/all-software-awards-and-badges/g2-momentum-leader/), including how it differs from Grid Leader. **Source:** [Research Scoring Methodologies](https://documentation.g2.com/docs/research-scoring-methodologies) (Updated December 17, 2025) --- ## Badge Type 4: Index Report Badges ### What They Are Specialized badges recognizing performance in specific areas: Usability, Results, Implementation, or Relationship. Each Index uses a different subset of review questions. **Go deeper — buyer breakdowns by Index badge:** [Easiest to Use](/all-software-awards-and-badges/g2-easiest-to-use/), [Best Results](/all-software-awards-and-badges/g2-best-results/), [Best Relationship](/all-software-awards-and-badges/g2-best-relationship/), and [Best Support](/all-software-awards-and-badges/g2-best-support/). ### Requirements | Index | Review Form Questions (in order of importance) | |-------|-----------------------------------------------| | **Usability** | Ease of Use, Ease of Admin, Meets Requirements, User adoption % | | **Results** | Meets Requirements, User adoption %, Estimated ROI, Likelihood to Recommend | | **Implementation** | Time to go live, Ease of Setup, Implementation method, User adoption % | | **Relationship** | Ease of Doing Business With, Quality of Support, Likelihood to Recommend | | Requirement | Details | |-------------|---------| | **Minimum reviews** | 10 reviews in the category | | **Additional requirement** | At least 5 responses to the index-specific questions | | **Subscription required?** | Yes — paid plan required to display | **Source:** [Research Scoring Methodologies](https://documentation.g2.com/docs/research-scoring-methodologies) (Updated December 17, 2025) --- ## Badge Type 5: Best Software Awards ### What They Are Annual recognition awarded each February. G2 publishes lists for Best Software Companies, Best Software Products, and Best Software by Function. ### Requirements | Requirement | Details | |-------------|---------| | **Eligibility period** | Reviews from January 1 - December 31 of prior year | | **Minimum reviews** | 10 reviews during eligibility period | | **Review deadline** | December 31 (for following year's awards) | | **Award announcement** | February 18, 2026 ([2026 awards already announced](/blog/g2-best-software-awards-2026-stack-is-a-river/)) | | **Subscription required?** | Yes — paid plan required to display | ### Best Software Lists G2 publishes [46 Best Software lists](https://company.g2.com/news/g2s-2026-best-software-awards) annually: 1. **Best Software Companies** — Top 100 vendors ranked by weighted Satisfaction and Market Presence 2. **Best Software Products** — Top 100 products across all categories 3. **Best Software by Function** — Top 50 in categories like Sales, Marketing, HR, etc. 4. **Best Agentic AI Products** — New for 2026, recognizing top AI agent solutions 5. **Best ERP Software Products** — New for 2026, recognizing enterprise resource planning leaders 6. **Supplemental lists** — Highest Satisfaction, Fastest Growing, Rookies of the Year **Source:** [G2 2026 Best Software Awards](https://company.g2.com/news/g2s-2026-best-software-awards) --- ## The 2026 Report Schedule G2 releases Grid and Index reports quarterly. Here are the key dates: ### Spring 2026 — Published (March 17, 2026) All Spring 2026 milestones are past. Review deadline was February 17; final reports released March 17. Kept here for reference and so you can calibrate your planning against next Spring's cycle. | Milestone | Date | Status | |-----------|------|--------| | Review Deadline Announcement | January 20, 2026 | Passed | | Category Change Request Deadline | February 10, 2026 | Passed | | **Review Deadline** | **February 17, 2026** | Passed | | Draft Release | February 24, 2026 | Passed | | Draft Edit Request Deadline | March 3, 2026 | Passed | | Final Release | March 17, 2026 | Published | ### Summer 2026 — Published (Final Release: May 26, 2026) Summer 2026 review collection closed on April 28, and [final reports published May 26](/blog/g2-summer-2026-reports/). Kept here so you can calibrate planning against next year's Summer cycle. | Milestone | Date | Status | |-----------|------|--------| | Review Deadline Announcement | March 31, 2026 | Passed | | Category Change Request Deadline | April 21, 2026 | Passed | | **Review Deadline** | **April 28, 2026** | Passed | | Draft Release | May 5, 2026 | Passed | | Draft Edit Request Deadline | May 12, 2026 | Passed | | Final Release | May 26, 2026 | Published | ### Fall 2026 — Review Closed (Final Release: August 25, 2026) Fall 2026 review collection closed July 28; final reports release August 25. Kept here so you can calibrate planning against next year's Fall cycle. | Milestone | Date | Status | |-----------|------|--------| | Review Deadline Announcement | June 30, 2026 | Passed | | Category Change Request Deadline | July 21, 2026 | Passed | | **Review Deadline** | **July 28, 2026** | Passed | | Draft Release | August 4, 2026 | Passed | | Draft Edit Request Deadline | August 11, 2026 | Upcoming | | Final Release | August 25, 2026 | Upcoming | ### Winter 2027 — Next Up (Review Deadline: November 3, 2026) | Milestone | Date | |-----------|------| | Review Deadline Announcement | October 6, 2026 | | **Review Deadline** | **November 3, 2026** | | Final Release | December 1, 2026 | **Source:** [G2 Research Agenda](https://research.g2.com/methodology/research-agenda) --- ## Quick Reference: The Numbers ### Users Love Us (Free to Display) - 20 reviews total - 4.0+ average rating - No deadline — earn anytime ### Grid Badges (Paid Plans Only) - 10 reviews in the category - Rank in Leader or High Performer quadrant - Quarterly deadlines ### Momentum Badge (Paid Plans Only) - 12+ months of G2 Grid history - Strong year-over-year growth ### Index Badges (Paid Plans Only) - 10 reviews in the category - 5+ responses to index-specific questions ### Best Software Awards (Paid Plans Only) - 10 reviews during calendar year - December 31 deadline for following year --- ## Understanding G2's Scoring G2's Grid placement depends on two scores, each with multiple inputs. For a deeper dive into the ranking algorithm and strategies to improve your position, see our [G2 ranking guide](/guides/how-to-get-ranked-on-g2/). ### Satisfaction Score Based on review responses, weighted by: | Factor | Importance | |--------|------------| | **User-focused scores** (Ease of Use, Meets Requirements, Quality of Support) | High | | **Admin-focused scores** (Ease of Admin, Ease of Setup, Ease of Doing Business With) | Medium | | **General satisfaction** (Likelihood to Recommend, Direction of Product) | Low | | **Review recency** — newer reviews count more | High | | **Review quality** — thorough reviews count more | Medium | | **Review source** — [organic reviews](/glossary/organic-reviews/) count more than incentivized | Low | ### Market Presence Score Based on company metrics: | Factor | Importance | |--------|------------| | **Review count** (weighted by recency and quality) | High | | **Employee count** (from ZoomInfo, LinkedIn, Crunchbase) | High | | **Estimated revenue** | Medium | | **Web presence** (Moz authority, search volume, traffic) | Medium | | **Growth metrics** (employee growth, Crunchbase rank) | Low | ### Review Decay G2 applies a decay curve to reviews over time: - Reviews maintain strong weight for the first 18 months - Decay accelerates after 18 months - After ~3 years, reviews reach ~3% of original weight - Decay resets if a reviewer updates their review **Source:** [Research Scoring Methodologies](https://documentation.g2.com/docs/research-scoring-methodologies) (Updated December 17, 2025) --- ## What Changed in 2025-2026 1. **Badge display now requires paid plans** — Starting Summer 2025, only vendors with paid subscriptions can publicly use Grid, Momentum, Index, and Award badges. Free profiles retain access to "Users Love Us" and textual references only. 2. **Pricing formalized** — G2 Brand Starter starts at $2,999/year (first year), increasing to $5,999/year in year two. Professional and Enterprise tiers require contacting sales. 3. **G2 acquired Capterra, GetApp, and Software Advice** — The [acquisition closed February 5, 2026](/blog/g2-capterra-acquisition-closed/). The three former Gartner Digital Markets platforms now operate under G2 as **G2 Digital Markets**. Capterra badges remain free to display for now. G2 has signalled that review syndication between G2 and G2 Digital Markets is expected next, but badge-program unification has no announced timeline. [Compare vendor pricing across the two sides](/blog/g2-capterra-vendor-pricing-compared/) for context. 4. **Two new Best Software Award categories for 2026** — G2 introduced [Best Agentic AI Products and Best ERP Software Products](https://company.g2.com/news/g2s-2026-best-software-awards) as new award categories, reflecting the growing importance of AI agents and enterprise systems. For a deeper analysis of what the 2026 awards reveal about the B2B software landscape, see [What G2 Software Awards and Chiefmartec Teach Us About B2B Marketing](/blog/g2-best-software-awards-2026-stack-is-a-river/). --- ## G2 Subscription Pricing Here's what G2's paid plans cost (as of August 2025): | Plan | Price | Who It's For | |------|-------|--------------| | **Free** | $0 | Basic profile, "Users Love Us" badge only | | **Starter** | $2,999/year (Year 1), $6,000/year (Year 2+) | Small businesses (1-50 employees) wanting full badge access | | **Professional** | Contact sales | Enhanced branding, profile visitor data, review management | | **Enterprise** | Contact sales | Multi-product companies, market intelligence | **What you get with paid plans:** - Use all awarded report-based, milestone, and annual badges - Display badges on G2 profile - Custom branded profile with competitors removed - Gift card credits for review campaigns ($100-$1,000 depending on tier) - Review collection via G2-managed campaigns **Source:** [G2 Pricing Guide](https://sell.g2.com/hubfs/plans/External%20Pricing%20Guide%20PDF%20FY26.pdf) (August 2025) --- ## G2 vs. Capterra Badges: Which to Prioritize? If you're deciding where to invest your review collection efforts: | Factor | G2 | Capterra | |--------|----|---------| | **Cost to display badges** | $2,999+/year | Free | | **Review minimum for badges** | 10 (Grid), 20 (Users Love Us) | 10-20 depending on badge | | **Quarterly deadlines** | Yes | Yes (by category group) | | **Free badge option** | Users Love Us only | Star Rating, Best of (if earned) | | **Market position** | Larger buyer audience | Now owned by G2 | **Our take:** If budget is tight, Capterra badges offer more recognition opportunities without subscription cost. If you're already planning to pay for G2's buyer intent data or other features, adding badge access makes sense. And with G2 now owning Capterra, GetApp, and Software Advice (acquisition [closed February 2026](/blog/g2-capterra-acquisition-closed/)), this landscape may shift — we'll update as it does. For a detailed feature-by-feature comparison of what each platform charges for, see: [G2 vs Capterra Vendor Pricing: Access vs Results](/blog/g2-capterra-vendor-pricing-compared/) See also: [How Capterra Awards and Recognition Work](/guides/how-to-earn-capterra-badges/) --- ## Step-by-Step: Earning Your First G2 Badge ### Step 1: Create Your Profile Create your product profile on G2 (you can do this with [Blastra](/auth/sign-up)). ### Step 2: Check Your Categories Category placement is automated on G2. But you can request updates (again, if you manage your profile with Blastra, we can handle it for you). Once your profile is live (or if it already is), check which [categories](/glossary/categories/) your product is listed in. You'll need 10+ reviews per category to appear on that category's Grid. If your product includes AI capabilities, check whether there's an [AI-specific category](/guides/how-g2-ai-categories-work/) that fits — G2 created nearly 30 between 2025 and early 2026, and many still have low competition. ### Step 3: Set Your Target **For "Users Love Us" (free):** - Need: 20 reviews with 4.0+ average - Timeline: Depends on your customer base and review velocity **For Grid badges (requires paid plan):** - Need: 10+ reviews before quarterly deadline - Timeline: Next deadline is July 28, 2026 (Fall reports). Summer 2026 closed April 28. ### Step 4: Collect Reviews G2 offers several review collection methods: - Review page links (free) - Widgets and buttons (Starter+) - G2-managed campaigns with incentives (Starter+) - API integrations (Professional+) If you manage your G2 profile on Blastra, grab your reviews link under your G2 listing record. For review campaign best practices, see our guide on [how to get G2 and Capterra reviews](/guides/how-to-get-g2-capterra-reviews/). For the rules governing what you can offer and the FTC's exposure if you run an outside program, see [safe B2B SaaS review collection](/guides/b2b-saas-review-collection-rules). ### Step 5: Decide on Subscription If you qualify for Grid badges and want to display them: - Evaluate whether the $2,999+/year cost fits your budget - Consider whether you'll use other paid features (buyer intent data, profile visitor tracking, etc.) - If budget is constrained, focus on "Users Love Us" first --- ## Adding Badges to Your Website Once you have badge access: 1. Go to **my.G2** → **Marketing Content** → **G2 Badges** 2. Filter by category and reporting season 3. Choose **Copy embed** for website placement, or download PNG/SVG files 4. Badges link back to your G2 profile when clicked ### Enabling Star Ratings in Search Results G2 badges can display your star rating in Google search results via schema markup: 1. In my.G2, go to **Marketing Content** → **G2 Badges** 2. Toggle **Include star rating on Google search results** to ON 3. Embed the badge on your website Note: Don't enable this if you already have Product Review schema markup on your site. **Source:** [G2 Badges Documentation](https://documentation.g2.com/docs/g2-badges) (Updated July 16, 2025) --- ## Related Guides - [G2 and Capterra: Vendor Guide After the Acquisition](/guides/how-to-navigate-g2-and-capterra/) — How to navigate two cabinets and pick where to focus reviews after G2 bought Capterra/GetApp/Software Advice - [How Capterra Badges Work](/guides/how-to-earn-capterra-badges/) — Capterra badges are free to display once earned - [How to Get G2 and Capterra Reviews](/guides/how-to-get-g2-capterra-reviews/) — Best practices for review collection campaigns - [How to Improve Your G2 Grid Position](/guides/how-to-get-ranked-on-g2/) — Understanding G2's ranking algorithm - [How SourceForge Badges Work](/guides/how-to-earn-sourceforge-badges/) — Percentile-based awards: top 5% for Leader, top 10% for Top Performer - [Alternatives to G2 for B2B SaaS](/directories/alternatives-to-g2/) — Platforms with free badge display and separate buyer audiences - [How G2 Is Building G2.ai Into an Expertise Marketplace](/blog/what-is-g2-ai/) — Where G2 is heading next: an AI-workflow platform growing in open beta - [Software Directories That Actually Reach Latin America](/blog/software-directories-latin-america/) — Regional coverage beyond G2's North America–heavy audience - [How SoftwareReviews Awards Work](/guides/how-softwarereviews-awards-work/) — Data Quadrant + Emotional Footprint, 130-data-point surveys, free badge display - [SaaS Review Strategy: How to Stand Out Where Others Stay Silent](/guides/how-to-handle-software-reviews/) — Turn reviews into competitive advantage --- ## Source Documentation We reviewed G2's official sources. Here's what to trust: ### Primary Sources (Dated, Reliable) | Source | Date | Notes | |--------|------|-------| | [G2 Badges Documentation](https://documentation.g2.com/docs/g2-badges) | July 16, 2025 | Official feature documentation | | [Research Scoring Methodologies](https://documentation.g2.com/docs/research-scoring-methodologies) | December 17, 2025 | Most detailed methodology | | [G2 Research Agenda](https://research.g2.com/methodology/research-agenda) | Current | Report schedule and deadlines | | [Badge Accessibility Changes](https://company.g2.com/news/badge-accessibility-changes) | April 29, 2025 | Explains paid requirement | | [G2 Pricing Guide PDF](https://sell.g2.com/hubfs/plans/External%20Pricing%20Guide%20PDF%20FY26.pdf) | August 2025 | Detailed pricing and features | ### Secondary Sources (No Date, Use Carefully) | Source | Notes | |--------|-------| | [G2 Trust Badges landing page](https://sell.g2.com/g2-trust-badges) | Marketing page, less detail than documentation | | [G2 Reports page](https://sell.g2.com/reports) | Overview only | --- ## Key Takeaways 1. **Most G2 badges require a paid subscription.** Starting Summer 2025, you need a paid plan ($2,999+/year) to display Grid, Momentum, Index, and Award badges publicly. 2. **"Users Love Us" is still free.** Collect 20 reviews with 4.0+ average to earn this badge without subscription cost. 3. **10 reviews minimum for Grid placement.** Your category also needs 6+ products with 10+ reviews and 150+ total reviews. 4. **Quarterly deadlines matter.** July 28, 2026 for Fall reports is next. Mark it. (Summer 2026 closed April 28.) 5. **Review recency counts.** G2 weights newer reviews more heavily. Reviews decay significantly after 18 months. 6. **Compare to Capterra.** Capterra badges are free to display once earned — consider your budget when deciding where to invest. 7. **G2 now owns Capterra, GetApp, and Software Advice.** The acquisition closed February 2026. The landscape may shift as integration progresses. --- ## About This Guide This guide was created by [Blastra](/about/), a [software listings management](/glossary/software-listings-management/) platform. We help software companies manage their third-party [visibility posture](/glossary/visibility-posture/) across directories like G2, Capterra, and Software Advice — and can [submit and maintain your listings](/directories/submissions-and-management) for you. G2's badge system has changed meaningfully with their new subscription requirements. We wrote this guide so you can understand exactly what you're getting into — and decide whether it's the right investment for your company. --- ## FAQ ### How do G2 trust badges work, and how do vendors earn them? G2 badges come from two sources: Grid report placements (quarterly) and Index report placements (specialized areas like Usability, Results, Implementation, Relationship). You earn a Grid badge by collecting at least 10 reviews in a category and ranking in the Leader or High Performer quadrant based on Satisfaction and Market Presence scores. The Users Love Us badge is earned differently — 20 reviews with a 4.0+ average, no quarterly deadline. Starting Summer 2025, most badges require a paid G2 plan to display in marketing; only Users Love Us remains free to use. ### How do I earn a G2 Leader badge? Three requirements. First, 10+ reviews in your specific category. Second, your category must meet Grid-eligibility thresholds (6+ products with 10+ reviews each, 150+ total reviews). Third, you need to rank in the Leader quadrant — high on both Satisfaction (review-based) and Market Presence (company size, web presence, review volume, third-party data). Grid reports publish quarterly. Next actionable review deadlines: July 28, 2026 (Fall) and November 3, 2026 (Winter 2027). Summer 2026 closed on April 28. Displaying the Leader badge in your marketing requires a paid G2 plan ($2,999+/year). ### How can I license G2 badges for my marketing? Starting Summer 2025, using G2 badges in your marketing requires a paid G2 subscription — Brand Starter at $2,999/year in Year 1 (rising in Year 2), with higher tiers by sales contact. Once subscribed, you access badge graphics in my.G2 → Marketing Content → G2 Badges, filter by category and season, and either copy an embed snippet or download PNG/SVG files. The Users Love Us badge is the one exception — free to display with 20 reviews and 4.0+ average, no subscription required. ### How many reviews do I need for a G2 badge? Depends on the badge. Grid badges (Leader, High Performer): 10+ reviews in the category, plus the category itself needs 6+ products with 10+ reviews each. Users Love Us: 20 reviews with 4.0+ average. Index badges (Usability, Results, Implementation, Relationship): 10 reviews in the category plus 5+ responses to the index-specific questions. Best Software Awards: 10+ reviews during the prior calendar year (up from 1 in the 2025 cycle). ### Is the G2 Users Love Us badge free to display? Yes — it's the only G2 badge that remains free to display after G2's Summer 2025 policy change. Requirements: 20 reviews with a 4.0+ average rating based on Likelihood to Recommend scores. No quarterly deadline, no subscription fee, no limit on use. For free-profile vendors, this is the single badge you can download and put on your website. ### When are G2 badges awarded? Grid and Index badges publish four times a year in quarterly report cycles. 2026 review deadlines: February 17 (Spring), April 28 (Summer), July 28 (Fall), November 3 (Winter 2027). Best Software Awards publish annually in February — the eligibility window is the prior calendar year (January 1 to December 31). Users Love Us has no cycle; you earn it as soon as you qualify. ### Can I earn G2 badges with a free profile? You can earn Grid placements with a free profile — your product appears on the Grid if you qualify. But since Summer 2025, you can't publicly display Grid, Momentum, Index, or Award badges in marketing materials without a paid subscription. Free profiles retain two things: textual references ("we ranked as a Leader") and the Users Love Us badge. If budget is constrained and badge display matters, [Capterra badges are currently free to display](/guides/how-to-earn-capterra-badges/) — though with G2's acquisition of Capterra closed in February 2026, this could eventually change. --- *Last updated: June 1, 2026. This guide reflects publicly available G2 documentation including the [2026 Best Software Awards announcement](https://company.g2.com/news/g2s-2026-best-software-awards). G2 may update their programs, especially given their acquisition of Capterra, GetApp, and Software Advice (closed February 2026). Verify against official sources for the most current requirements.* --- # How to Earn Capterra Badges: Requirements (2026) URL: https://blastra.io/guides/how-to-earn-capterra-badges/ Description: Capterra badges guide for 2026: 20 reviews minimum, 4.5+ ratings required. Category deadlines, Shortlist methodology, and full badge requirements ## TL;DR All three 2026 Capterra badge deadlines have now passed (September 30, December 31, and March 31). Reviews submitted after March 31, 2026 will count toward the next badge cycle — but no 2027 schedule has been published yet. With G2's acquisition of Capterra now closed, the next cycle's timing and rules are uncertain. Start collecting reviews now so you're ready whenever the next cycle is announced. Aim for 20 reviews with 4.5+ ratings on Ease of Use, Value for Money, and Customer Support. --- ## Why Capterra Badges and Awards Matter for SaaS Companies Badges and awards are trust signals that affect how [buyers](/glossary/buyer/) find SaaS products. When someone is comparing five similar tools on Capterra, the one with a "Best Ease of Use 2026" award stands out. It's third-party validation — not you saying you're good, but Capterra confirming you earned a spot in the top 25%. **Where badges help your [visibility posture](/glossary/visibility-posture/):** - **On Capterra** — Badge holders appear more credible in search results and software comparison pages - **On your website** — You can embed badge graphics as social proof - **In sales materials** — Decks, emails, proposals — anywhere you need quick credibility - **In [AI search results](/glossary/aeo/)** — AI systems increasingly use third-party data signals when recommending software; badges indicate quality. (See [how directories feed AI and SEO](/blog/b2b-software-directories-ai-seo-strategy/).) Badges won't transform your business overnight. But in competitive categories where buyers are researching software, they're one more reason to choose you over the alternative. (For more on why directories matter, see [What Are Software Directories?](/blog/what-are-software-directories/)) --- ## How to Get Capterra Badges in 2026 All three 2026 badge cutoffs have now passed. No 2027 schedule has been announced — the program's future depends on how G2 integrates Capterra's badge system after the February 2026 acquisition. **What to do now:** 1. **Keep collecting reviews** — reviews submitted now will count toward the next cycle whenever it's announced 2. **Aim for 20+ [verified reviews](/glossary/review-verification/)** from real customers 3. **Ask reviewers to rate specific attributes** — Ease of Use, Value for Money, Customer Support 4. **Target 4.5+ average ratings** on those attributes Building your review base now means you'll be ready for the next badge cycle, whether it follows the same Capterra methodology or a new G2-integrated program. --- ## Why We Wrote This Guide Capterra has badge requirements spread across *eight different pages* on two different websites. And they don't all say the same thing. One page says 10 reviews. Another says 20. One says 12 months. Another says 24. Some pages have no publication date, so you can't tell if you're reading current methodology or something from 2023. We cross-referenced every official source. The table at the end catalogs all of them — which ones have dates, which ones conflict, and which ones you should trust. **A note on Capterra's family:** This guide focuses on Capterra [listing](/glossary/listing-or-profile/) optimization. Capterra, GetApp, and Software Advice are sister platforms that share the same review database — one review on Capterra automatically appears on the other two. All three are [now owned by G2](/blog/g2-capterra-acquisition-closed/) (acquired from Gartner in February 2026). The badge programs are similar but not identical across platforms. We'll note the differences where they matter. **UPDATE: G2 Acquisition:** G2's acquisition of Capterra, GetApp, and Software Advice from Gartner Digital Markets [appears to have closed as of February 5, 2026](/blog/g2-capterra-acquisition-closed/). Badge programs, review policies, and platform [features](/glossary/features/) may change as a result of this transition. We'll continue monitoring and updating this guide as details emerge. For now, all information below remains current and accurate. (For G2's badge program, see our [G2 badges guide](/guides/how-to-earn-g2-badges/).) --- ## The Three Capterra Badge Types (Awards) Capterra and its sister platforms offer three types of badges (sometimes called awards or recognition programs): | Badge Type | What It Shows | Key Requirement | When You Get It | |------------|---------------|-----------------|-----------------| | **Star Rating Badge** | Your average star rating (e.g., "4.6 stars") | 5+ reviews (all time) | Automatic once you qualify | | **"Best of" Badge** | Annual award for specific attributes | 10 reviews in 12 months, 4.5+ rating, top 25% | Annual — you're notified if you win | | **Shortlist Badge** | You made the Capterra Shortlist report | 20 reviews in 24 months + U.S. presence | Annual — you're notified if you qualify | **There's also "Best Product Lists."** These aren't badges — you can't download or display them. They're labels on Capterra's category pages ("Highest Rated," "Highly Rated for Ease of Use"). They affect how buyers discover your software on Capterra, but you can't use them in your own marketing. We cover them separately. --- ## Badge Type 1: Star Rating Badges ### What It Is The simplest badge. It displays your current average star rating across all reviews. Each platform (Capterra, GetApp, Software Advice) has its own version. ### Requirements | Requirement | Details | |-------------|---------| | **Minimum reviews** | 5 published reviews (all time) | | **Rating shown** | Average across all your reviews | | **Updates** | Automatically as new reviews come in | ### Why It Matters This is basic social proof for B2B software discovery. Even if you don't qualify for competitive badges, you can display your star rating once you have 5 reviews. **Go deeper:** [Capterra Star Rating](/all-software-awards-and-badges/capterra-star-rating/) — what the rating reflects, how it updates, and what it signals to buyers comparing your listing against competitors. **Source:** [GDM How to Get Badges](https://digitalmarkets.gartner.com/help-center/marketing-content/how-to-get-badges) (Published April 27, 2026) --- ## Badge Type 2: "Best of" Badges ### What It Is Annual awards recognizing products with the highest ratings on specific attributes. These are competitive — awarded to the top 25% of products that meet the minimum threshold. **On Capterra:** - Best Ease of Use - Best Value **On Software Advice:** - Best Customer Support - Most Recommended (Same methodology, different badges per platform. Your reviews count toward both since they share a database.) **Go deeper:** [Capterra Best Ease of Use](/all-software-awards-and-badges/capterra-best-ease-of-use/), [Capterra Best Value](/all-software-awards-and-badges/capterra-best-value/), [Capterra Best Functionality](/all-software-awards-and-badges/capterra-best-functionality/), and [Capterra Best Customer Support](/all-software-awards-and-badges/capterra-best-customer-support/) — the attribute each badge measures, how the top-25% threshold works in practice, and what the badge tells buyers about your product's strengths. ### Requirements | Requirement | Details | |-------------|---------| | **Minimum reviews** | 10 published reviews rating the specific attribute | | **Review window** | 12 months prior to the cutoff date | | **Minimum rating** | 4.5 out of 5 average on that attribute | | **Selection** | Top 25% of products meeting the 4.5 threshold | | **Category fit** | Confirmed as relevant by Capterra's research analysts | | **Category minimum** | Category must have at least 10 qualifying products | ### Understanding Cutoff Dates **What's a cutoff date?** The deadline for reviews to count toward a specific badge cycle. Reviews published after the cutoff count toward *next* cycle, not this one. **The cutoff varies by [category](/glossary/categories/).** Categories are grouped, and each group has its own cutoff: | Badge Publication | Review Cutoff | Example Categories | Status | |-------------------|---------------|-------------------|--------| | **January 2026** | September 30, 2025 | CRM, Help Desk, HR, Email Marketing, Project Management | ❌ Too late for 2026 | | **April 2026** | December 31, 2025 | Grant Management, Construction Payroll, Chiropractic | ❌ Too late for 2026 | | **July 2026** | March 31, 2026 | Marketing Automation, eCommerce, AI, Cybersecurity | ❌ Cutoff passed | Your product might be listed in multiple categories with different cutoffs. All three groups have now passed their 2026 deadlines. Check which categories you're in so you know when your reviews were last evaluated. ### Why You Might Not Get a Badge From the official FAQ: 1. Not enough reviews in the 12-month window (minimum 10) 2. Average rating below 4.5 on the relevant attribute 3. Not in the top 25% of qualifying products 4. Category doesn't have at least 10 qualifying products If your listing was rejected or you're having issues, see our [Capterra rejection and appeal guide](/guides/how-to-appeal-capterra-rejection/). **Sources:** - [GDM How to Get Badges](https://digitalmarkets.gartner.com/help-center/marketing-content/how-to-get-badges) (April 27, 2026) - [Gartner "Best of" Badge Methodology](https://www.gartner.com/en/digital-markets/best-badges-methodology) - [GDM Reports and Badges FAQs](https://digitalmarkets.gartner.com/help-center/marketing-content/reports-and-badges-faqs) (May 15, 2024) --- ## Badge Type 3: Capterra Shortlist Badges ### What It Is The Capterra [Shortlist](/glossary/shortlist/) is a research report — a scatter plot [ranking products](/glossary/rating-and-ranking/) by Ratings (x-axis) and Popularity (y-axis). When you qualify for the Capterra Shortlist report, you also earn the Shortlist badge. Software Advice has an equivalent called "FrontRunners" with the same requirements. **Go deeper:** [Capterra Shortlist](/all-software-awards-and-badges/capterra-shortlist/) — how the scatter-plot methodology scores Ratings vs. Popularity, and what earning a Shortlist placement signals to buyers and AI search about your market standing. ### Requirements | Requirement | Details | |-------------|---------| | **Minimum reviews** | 20 unique verified reviews | | **Review window** | 24 months prior to the cutoff date | | **U.S. presence** | Must serve U.S. users (demonstrated through U.S.-based reviews or public info) | | **Industry reviews** | At least 5 reviews from users in the relevant industry | | **Cross-industry relevance** | Product must serve multiple industries (not ultra-niche) | | **Minimum scores** | Must hit minimum thresholds for both Ratings and Popularity (not publicly disclosed) | **A note on "industry" vs. "category":** When reviewers submit reviews, they select their *industry* (Healthcare, Finance, Construction). This is different from *software category* (CRM, Help Desk). "5 reviews in the concerned industry" means you need reviews from people in the industries your software serves. "Cross-industry relevance" means your product can't *only* serve one industry. ### How the Capterra Shortlist Scoring Works **Ratings Score (X-axis):** - Based on overall user ratings from reviews in the past 24 months - Normalized for recency and volume of reviews **Popularity Score (Y-axis):** - Average monthly search volume for your product keywords - Your domain's position on search results for each keyword - Number and recency of reviews Each score is scaled to a maximum of 50. ### Badge Timeline Shortlist badges follow the same publication schedule as "Best of" badges: | Publication | Review Cutoff | |-------------|---------------| | January 2026 | September 30, 2025 | | April 2026 | December 31, 2025 | | July 2026 | March 31, 2026 | ### Watch Out for Outdated Information The page at insights.capterra.com/shortlist-reports shows "10 unique [user reviews](/glossary/user-reviews/)" and "12 month analysis period." This describes the interactive Shortlist *report tool* eligibility, not *badge* eligibility. For badge eligibility, the current methodology (January 2026) requires **20 reviews** in **24 months**. **Source:** [Capterra Proprietary Data & Research Methodologies](https://www.capterra.com/resources/proprietary-data-research/) (Updated June 24, 2025) — methodology version "January 2026 - present" --- ## Best Product Lists (Not Badges) ### What They Are These aren't badges you can download. They're featured labels on Capterra's category pages: "Highest Rated," "Highly Rated for Ease of Use," "Highly Rated & Affordable." Each list features 5-10 products. These affect how buyers find SaaS products on Capterra, even if you can't use them in your own marketing. ### Requirements | Requirement | Details | |-------------|---------| | **Prerequisite** | Must be on the most recent Capterra Shortlist | | **Review window** | 24 months (same as Shortlist) | | **Minimum rating** | 4.0 out of 5 (lower than "Best of" badges' 4.5) | | **Minimum reviews** | 10 reviews rating the specific attribute | ### Types of Distinctions 1. **Highest Rated** — Best overall rating (products receiving this can't get other distinctions) 2. **Highest Rated for [sub-sector]** — For products serving a specific market segment 3. **Highly Rated & Free** — Highest rating among products with free version/trial 4. **Highly Rated & Affordable** — Lowest starting price among eligible products 5. **Highly Rated for [Attribute]** — Based on Ease of Use, Value for Money, Customer Support, or Functionality ratings ### How It Differs from "Best of" Badges | Criteria | "Best of" Badges | Best Product Lists | |----------|------------------|-------------------| | Shortlist required? | No | Yes | | Review window | 12 months | 24 months | | Minimum rating | 4.5 | 4.0 | | Selection method | Top 25% | Products with most reviews prioritized | | Can you display it? | Yes (badge graphic) | No (on-site label only) | **Source:** [Capterra Proprietary Data & Research Methodologies](https://www.capterra.com/resources/proprietary-data-research/) — "Best Product Lists" methodology "March 2025 - present" --- ## The 2026 Badge Publication Schedule This schedule applies to both "Best of" badges and Capterra Shortlist badges. ### Group 1: January 2026 Publication **Review Cutoff: September 30, 2025** (already passed) Accounting, LMS, CRM, Project Management, HR, Help Desk, Email Marketing, Scheduling, Onboarding, Recruiting, Document Management, Time Tracking, Payroll, and 60+ more categories. ### Group 2: April 2026 Publication **Review Cutoff: December 31, 2025** (already passed) Service Dispatch, Grant Management, Construction Payroll, Chiropractic, Fixed Asset, Hotel Management, Medical Spa, and 35+ more categories. ### Group 3: July 2026 Publication **Review Cutoff: March 31, 2026** (cutoff passed) Password Management, Marketing Automation, eCommerce, Cybersecurity, Business Intelligence, AI, Live Chat, Data Management, Nonprofit, and 35+ more categories. **Source:** [GDM Badge Publication Schedule 2026](https://digitalmarkets.gartner.com/help-center/marketing-content/gartner-digital-markets-badge-publication-schedule-2026) (Published January 23, 2026) --- ## Quick Reference: The Numbers ### Star Rating Badge - 5+ reviews (all time) - Automatic ### "Best of" Badges - 10 reviews in 12 months on the specific attribute - 4.5+ average rating on that attribute - Top 25% of qualified products - Cutoff varies by category ### Capterra Shortlist Badge - 20 reviews in 24 months - U.S. market presence - 5+ reviews from relevant industry - Cutoff varies by category ### Best Product Lists (not badges) - Must be on Shortlist first - 10 reviews rating the attribute - 4.0+ average (lower than badges) --- ## Cross-Platform Visibility Reviews on Capterra automatically appear on GetApp and Software Advice. From the official FAQ: > "All reviews are combined across the three sites, measured equally, and pulled from a single global database for the Gartner Digital Markets platform." One review collection effort improves your third-party visibility across three platforms. --- ## What Changed in 2026 1. **GetApp Category Leaders discontinued** — No longer offered 2. **Shortlist minimum reduced** — From 10 to 5 products per category (more niche categories now eligible) 3. **Publication schedule formalized** — Categories grouped with specific cutoffs instead of one annual cycle 4. **Earlier cutoffs than expected** — Many major categories used September 30, 2025 cutoff for January 2026 badges --- ## Step-by-Step: Optimizing Your Capterra Listing for Badges ### Step 1: Find Your Category's Deadline Check the [GDM Badge Publication Schedule 2026](https://digitalmarkets.gartner.com/help-center/marketing-content/gartner-digital-markets-badge-publication-schedule-2026) to see which group your category was in. All three 2026 cutoffs have now passed. No 2027 schedule has been published — start building your review base now so you're ready when the next cycle is announced. ### Step 2: Check Your Current Position Log into your Capterra vendor account and check: - Total review count - Reviews from past 12 months (for "Best of") - Reviews from past 24 months (for Shortlist) - Ratings by attribute ### Step 3: Set Your Target **Tier 1 — Star Rating Badge:** - Need: 5 reviews total - Timeline: 1-2 weeks of active collection **Tier 2 — Shortlist eligibility:** - Need: 20 reviews in 24 months - Timeline: 2-6 months depending on starting point **Tier 3 — "Best of" Badges:** - Need: 10 reviews in 12 months with 4.5+ on specific attributes - Timeline: Requires consistent high-quality reviews ### Step 4: Collect Reviews Running a [review campaign](/glossary/review-campaign/) takes some coordination. Here's who can leave reviews and how to ask. (For the full rules, see our [G2 and Capterra Reviews guide](/guides/how-to-get-g2-capterra-reviews/).) **Who can review:** - Current users with direct product experience - Past users (within the past year) - Free trial users - Employees at customer companies who use the product **Best practices:** - Request reviews after positive interactions - Use direct links to your Capterra review form (if you manage your Capterra listing with Blastra, you can grab your reviews link from your Blastpad) - Never condition requests on positive reviews — [incentivized reviews](/glossary/incentivized-reviews/) violate platform guidelines - Respond to all reviews (it's free) --- ## Related Guides - [G2 and Capterra: Vendor Guide After the Acquisition](/guides/how-to-navigate-g2-and-capterra/) — How to navigate two cabinets and pick where to focus reviews after G2 bought Capterra/GetApp/Software Advice - [G2 vs Capterra Vendor Pricing Compared](/blog/g2-capterra-vendor-pricing-compared/) — Feature-by-feature breakdown of what's free and what costs money on each platform - [How G2 Badges Work](/guides/how-to-earn-g2-badges/) — G2 badges require paid subscriptions ($2,999+/year) to display - [G2 Summer 2026 Reports: What the Numbers Mean for Vendors](/blog/g2-summer-2026-reports/) — The latest quarterly Grid results and category shifts - [Alternatives to G2 for B2B SaaS](/directories/alternatives-to-g2/) — Platforms beyond G2 Digital Markets with free badge display and separate buyer audiences - [How to Get G2 and Capterra Reviews](/guides/how-to-get-g2-capterra-reviews/) — Best practices for review collection campaigns - [Safe B2B SaaS Review Collection](/guides/b2b-saas-review-collection-rules) — Cross-platform incentive rules and the FTC's Fake Reviews Rule - [How to Improve Your G2 Grid Position](/guides/how-to-get-ranked-on-g2/) — Understanding G2's ranking algorithm and scoring factors - [How SourceForge Badges Work](/guides/how-to-earn-sourceforge-badges/) — Percentile-based awards: top 5% for Leader, top 10% for Top Performer - [Trustpilot Guide: How TrustScore Recognition Works](/guides/how-trustpilot-recognition-works/) — B2B SaaS guide to Trustpilot's recognition program - [How SoftwareReviews Awards Work](/guides/how-softwarereviews-awards-work/) — Data Quadrant + Emotional Footprint, 130-data-point surveys, free badge display - [SaaS Review Strategy: How to Stand Out](/guides/how-to-handle-software-reviews/) — Turn reviews into competitive advantage --- ## Source Documentation We reviewed every official source. Here's what to trust: ### Primary Sources (Dated, Reliable) | Source | Date | Notes | |--------|------|-------| | [GDM How to Get Badges](https://digitalmarkets.gartner.com/help-center/marketing-content/how-to-get-badges) | Apr 27, 2026 | ✅ Most comprehensive | | [GDM Badge Publication Schedule 2026](https://digitalmarkets.gartner.com/help-center/marketing-content/gartner-digital-markets-badge-publication-schedule-2026) | Jan 23, 2026 | ✅ Essential for deadlines | | [Capterra Proprietary Data & Research](https://www.capterra.com/resources/proprietary-data-research/) | Updated Jun 24, 2025 | ✅ Authoritative methodology | | [GDM Reports and Badges FAQs](https://digitalmarkets.gartner.com/help-center/marketing-content/reports-and-badges-faqs) | May 15, 2024 | ✅ Good FAQ | ### Secondary Sources (No Date, Use Carefully) | Source | Notes | |--------|-------| | [Gartner "Best of" Methodology](https://www.gartner.com/en/digital-markets/best-badges-methodology) | ⚠️ No date, but says "As of 2026" | | [GDM Research Reports](https://digital-markets.gartner.com/research-reports) | ⚠️ Good overview, lacks specifics | ### Outdated Sources (Don't Rely On) | Source | Issue | |--------|-------| | [Capterra Shortlist Reports](https://insights.capterra.com/shortlist-reports) | ❌ Shows 10 reviews/12 months — describes report tool, not badge eligibility | --- ## Key Takeaways 1. **Three badge types exist.** Star Rating, "Best of" awards, and Capterra Shortlist are distinct programs with different requirements. 2. **Cutoff dates vary by category.** September 30, December 31, or March 31 — check which group you're in. 3. **Rating thresholds differ.** "Best of" badges need 4.5; Best Product Lists need 4.0. 4. **GetApp Category Leaders is discontinued** for 2026. 5. **Reviews count across all three platforms.** Capterra, GetApp, and Software Advice share one database. 6. **Start collecting now.** All 2026 cutoffs have passed. No 2027 schedule is published yet, but reviews you collect now will count toward the next cycle. --- ## About This Guide This guide was created by [Blastra](/about/), a SaaS listings management platform. We help software companies manage their third-party visibility across directories like Capterra, G2, and Software Advice. --- ## FAQ ### How do I earn a Capterra badge? Three distinct programs, three different requirement sets. The Star Rating badge is automatic once you have 5 published reviews. "Best of" badges (Best Ease of Use, Best Value on Capterra; Best Customer Support, Most Recommended on Software Advice) require 10 reviews in a 12-month window with a 4.5+ average on the relevant attribute, ranked in the top 25% of qualifying products. The Capterra Shortlist badge requires 20 unique verified reviews in a 24-month window, U.S. market presence, and at least 5 reviews from relevant industries. ### What is the Capterra Shortlist and how do I get on it? The Capterra Shortlist is a research report — a scatter plot ranking products by Ratings (x-axis) and Popularity (y-axis). When your product qualifies for the Shortlist report, you also earn the Shortlist badge. Requirements: 20 unique verified reviews in 24 months, U.S. market presence (demonstrated through U.S.-based reviews or public info), at least 5 reviews from users in the industries your software serves, and cross-industry relevance (not ultra-niche). Your product also has to hit Capterra's minimum Ratings and Popularity score thresholds, which aren't publicly disclosed. ### Are Capterra badges free to display? Yes — as of 2026, Capterra badges are free to download and display on your website, in sales materials, and in marketing campaigns. This is notably different from G2, which [started requiring paid subscriptions to display most badges](/guides/how-to-earn-g2-badges/) in Summer 2025. Whether Capterra's free badge policy survives the G2 acquisition (closed February 2026) is uncertain, but as of now it remains free. ### When does Capterra publish badges? Three publication cycles per year, grouped by category. Group 1 publishes in January (review cutoff: September 30 prior year) and covers CRM, Help Desk, HR, Email Marketing, Project Management, and similar mature categories. Group 2 publishes in April (cutoff December 31) with Grant Management, Construction Payroll, Chiropractic, and similar. Group 3 publishes in July (cutoff March 31) with Marketing Automation, eCommerce, Cybersecurity, AI, and similar. All three 2026 cutoffs have now passed — reviews collected now count toward the next cycle whenever it's announced. ### How does Capterra verify reviews? Capterra uses LinkedIn authentication or work-email verification to tie reviews to real people at real companies using the product. Capterra [pioneered verified reviews almost twenty years ago](https://vistapointadvisors.com/for-founders/sell-company-pursue-priorities-passions), and the model has spread across the industry because it works. Reviews go through moderation before publication. If your listing was rejected or a review is contested, see our [Capterra rejection and appeal guide](/guides/how-to-appeal-capterra-rejection/). ### What's the difference between Capterra, GetApp, and Software Advice awards? All three platforms are sister sites sharing one review database — a review on Capterra automatically appears on GetApp and Software Advice. The badge programs are similar but not identical: Capterra awards Best Ease of Use and Best Value; Software Advice awards Best Customer Support and Most Recommended; GetApp had Category Leaders but discontinued the program for 2026. Capterra's Shortlist has a Software Advice equivalent called FrontRunners. Same methodology, different badge graphics per platform. One review-collection effort improves your visibility across all three. ### How is the Capterra Shortlist different from "Best of" badges? Different windows and different scoring. Best of badges evaluate 12 months of reviews on a specific attribute (Ease of Use, Value, Customer Support) and require a 4.5+ average on that attribute, selecting the top 25%. The Shortlist evaluates 24 months of reviews across Ratings and Popularity (including search volume and domain authority), with a 20-review minimum. Best of badges recognize a specific strength; the Shortlist recognizes overall market standing. ### Why was my product not selected for a Capterra badge? Four common reasons from Capterra's official FAQ: (1) not enough reviews in the 12-month window (minimum 10 for Best of, 20 for Shortlist), (2) average rating below 4.5 on the relevant attribute, (3) not in the top 25% of qualifying products, or (4) the category itself didn't have at least 10 qualifying products so no badges were awarded in it. If your listing was rejected entirely rather than just not badged, our [Capterra rejection appeal guide](/guides/how-to-appeal-capterra-rejection/) covers the appeal process. --- *This guide reflects publicly available methodology documentation as of March 2026. Capterra (now owned by G2) may update their programs. Verify against official sources for the most current requirements.* --- # Capterra Rejection Guide: How to Appeal and Get Listed URL: https://blastra.io/guides/how-to-appeal-capterra-rejection/ Description: A practical, step-by-step guide based on real cases from Blastra customers on how to appeal Capterra rejections and get your product listed successfully. **TL;DR:** If your product was rejected by Capterra, do not give up. Most rejections happen because of category mismatch, not because your product is unfit. By identifying how competitors are categorized and responding correctly to the Gartner Digital Markets catalog team, you can often get approved within days. ## Why a Capterra rejection matters more than it seems [Capterra](https://www.capterra.com/) is one of the most influential B2B software directories. It is now owned by G2 (acquired from Gartner in [February 2026](/blog/g2-capterra-acquisition-closed/)) and shares a unified catalog with [GetApp](https://www.getapp.com/) and [Software Advice](https://www.softwareadvice.com/). These three platforms were formerly known as the Gartner Digital Markets (GDM) network. If your product is rejected by Capterra, it will not appear on GetApp or Software Advice either. That means [losing visibility across three tier-1 directories](/blog/b2b-software-directories-ai-seo-strategy/) at once. For most B2B SaaS companies, especially those targeting SMBs and mid-market buyers, this is a serious setback. The only common exception is enterprise-only vendors—for example, [cybersecurity companies, who are often better served by other directories](/blog/top-software-directories-cybersecurity-companies/) like Gartner Peer Insights. ## Real cases from Blastra customers Recently, Blastra handled Capterra's listing rejections for two different customers. - Both were established B2B SaaS companies - Both had paying customers and live products - Both operated in the design and creative automation domain In both cases, the initial Capterra submission was rejected. After escalation and structured follow-up by Blastra, both products were successfully added to the GDM catalog. What made the difference was understanding how the categorization process actually works and how to respond correctly. ## Common reasons Capterra rejects listings ### The product is not live If your product is still in private beta or waitlist mode, Capterra will reject it. If early visibility matters, prioritize directories that allow pre-launch listings. Among major platforms, G2 is the most permissive. ### No website A public website that correctly presents your product is mandatory. If a product is not reflected on the website or not described clearly, fix this and resubmit. ### No clear category fit This is the most common and most solvable reason for rejection. It is also the focus of this guide. ## How the Capterra review process actually works 1. You apply for a vendor account on the [Gartner Digital Markets (GDM) website](https://digitalmarkets.gartner.com/get-listed/start) 2. You submit basic company and product details, without detailed functionality breakdowns or marketing descriptions 3. You do not select categories at this stage 4. Your submission is treated as an application to open a vendor account and will be reviewed by the Capterra catalog team 5. During the review, the team looks at your website and maps your product to existing categories based on their internal taxonomy This is a very important part. Each software directory has [its own taxonomy](https://www.capterra.com/categories/)—a tree-like structure with categories and subcategories. These systems are proprietary, constantly evolving, and tied to specific feature requirements. A modern product can fail review simply because its positioning does not match how a category is defined internally. ## What a typical rejection looks like You may receive a short message from Gartner like this: > "We have reviewed [Product Name], and based on the primary features, your product is not eligible to be listed in one of our existing categories." No details are provided about which categories were evaluated or which requirements were missing. At this point, many teams stop. That is a mistake. This is exactly where you need to start working. ## How to appeal a Capterra rejection: step by step ### Step 1. Identify competitors already listed Before you reply, go to Capterra and find two to three direct or adjacent competitors. ### Step 2. Document their categories For each competitor: - Note the current category shown in the breadcrumb navigation - Check additional categories under "What is [Product Name] used for?" ### Step 3. Prepare an appeal email Reply to the rejection email you received or write to: **crm.gdm@gartner.com** CC: **gdmcatalogteam@gartner.com** **Email template:** ``` Dear Catalog Team, We received a rejection regarding the submission of [Product Name] to Gartner Digital Markets. We believe this may be a mistake. Our competitors [Company A, Company B, Company C] are listed on Capterra under the categories [Category 1, Category 2]. Here are links to their listings: [links]. [Product Name] offers similar functionality and serves the same use cases. We kindly request reconsideration for inclusion under the mentioned categories. Best regards, [Name] ``` ### Step 4. What to expect after you reply - They usually respond within a couple of days - They review your submission and your website, so assume nothing is overlooked ### Step 5. Understand their requirements Once they engage, they will explain: - For which category(es) your product was evaluated - Which must-have features were considered missing or unclear from your website - If they can consider you for additional categories where your competitors are listed and what functionalities your product is expected to have in order to fit The requested features may sound oddly named or outdated. Using ChatGPT here is often helpful just to understand what is required. ### Step 6. Pick one category to win Do not try to qualify for every category where your competitors are present. You only need one approved category to enter the catalog. Additional categories can be requested later, and the process will be the same. ### Step 7. Provide proof Send one of the following: - A short screen-recorded walkthrough - Annotated screenshots - Links to relevant sections of your website or product documentation Explain clearly where the required functionality exists and how it works. ### Step 8. Ask for the specific category Be explicit about the category you are requesting. ### Step 9. Wait for approval In our experience, the GDM catalog team works fast. Approvals often arrive within one business day. Best of luck! ## Final note Capterra rejection is rarely a dead end. In most cases, it reflects a taxonomy mismatch combined with missing context. If you want help managing this process end to end, [Blastra works with B2B SaaS companies on directory submissions](/how-it-works/) and ongoing [software footprint management](/glossary/software-footprint-management/). Our [done-for-you directory submission service](/directories/submissions-and-management) covers the appeal, the resubmission, and keeping the listing current afterward. ## FAQ ### Can I reapply to Capterra after being rejected? Yes — a rejection is not final. Most successful appeals happen through direct email follow-up with the catalog team at crm.gdm@gartner.com. ### Can I suggest multiple categories? You can, but approval comes faster when you focus on one clear primary category. Additional categories can be requested after initial approval. ### How long does the appeal process take? One to three business days once your appeal includes competitor examples and clear category fit. Responses typically arrive quickly when the appeal is structured properly. ### Is Capterra free? Yes. Capterra offers free listings alongside optional pay-per-click and pay-per-lead advertising models. ### Will approval on Capterra list me on GetApp and Software Advice? Yes. One approval gets you into the shared GDM catalog across all three directories. After approval, focus on [collecting reviews](/guides/how-to-get-g2-capterra-reviews/) and [earning badges](/guides/how-to-earn-capterra-badges/). ### How can Blastra help? [Blastra operates via a done-for-you model](/pricing/) — we handle directory submissions and appeals for B2B software companies. --- ## Related Guides - [How to Get G2 and Capterra Reviews](/guides/how-to-get-g2-capterra-reviews/) — After approval, learn how to collect reviews and meet verification requirements - [How Capterra Badges Work](/guides/how-to-earn-capterra-badges/) — Complete guide to earning Capterra badges: requirements, deadlines, and optimization strategies - [How G2 Badges Work](/guides/how-to-earn-g2-badges/) — G2 badges require paid plans; understand what's free vs paid - [How SourceForge Badges Work](/guides/how-to-earn-sourceforge-badges/) — Percentile-based awards for top 5% (Leader) and top 10% (Top Performer) --- # How to Get Reviews on G2 and Capterra: A Vendor Guide (2026) URL: https://blastra.io/guides/how-to-get-g2-capterra-reviews/ Description: Step-by-step guide to getting reviews on G2 and Capterra. Verification requirements, character minimums, incentive options, and strategies for B2B SaaS teams. B2B software buyers use G2 and Capterra as key touchpoints when researching software. AI tools increasingly reference these platforms when users ask for software recommendations—understanding [how AI discovery shapes B2B software visibility](/blog/b2b-software-directories-ai-seo-strategy/) is now essential. Star ratings and what customers actually say in reviews make an impact on purchase decisions. We can't measure the exact influence, but we know it works. Getting quality reviews on these platforms requires understanding their specific requirements and processes. At Blastra, we see that [consistent, updated directory profiles](https://blastra.io) amplify the impact of high-quality reviews across G2, Capterra, and other software discovery platforms — or you can [have us handle the directory submissions](/directories/submissions-and-management) entirely. ## The Short Version Getting reviews on G2 and Capterra (now G2 Digital Markets) follows the same shape on both platforms: claim the profile, verify each reviewer, meet the minimums, and keep new reviews coming in. - **Claim and verify first.** Both platforms require every reviewer to confirm identity through a corporate email or a LinkedIn profile. On G2, reviewers using a personal email also upload a screenshot proving they use your product. - **Know the minimums.** G2 accepts reviews of 40 characters per section; Capterra requires 100. Both platforms want at least 10 reviews before you show up well on the Grid or the Shortlist. - **Plan for the wait.** Approval takes up to 3 business days on G2 and up to 5 on Capterra, and up to 2 weeks for organic Capterra submissions, so start any campaign at least two weeks before a deadline. - **Keep it recent.** G2 weights the past 18 months more heavily and Capterra looks at the past 24 months, so a steady trickle of reviews beats a one-time push. - **Incentivize the act, never the rating.** Capterra allows gift cards up to $25 for submitting a review, and paying for positive sentiment or fake reviews breaks both platforms' rules and can get your profile suspended. Our [review-collection rules](/guides/b2b-saas-review-collection-rules) cover the full boundaries. ## What Changed in 2026: G2 Now Owns Capterra Before you plan a review strategy, this is the single most important operational change to know about: G2 [completed its acquisition](/blog/g2-capterra-acquisition-closed/) of Capterra, GetApp, and Software Advice in February 2026. The three former Gartner Digital Markets platforms now operate under G2 as **G2 Digital Markets**, while G2 itself remains a separate, parent-level platform. What this means for reviews today: - **Capterra reviews already syndicate** across GetApp and Software Advice. One review submitted on Capterra appears on all three platforms automatically. This has been the case since the Gartner era and didn't change with the G2 acquisition. - **G2 reviews and G2 Digital Markets reviews remain separate.** A Capterra review does *not* appear on G2, and a G2 review does *not* appear on Capterra/GetApp/Software Advice. For now, you have to collect on both sides if you want coverage on both. - **Review syndication between G2 and G2 Digital Markets is expected next.** G2 has signalled that consolidating reviews across the full portfolio is part of the unification roadmap, though no timeline has been published. When it happens, a single review is likely to carry further — which is another reason to build volume on both sides now rather than wait. For [the strategic rationale behind the acquisition](/blog/g2-capterra-acquisition-vendor-strategy/) and [how vendor pricing compares](/blog/g2-capterra-vendor-pricing-compared/) across the two sides, see our related coverage. For the rest of this guide, treat G2 and Capterra as two separate workflows — because operationally they still are. ## Understanding the Review Process Both G2 and Capterra take review authenticity seriously, implementing verification processes that take up to 3 business days on G2 and 5 business days on Capterra for vendor-sourced reviews (organic Capterra submissions can take up to 2 weeks). The time investment for customers is significant — each review takes 10-15 minutes to complete properly — so it's crucial to understand exactly what's required. We built a little game inspired by how software review grids work — see how one bad review can knock you down a quadrant: ### Verification Requirements **Both Platforms:** - Corporate email verification or LinkedIn profile connection - Manual review process with 3-5 day approval time - Identity verification to prevent fake reviews **G2 Specific:** - Screenshot requirement when the reviewer uses a personal email instead of a business email or LinkedIn — the screenshot earns a "Current User" label on the review - More stringent verification process - Optional voice review and AI chat features (though [we tested these and don't recommend them](/blog/g2-ai-reviews-voice-chat-problems/) as of early 2026) **Capterra Specific:** - No screenshot requirement - Slightly streamlined verification process - Integration with sister properties GetApp and Software Advice (all now owned by G2) ## Platform Integrity Measures Both platforms watch review quality carefully to prevent companies from gaming the system, and they really put effort into not approving fabricated reviews. However, there's a whole industry of people who make a business out of writing fake reviews and earning incentives by giving reviews across multiple platforms. As a result, reviews from generic email addresses like Gmail face additional verification requirements — G2 requires a screenshot upload, and both platforms apply higher scrutiny to personal email submissions. We do not recommend trying to pay for fake reviews, as this can damage your reputation on these platforms and potentially get your company profile flagged or suspended. ## Essential Review Components to Prepare The most time-consuming part of the review process involves the written sections that require thoughtful responses. Here's what your customers need to prepare: ### Review Title Both platforms require a short sentence summarizing the customer's experience. This appears prominently and often determines whether prospects read the full review. ### What You Liked Most - **G2:** Minimum 40 characters - **Capterra:** Minimum 100 characters This section should highlight specific features, benefits, or outcomes that made the biggest positive impact on the user's work or business. ### What You Liked Least - **G2:** Minimum 40 characters - **Capterra:** Minimum 100 characters Even satisfied customers usually have constructive feedback. This section actually builds credibility when handled thoughtfully — no software is perfect, and honest critiques make reviews more trustworthy. ### Overall Experience - **G2:** Minimum 40 characters - **Capterra:** Minimum 100 characters This is the opportunity for customers to provide a comprehensive summary of their experience, often touching on implementation, support, results achieved, and whether they'd recommend the software. ## How Many Reviews Do You Need on G2 and Capterra? Both G2 and Capterra prefer at least 10 reviews for optimal visibility and [badge eligibility](/guides/how-to-earn-g2-badges/). On G2, 10 reviews is the minimum to appear on the Grid in most categories, and recency matters — G2 weights reviews from the past 18 months more heavily. On Capterra, 10 reviews within 24 months qualifies you for Shortlist consideration. For competitive categories, aim higher. Products with 50+ reviews dominate Grid positions on G2, and Capterra's ranking algorithms also reward volume. But volume without recency is a losing strategy on both platforms — 15 fresh reviews outperform 50 stale ones. **The AI exception:** Tests we've conducted on AI engines suggest that LLMs do not apply these thresholds the way platform algorithms do. Even if you have just 1-2 reviews, AI chatbots and language models may still quote them when users ask for software recommendations. This means the impact of reviews can be immediate — your first few reviews may start influencing purchase decisions through AI-powered research tools before you've built up the volume that traditional platform algorithms prefer. If your product is AI-native, G2 has created [dedicated AI categories](/guides/how-g2-ai-categories-work/) for specific use cases — many with lower competition than established categories, where even a handful of attributed reviews can put you on the Grid. ## How to Get G2 Reviews G2 reviews revolve around verification and timing. Here's the process that works. **Verification:** Reviewers need a corporate email or LinkedIn profile. Personal email reviewers must upload a screenshot showing them logged into your product — this earns a "Current User" label. G2's verification takes up to 3 business days. **Review campaigns:** G2 offers paid review campaigns through your vendor account. You can also send direct review links to customers. The review form requires minimum 40 characters per section (What You Like Most, What You Dislike, Overall Experience). **Timing with G2 reports:** G2 publishes quarterly Grid reports — [Spring, Summer, Fall, Winter](/guides/how-to-earn-g2-badges/). Reviews submitted before the quarterly deadline count toward that cycle's report. If you're aiming for a specific Grid position or badge, work backward from the deadline and start your campaign at least two weeks early. **Responding to reviews:** On G2, replying to reviews requires a paid plan ($2,999+/year). This is a significant limitation — your customers took time to write about your product, and you can't participate in the conversation without paying. Factor this into your G2 budget planning. ## How to Get Capterra Reviews Capterra's review process is slightly different, and the reach is broader. **Verification:** Capterra also requires corporate email or LinkedIn. No screenshot requirement. Vendor-sourced reviews take up to 5 business days for approval; organic submissions can take up to 2 weeks. Capterra requires 100 characters minimum per section — longer than G2's 40, which tends to produce more substantive reviews. **Incentivized campaigns:** Capterra offers incentivized review campaigns with up to $25 gift cards for approved reviews. Incentives are for the act of reviewing, not for positive sentiment — Capterra is transparent about this distinction. This can be effective for mid-market products but rarely motivates C-level executives. For the cross-platform rules on what you can and can't offer (G2's caps, GPI's $25 ceiling, the FTC's Fake Reviews Rule), see our guide on [safe B2B SaaS review collection](/guides/b2b-saas-review-collection-rules). **Syndication across G2 Digital Markets (GetApp + Software Advice):** A major benefit of Capterra reviews is that they syndicate automatically across its sister properties, GetApp and Software Advice. The three platforms now operate as **G2 Digital Markets** following G2's [February 2026 acquisition](/blog/g2-capterra-acquisition-closed/), so one Capterra review gets you coverage on all three without any extra work. Reviews still do *not* currently syndicate from G2 Digital Markets up to G2 itself — but G2 has signalled that this unification is expected next. Collecting on both Capterra and G2 today means those reviews are already in place when syndication lights up. **Responding to reviews:** Unlike G2, you can respond to Capterra reviews on the free plan. ## Strategic Advice for Getting Reviews on Both Platforms ### Timing Matters The best time to request reviews is immediately after a customer achieves a significant win with your product — whether that's completing implementation, reaching a milestone, or seeing measurable results. Strike while the positive experience is fresh. ### Make It Easy Since reviews require significant time investment, remove as many barriers as possible: - Provide direct links to the review forms - Offer to help customers prepare their responses - Send reminder emails if needed - Consider the character minimums when guiding customers on response length Remember that leaving a comprehensive review is a massive effort for any customer. If your users are C-level executives, they should be hand-held through the entire process — and no $25 gift card will motivate them to complete reviews. For these high-value reviewers, personal outreach, offering to draft initial responses for their approval, or even scheduling brief calls to gather their thoughts can be far more effective. ### Prepare Your Customers Help your customers succeed by preparing them for the process: - Explain the verification requirements upfront - Let them know about the 3-5 day approval timeline - For G2 reviews using personal email, remind them to have a screenshot ready showing them logged into your product - Share the character minimums so they can prepare thoughtful responses ## Conversion Reality: Why Handholding Matters While there's no official industry benchmarking on review conversion rates, a Capterra representative once mentioned on a call that they typically see around 1% conversion from requests to completed reviews. This low conversion rate means if you want reviews, you should really focus on handholding your customers through the entire process rather than simply sending review requests. ## Don't Forget to Respond Once you have reviews, don't forget to respond to them. Engaging with reviewers shows prospects that you're actively involved with your customer community and care about feedback, whether positive or constructive. [Keeping your directory and profile data consistent](https://blastra.io) reinforces review responses and improves buyer trust. ## Quality Over Quantity While review volume matters for [visibility and ranking algorithms](/guides/how-to-get-ranked-on-g2/), quality reviews that provide specific details about use cases, implementations, and results are far more valuable for potential buyers. A detailed review from a customer in the prospect's industry discussing relevant challenges and outcomes will influence purchase decisions more than dozens of generic positive reviews. Focus on encouraging your most engaged, articulate customers to leave reviews rather than trying to maximize the total number of reviews from every customer. ## Key Takeaways 1. **Verification is strict**: Both platforms require corporate email or LinkedIn verification — G2 takes up to 3 business days, Capterra up to 5 (or 2 weeks for organic) 2. **AI amplifies impact**: Even 1-2 reviews can influence AI-powered recommendations immediately 3. **Handholding is essential**: With only 1% conversion rates, personal assistance dramatically improves success 4. **Quality beats quantity**: Detailed, industry-specific reviews influence decisions more than generic praise 5. **Capterra multiplies reach**: Reviews syndicate across GetApp and Software Advice automatically Understanding and respecting these platforms' review processes while providing excellent customer support throughout the review journey will help you build a strong presence on G2 and Capterra that drives real business results. This review strategy is a key component of [building a lasting competitive advantage through directory presence](/blog/directory-strategy-competitive-moat/). --- ## FAQ: Answers to Common Questions ### Why do G2 reviews require screenshots? G2 requires screenshots only when reviewers use a personal email address instead of a business email or LinkedIn. The screenshot shows the reviewer logged into your product and earns a "Current User" label. Capterra doesn't require screenshots at all. ### How long does review approval take? G2: up to 3 business days. Capterra: 5 business days for vendor-sourced reviews, up to 2 weeks for organic submissions. Reviews undergo manual verification checking identity, corporate email, and content quality. Start campaigns at least two weeks before any deadline. ### Can customers leave reviews from personal Gmail addresses? Possible but harder. Both platforms prioritize corporate email verification. On G2, personal email reviewers must upload a screenshot showing product usage. On Capterra, personal email submissions face extra identity research. Business email or LinkedIn verification is easier for everyone. ### What's the minimum character count for G2 vs Capterra reviews? G2 requires 40 characters minimum per section. Capterra requires 100 characters per section. Capterra's longer requirement produces more substantive reviews but needs more preparation time. ### How do I get C-level executives to leave reviews? Skip the gift cards — executives value time, not $25. Offer personal assistance: schedule a brief call, draft the review for their approval, or have their assistant handle it. Remove friction entirely. ## Related Guides - [How G2 Badges Work](/guides/how-to-earn-g2-badges/) — G2 badges require paid plans to display; here's what you need to know - [How to Improve Your G2 Grid Position](/guides/how-to-get-ranked-on-g2/) — Deep dive into G2's ranking algorithm and strategies to improve your position - [How Capterra Badges Work](/guides/how-to-earn-capterra-badges/) — Complete guide to earning Capterra badges with 2026 deadlines - [How SourceForge Badges Work](/guides/how-to-earn-sourceforge-badges/) — Percentile-based awards: top 5% for Leader, top 10% for Top Performer - [How G2 Is Building G2.ai Into an Expertise Marketplace](/blog/what-is-g2-ai/) — How the reviews you collect feed G2's plans for AI-first software buying - [G2 Alternatives: Software Review Sites for B2B SaaS](/directories/alternatives-to-g2/): directories ranked by traffic where you can build presence beyond G2 and Capterra --- --- # G2 Ranking Guide: How to Improve Your Category Grid Position in 2026 URL: https://blastra.io/guides/how-to-get-ranked-on-g2/ Description: How G2's scoring algorithm works: Satisfaction + Presence, review thresholds, Grid placement mechanics, and subscription rules for badge display. Updated 2026. **Update (February 2026):** G2 has [acquired Capterra, GetApp, and Software Advice](/blog/g2-capterra-acquisition-closed/), making it the dominant force in B2B software discovery. Understanding G2's ranking system is now more critical than ever. **Scoring change (2026):** G2's Best Software Awards now require a minimum of 10 reviews from the prior calendar year, up from just 1 review in 2025. This raises the bar for awards eligibility. --- Many software websites now prominently display G2 badges like "Leader" or "High Performer" – a credibility metric that shows potential customers that the solution can be trusted. But how exactly does a company earn these awards? Understanding G2's algorithm is crucial for any [strategic directory presence](/blog/directory-strategy-competitive-moat/) in B2B software. ## What is G2 and Why Does It Matter? G2 is a B2B software directory and peer-to-peer review platform where real users share experiences with business software and services. The platform has published over a million user reviews across thousands of software categories. According to recent data, 49% of software buyers use peer reviews as a primary research source, often spending significant time on review sites before engaging with vendors. G2 generates quarterly reports, visual grids showing competitive landscapes, and awards badges that companies use extensively in marketing materials. At Blastra, we see that a [strong, consistent presence across software directories](https://blastra.io/about) significantly boosts how these badges convert during buying journeys. ## G2 Scoring: The Foundation G2's scoring system determines where software appears in search results, category rankings, and competitive grids ([source: G2 Research Scoring Methodologies](https://documentation.g2.com/docs/research-scoring-methodologies)): ``` G2 Score = (Market Satisfaction + Market Presence) ÷ 2 ``` This score determines: - Placement on G2's Grid reports (visual quadrants showing market position) - Ranking within software categories - Inclusion in quarterly market reports - Eligibility for G2 badges and awards that appear on company websites **Important Context:** Scores are normalized within each category, meaning software competes against similar solutions rather than the entire G2 marketplace ([source: G2 Research Guidelines](https://research.g2.com/research-guidelines)). ## G2 Grid Reports: The Visual Competitive Landscape G2 Grid reports are visual representations of software categories, plotting products on two axes: Market Satisfaction (vertical) and Market Presence (horizontal). If your product is AI-native, note that G2 has created [nearly 30 AI-specific categories](/guides/how-g2-ai-categories-work/) since March 2025 — many without Grid reports yet, where first movers can earn early placement. For a worked example of how a startup used early Grid placement to win a category, see our [category creation playbook based on Profound](/blog/profound-category-leadership-playbook/). The Grid creates four distinct quadrants: - **Leaders**: High satisfaction + high market presence (top-right quadrant) - **High Performers**: High satisfaction + lower market presence (top-left quadrant) - **Contenders**: Lower satisfaction + high market presence (bottom-right quadrant) - **Niche**: Lower satisfaction + lower market presence (bottom-left quadrant) We built a little game inspired by how software review grids work — dodge bad reviews and push toward Made It: These grids are published quarterly for categories that meet minimum thresholds: at least 6 products with 10+ reviews each, and 150+ total reviews. ## G2 Badges: Where They Come From Those "G2 Leader" or "G2 High Performer" badges seen on software websites come from Grid report placements and specialized Index reports. For the full breakdown of badge types, requirements, and costs, see our [G2 badges guide](/guides/how-to-earn-g2-badges/). G2 publishes focused Index reports measuring specific aspects like: - **Usability Index**: How easy the software is to use - **Implementation Index**: How smoothly deployment goes - **Results Index**: How well the software delivers outcomes - **Relationship Index**: Quality of vendor relationships ## The Two Pillars of G2 Scoring Here's what feeds each half of your G2 Score at a glance. The detail for each factor is in the subsections below. | Factor | Market Satisfaction (50%) | Market Presence (50%) | |--------|---|---| | Total review count | High impact | High impact | | Review recency (past 90 days) | High weight | High weight | | Likelihood to recommend / NPS | ✓ | — | | Customer support ratings | ✓ | — | | Ease of use / setup / admin ratings | ✓ | — | | Review detail & verified-user status | ✓ (higher weight) | — | | Organic (non-incentivized) reviews | ✓ (bonus weighting) | — | | Company employee count | — | ✓ | | Company revenue | — | ✓ | | Online presence metrics | — | ✓ | | Third-party data (LinkedIn, Crunchbase) | — | ✓ | **What this means in practice:** reviews are the only input that moves *both* halves of your score. The rest of Satisfaction comes from the sentiment inside those reviews; the rest of Presence comes from verifiable company data outside G2. Product-specific metrics outweigh broad company metrics on the Presence side. ### Market Satisfaction: Measuring Customer Happiness Market Satisfaction represents 50% of the G2 Score and measures actual customer contentment. G2 calculates this from multiple review-based factors: **High Impact Components:** - Total number of reviews (marked as "high importance" in G2's methodology) - Review recency (reviews from the past 90 days carry the most weight) - Likelihood to recommend scores (the 1-10 scale that becomes star ratings) - Overall customer satisfaction and Net Promoter Score - Quality of support ratings from users - Ease of use, setup, and administration ratings **Key Detail:** Review quality significantly impacts scoring. Thorough, detailed reviews from verified users receive higher weighting than brief, superficial responses. ### Market Presence: Measuring Market Position Market Presence also represents 50% of the G2 Score and assesses market position through 15 different factors combining review data with external metrics ([source: G2 Research Scoring Methodologies](https://documentation.g2.com/docs/research-scoring-methodologies)): **High Impact Factors (in order of importance):** 1. Number of reviews (this factor impacts both score components) 2. Recent review volume (past 90 days) 3. Company employee count 4. Company revenue figures 5. Online presence metrics 6. Third-party data sources **Critical Distinction:** Product-specific metrics receive greater weight than general company metrics. Reviews specifically about the software product matter more than broad company information. ## The Review Decay Factor: Time Works Against Everyone Reviews lose influence over time through exponential decay, compounded daily ([source: G2 Research Guidelines](https://research.g2.com/research-guidelines)). Maintaining a steady flow of [up-to-date directory content](https://blastra.io/how-it-works) reinforces credibility even as older reviews decay — or you can [outsource directory submissions and updates](/directories/submissions-and-management) entirely. - **0-90 days**: Decay begins immediately but is gentle — reviews still carry strong weight - **First 18 months**: Reviews maintain stronger weight during this period - **After 18 months**: Decay rate accelerates (roughly ~30% per year) - **After ~3 years**: Reviews reach approximately 3% of original weight and maintain that floor indefinitely **Real-World Impact:** A software company that generated 100 reviews through a campaign 18 months ago would find those reviews beginning to lose weight faster. Consistent monthly collection matters more than large one-time campaigns. ## Strategic Priorities: What Actually Moves Scores Certain activities have disproportionate impact on scoring: ### Highest Priority Actions 1. **Consistent Review Generation**: Establishing ongoing collection processes rather than one-time campaigns (see our [G2 and Capterra Reviews guide](/guides/how-to-get-g2-capterra-reviews/)) 2. **Recent Review Focus**: Maximizing reviews within the critical 90-day window 3. **Review Quality Enhancement**: Encouraging detailed, thoughtful responses over brief comments 4. **Organic Collection**: Non-incentivized reviews receive bonus weighting in the algorithm 5. **Category Accuracy**: Ensuring reviews are properly attributed to relevant software categories 6. **Company Data Maintenance**: Keeping third-party profiles (LinkedIn, Crunchbase) current ### Secondary Priority Actions 1. **Customer Segment Diversification**: Collecting reviews across company sizes (small business, mid-market, enterprise) 2. **User Experience Optimization**: Addressing friction points affecting ease-of-use scores 3. **Review Engagement**: Responding to both positive and negative feedback 4. **Multi-Category Strategy**: Optimizing for each relevant software category ### Removed or Reduced Scoring Factors 1. **Twitter/X Metrics**: Eliminated from scoring (October 2024) 2. **Glassdoor Integration**: Removed from Market Presence calculations (October 2024) 3. **Social Media Following**: Reduced in importance — online presence and third-party data sources carry more weight ## Common Pitfalls That Sabotage Success **Review Attribution Failures:** G2 excludes reviews from users marked as "business partners," but the definition question often confuses customers. This can result in "silent failures" where reviews are collected but don't impact scoring. **Category Misattribution:** Reviews get assigned to categories based on customer responses during submission. Software serving multiple categories must guide customers through these questions to ensure proper attribution. For an example of how an enterprise SaaS company manages its G2 presence around a category mismatch, see [our teardown of Miro's review site strategy](/blog/miro-directory-strategy-teardown/) — the messaging is repositioning toward AI, but the categories that drive discovery still classify Miro as a whiteboard tool. **Campaign Dependency:** Many companies run single review campaigns and experience score drops over time due to decay. Sustainable success requires consistent, ongoing collection. **Incentive Over-Reliance:** While incentivized reviews help with volume, [organic reviews](/glossary/organic-reviews/) carry algorithmic advantages. The most effective strategies balance both approaches. ## Free vs. Paid G2 Accounts: Scoring Reality G2's scoring algorithm treats free and paid accounts identically. The methodology documentation is available to all vendors regardless of account type, and no scoring advantages come with paid subscriptions. **Paid Account Benefits:** - Detailed analytics and competitor benchmarking - Advanced review management capabilities - Licensed report access for marketing use - Preview access to draft reports - Enhanced profile customization options **Paid Account Limitations:** - No scoring algorithm advantages - No review weighting benefits - No ranking preference in results Companies can start with free accounts while focusing on fundamental scoring factors, upgrading later when advanced tools become necessary rather than for competitive advantages. G2 is also one of several places buyers and AI tools check, so it is worth building presence on [other B2B software review sites](/directories/alternatives-to-g2/) in parallel. ## Implementation Framework: A 90-Day Approach **Weeks 1-2: Assessment** - Audit current G2 presence and scoring - Map primary categories and competitive landscape - Establish baseline metrics and tracking - If you're centralizing multiple directory listings, choosing the right operational plan is essential — [our pricing](https://blastra.io/pricing) outlines the workflows most teams rely on **Weeks 3-6: Foundation Building** - Launch systematic customer review outreach - Update external data sources (LinkedIn, Crunchbase) - Begin review response strategy **Weeks 7-12: Optimization** - Implement sustainable review collection processes - Segment outreach by customer characteristics and categories - Monitor scoring changes and adjust tactics **Ongoing Operations:** - Monthly review collection activities - Quarterly competitive analysis and scoring review - Annual strategy assessment and category optimization ## Key Success Patterns Software companies that achieve top G2 positions maintain consistent review collection rather than sporadic campaigns, focus on genuine customer satisfaction over algorithm manipulation, and treat G2 success as ongoing rather than one-time effort. Companies in "Leader" quadrants report using their G2 status throughout sales processes, while those in "High Performer" positions use their customer satisfaction strength. Even "Niche" positioning can be valuable when properly contextualized for specific market segments. ## Sources This analysis is based on publicly available G2 documentation: - [G2 Research Scoring Methodologies](https://documentation.g2.com/docs/research-scoring-methodologies) - Official methodology for calculating G2 scores - [G2 Research Guidelines](https://research.g2.com/research-guidelines) - Standards and definitions for G2's research process - [G2 Content and Data Usage Guidelines](https://sell.g2.com/content-usage-guidelines) - Guidelines for using G2 badges and content - [G2 Terms of Use](https://legal.g2.com/terms-of-use) - Legal terms governing G2 platform usage *Last updated: Based on G2 documentation as of March 2026* --- ## FAQ: Answers to Common Questions ### What factors influence a product's ranking on the G2 Grid? Two scoring dimensions drive Grid position, each worth 50% of the G2 Score. **Market Satisfaction** is review-based: total review count, recency (reviews under 90 days carry the most weight), likelihood-to-recommend scores, NPS, support quality ratings, and ease-of-use ratings. **Market Presence** combines review volume, recent review velocity, company employee count, company revenue, online presence, and third-party data. Product-specific signals (reviews about the software) outweigh general company metrics. ### How does the G2 Grid work, and what affects a product's ranking? The Grid is a two-axis chart — Market Satisfaction (vertical) × Market Presence (horizontal) — that plots products within a category into four quadrants: Leaders (high on both), High Performers (high satisfaction, lower presence), Contenders (high presence, lower satisfaction), and Niche (lower on both). Your quadrant position is relative to other products in your category, not to the entire G2 marketplace. Scores are normalized per category. The Grid is published quarterly and requires a category to have at least 6 products with 10+ reviews each, and 150+ total category reviews. ### What determines placement in the Leader quadrant vs. High Performer? Both quadrants require high Market Satisfaction — the difference is Market Presence. Leaders have high satisfaction *and* high presence (strong review velocity, larger company signals, broader online footprint). High Performers have high satisfaction but lower presence — often newer or more focused products with strong customer love but not yet the volume or company-scale signals of category Leaders. ### How does G2 create new categories? G2 creates and updates categories in response to market signals — user search behavior, vendor taxonomy requests, analyst coverage, and emerging product patterns. Since March 2025, G2 has added nearly 30 AI-specific categories; many of those don't yet have Grid reports, which creates an opening for early movers to establish position before the category fills in. For the mechanics of how AI categories specifically are formed and what they mean for vendors, see our [G2 AI categories guide](/guides/how-g2-ai-categories-work/). ### How many reviews do I need to appear on G2 Grid reports? 10+ recent reviews minimum for meaningful visibility. Grid reports require categories with 6+ products having 10+ reviews each and 150+ total reviews. More reviews increase your Market Presence score. ### Do paid G2 accounts get better rankings? No. G2's algorithm treats free and paid accounts identically. Paid accounts offer analytics and enhanced profiles — no scoring advantages. Focus on reviews first. ### How quickly do reviews lose their impact? Reviews under 90 days old carry full weight. From 90 days to 12 months: moderate decay. After 12 months: ~30% annual decay. After 24 months: minimal weight. Consistent collection beats one-time campaigns. ### What's more important: review quantity or quality? Quality has outsized impact. Detailed reviews from verified users receive higher weighting. Organic (non-incentivized) reviews get algorithmic bonuses. Prioritize substantive reviews over volume. ### Can I incentivize customers to leave reviews? Yes, through official programs — G2 paid campaigns, Capterra gift cards up to $25. Incentives must be for reviewing, not positive sentiment. Organic reviews receive algorithmic advantages, so balance both approaches. --- **Disclaimer:** This article provides educational analysis of publicly available G2 methodology documentation. This content is not sponsored, endorsed, or affiliated with G2.com, Inc. G2®, G2 Grid®, and related trademarks are the property of G2.com, Inc. ## Related Guides - [How G2 Badges Work](/guides/how-to-earn-g2-badges/) — G2 badges require paid plans to display; here's what you need to know - [How to Get G2 and Capterra Reviews](/guides/how-to-get-g2-capterra-reviews/) — Review requirements and best practices for both platforms - [How Capterra Badges Work](/guides/how-to-earn-capterra-badges/) — Complete guide to earning Capterra badges with 2026 deadlines - [How SourceForge Badges Work](/guides/how-to-earn-sourceforge-badges/) — Percentile-based awards: top 5% for Leader, top 10% for Top Performer - [How G2 Is Building G2.ai Into an Expertise Marketplace](/blog/what-is-g2-ai/) — What G2 is building beyond the Grid, explored in its open beta --- --- # Review Regulation Came for B2B SaaS, and It May Apply to You URL: https://blastra.io/blog/review-regulation-b2b-saas/ Description: Fake-review laws now exist in the UK, US and EU - the DMCC Act, the FTC rule, the EU Omnibus. B2B SaaS isn't as exempt as it looks. Here's what changed. *From the Trenches is a Blastra series featuring practitioners solving real problems at work - one shot at a time.* --- "Reviews are a consumer thing - retailers, restaurants, Amazon sellers. They've got nothing to do with B2B software." I hear a version of that whenever the subject comes up with marketing and growth leaders at software companies. What strikes me is how rarely it comes up at all. In my experience few teams realise that fake and misleading reviews are now regulated, in the markets they already sell into, by named regulators with the power to fine them. The few who have heard something assume, like the speaker above, that it is someone else's problem. Not knowing and waving it away land in the same place, and that place is getting more expensive by the quarter. I run marketing at [TruthEngine](https://truthengine.com/?utm_source=blastra&utm_medium=referral&utm_campaign=guest-post), which authenticates and structures review data so that platforms, search engines, AI models and regulators can trust it. Reviews and the rules around them are what I look at all day, which is the only reason I caught this shift early. If none of it is on your radar yet, you are in the large majority. Here is what changed. ## There is now real regulation around online reviews, and it is recent For most of the internet's life, the rules on reviews were vague and rarely enforced. That has changed over the last few years, across three of the markets a typical SaaS company sells into. **The UK.** The [Digital Markets, Competition and Consumers Act 2024](https://www.legislation.gov.uk/ukpga/2024/13/contents) made fake and misleading reviews a "banned practice" from 6 April 2025. Banned means automatically unfair, so the regulator does not have to prove any individual buyer was misled. The Competition and Markets Authority (CMA), the UK's consumer regulator, can now fine up to 10% of global turnover (annual revenue) without going through the courts, and in 2026 it opened its first review investigations, across sectors from car sales to funerals. An investigation is not a finding of wrongdoing. The signal to everyone else was clear enough. **The US.** The Federal Trade Commission's [Rule on the Use of Consumer Reviews and Testimonials](https://www.ftc.gov/legal-library/browse/federal-register-notices/16-cfr-part-465-trade-regulation-rule-use-consumer-reviews-testimonials-final-rule) took effect on 21 October 2024. It bans buying or selling fake reviews, undisclosed insider reviews, suppression of genuine negative ones, and incentives tied to a particular sentiment, and it reaches AI-generated reviews. Unlike the FTC's older guidance, it carries civil penalties of a little over $50,000 per violation. **The EU.** Since 28 May 2022 the [Omnibus Directive](https://eur-lex.europa.eu/eli/dir/2019/2161/oj) has required any business displaying reviews to disclose whether and how it checks they come from real purchasers. Claim your reviews are verified and you have to be able to show it. Penalties run to 4% of turnover. Three regimes, one direction of travel: reviews have moved out of marketing's blind spot and into consumer protection law, with named regulators and real fines. ## Why "we're B2B" is not the exemption you think The reasoning sounds airtight: these are consumer protection laws, you sell to businesses, so they are not about you. It leaks in two places. The first is who your buyers are. Plenty of SaaS companies picture a procurement team at a mid-sized enterprise, but the customer base often includes sole traders, freelancers, consultants and micro-businesses. In UK law a "consumer" is an individual acting wholly or mainly outside their trade, and depending on what they buy and why, a freelancer or sole trader can fall on that side of the line. These laws also protect consumers wherever they are: a company run from California, Berlin or Singapore that markets to UK buyers or shows them reviews can land inside UK scope. Broadly similar cross-border reach applies under the EU and US regimes, though the precise triggers differ. The second leak ignores the consumer-versus-business line entirely. Your reviews are public, and a journalist, competitor or investor doing diligence will not pause to work out whether a given buyer was technically a consumer before deciding whether your reviews look genuine. It also helps to know what is in scope, because it goes well beyond inventing five-star reviews. Regulators care about any misleading impression of how customers feel: asking only your happy customers, undisclosed incentives, reviews that cannot be verified. The test they keep returning to: would a reasonable prospective customer be misled by what they are seeing? A lot of standard playbooks fail it. ## What's your risk profile? Not every SaaS company carries the same exposure. Two questions place you. One, do any of your buyers count as consumers, and do you market into the UK or EU? Two, do any of your review tactics create a misleading impression of sentiment? Your answers sort you into roughly three groups. **Lower exposure.** You sell large-contract software to enterprises through procurement, your buyers are clearly businesses, and you ask every customer the same neutral question with no strings attached. Legally you are about as far from the firing line as a SaaS company gets. What remains is reputational: keep doing this, and be able to show that you do. **Exposed without knowing it.** Where many product-led and SMB-focused companies sit. Your customers include freelancers and micro-businesses, you market across the UK and EU, and somewhere in your funnel a review request goes only to happy customers, or a gift card is attached to a review, or a template asks for "a five-star review." None of it feels like fraud from the inside. It is the exact pattern the new rules describe. **Case study waiting to happen.** Your buyers are largely individuals, you market hard into the UK and EU, and reviews are treated as a channel to optimise: paid incentives for positive sentiment, agencies seeding posts, negative feedback quietly routed away from the public profile. If anyone pulls the thread, the story writes itself. Fix this one first. Your exposure comes down to what your buyers are and how you collect reviews. ## The email that creates most of the risk Most of the risk lives somewhere ordinary: the email Customer Success sends after a good onboarding. Compare two versions. The risky one: > "So glad you're happy with the platform. Would you leave us a five-star review on G2? We'll send a £50 Amazon voucher to say thanks." It requests a specific rating, ties a reward to the review, never discloses that reward to future readers, and only ever goes to already-happy customers, so the picture is skewed before anyone writes a word. The defensible one: > "We're always trying to improve. We'd value your honest feedback, good or bad. If you'd like to share it publicly, here's a link to our G2 profile." Same message, same schedule, every customer. No rating requested, no reward tied to sentiment. It produces fewer glowing reviews and survives scrutiny. ## What to do Treat review collection as a governance question with a written policy and an audit trail, the same rigour you would give any compliance surface. A sensible starting point: - write down your review policy, including how you handle incentives and negatives - give every customer the same opportunity to leave feedback - stop tying incentives to positive sentiment, and disclose any that remain - audit what is happening in practice - the CS and lifecycle email templates, any agency review contracts, any incentive workflows - rather than assuming it matches the policy - check what any agency or contractor does in your name - train the sales and CS people who send these requests ## The trust asset Reviews shape software purchases every day, which makes them one of the most valuable trust assets a company owns, and that value now cuts both ways: collected the wrong way, the same reviews can be used against you. The upside is that the direction regulation is pushing, toward honest solicitation, real verification and no gaming of sentiment, is the same direction the AI systems now mediating software discovery are pushing. In my view, a review a system can trace to a real, verified customer will increasingly count for more than one it cannot. The companies that earn the most trust over the next decade will be the ones whose review practices can withstand a hard look, from customers, journalists, investors and regulators alike. --- *This piece is a practitioner's overview of how the regulatory landscape is shifting. It summarises public regulations as I read them at the time of writing, and it is not legal advice. Your own counsel writes your final rules.* ## Related Reading - [How to Collect B2B SaaS Reviews Without Getting in Trouble](/guides/b2b-saas-review-collection-rules) — where the compliance lines fall platform by platform across G2, Capterra, Gartner Peer Insights and TrustRadius - [SaaS Review Strategy: How to Stand Out Where Others Stay Silent](/guides/how-to-handle-software-reviews) — what you can and cannot do about a negative review without crossing these lines - [Who Owns Your Software Reviews? What the Fine Print Actually Says](/blog/who-owns-your-software-reviews/) — what happens to your reviews when platforms change the rules --- # The Software Directories Market Landscape (July 2026) URL: https://blastra.io/blog/software-directories-market-landscape/ Description: A free, downloadable map of the software directories, review sites, marketplaces, and launch platforms that AI and B2B buyers use to research and select software. When a buyer starts shortlisting software, and when an AI assistant assembles the same shortlist on their behalf, both read from the same set of places: the directories, review sites, and catalogs that describe what each product is and who it serves. Those catalogs shape the comparison before a vendor gets a word in. And the market of directories itself has never been easy to see as a whole. There are dozens of them, they overlap, and which ones matter for any given product is rarely obvious from the inside. So we drew it. Together with [Polybox](https://polybox.studio), a design studio that works with B2B SaaS teams, we built the **[Software Directories Market Landscape](/directories/landscape)**: one view of the catalogs that AI and buyers use to research, discover, compare, and select B2B tech products and services. (The common thread is tech; every catalog serves software and tech companies.) It's free to download, and there's no email wall in front of it. *Directory names and logos shown are the property of their respective owners. Blastra is independent and not affiliated with or endorsed by the directories on the map.* ## Why we built this From the outside, every software catalog looks interchangeable, and the space is genuinely hard to read. Community-built lists make it worse: they mix directories in with subreddits and launch platforms, and they keep sending founders to list their product on [Clutch](/blog/why-skip-clutch-focus-on-directories/), a services directory that was never built for products. A lot of listing effort gets spent in the wrong places. We see directories differently: they are the trust infrastructure behind AI recommendations. Most have spent years, some of them decades, building the processes that discovery and selection run on: verifying submissions, curating categories, checking that reviews are authentic. That work is exactly what an AI system leans on when it decides which products to trust. The influence runs deeper than citations. Even when an AI answer doesn't name a directory as its source, these catalogs are the kind of public record models learn from, and they shape what a model remembers about a product long before anyone asks the question. Getting your presence right across them is how you influence what AI takes away about your product. ## How the map is organized The landscape sorts the market into six families: - **Product Directories:** where a buyer researches and compares a specific tool. The largest family; within it, catalogs are grouped by the buyer each serves: enterprise, mid-market and SMB, or niche. - **Service Directories:** catalogs built for agencies and service providers rather than software products. - **Company Directories:** where the company itself is researched, including startup databases and funding trackers. - **Marketplaces:** platforms where discovery and purchase happen in one place, inside a cloud or ecosystem the buyer already uses. - **Deals Platforms:** where products are found through offers and lifetime deals. - **Launch Platforms:** where a new product announces itself to early adopters. Two things are worth knowing before you read it. A single catalog can sit in more than one family, because some sites cover both products and services, or both a company and its products, so a few names appear more than once. And many launch platforms are effectively paid in practice: they let you launch for free only if you book a slot months ahead. ## What earns a place The map is hand-curated. We pick platforms that have a reputation among humans and AI, some decades old and some relatively new (especially the launch platforms). Regardless of age, status, or category, every catalog clears an authority bar (a [Domain Rating](/glossary/domain-rating/) threshold from Ahrefs) and a traffic bar measured by Similarweb. Niche directories clear the same authority bar but may qualify on lower traffic, because a focused, relevant listing carries real weight even at smaller scale. No placement can be bought, and every catalog is a software or tech directory: the map leaves out local-business and general listing sites. ## See it for yourself The landscape is a living document. We refresh it as the market moves and new data comes in, so the version on the page is always the current one. This is the July 2026 edition. ## Related reading - [What Are Software Directories?](/blog/what-are-software-directories/) - [How B2B Software Gets Discovered by AI Search](/blog/b2b-software-directories-ai-seo-strategy/) --- # Entity Consistency: Why Your Directory Listings Must Agree URL: https://blastra.io/blog/entity-consistency-ai-search-visibility/ Description: To AI, directories are the record of what your software is. When they disagree, you get harder to recommend. What entity consistency means, and how to fix it. Ask ChatGPT to recommend software in your category and watch which names come back. If yours isn't one of them, the reflex is to blame the model. Better to ask where the model got its answer, because it almost certainly didn't get it from your website. AI search engines assemble their picture of a product from third-party sources: the directories, review platforms, and databases that describe you. Being listed on them is close to a precondition for showing up at all. ## Why AI treats directories as primary sources Think about how a careful software buyer weighs a product. A vendor's own homepage is self-reported, so they don't take it at face value. A scraped listing that nobody maintains isn't worth much either. A source that's structured and accountable carries the most weight: on a review platform, reviews tied to verified work identities and screened for fakes, with the platform's own reputation behind the data. Structure, verified identity, a platform with its name on the line: those properties are the reasonable explanation for why a directory listing would count for more, to a machine cross-referencing sources, than a marketing page. That stays an explanation rather than a proven rule of how any model works. The pattern shows up in the data: [AirOps](https://www.airops.com/report/the-influence-of-offsite-signals-in-ai-search), an AI-content platform, reported in October 2025 that brands were 6.5 times more likely to be *mentioned* through third-party sources than through their own domains, across commercial-intent queries. Presence on the major review platforms is close to universal among the products AI surfaces: an April 2026 analysis by [Similarweb](https://www.similarweb.com/blog/marketing/geo/aeo-for-saas-product-pages/), a web-traffic and digital-market-intelligence firm, found 100% had a Capterra listing and 99% had a G2 one. And it holds inside a single company: when ChatGPT describes Shopify, G2 and Capterra rank as the fifth and eighth most-cited sources it draws on, according to Semrush, an SEO and online-visibility platform, in its [AI Visibility Index 2026](https://www.semrush.com/news/463141-semrush-releases-expanded-2026-ai-visibility-index-analyzing-126-million-ai-search-prompts/). A directory listing is a source the model reads back when it decides what you are. Being listed, though, is only the minimum. What you get recommended for depends on whether those sources tell the same story, and that is where a lot of otherwise-visible companies quietly lose. ## What "entity" means here, and why consistency is the word Search people borrowed the word *entity* from the way knowledge graphs work. Where older search reduced your product to a bag of keywords, an AI system treats it as an entity: a thing in the world with properties. What it does. Who it's for. What category it lives in. What it integrates with. How it's priced. The engine builds that entity by reading what multiple sources say and looking for where they agree. Limor Barenholtz, Similarweb's Director of SEO and AI Search, put the mechanism plainly in a piece on optimizing for AI search: "AI systems build entity confidence through consensus across sources. Divergence signals unreliability." When your G2 category, your Capterra description, your Crunchbase founding year, and your website's positioning all line up, the engine has a confident entity to work with. When they don't, it has a question mark. An older version of this idea is the closest thing to proof we have. For a decade, local businesses have obsessed over "NAP consistency," keeping name, address, and phone identical across Google, Yelp, and every directory, because inconsistency measurably hurt their local search rankings. The analogy only goes so far: local search matched exact strings, while AI reads meaning and will forgive a reworded sentence. What it handles badly is a product that reads as a whiteboard tool on one platform and an AI workspace on another. We [saw exactly that when we took apart Miro's directory presence](https://blastra.io/blog/miro-directory-strategy-teardown): its listings hadn't caught up to the repositioning on its own site. That's two different answers to "what is this," and the engine has to reconcile them before it can recommend you. ## Keep two claims apart, because they're doing different work It's tempting to read all of that as proof that consistency drives citations. It doesn't, and the honest version of this argument separates what's measured from what's reasoned. What's measured is presence. [SE Ranking](https://seranking.com/blog/ranking-factors-for-chatgpt/), an SEO software company, found in November 2025 that a strong review-platform presence lined up with roughly three times the odds of a ChatGPT citation. That number measures being present, which is a different thing from consistency. What's reasoned is the next step: that consistency, stacked on top of presence, is part of what separates the products AI recommends confidently from the ones it hedges on. No AI company publishes a per-product "confidence gate," so treat this as a reasoned read of how the systems behave. There is a related behavior researchers have described in retrieval systems, the part of an AI that pulls in outside sources before it answers: when those sources carry genuinely conflicting information on a high-stakes question, one response is to drop the citation rather than pick a side. Whether that's precisely what happens to your directory listings is an inference, but it's the behavior this argument leans on. Semrush's own read of its Index data lands in the same place: the brands that win AI visibility, it observes, are the ones "described consistently across the sources AI quotes from," while brands with inconsistent third-party networks "struggle." ## Where this bites, and where it doesn't If your product already has one dominant, correct anchor, a strong G2 profile with real reviews that the engine trusts, then a stale line on a smaller directory barely moves anything. The engine has a source it's confident in and leans on it. Tidying the edges is housekeeping. It bites hardest for a product with a thin, scattered footprint and no dominant anchor. A handful of listings, created at different times, each carrying a slightly different version of the product. One built when you were a project-management tool. One from the pivot to workflow automation. One a directory auto-generated from data so old you've never actually seen it. The engine has no strong signal to trust, only several weak ones that disagree, and it has to decide what you are from the pieces. And a human buyer comparing you across three open tabs sees the same contradiction, and discounts you for the same reason. You don't get to choose which version the engine reads, either. It weights sources by its own logic, some mix of authority, recency, and agreement, and pulls from wherever it lands. Your cleanest, most current description sitting on your homepage doesn't override an outdated category label on a directory you'd forgotten you were listed on. ## Which fields actually have to agree Consistency is the same story told across the handful of things AI reads as your identity. Barenholtz's list is a good place to start: check that your product name, application category, primary use cases, and pricing structure match across your website, G2, Capterra, TrustRadius (another B2B review platform), your LinkedIn company page, and Crunchbase. Category and naming do the most work here. Category comes first, because a directory category is the shelf AI files you on, and if two platforms shelve you differently the engine gets two different answers to "what is this." The second is naming the same thing the same way everywhere. In an April 2026 [guide to SaaS AI-search optimization](https://www.semrush.com/blog/saas-ai-search-optimization/), Semrush makes the point at the feature level: call the same feature by the same name on your product pages, comparison pages, docs, and FAQs, so an AI reads it as one capability instead of three loosely related ones. The same discipline extends to your directory listings. Then there's freshness, which is really consistency across time. Many AI systems fetch pages live at the moment of the query rather than relying only on what they absorbed in training, so an outdated listing is a live source the engine may read today. Semrush is blunt about the stakes: "Outdated structured data is one of the fastest ways to spread misinformation through AI answers." A pricing page that's a year stale feeds a wrong answer to the next buyer who asks. ## You can't fix what you can't see Consistency is easy to agree with. It's just invisible from where you sit. You see your website, which is current and correct. You don't see the twelve places that describe you from various points in your history, and you have no easy way to ask what AI thinks your product is right now. This is the gap Blastra's Monitor is built to show you. It pulls together how the directories currently represent you, your presence, categories, reviews, and ratings across platforms, into what we call your perceived narrative: the picture a buyer, or an AI, assembles about you today. Where you've set the positioning you actually want to stand for, your desired narrative, Monitor lays the two side by side and flags where they pull apart. It's a read of the gap: here's what the outside world says you are, here's what you meant to say, here's the daylight between them. Seeing the gap is where the work starts. Closing it is tedious work: claiming listings, correcting categories, rewriting descriptions to match, keeping them current as the product moves. That's the job [Blastra takes off your plate](https://blastra.io/): the corrections go out across your directories in one pass. Monitor shows you the perceived narrative. Making the record match the one you intended is what you're actually hiring for. ## Where the first answer forms now For most of the software era, your website was the source of truth about your company. You wrote it, you controlled it, and buyers came to it. The first answer forms somewhere else now: in the AI's read of what everyone else says about you, and the companies that show up cleanly are the ones whose sources agree. We've written about the [pattern of AI reaching consensus across sources](https://blastra.io/blog/ai-search-consensus-pattern-saas-recommendations) and about [how reviews compound into citations](https://blastra.io/blog/the-compounding-rule-saas-ai-citations) over time. Entity consistency is the quieter half of the same story. Reviews are what people say about you. Consistency is whether the record of what you *are* holds together, everywhere an AI might go looking. --- # How to Launch on AWS Marketplace: What 'Listed' Actually Means URL: https://blastra.io/blog/from-the-trenches-fahad-jawaid-straightline/ Description: AWS Marketplace isn't a directory. Fahad Jawaid breaks down what it is, who's eligible, how launching works, and how one company went from zero to a live listing. *From the Trenches is a Blastra series featuring practitioners solving real problems at work - one shot at a time.* --- Founders come to me saying "we need to get listed on AWS Marketplace" with the same tone they'd use for "we need to be on G2." I understand the instinct, but those are two different jobs, and confusing them is the most common and most expensive mistake I see. I run [Straightline](https://www.usestraightline.com/?utm_source=blastra&utm_medium=referral&utm_campaign=guest-post), an outsourced AWS Marketplace and go-to-market team. We take SaaS companies from no AWS presence to a live listing, partner status, and the funding programs most founders don't know exist. So I spend a lot of time explaining what AWS Marketplace actually is before anyone touches a listing form. ## A directory helps buyers choose. A marketplace lets them buy. A directory like G2 or Capterra is a discovery and reviews surface. Buyers go there to find software, compare options, and read what other buyers said. The directory doesn't process the purchase. It hands the buyer off to you. AWS Marketplace is a procurement channel that lives inside the buyer's own AWS account. When an enterprise buys your software there, the charge shows up on the AWS bill they already pay every month. No new vendor to onboard, no new purchase order to chase, no procurement gauntlet to run. That's the whole point of it, and it's why [the difference between a marketplace and a directory](/glossary/app-marketplace/) matters. ## Why enterprise buyers actually care Large AWS customers sign multi-year spend commitments, promising AWS a dollar figure over the term in exchange for discounts. AWS has historically called this the Enterprise Discount Program, and you'll increasingly hear it referred to as a Private Pricing Agreement. Either way, the idea is the same: committed spend. The mechanic that makes Marketplace work is straightforward: qualifying Marketplace purchases count toward that commitment. So when a buyer purchases your software through Marketplace, they're drawing down budget they've already promised to spend. From their side, that money is effectively already gone. You're not asking them to find new budget. You're giving them a way to use budget that's committed. The conversation becomes simpler: "Add it to our AWS bill and it draws down our commitment" is a far easier yes than "approve a net-new vendor and cut a new check." A portion of the commitment can run through Marketplace this way. The share is negotiated per contract, and the figure most often cited is around 25%. One moving target worth knowing: AWS has been tightening which products qualify for that drawdown, and the benefit increasingly favors SaaS that actually runs on AWS. If your product is hosted elsewhere, confirm where you stand before you build the pitch around it. ## Who's eligible to sell The bar to list is lower than most founders assume: any independent software vendor, channel partner, or managed service provider with a product that works with AWS can register as a seller. You don't have to be born on AWS to publish a listing, though, as I just covered, hosting on AWS matters for the committed-spend benefit. The practical requirements are administrative more than technical: - An AWS account in good standing - Seller registration with tax information (a W-9 in the US, a W-8 if you're outside it) - A bank account that can receive USD disbursements - Know Your Customer verification in certain regions - A product that fits a type AWS supports: SaaS, AMI, container, machine learning model, or professional services Then there's the AWS Partner Network, which you get access to as an AWS ISV Partner — the on-ramp to the programs that make Marketplace pay off. The one piece founders get wrong is the Foundational Technical Review, the FTR. People assume it's required to list. It isn't. You can publish a listing without it. What the FTR unlocks is the "Qualified Software" designation and entry into ISV Accelerate and the funding programs. It's an architecture and security review against AWS best practices, and it's valid for three years. I tell clients to do it early, because everything good downstream depends on it. ## How launching actually works The sequence is straightforward. The decisions inside it are not. 1. **Register as a seller** in the AWS Marketplace Management Portal: tax details, banking, public seller profile. 2. **Build the listing**: product type, description, support terms, the legal documents. 3. **Set your pricing.** This is where founders stall. You choose a model: SaaS subscription, SaaS contract, contract with consumption (pay-as-you-go), annual, metered usage, or bring-your-own-license. You also choose public listing versus private offer. Private offers are how most large deals close, with custom pricing and terms the public catalog never shows. 4. **Submit for AWS review.** 5. **Go live.** In our experience a first listing runs about four to eight weeks end to end. The form itself isn't the slow part. Pricing, packaging, and legal take iterations, and the review takes a beat. If your paperwork is clean and your pricing decisions are made, it moves faster. ## What this looks like in practice Here's how we listed IronFort, a compliance software company that started with zero AWS presence: not listed, not a partner, not in any program. Enterprise buyers were asking for AWS Marketplace, and every week without a listing was time on the table. We ran the whole journey: partner registration, the listing build, and program enrollment. What came out the other end: - ISV Partner status - Acceptance into AWS ISV Accelerate, the co-sell program where AWS sellers introduce you into their own enterprise accounts - A live AWS Marketplace listing - More than $20,000 in AWS credits and $25,000 in Market Development Funds, over $45,000 in total value The funding piece surprises almost everyone: AWS co-invests in its partners. Credits offset your own AWS bill, and Market Development Funds are co-marketing dollars you typically spend first and get reimbursed against. Most early-stage founders have no idea it's on the table, so they leave it there. ## A Marketplace listing doesn't make you discoverable This is the part I want founders to sit with, and it's where Marketplace and directories stop being interchangeable in anyone's head. Getting listed on AWS Marketplace gives you a place to transact. It does not make you discoverable, and it does not make you trusted. Enterprise buyers almost never stumble onto you cold in the Marketplace catalog. They hear your name somewhere, they vet you, they read reviews and comparisons and check what other buyers say, and then Marketplace is how they buy. So think of Marketplace as the checkout, not the storefront. Buyers find you and decide they trust you somewhere else, well before they ever open the catalog. Marketplace is where they close. It isn't where they start. ## What I'd tell a founder weighing this If you sell to enterprises and you're not on AWS Marketplace, you're asking your customers to spend net-new budget when they could be spending budget they've already committed to AWS. That's a harder sale than it needs to be, and your competitors who are listed aren't making it. It's more setup than a directory listing and less than most founders fear. The paperwork is tedious but finite. The real work is the decisions: how to price, how to package, and which programs to chase first. Get those right and the Marketplace stops being a checkbox and starts being a channel. --- *Have a story from the trenches? Drop us a line at ceo@blastra.io* ## Related Reading - [How I Turned Two Days of Recordings Into Six Months of Content](/blog/from-the-trenches-tom-snyder-filescom/) — Tom Snyder on doing a content team's work solo with AI - [Two Months on AppSumo: How Our Refund Rate Went From 33% to 5%](/blog/appsumo-launch-lessons/) — A founder's account of another marketplace launch - [What Are Software Directories (and How They Differ From Marketplaces)](/blog/what-are-software-directories/) — The discovery and trust layer that sits in front of every purchase - [Who Decides What Your Software Is?](/blog/who-decides-what-your-software-is/) — How categories shape your visibility before buyers ever find you --- # How G2 Is Building G2.ai Into an Expertise Marketplace URL: https://blastra.io/blog/what-is-g2-ai/ Description: In June 2025, G2 first mentioned G2.ai, an initiative aimed at changing the software buying experience. I visited exactly a year later to figure out what they've been building. AI has shaken lots of business models, software directories included. Traditionally, those tool catalogs (Capterra, G2, SourceForge, TrustRadius, and others) used to dominate search results, allowing buyers to discover and compare tools. This used to bring vendors attributable leads. With the software research process shifting to AI, those sites still play a major role in discovery, but the credit, if attributable at all, now often goes to AI. A user who admits "AI recommended your solution to me" does not know that the AI chat assistant was trained on SourceForge data or trusted Capterra's reviews. So while being a critical trust and discovery layer, many directories are in a difficult place where they have to prove themselves and make sure they survive the shift we are going through. ## An Invisible Data Provider or the Decision-Making AI? So far, G2 has been the best at marketing itself (and the entire directory segment) as an essential component in the AI discoverability puzzle. But it seems that surviving as a mere data provider in a world where AI assistants from other companies make decisions is not exactly their aspiration. In June 2025, among their various AI initiatives, [G2 briefly mentioned G2.ai](https://company.g2.com/news/g2-launches-conversational-software-review-experiences-for-ai-first-era) as part of its push to rebuild software buying for an AI-first era. The announcement promised that buyers would be able to look for software in natural language. A year later, buyers are indeed looking for software in natural language ([according to G2's own research](https://company.g2.com/news/g2-research-the-answer-economy)), just not on G2.ai but in chats owned by major LLM labs. I got curious if G2 still had the ambition to fight for the decision-making role with G2.ai. They do. Even more so: the concept has evolved, and when they say they want to revolutionize the software buying process, they mean it. ## The New G2.ai: Build and Find Expert AI Workflows G2's business lives on G2.com, the directory site. G2.ai is a different domain, which redirects to ai.g2.com and features a completely different platform. Essentially, it is still a playground. When you enter the website, the feeling is almost like you shouldn't be there, but it's all out in the open, so clearly it's a bold, deliberate choice, just as the vision behind it. The new site is called AI Blueprints, and unlike G2.com, where buyers come for software tools, here they come for AI workflows. Those workflows are called Blueprints (or sometimes Playbooks), and they aim to solve real business problems. The Blueprints are the central pieces of the new marketplace: a user can build a blueprint and share it, or use what others built. Nodes come from G2's database. It seems that for now there's still a lot of dummy data, but since G2 now owns Capterra, GetApp, and Software Advice, I suppose all the listings will be turned into a giant joint catalog. ## How and What Works Today It seems that the G2 team has been actively building the platform: there is a library of 500+ Blueprints, created by employees in May and June. The blueprints range from ["Reverse-Engineer the PRD From Any Figma Design"](https://ai.g2.com/playbook/EKe62Iq67JG2Rqd) by Neil Kawde, a product designer at G2, to an [executive contact-memory skill](https://ai.g2.com/playbook/W4YolqRh0BlMq4z) for utilizing your relationship capital with an AI agent, by Godard Abel, the company's co-founder and CEO. Those blueprints have SKILL.md and other files attached, ready to run in your environment. I couldn't quite figure out why, but it seems blueprints come in two types: the ones like above, where tools are simply named, and the ones with software products as nodes. For the latter, the builder opens with a question: - "What problem do you want to solve?" - "cannot see if we are visible in ai" Two more questions follow, both about you: which areas of work apply (writing, research, automation, data, and six others), and your setup, meaning team size, primary goal, and monthly budget. Then a button: "Build my Blueprint." What comes back is a numbered workflow where each step is a product pulled from G2's catalog — organized by [the AI categories G2 uses to classify software](/guides/how-g2-ai-categories-work/) — with an explanation of why it sits at that step, written against the problem and budget you typed in. Every node lists alternative tools with a "Swap" button, and a dashed box at the bottom offers "+ Add another step." At the bottom of the result, after "Save to My Blueprints" and "Share," the site asks: "Have you actually implemented this workflow?" Publish it, the site explains, and your AI recommendation becomes a community blueprint, visible to thousands of teams looking for proven ones. (The button itself says "Publish this Playbook"; the site uses playbook and blueprint interchangeably, another seam of the beta.) The person who arrived with a problem is invited to leave as a contributor. ## The Vision Today's G2.com is about products. Buyers come with focused pains and search for products that can solve them; if they liked the product, their contribution is leaving a review about this product. The future G2.ai is about buyers (or experts). The platform is their canvas: they arrive with problems, draw workflows on the canvas, automatically pulling software nodes, and then use those workflows. They can choose to contribute to the community by sharing what they built. But if the vision is realized, on G2.ai products no longer exist on their own, and G2 is no longer about them: it's about the expertise in solving business problems. A workflow stays relevant even when a software solution it used is replaced with another. Clearly, the initially declared ability to search for products in natural language is not a differentiator for a company like G2: frontier labs provide a superior experience. But the ability to provide a buyer with a canvas, with underlying data that's not polluted with astroturfed forum threads and self-promotional listicles, might be. The question is how fast they can develop and if the envisioned behavior will materialize into actual habits. Very interesting to see how this unfolds. In the meantime, you can use Blastra to manage your product narrative on [platforms like G2](/directories/g2) and other [software catalogs](/blog/b2b-software-directories-ai-seo-strategy). *Disclaimer: this post is based on publicly accessible data on ai.g2.com. Blastra had no special preview access to non-public information; the conclusions are our own, based on what is out in the open. We don't know what will be shipped in the end. We admire the bold decision to build in public and appreciate the opportunity to peek into the new platform while it's still in the making.* *Screenshots show ai.g2.com as of June 2026. Blastra is not affiliated with, endorsed by, or sponsored by G2 or any of the products shown. All product names, logos, and brands appearing in screenshots are the property of their respective owners.* --- ## Related Reading - [How to Collect B2B SaaS Reviews Without Getting in Trouble](/guides/b2b-saas-review-collection-rules/) — The rules for gathering the verified reviews this whole trust layer runs on - [G2 and Capterra: Vendor Guide After the Acquisition](/guides/how-to-navigate-g2-and-capterra/) — How to run both platforms now that they share an owner - [What Is SaaS Listings Management?](/blog/what-is-saas-listings-management/) — The discipline of keeping your catalog data ready for surfaces like this one - [Profound vs. Conductor: The AEO Title Fight](/blog/profound-vs-conductor-aeo/) — Two vendors fighting over how AI visibility gets measured --- --- # Two Months on AppSumo: How Our Refund Rate Went From 33% to 5% URL: https://blastra.io/blog/appsumo-launch-lessons/ Description: A founder on launching 2pr.io to thousands of buyers with a 60-day no-questions-asked refund window, and what that pressure does to a product. *From the Trenches is a Blastra series featuring practitioners solving real problems at work - one shot at a time.* --- We just wrapped a two-month launch of [2pr.io](https://2pr.io/?utm_source=blastra&utm_medium=referral&utm_campaign=appsumo-launch-lessons) on [AppSumo](/directories/appsumo/). Here are the short takeaways, the kind I wish someone had handed me before we started. First, two bits of context for anyone who doesn't live in this world. **What's AppSumo?** It's a [deals platform](/glossary/deals-platform/) where software companies sell lifetime deals (you pay once instead of subscribing monthly) to a large audience of founders, marketers, and operators hunting for tools. For a vendor it's part launchpad, part trial by fire: thousands of buyers show up at once, and every one of them has a 60-day, no-questions-asked refund window. **What's 2pr.io?** It's an AI agent for growing on LinkedIn: ideas, drafts, visuals, scheduling, replies, and analytics in one app. That's the product we put in front of the AppSumo crowd. ## Before You Launch: Getting In, and Getting Ready You don't just apply and wait. AppSumo has shifted toward sourcing products actively. They scout and approach tools they believe in, rather than working purely from inbound submissions. So there are real people on their side working the process with you. It isn't a black box you submit to and hope. Budget more time than you think. Total prep runs long, and it's two clocks ticking at once. The first is AppSumo's own readiness to slot your launch; for us that was 3+ months. The second, and the one that matters most, is your product. The product has to be on par with the best competitors and bug-free from day one. To enforce that, AppSumo runs a thorough multi-stage QA: detailed, multi-page reports that read like a free, active quality review. If your product is buggy or behind the market, they won't let it through. That stage alone took us about a month and a half, across a few rounds. The technical integration, by contrast, is the easy part: well documented, a few days of work. Then the offer. Get this right or nothing else matters. It isn't something you tune over time; it's a one-shot exercise, and you have to land the number on day one. Do the math and packaging carefully, because of what the price is: a discounted lifetime price, cut further by the platform's 30–50% share. So you model average usage, set a number that survives all of that, and still leave yourself a cushion. 2pr.io fit lifetime well: high willingness to pay, relatively low usage, since people post fairly rarely even though each generation costs us money. Products that are costly to serve *forever* are where lifetime deals go wrong; video generation is the cautionary tale, with founders who effectively went bankrupt serving users on a one-time fee. ## How the Platform Actually Works **Refunds and reviews run 60 days.** And it really is no questions asked, none of the soft "refund" you fight for in a web funnel. 😉 That window puts enormous pressure on the product: either it works, or the user refunds. There's nowhere to hide. **The traffic comes from more places than you'd think.** AppSumo pulls buyers through several channels at once: their email list, affiliate and partner networks, paid ads on Google and Facebook, plus organic and direct. They invest in performance marketing on your behalf, which is reassuring: the platform is putting its own machine behind your launch and taking a risk alongside you. But the single biggest driver, by a clear margin, is still email. Their own list is what moves the needle. **The economics look brutal on paper.** The platform's cut runs 50–70%. On a marketplace of discounted lifetime deals, which already hammers your margin, that sounds like robbery. Partly it is. But given the traffic they bring, and the fact that software has multiplied while the cost of building it has dropped ~10x, the platform sets the terms. **The audience is Western.** The main flow came from the US and developed Europe, not the "it's all India" myth you hear. For us it was US 30%, Germany 13%, UK 13%, with the top six countries making up two-thirds of buyers and a long tail across 30+ more. **The feedback is loud, in the best way.** These users are engaged. They complain, they want to talk, they send feature requests. They are anything but passive subscribers. ## 2pr.io's Results I won't share absolute numbers, but the relative ones tell the whole story. **Refunds as a signal.** A high refund rate at the start exposed every weak spot in the product. As we fixed things in real time, refunds fell from 33% in month one to 5% by month three. Average product rating: 4.8. For me, that's the real headline of the launch. **Tier 1 vs. higher tiers.** Buyers of the cheapest access (Tier 1) test more and refund more: 16% vs. 8% at the top tier. Higher-tier buyers purchase deliberately, to actually use the tool for work, and they demand a far better product in return. Higher tier, higher retention. **Real B2B.** One of our goals was to meet a B2B audience and make 2pr.io work for people running multiple profiles. Goal achieved, and our core buyer turned out to be exactly our ICP: founders and CEOs (29%), then marketing and growth, then coaches and consultants. **Cohort dynamics.** The bulk of both sales and refunds hit in the first weeks; in fact, 44% of all sales landed in the final three weeks around the deadline. Later cohorts retained better, because by the end the product had become stable. ## Takeaways **1. It's a funded channel, not a payday.** Don't expect to get rich here. In practice the platform hands you a loan, paid by your users, to finish building the product; if you break even on fully-loaded cost across the whole run, that's a win. The real prize is what the cash buys: a big first cohort, brutal real-world QA, and a direct line into the segment you came for (for us, B2B). You can relaunch later, too: once you're in, AppSumo comes back to you. The trap is getting hooked on that easy, one-time revenue, because it doesn't recur. The strongest products tend to graduate: run a deal, then leave to build a recurring business. We might go back, but only after we've shown real recurring growth, so it's a choice rather than a need. The longer game is converting these users into a subscription motion afterward, which works best for tools with ongoing, credit-like usage (email outreach is a good example) and is doable, if not trivial, for the rest. **2. The system forces you to build quality.** Two levers you can't game: refunds, and sales that ride directly on [reviews that are hard to fake](/guides/how-to-handle-software-reviews/). The numbers above are what that pressure produces: feedback that improved, both in the metrics and in what people wrote. That second lever is the one I keep thinking about now that the launch is behind us. AppSumo worked as a forcing function because the buyers left a public, verified trail, and that trail decided whether the next buyer showed up. The same logic follows the product everywhere it gets evaluated, long after the deal ends, [in the places buyers and AI go to check whether you're real](/blog/the-compounding-rule-saas-ai-citations/). AppSumo just made the feedback loop short enough to feel in real time. Bottom line: you have to fight for it. But somewhere in that fight, you end up with a product you're proud to ship. --- *Have a story from the trenches? Drop us a line at ceo@blastra.io* ## Related Reading - [Design Partners Trust the Founder. Strangers Trust Other Buyers.](/blog/from-the-trenches-ami-burstin/) — Ami Burstin on the gap between warm intros and the proof a cold buyer needs - [How I Turned Two Days of Recordings Into Six Months of Content](/blog/from-the-trenches-tom-snyder-filescom/) — Tom Snyder on solo marketing with AI when there's no team to hand work off to - [How to Launch on AWS Marketplace: What 'Listed' Actually Means](/blog/from-the-trenches-fahad-jawaid-straightline/) — Fahad Jawaid on a very different marketplace launch, where enterprise buyers spend budget they've already committed to AWS - [Directory Strategy as a Competitive Moat](/blog/directory-strategy-competitive-moat/) — Why a managed third-party presence is hard for competitors to copy - [Top Places to Launch Your Startup](/directories/launch/) — A ranked list of launch platforms, from Product Hunt to BetaList, with traffic stats - [How to Get Reviews on G2 and Capterra: A Vendor Guide](/guides/how-to-get-g2-capterra-reviews/) — Turning a first cohort into the verified reviews buyers actually trust - [How to Collect B2B SaaS Reviews Without Getting in Trouble](/guides/b2b-saas-review-collection-rules/) — The rules that keep reviews legitimate, and hard to fake --- --- # G2 Summer 2026 Reports: What the Numbers Mean for Vendors URL: https://blastra.io/blog/g2-summer-2026-reports/ Description: G2 published 27,340 reports this quarter. We walk you through what changed, what it means, and what to do next. G2 released its [Summer 2026 Reports](https://company.g2.com/news/g2-summer-2026-reports) on May 26, 2026 — 27,340 reports across 1,363 report-ready software categories (G2 has more than 2,000 categories total; "report-ready" means the subset with enough review volume to produce a Grid this quarter). This post walks you through what changed, what it means, and what to do next. ## What is a G2 report? If you've heard of Gartner's Magic Quadrant, G2 reports are the crowdsourced cousin. Gartner's analysts spend months evaluating vendors and plotting them on a four-quadrant chart — an in-depth, analyst-led assessment. G2 builds its version algorithmically from user reviews, publishes it for free, refreshes it every quarter, and covers a much larger sweep of categories. Different instruments, same orientation problem they help a buyer solve: who leads this space? Every quarter, G2 takes a snapshot of review data and generates ranking reports for each software category. The main report is the Grid — a chart plotting products on Satisfaction (review scores) versus Market Presence (company size, review volume, web traffic). Products land in one of four quadrants: Leaders, High Performers, Contenders, or Niche. If your product lands in a quadrant, you earn a badge — those images companies post on LinkedIn every quarter. Grid badges require a paid G2 profile to display on your website, but the placement itself is earned through reviews. The badge is the main practical output: third-party validation for sales decks, websites, and marketing. G2 doesn't publish one report per category. For each category, G2 generates the main Grid, plus Momentum reports (tracking which products are gaining traction fastest), Index reports for specific qualities (Usability, Implementation, Relationship, Results), and slices all of these by company size and region. One category can produce a dozen or more reports. "27,340 reports" is roughly 1,363 categories multiplied across all these variants. For a single-product SaaS company in 2-5 categories, appearing in 10-40 reports is normal. ## What this quarter's data tells you **The Leader squeeze keeps tightening.** Only 2% of products on G2 earned a Leader badge this quarter, down from 3% in the [Spring 2026 reports](https://company.g2.com/news/g2-spring-2026-reports) and 4% in Spring 2025. Same caveat as last quarter: the 2% is calculated against G2's entire product pool, which includes a long tail of dormant profiles with few or no reviews. The more useful number — what percentage of Grid-eligible products (those with 10+ reviews in a category) earn Leader — isn't part of the announcement. The trend is what matters here. Even if the underlying math is similar quarter to quarter, the headline number keeps moving in one direction. The total pool grows faster than the Leader slots do. If you're aiming for a Leader badge, category choice matters more this quarter than last. **AI categories still dominate growth — and the mix is shifting toward sales and marketing.** Among the fastest-growing categories: Agentic AI (+26 products), AI Agents (+21), [Answer Engine Optimization (AEO)](/glossary/aeo/) (+14), and AI Sales Assistant (+11). AEO — software that helps companies track whether AI systems like ChatGPT and Perplexity are recommending their product — continues its run; the category [launched in March 2025](https://company.g2.com/news/inside-the-2000-percent-growth-of-the-aeo-software-category-on-g2) with 7 products and grew to more than 150 by January 2026. Profound, an AEO platform and the only Leader on G2's first-ever AEO Grid in Winter 2026, went from launch to $1B valuation in under two years on the strength of that positioning — we walked through the mechanics in [our Profound case study](/blog/profound-category-leadership-playbook/). AI Sales Assistant joining this list is new. Last quarter the AI growth was concentrated in horizontal infrastructure (Agentic AI, AI for Business Operations, AI Customer Support). Now a sales-specific AI category has cracked the fastest-growing list — AI is moving into category-specific roles, and G2's taxonomy is keeping pace. **OpenAI just became the newcomer on G2's list of top-scored companies this season.** That roster has historically been long-running enterprise software makers, so an AI-native company landing there stands out. It's also a small meta moment: G2 separately launched a Large Language Models category, which means G2 now ranks the same systems that increasingly pull from review platforms when generating software recommendations. A [Semrush study](https://www.semrush.com/blog/most-cited-domains-ai/) G2 has referenced puts G2 among the top 20 most-cited domains in LLM responses — so the loop applies whether or not your product touches AI. Your reviews and directory placement are part of what those models read when buyers ask "what's the best tool for X." We wrote about [how that works](/blog/b2b-software-directories-ai-seo-strategy/). For the inverse problem — an incumbent trying to reposition into AI but blocked by the categories on the shelf — see [our teardown of Miro's category positioning](/blog/miro-directory-strategy-teardown/). **Six new categories became report-ready.** Among them: Zero Trust Platforms, Software Design Platforms, Population Health Management, Investor Reporting, Auto Shop Management, and Yard Management. When a category first becomes report-ready, few products have badges — earning a placement is meaningfully easier than in a mature category with hundreds of competitors. Whether to anchor your strategy on a new category is a separate question; some are stepping stones, some are dead ends. ## Making sense of the leaderboard tables G2's announcement includes several ranking tables. Here's what they measure. **"Companies with most reports"** — Microsoft (5,181), Zoho (4,556), Salesforce (3,941), Google (3,734), SAP (3,434). This ranks product portfolio breadth. These companies have dozens or hundreds of products, each generating reports. Adobe added 704 reports this quarter — the largest single-quarter jump in the top 10 — which reflects more Adobe products qualifying in more categories. If you're a single-product company, this table measures a different game than the one you're playing. **"Products with most #1 rankings"** — Google Workspace (383), Canva (327), HubSpot Marketing Hub (297), Slack (293), NinjaOne (293). Dominated by widely adopted products with large Market Presence scores. G2's Market Presence axis weighs employee count and revenue, which gives larger companies a structural advantage for #1 rankings. **"Top products by G2 Score"** — Microsoft SharePoint (98.63), Adobe Photoshop (98.57), Visual Studio Code (98.51), Salesforce Customer Success (98.28), Articulate 360 (97.79). Looks different from the #1 rankings because it's calculated differently. Articulate 360, an e-learning authoring tool, sitting at #5 on this list is a good reminder: a smaller product can outscore household names when its review base is concentrated and strong. **Most improved:** Attio, a CRM, climbed 143 spots inside its category. CRM is one of G2's most contested categories, so the move stands out. The pattern — concentrated review collection inside a single category — is the one most vendors use when competing for placement. **What matters for most vendors:** Your placement in the Grid quadrant for your specific categories. That determines your badge. A smaller company with strong reviews lands as a [High Performer](/all-software-awards-and-badges/g2-grid-high-performer/) — high satisfaction, lower market presence — which is a meaningful and realistic target. ## What to do next The starting point is knowing where you stand. Where are you listed? What categories are you in? Do you have reviews? Are there [badges you've earned](/blog/software-badges-decoded-ai-trust-signals/) and don't know about? [Blastra checks this for you.](https://blastra.io) When you sign up, we scan your current directory presence across G2, Capterra, SourceForge, and other platforms — and show you what's there, what's missing, and where you should be. A security team we recently onboarded discovered a SourceForge Leader badge they didn't know about and listings being managed by people who'd since left the company. **If you want to earn a G2 badge:** You need at least [10 reviews in a category](/guides/how-to-earn-g2-badges/) to appear on the Grid, and [a clean way to collect them](/guides/b2b-saas-review-collection-rules/) — incentivized or gated review asks can get flagged. G2's Fall 2026 reports release August 25, so the next actionable window is now: focus on 2-3 categories, especially newer ones with less competition, or consider [creating a category](/guides/how-to-create-a-new-software-category/) if none fits your product. Aim for High Performer first; Leader is a longer game. **If you're already earning badges:** Consider diversifying across directories. With G2's acquisition of Capterra, Software Advice, and GetApp closed in February 2026, more of the discovery surface sits inside one ecosystem. Presence on [TrustRadius](/guides/how-to-earn-trustradius-badges/), [PeerSpot](/guides/how-to-earn-peerspot-badges/), [SourceForge](/guides/how-to-earn-sourceforge-badges/), and others is a hedge — and AI systems cite multiple sources when recommending software, so spreading your reviewed footprint widens the surface they read from. **If managing all of this sounds tedious:** It is. That's [what we do](https://blastra.io). Or you can try navigating the Grid yourself. Dodge bad reviews, land in the right quadrant, earn the badge — all in 90 seconds. --- *This post references G2's Summer 2026 Reports published May 26, 2026, and G2's publicly available [scoring methodology documentation](https://documentation.g2.com/docs/research-scoring-methodologies). Numbers reflect the data as published by G2 and may change as reports are updated. Blastra is not affiliated with G2; all G2 trademarks, logos, and brand elements referenced here belong to G2.* ## Related - [How to Earn G2 Badges in 2026](/guides/how-to-earn-g2-badges/) — Badge requirements, paid vs. free profiles, and review thresholds - [How G2's AI Categories Work](/guides/how-g2-ai-categories-work/) — AI categories on G2 and what they mean for your listing strategy - [How G2 Is Building G2.ai Into an Expertise Marketplace](/blog/what-is-g2-ai/) — What we found inside ai.g2.com's Blueprints platform - [G2 + Capterra Acquisition: What It Means for Vendors](/blog/g2-capterra-acquisition-vendor-strategy/) — Strategic analysis of the consolidation - [How to Get Ranked on G2](/guides/how-to-get-ranked-on-g2/) — G2's scoring algorithm, Grid placement mechanics, and review thresholds - [25 Software Badges Decoded](/blog/software-badges-decoded-ai-trust-signals/) — Requirements for badges across G2, Capterra, SourceForge, TrustRadius, PeerSpot, and Gartner --- # Profound vs. Conductor: The AEO Title Fight, Scored Round by Round URL: https://blastra.io/blog/profound-vs-conductor-aeo/ Description: Conductor's email named the terms of the answer-engine (AEO) title fight. We tested its three claims across 20 review sites and software directories, scored round by round. This post is published in a custom magazine format. See the route at `/blog/profound-vs-conductor-aeo` for the rendered version. Frontmatter here drives the listing card, OpenGraph image, and structured data; the rendered page is a React component under `apps/web/app/(marketing)/blog/profound-vs-conductor-aeo/`. --- # Design Partners Trust the Founder. Strangers Trust Other Buyers. URL: https://blastra.io/blog/from-the-trenches-ami-burstin/ Description: A fractional CMO on watching a good company fail, and the gap between building visibility and building trust in cold channels. *From the Trenches is a Blastra series featuring practitioners solving real problems at work - one shot at a time.* --- ## The Engagement I got introduced to this founder through a mutual connection about two years ago. Someone I trusted said: you should talk to this person. So I did. Within about twenty minutes I was sold on the company, and not in a naive way. The founder had done the job the product was built for. They'd felt the problem from the inside, which is rarer than it sounds. Most founders I talk to have observed a problem and had a vision, then started getting to know the market only after they released their first beta. This one had lived it, then decided to fix it. They had a small seed round closed and a handful of early customers already using the product. The initial signals were good. At first, they brought me in to help with marketing strategy: positioning, content, building visibility. I was energized. This was the kind of company I like working with - clear problem, real founder credibility, early proof that the product worked. ## The First Few Months Felt Like Momentum Their early customers had come in through the founder's network. A contact here, a referral there, someone from a previous job who introduced them to someone else. A few recognized names, which we used for the logo strip ("Trusted By"), customer quotes, and two case studies that we distributed across the website, social, newsletters, and more. They were people who already trusted the founder, or at least someone in their close network, enough to take a meeting - and then trusted the product enough to sign. The deals moved fast, which made sense. The founder was good at sales. They understood the buyer's situation without having to work at it, because they'd lived in that world. Deals closed at a solid rate. Meanwhile, we built out the marketing side: consistent blog posts, the founder's LinkedIn growing, some PR coverage and podcast appearances. We also invested in serious outbound providers I'd worked with before. We went all in on marketing. For a while, all the indicators pointed up. ## Then the Pipeline Got Stuck It happened gradually, which made it harder to catch. There was still a lot of activity, but deals weren't closing the way they had been. The numbers were softer and neither of us could point to a clear reason. My first assumption was messaging. Maybe the positioning wasn't landing for a wider audience. We revisited the pitch language and sharpened how the value was framed. It helped at the margins, but the close rate stayed soft. My second assumption was volume. We leaned into content harder and tried cold outreach. First meetings started happening from those efforts, which felt like a signal we were on the right track. But the close rate on those meetings was much lower than what we'd seen before. And I kept explaining it away: better-fit leads would convert at a higher rate, the outreach needed to mature, the brand was still building. ## I Kept Optimizing for the Wrong Problem What I was watching but not naming clearly enough was this: the people in those early deals and the people in the new pipeline were going through opposite experiences of this company. The early customers had heard about the company from someone they trusted. They walked into the first meeting already somewhat convinced. Their question was whether the details added up. They were already past the question of whether the company was worth trusting at all. The founder's job was to confirm the answer and close the deal. The newer leads were strangers. No one had vouched for the company to them. They'd taken a cold meeting with an early-stage startup they'd never come across before, and they started from skepticism. Their question was whether to trust this at all. Design partners had signed on because of the founder. Strangers needed proof that didn't depend on knowing the founder. Those are two different tests, and the second one had never been built for. I kept treating the close rate problem as an execution problem. Sharper pitch, better follow-up, more top-of-funnel to make up for the conversion gap. But the gap came from somewhere else: a question a cold prospect needs answered before they'll take a bet on an early-stage product. *Why should I trust that this is real?* That question gets answered before the sales call, in [the places buyers go to evaluate whether a company is worth talking to](/blog/introducing-visibility-posture-alpha/). We hadn't built that presence. ## Within a Year, the Company Closed When I heard, I sat with it for a while. The founder had been right about the problem. The team was talented, the product worked, the execution was there. The content machine was still publishing when they made the announcement. What kept coming back to me was the feeling of having watched something fail while everything looked operational from the outside. The activity metrics were fine, the effort was real, the work wasn't reaching the constraint. ## What I Look for Now I think about this company when I'm working with early-stage teams on their go-to-market, as a calibration for myself. I came into that engagement with a belief I didn't examine closely enough: that good content plus consistent outreach would [compound into pipeline](/blog/the-compounding-rule-saas-ai-citations/) over time. Maybe it would have, eventually. But "eventually" is not a timeline most seed-stage companies have room for, and the content machine doesn't know the runway is shrinking. A cold prospect deciding whether to take a meeting is looking for one thing: [proof that other buyers like them](/blog/software-badges-decoded-ai-trust-signals/) have already evaluated you and found you worth it. If that proof isn't there, or isn't visible, the effort you put into the meeting itself is fighting uphill. The founder was closing early deals because that proof existed in the form of a relationship - a person who vouched for them. In the cold channel, the vouching has to come from somewhere else. Figuring out what fills that role, and building it early enough for it to matter, is work that doesn't feel urgent until suddenly it's the only thing that matters. I didn't give it that much thought then. Now it's the first thing I look for. --- *Have a story from the trenches? Drop us a line at ceo@blastra.io* ## Related Reading - [How I Turned Two Days of Recordings Into Six Months of Content](/blog/from-the-trenches-tom-snyder-filescom/) — Tom Snyder (Files.com) on solo marketing with AI when there's no team to hand work off to - [From Trustpilot to Gartner: How TeamViewer Wins on 8+ Platforms](/blog/from-the-trenches-alvaro-padilla-teamviewer/) — Alvaro Padilla on building, at enterprise scale, the kind of cold-prospect proof Ami is talking about - [The Compounding Rule: Directories + Authority Drive AI Citations](/blog/the-compounding-rule-saas-ai-citations/) — Our research on why "content + outreach" alone doesn't compound the way founders expect — and what does --- # The Compounding Rule: Directories + Authority Drive AI Citations URL: https://blastra.io/blog/the-compounding-rule-saas-ai-citations/ Description: AI citations for SaaS: brands with high directory volume + topical Google authority were cited by ChatGPT 84% of the time vs 34% for neither (April 2026). Across 137 B2B SaaS companies and 120 buying queries, run through four AI engines in April 2026, the brands ChatGPT cited most had two things in common. They had high-volume presence on review directories, and they had strong topical authority on Google, meaning Google ranked them for a high count of keywords inside their product category. In our April 2026 dataset, brands with both signals at once were cited 84% of the time. Brands with neither sat at 34%. A 50-percentage-point gap. The study's authors, EMGI Group, named the pattern the Compounding Rule. Before going further: this is research Blastra, a SaaS listings management platform, co-produced with [EMGI Group](https://emgigroup.com/blog/directory-listings-and-ai-search-citations/), an authority-building agency for SaaS. Blastra contributed the directory crawl: 23 review and listing platforms, more than 130 SaaS brands, more than 2,000 individual listing checks. EMGI ran the AI citation analysis and named the rule. The findings I'm walking through are EMGI's. The interpretation is mine. The Compounding Rule is one important controllable play inside a larger AI citation economy. Reddit alone accounts for roughly 40% of AI citation share for SaaS queries in public datasets, and earned media, Wikipedia, and community surfaces show up repeatedly across AI visibility research like [Profound's](/blog/b2b-software-directories-ai-seo-strategy). What this article describes is the controllable part: the surfaces you can act on, plus a shortlist of where to put the budget. The qualitative version of this argument (why AI engines look for consensus across third-party sources at all) is in [an earlier piece we published on the consensus pattern](/blog/ai-search-consensus-pattern-saas-recommendations). This post is the numbers behind it. ## The Compounding Rule, stated simply EMGI split the companies on two axes: directory review volume above or below the sample median, and Google topical ranking volume above or below the sample median. That produces a four-quadrant matrix. Here's what fell out: The stacked quadrant gets roughly 5x the average citations of the empty quadrant in our sample (8.2 vs 1.6). Either signal alone gets you partway. Both together is where the gap opens. The mechanism, in EMGI's framing: AI engines look for confirming evidence across multiple authority surfaces. One signal looks like noise. Two signals look like a pattern. Three signals look like a brand. LLMs are directory visitors too. They scan listings the same way a human triager would, faster and across more surfaces, arriving at category conclusions before the buyer ever reaches your website. When [user reviews](/glossary/user-reviews/) on the [software directories](/glossary/software-directory/) agree with what Google ranks you for on the category-research queries buyers run before they short-list, the model treats your category placement as consensus and surfaces you with confidence. When those signals disagree, the model defaults to the dominant one or skips you, and [keeping your listings consistent](/blog/entity-consistency-ai-search-visibility/) about what you are is what prevents that. These are top-of-funnel triage queries. Buyers (and the LLMs working on their behalf) are deciding what to even keep looking at on the way to a short list. The buying decision comes later. For a practitioner's view of what happens when only one half of the Compounding Rule is in place, see [Ami Burstin on watching a good company fail in the gap between warm intros and cold conversion](/blog/from-the-trenches-ami-burstin/). His engagement was running the content half consistently; the directory half was missing. The cross-engine convergence is the most defensible finding in the study. Google AI Overviews appearances and ChatGPT citations correlate at r = 0.91 across the dataset (where 1.0 is perfect correlation and 0 is none; 0.91 is unusually tight). The engines converge on the same brands at the visibility level. If you become visible on one, you tend to become visible on the others. Track one engine and you have a strong proxy for the rest. ## Reviews drive citations, ratings don't The single cleanest illustration in the study sits inside one platform. G2 review *count* correlates with ChatGPT citations at r = +0.48, a moderate positive relationship on the -1 to +1 scale. G2 average *rating* correlates at r = -0.19, slightly negative but close to noise. Trustpilot mirrors the pattern: +0.32 on review count, -0.29 on rating. EMGI's framing, as they wrote it: "Reviews drive citations. Stars do not." The -0.19 needs an honest caveat that EMGI flags themselves: brand-size confound. Big incumbents have broader customer bases, more diverse review pools, and therefore lower average ratings. Read the -0.19 as a residue of who has the most reviews in the first place. The safe read: volume drives the citation effect, and ratings have no clear positive contribution beyond what volume already explains. Category placement is the gate. Pipedrive is listed as CRM on 11 of 11 directories we surveyed and gets cited for CRM queries. Apollo is listed as sales engagement on every [review platform](/glossary/review-platform/) we checked and gets cited for sales-engagement queries. CRM queries don't pick up Apollo, even with 12,597 directory reviews and a #2 Google ranking on "best outbound sales prospecting tool." Apollo isn't doing anything wrong; AI just follows the shelves the directories assign, and Apollo's shelf is sales engagement. If you want citations in a category, your listings need to live in that category. Volume in the wrong category doesn't travel. ## Lift by directory EMGI calculated lift for each directory as the percentage-point difference in AI citation rate between brands listed and brands not listed. Here is the full lift chart across the 12 SaaS-directory platforms in the analysis: | Directory | Lift (pp) | |---|---| | [TrustRadius](/guides/how-to-earn-trustradius-badges/) | +47 | | Crozdesk | +43 | | GetApp | +40 | | SoftwareReviews | +38 | | [Gartner Peer Insights](/guides/how-gartner-peer-insights-actually-works/) | +36 | | [Trustpilot](/guides/how-trustpilot-recognition-works/) | +31 | | SoftwareAdvice | +29 | | [Capterra](/guides/how-to-earn-capterra-badges/) | +28 | | [G2](/guides/how-to-get-ranked-on-g2/) | +24 | | [PeerSpot](/guides/how-to-earn-peerspot-badges/) | +22 | | [SourceForge](/guides/understanding-sourceforge/) | +18 | | AlternativeTo | +9 | Lift clusters above the mid-30s and drops off below. For readers outside the listings world: TrustRadius is a B2B review platform known for longer-form, deeply vetted reviews. Crozdesk is a European-rooted SaaS directory aggregator. SoftwareReviews is the research arm of Info-Tech, the IT analyst firm. The G2, GetApp, SoftwareAdvice, and Capterra cluster all sit under Gartner Digital Markets as of February 2026. PeerSpot is an enterprise IT review platform (formerly IT Central Station). AlternativeTo is the consumer-leaning "find an alternative to" tool aggregator, useful as a long-tail signal but weaker as a citation driver in this sample. Crunchbase sits outside this list, as a separate baseline. Its lift was +61 percentage points. Every brand in the dataset that wasn't on Crunchbase had zero citations: a striking floor in a curated sample, worth holding loosely. Being absent from Crunchbase is conspicuous, and it's the cheapest signal floor available. Whether the listing itself produces citations is still open. Two surprises sit inside that table. The first is Crozdesk at #2, well above G2. The second is G2 at #9. G2 is the dominant SaaS-directory surface in the public AI-citation research published in 2025–2026 (Kevin Indig's analysis put G2 at ~22% share of voice on software-related AI queries; G2's own studies put it higher), so a +24 lift behind TrustRadius, Crozdesk, GetApp, SoftwareReviews, Gartner Peer Insights, and Trustpilot reads as a surprise. The honest reading is that marginal lift points is a saturation-sensitive metric on near-universal platforms. Most cited brands are already on G2, so the variance (and therefore the lift gap) shrinks compared to less-saturated directories. And [post-February 2026](/blog/g2-acquires-capterra-gartner-digital-markets), the G2 Digital Markets portfolio spans four spots in this chart: G2 (#9), GetApp (#3), SoftwareAdvice (#7), and Capterra (#8). The platform-level read from this data: be on G2 and its sister sites, because one company now owns four of your higher-lift profiles. Trustpilot's +31 lift is consistent with [its broader AI citation footprint](/blog/trustpilot-ai-search-visibility) outside the SaaS directory category. ## Read the original study If you want to pressure-test the analysis above (see the original charts, the per-category breakdowns, the engine-by-engine correlations, and EMGI's full methodology), go to [emgigroup.com/blog/directory-listings-and-ai-search-citations/](https://emgigroup.com/blog/directory-listings-and-ai-search-citations/). The numbers here are an April 2026 snapshot. They'll move as AI engines update and the dataset gets re-measured. The shape of the argument (stacked signals beat single signals) should hold longer than the specific lift figures. --- # How Profound Became a Category Leader in AEO: A Case Study URL: https://blastra.io/blog/profound-category-leadership-playbook/ Description: A SaaS category creation case study: how Profound became the AEO category leader in under 2 years, hit $1B valuation, and dominated the G2 Grid. **Profound at a glance** - **Founded:** 2024 - **Latest round:** $96M Series C at $1B valuation (February 2026) - **Notable customers:** Target, Walmart, MongoDB, U.S. Bank - **G2 rating:** 4.6 across 300+ reviews - **G2 category:** Answer Engine Optimization (Category Leader, Winter 2026 Grid), AI Search Visibility Optimization Tools - **Headquarters:** New York, NY Last week, Profound announced a new role — and a free course to train people into it: the Marketing Engineer. The framing positions a more technical marketer, one who ships AI agents and builds autonomous workflows, as a different sort of professional from a traditional marketing ops lead or SEO specialist. Profound, an AI visibility tool, has been making waves of a kind the industry hasn't seen in a long time. They are defining the entire [Answer Engine Optimization](/glossary/aeo/) category: running the Zero Click summit, and promising brands they can control what AI says about them. In February 2026, they announced a $96 million Series C at a $1 billion valuation — all of that less than two years after founding. There is some skepticism around the AEO category itself — voices in the SEO community argue that AI is basically another channel to optimize for and track, so the story should be about SEO evolving rather than a new category being born. The trouble with that framing is that it doesn't get you into executive rooms where the big budgets are set, and a $1B valuation becomes much less likely. Profound seems to be distancing itself from SEO — they say AI requires entirely new tooling and roles to orchestrate those tools. When you look at their directory presence, Profound is consistently categorized as AEO or GEO. That categorization shapes how AI systems and buyers perceive them. ## The category creation play Unlike the pioneers of category creation — HubSpot with Inbound Marketing and Gong with Revenue Intelligence — Profound didn't give AEO its name, and wasn't even the first company to start talking about it. But they were there early, with the level of precision that now lets them lead it. In March 2025, G2 — the leading B2B software review site — formalized the category, originally under the name GEO Tools (later renamed to AEO Tools). Despite the long list of SEO platforms that had been around for years, the category started with only seven products — old SEO tools with AEO functionality and the new pure AEO tools. Profound was one of them. In December 2025, G2 published its Winter 2026 Reports — G2's quarterly reports are labeled for the quarter they cover going forward. AEO qualified for its first-ever Grid® Report, featuring nine products. Profound was named the only Leader on that Grid. Otterly.AI and Scrunch AI came in as High Performers. Semrush, BrightEdge, and Conductor — companies with decades of combined SEO history and orders of magnitude more total reviews on G2 — sat as Contenders. Quattr, GetCito, and GenRank.io filled the Niche tier. Two months later, came the new funding and the unicorn valuation announcement. In [G2's Spring 2026 Reports](/blog/g2-spring-2026-reports/) (published March 17, 2026), Semrush had mobilized and swept #1 in AEO on G2 — proving that established tools can respond. But Profound is still in the Leadership corner. ## What the directory data shows We ran a Blastra visibility analysis across 18 directories on April 20, 2026, comparing Profound against two neighbors on the Grid — Conductor (an established enterprise SEO platform that's leaning into AEO) and Semrush (the new AEO #1 on G2 after Spring 2026). Here's what the three look like side-by-side: **G2 is load-bearing.** The bulk of Profound's reviews sit on G2, versus fewer than 10 reviews combined across every other directory they're listed on. Profound put everything into the platform that defined their category, and won the Grid badge. **Thin but on-point everywhere else.** Key platforms all categorize Profound correctly under AEO, GEO, or AI Visibility. Zero reviews on most, but the listings exist, the categories are right, and AI systems scanning for AEO tools will find them. **The big absence: the Capterra family.** Capterra, GetApp, and Software Advice — all now part of [G2's acquired Digital Markets portfolio](/blog/g2-capterra-acquisition-closed/) — are not in Profound's footprint. That's the most interesting gap. ## What we'd expect next from them Three predictions at different confidence levels. Now that G2's AEO category is getting crowded — 250+ solutions as of this writing — we think Profound might want to increase its reach. **High confidence: Profound will appear on Capterra, GetApp, and Software Advice within 12 months.** G2 acquired Gartner Digital Markets in February 2026, and the three properties already syndicate listings and reviews with each other — with G2 syndication expected to follow. For a G2 Leader in an AI-adjacent category, skipping the sister platforms is a visibility gap that should be closed. **Medium confidence: Capterra PPC becomes a channel, especially for international reach.** Capterra's PPC auction lets you bid by country and category, and the localized versions (30+ countries with particularly strong EMEA and Latin America coverage) are one of the fastest ways to buy qualified attention in markets where organic AI citation lags English-dominant platforms. Profound can afford the experiment. With customers like Target, Walmart, MongoDB, and U.S. Bank expanding internationally, it's a hard channel to leave on the table. **Lower confidence: Gartner Peer Insights, eventually.** GPI is enterprise-only, requires heavy ongoing work, and is a slow build. But Profound already serves 10% of the Fortune 500. The GPI listing exists for companies that want to be part of Gartner's buyer-shortlist process — and with Profound's enterprise trajectory, that may soon become strategic. ## Category Creation Playbook: 6 Lessons for B2B SaaS Founders The Profound story is an example of how AI founders can leverage momentum. Watch the new AI categories G2 creates, be there early, and gather enough reviews. You get a real shot at winning over incumbents who won't have enough category-specific reviews to score high on the Grid. (For the current shape of G2's AI taxonomy and which categories are still Pre-Grid, see our guide to [how G2 AI categories work](/guides/how-g2-ai-categories-work/).) The playbook, observable from the outside: 1. **Pick a category with momentum.** G2 saw AEO early and gave it a shelf. Profound didn't need to persuade the world AEO was a thing — G2 had done that work. 2. **Go deep on one platform first, with the right reviews.** Their G2 reviews represent a sustained investment before the Grid Report cut. The content of those reviews matters as much as the count — Semrush had the data authority and the product reach, but its Winter position suggests the AEO-specific review volume wasn't there yet. 3. **Get the badge, then amplify it.** 4. **Cover the other directories enough to show up in AI answers, without diluting focus.** Correct categories across six other review platforms is sufficient. Reviews can follow. 5. **Build the profession around the product.** Conference, university, certifications, named role. 6. **Keep the narrative discipline.** One message, every surface: purpose-built for AEO. For the inverse case — an incumbent trying to reposition into an AI category but blocked by the directory taxonomies that drive discovery — see [our teardown of Miro's review site strategy](/blog/miro-directory-strategy-teardown/). For the rules around how G2 reviews can be collected (and the line between platform-supported incentives and what crosses the FTC's Fake Reviews Rule), see [safe B2B SaaS review collection](/guides/b2b-saas-review-collection-rules). ## FAQ ### How did Profound become the AEO category leader? Profound invested heavily in G2 before the first Grid Report cut off for reviews, ran a consistent AEO-only narrative across every surface, and backed it with category infrastructure — the Zero Click summit, Profound University, and the new Marketing Engineer role. They were named the only Leader on G2's first-ever AEO Grid in the Winter 2026 reports. ### What is Answer Engine Optimization (AEO)? AEO is the practice of optimizing content so it gets cited by AI search engines like ChatGPT, Perplexity, and Claude. G2 formalized AEO as a software category in March 2025 — originally under the name GEO Tools, later renamed to AEO Tools. See our [AEO glossary entry](/glossary/aeo/) for the longer definition. ### Is Profound a SaaS category creator or a category leader? Profound is a category leader, not the original creator. AEO existed as a concept before Profound launched, and they were not the company that named the category. But they were early on the right platform (G2), invested in reviews before the Grid cut, and defined the category narrative operationally — through the Zero Click summit, Profound University, and a named role. ### How long did it take Profound to reach unicorn status? Less than two years from founding. In February 2026, Profound announced a $96M Series C at a $1B valuation. The Series C followed two months after Profound was named the only Leader on G2's first-ever AEO Grid Report in the Winter 2026 reports. ### What's the difference between category creation and category leadership? Category creation is defining and naming a new market segment. Category leadership is winning the top position in that segment, regardless of who named it. Profound led AEO without creating it. HubSpot (Inbound Marketing) and Gong (Revenue Intelligence) are examples of companies that did both. ### Who are Profound's main competitors on G2? On G2's Winter 2026 AEO Grid Report, Otterly.AI and Scrunch AI came in as High Performers. Semrush, BrightEdge, and Conductor sat as Contenders despite decades of combined SEO history. By the Spring 2026 Reports, Semrush had mobilized and swept #1 in AEO — proving incumbents can respond, though Profound is still in the Leadership corner. --- ## Related Reading - [A Tactical Guide to Software Category Creation](/guides/how-to-create-a-new-software-category/) — What to do when the category your product belongs in doesn't exist on G2 yet - [Miro's Review Site Strategy Teardown](/blog/miro-directory-strategy-teardown/) — The inverse case: an incumbent trying to reposition into AI when the directory categories block the narrative - [How Gartner Peer Insights Actually Works](/guides/how-gartner-peer-insights-actually-works/) — Why GPI is a slow enterprise build, and when the investment pays off - [G2 Acquired Capterra — The Deal Is Done](/blog/g2-capterra-acquisition-closed/) — Why the Capterra, GetApp, and Software Advice portfolio now matters for any G2 Leader ## Data and Methodology This analysis was run on April 20, 2026. We assessed Profound's presence across 18 software directories and review sites. Review counts, ratings, and claim status are point-in-time snapshots. **A note on the Semrush comparison.** Profound and Conductor each have a single product listed on G2 and across the other directories in the scan. Semrush has eight products on G2 alone. The ratings and review counts shown for Semrush above reflect Semrush's core product only (the flagship "Semrush" listing), not the combined footprint of the entire product line. A fair head-to-head on Semrush's total AEO/SEO presence would also include Semrush AI Toolkit, Semrush Local, Semrush Enterprise, and the rest of the portfolio. Profound is not a Blastra customer. This teardown uses publicly available data. Contact us if you are interested in our assessments: ceo@blastra.io --- # Miro's Review Site Strategy: G2, Capterra, 19 Platforms Audited (2026) URL: https://blastra.io/blog/miro-directory-strategy-teardown/ Description: We audited Miro's review site strategy across 21 platforms — G2, Capterra, Gartner, TrustRadius. What the data shows about category presence and AI gaps. Miro is moving. The company is working on repositioning, and we may not yet be seeing it clearly but they are. Their Gartner Peer Insights listing targeting enterprises describes the product as an "AI Innovation Workspace." The product page talks about humans and AI collaborating. In late March, they acquired Reforge — a product strategy platform used by teams at Netflix, Mastercard, and Xero — and installed its founder as Chief Growth Officer and its COO as Chief Strategy Officer. When you're Miro's size, changing how the market sees you takes time — gradually, then suddenly. We analyzed 21 [software directories](/glossary/software-directory/) and review sites to see where that shift has reached: [G2](/guides/how-to-get-ranked-on-g2/), [Gartner Peer Insights](/guides/how-gartner-peer-insights-actually-works/), [TrustRadius](/guides/how-to-earn-trustradius-badges/), [Capterra](/guides/how-to-earn-capterra-badges/), [SoftwareReviews](/guides/how-softwarereviews-awards-work/), [PeerSpot](/guides/how-to-earn-peerspot-badges/), [Trustpilot](/guides/how-trustpilot-recognition-works/), and more. The short version: Miro has been updating its messaging on key platforms, but the categories that drive discovery still say whiteboard and team collaboration tool. The descriptions talk about AI — the taxonomies don't. ## Why Miro's G2 and Capterra Categories Don't Match Its AI Positioning This matters more than it used to. As [Limor Barenholtz at Similarweb wrote](https://www.similarweb.com/blog/marketing/geo/aeo-for-saas-product-pages/): "AI systems build confidence in your product's identity by cross-referencing what multiple sources say about it. If your website describes your product as a 'sales intelligence platform,' your G2 page calls it a 'B2B data tool,' and your LinkedIn company description says you provide 'revenue intelligence software,' the AI encounters three different entity representations and reduces its confidence in any one of them." Miro has exactly this problem. They've been working to update their messaging — the product descriptions on G2, Gartner Peer Insights, TrustRadius, and PeerSpot all reference AI capabilities or the "AI Innovation Workspace" positioning. But there are no correct corresponding categories. Capterra still classifies Miro under "Idea Management Software." Software Advice says "Project Planning Software." SoftwareReviews says "Whiteboard Software." G2 has "Emerging AI Software" as a supplementary category, but the primary classifications remain "Visual Collaboration" and "Collaborative Whiteboard." Categories like "AI Innovation Workspace" or "Human-AI Collaboration Platform" don't yet exist on most directories — so even the framing Miro wants to own isn't available as a classification on the platforms that drive discovery. (For the current shape of G2's AI taxonomy and how placement decisions get made, see our guide on [how G2 AI categories work](/guides/how-g2-ai-categories-work/).) An AI system [cross-referencing these sources](/blog/entity-consistency-ai-search-visibility/) will see the AI messaging in some descriptions but find it contradicted by the categories that structure the data. Category placement shapes which competitive sets buyers find. A buyer searching "Project Planning Software" lands next to Asana, Monday.com, and Smartsheet. A buyer searching "Visual Collaboration Platforms" lands next to Mural and Lucid. Both searches return Miro; neither feeds their new narrative. Given how difficult it is to propagate new messaging on the directory layer (this is why we built Blastra, by the way), directories likely trail the Miro product by 12–18 months. Compare this to [how Profound won the AEO category from a standing start](/blog/profound-category-leadership-playbook/) — by being early on the right platform with the right category placement before the Grid cut. Miro's situation is the inverse: an incumbent with the reviews and the budget, blocked by the categories the platforms have on the shelf. ## How Miro Manages Reviews Across G2, Capterra, Gartner and More Miro has a dedicated customer marketing manager role and has been investing heavily into building its stellar reputation across major review platforms. It holds the first Gartner Peer Insights Customer Choice award, multiple G2 badges, and TrustRadius carries "Top Rated" and "Trusted Seller" badges — those require active participation. On G2, Trustpilot, and Capterra, vendor responses appear in the negative review sections. At this review volume, most companies stop reading their own feedback. Miro is still openly taking feedback. And good for them — if earlier only buyers were digging through it, now AI is eager for the authentic public communication. Once the taxonomies catch up and reviews start referencing human-AI collaboration, they will win the same way they are winning the visual collaboration recommendations now. But until then, there could be a window of opportunity for those competing in the space. ## Miro Reviews: What Users Actually Say vs What Miro Claims When analyzing Miro's directory presence, we also looked at their main claims versus the verified user reviews. - Users love the product and recommend it consistently - The platform works for teams of any size, starting free - It covers the full collaboration workflow from ideation to delivery ### "Teams love it" — grounded The most validated claim. G2's summary (12k+ reviews) names intuitive design, effortless collaboration, versatile features, and real-time collaboration as the top positive themes. TrustRadius (almost 10k reviews, 9.1/10) and Capterra (1,600+ reviews, 4.7) tell the same story. PeerSpot, which skews enterprise, shows 100% recommendation rate. Gartner Peer Insights (700+ reviews, 4.6) confirms the pattern in the enterprise procurement context. Competing on whiteboard experience, real-time collaboration, or ease of use is a credibility fight Miro wins on evidence across every platform. ### "For teams of all sizes, starting free" — pressure at the transition The free plan is in the marketing and referenced on every major directory. The reviews are specific about what happens after it. Across G2, Capterra, and Software Advice, "limited free plan features requiring costly upgrades" and "price is high for small teams" appear consistently in critical sections — nearly a thousand mentions on G2 alone. The same complaints show up on Trustpilot — automatic seat charges users didn't expect, free plans that became read-only without notice, difficulty reaching human support. Trustpilot's low review count and 2.0 TrustScore don't mean much at Miro's scale, but they confirm the pattern rather than create it. These are the users most likely to churn: price-sensitive, free-tier-first, and vocal when the upgrade hits. Miro responds to about a third of the negative reviews there. ### "Covers the full workflow" — contested At Miro's review scale, G2 is specific about where the product falls short. The most mentioned critical theme across thousands of reviews is "missing broad overview and project management features." That's a significant segment wanting Miro to be something adjacent to what it's designed to be. Confluence board embedding and slow loading with heavy boards round out the top friction areas. TrustRadius names Figma as an emerging competitor for advanced design tasks — unprompted, in user reviews. ClickUp, Notion, Monday.com, and Figma all appear in Miro's G2 alternatives list. Any tool that does a specific part of what Miro does — project tracking, diagramming, design handoff, agile planning — with cleaner pricing or tighter focus can take a slice without needing to beat Miro on the whiteboard. ## Miro's Presence Across 21 Software Review Sites (April 2026 Data) ## What we'd expect next from them Three predictions at different confidence levels for how Miro's review site strategy will evolve over the next 12–18 months. **High confidence: Miro will lobby G2 for a category that fits the new positioning.** With 12,000+ G2 reviews, Miro has the leverage to push for a "Human-AI Collaboration" or "AI Workspace" category — or to expand "Emerging AI Software" from a supplementary tag into a primary category Miro can win. The Reforge acquisition and the new CGO/CSO appointments are the kind of executive signal that usually precedes this kind of platform-level lobbying. **Medium confidence: customer review programs get retargeted at the AI workflow.** Miro's existing review-collection infrastructure currently produces feedback about whiteboard collaboration. Expect 2026 review prompts to ask customers specifically about AI features, agent workflows, and the human-AI handoff — so the next 1,000 reviews start populating the language an AI category needs. **Lower confidence: a Trustpilot recovery push.** The 2.0 TrustScore is dragged down by free-tier billing complaints. With a customer marketing manager already responding to about a third of negative reviews, an organized response and refund-policy clarification campaign could move the score in 2–3 quarters. Lower confidence because Trustpilot isn't a B2B discovery surface, so the ROI math is shaky. ## FAQ ### What categories is Miro listed under on G2? Miro's primary G2 categories are Visual Collaboration Platforms and Collaborative Whiteboard. "Emerging AI Software" appears as a supplementary category, but the category that drives discovery still positions Miro as a whiteboard tool — not the AI Innovation Workspace its product page now describes. ### How many reviews does Miro have on G2 and Capterra? As of April 2026, Miro has 12,674 reviews on G2 (4.6 rating) and 1,681 reviews on Capterra (4.7 rating). The same Capterra review count syndicates to GetApp and Software Advice, which are part of the G2 Digital Markets portfolio after the February 2026 acquisition. ### What is Miro's Trustpilot score? Miro's Trustpilot score is 2.0 across 132 reviews. The low score is driven by free-tier billing complaints — automatic seat charges, free plans becoming read-only without notice, and difficulty reaching support. Trustpilot's review volume is too small to be statistically meaningful at Miro's scale, but it confirms a pattern visible across G2 and Capterra critical reviews. ### Is Miro repositioning as an AI platform? Yes. Miro's product page describes humans and AI collaborating, the Gartner Peer Insights listing calls the product an "AI Innovation Workspace," and the March 2026 Reforge acquisition installed Reforge's founder as Chief Growth Officer. The repositioning is visible in the descriptions Miro controls — but the categories on G2, Capterra, Software Advice, and SoftwareReviews still classify the product as whiteboard, idea management, or project planning software. ### What is the difference between Miro's product description and its G2 category? The product description references AI and human-AI collaboration. The primary G2 category is Visual Collaboration Platforms / Collaborative Whiteboard. AI systems cross-referencing Miro's listings encounter two different entity definitions — the AI messaging in some descriptions, contradicted by the categories that structure the data — and reduce confidence in either. ### Who are Miro's main competitors according to review sites? Miro's G2 alternatives list includes ClickUp, Notion, Monday.com, and Figma. TrustRadius reviews specifically name Figma as an emerging competitor for advanced design tasks. Mural and Lucid sit in the same Visual Collaboration category on G2, while project-management adjacencies (Asana, Smartsheet) compete in the Project Planning Software category Miro inherits on Software Advice. ## Data and Methodology This analysis was run on April 13, 2026. We assessed Miro's presence across 21 software directories and review sites. Review counts, ratings, and claim status are point-in-time snapshots. Miro is not a Blastra customer. This teardown uses publicly available data. Contact us if you are interested in our assessments: ceo@blastra.io --- # Software Directories That Actually Reach Latin America URL: https://blastra.io/blog/software-directories-latin-america/ Description: Which global directories have LATAM localization, which local platforms matter, and what to do first if you're expanding into the region. Latin America's SaaS market hit [USD 21.4 billion in 2024](https://www.grandviewresearch.com/horizon/outlook/software-as-a-service-saas-market/latin-america) and is projected to reach USD 45.1 billion by 2030 - a 12.5% CAGR, roughly double the pace of North America's SaaS market. Brazil accounts for close to half. If you're a B2B software company expanding into the region, the product localization and go-to-market playbook gets plenty of attention. The [directory](/glossary/software-directory/) strategy gets almost none. And yet software directories are one of the best ways to reach local buyers in their native language. You just need to know which ones actually show up in LATAM. 68% of Brazilian software buyers prefer product training in Portuguese. 65% prefer the software UI in Portuguese. Spanish-speaking buyers show an even stronger preference for in-language sales and marketing materials, according to [Gartner Digital Markets research](https://www.gartner.com/en/digital-markets/insights/software-buyers-in-brazil). If these buyers are researching software in their language, and your listings only exist on English-language platforms, you're invisible during the comparison phase. AI tools scanning directories for product recommendations face the same gap - if your listing on a localized site is missing or outdated, it's not part of the dataset AI uses to answer a buyer's question in Spanish or Portuguese. We mapped out which global directories have localized LATAM reach, which local directories are worth your attention, and where the gaps are. (For the broader case on why [directory strategy works as a competitive moat](/blog/directory-strategy-competitive-moat/), see our earlier post.) ## The Global Directories: Who Shows Up in LATAM Every major [software directory](/glossary/software-directory/) claims global reach. The LATAM reality ranges from "fully localized country-specific sites" to "we have a regional filter somewhere." ### Capterra - Your Gateway to LATAM Markets Capterra - [acquired by G2](/blog/g2-capterra-acquisition-closed/) together with GetApp and Software Advice, and now part of what we call G2 Digital Markets - has the deepest LATAM reach of any global directory. But your listing isn't automatically there. Without translations set up, your product won't appear on the localized country sites. To show up, you need to [set up translations](https://digitalmarkets.gartner.com/help-center/getting-started/how-do-you-set-up-your-listings-translations) through the International Markets section in your G2 Digital Markets vendor dashboard. What is little known yet very important for local reach: Capterra has dedicated country domains for [Mexico](https://www.capterra.mx) (capterra.mx), [Brazil](https://www.capterra.com.br) (capterra.com.br in Portuguese), [Argentina](https://www.capterra.com.ar) (capterra.com.ar), [Chile](https://www.capterra.cl) (capterra.cl), and [Colombia](https://www.capterra.co) (capterra.co) - with a physical office in Mexico City. Each country site shows locally popular software [categories](/glossary/categories/) and the Brazilian site runs a Portuguese-language blog with regionally relevant content. Beyond those five country domains, Capterra's vendor localization settings support five additional LATAM markets: Costa Rica, Dominican Republic, Ecuador, Panama, and Peru. Vendors can customize descriptions for all nine Spanish-speaking LATAM locales plus Brazilian Portuguese - ten LATAM locales total. A killer feature of the G2 Digital Markets platform: you can tailor your product descriptions per language and per country, adjusting for local nuances including pricing in local currency. It is a killer feature quite literally, however, because localization is available per category and per locale - which creates an enormous number of content variations. If you list in 3 categories across 10 LATAM locales, that's 30 descriptions to write and maintain. And when you update your English description, the localized versions don't update automatically. Teams often forget to sync changes across languages, so localized descriptions drift out of date - and when they drift, LATAM buyers and AI systems scanning those listings get stale information. Keeping all ten Capterra locales in sync is the kind of upkeep you can [hand off to a managed submission service](/directories/submissions-and-management). [Capterra badges](/guides/how-to-earn-capterra-badges/) (Shortlist, Best Ease of Use, Best Value) are global rather than regional - there's no "Best in Latin America" badge. But if a buyer in São Paulo searches for CRM software on capterra.com.br, your listing shows up in Portuguese with local context. Capterra also offers PPC advertising with country-level targeting, with budgets starting from $500 per month - and it's available across the entire G2 Digital Markets family. Extremely useful for testing demand in a specific LATAM market before a broader push. We covered the [full vendor pricing model across Capterra and G2](/blog/g2-capterra-vendor-pricing-compared/) in a separate post. [G2 acquired Capterra, GetApp, and Software Advice](/blog/g2-acquires-capterra-gartner-digital-markets/) in early 2026, and the [deal has closed](/blog/g2-capterra-acquisition-closed/). In early April 2026, vendors began receiving emails from the newly renamed G2 Digital Markets (formerly Gartner Digital Markets) announcing the brand change - but no changes to vendor operations. Everything stays as it currently is for now, including the localized LATAM sites. ### GetApp and Software Advice - Same Infrastructure, Uneven Coverage GetApp, also acquired by G2 as part of the G2 Digital Markets deal, runs localized sites for [Mexico](https://www.getapp.com.mx) (getapp.com.mx) and [Brazil](https://www.getapp.com.br) (getapp.com.br), with additional localization support for Chile and Colombia in its vendor settings. Narrower than Capterra's ten LATAM locales, but still meaningful. Software Advice, the third property in the deal, has no LATAM localization at all. Its vendor localization settings only offer German, English, and French - zero Spanish or Portuguese options. If you've been waiting for Software Advice to expand into LATAM, this is the clearest signal that it wasn't on their roadmap. ### G2 - Regional Badges and Geo-Specific Reports G2, the largest B2B [review platform](/glossary/review-platform/), supports reviews and [badges](/glossary/badge/) in Spanish and Portuguese. You can earn regional recognition like "[High Performer - Latin America](/all-software-awards-and-badges/g2-grid-high-performer/)" or "[Leader - Latin America](/all-software-awards-and-badges/g2-grid-leader/)" on G2's quarterly [Grid](/glossary/grid/) reports - vendors like [Insightful](https://europeanbusinessmagazine.com/accessnewswire/insightful-awarded-36-top-badges-in-g2s-spring-2025-report/) and [UserGuiding](https://userguiding.com/blog/g2-fall-2024-userguiding-doubled-the-badges-once-again) have earned these badges in recent quarters. G2 generates Grid reports segmented by geography - including Latin America, the Americas, and specific sub-regions. Your product can appear in a "Latin America" Grid even if it doesn't rank on the global Grid, provided you have enough reviews from users in the region. G2 determines reviewer geography from profile data, so LATAM customers who leave reviews with their location help build your regional Grid standing. G2's localization push has been EMEA-first, though. When they announced expanded language support in January 2025, the focus was on their 29 million annual European visitors. Latin America wasn't mentioned as a priority region. There's no g2.com.mx or g2.com.br - localization happens through browser language detection on the main g2.com domain, so the discovery experience for a LATAM buyer browsing G2 is still English-first by default. If you're collecting reviews for [G2 badges](/guides/how-to-earn-g2-badges/), ask customers in LATAM to submit reviews in Spanish or Portuguese and make sure their profiles include their location. Those reviews feed your regional Grid reports. ### Gartner Peer Insights - Reviews in Spanish and Portuguese, No Localized Site Gartner Peer Insights accepts reviews in seven-plus languages including Spanish and Portuguese, and "Latin America" is available as a regional filter when browsing reviews. Gartner hosts conferences in Latin America and publishes LATAM-specific research. There's no localized Peer Insights site, though. The experience is the global gartner.com/reviews with language and region filters. For [vendors](/glossary/vendor/) targeting enterprise buyers who already engage with Gartner research, having Spanish and Portuguese reviews on Peer Insights adds credibility. Our [Gartner Peer Insights guide](/guides/how-gartner-peer-insights-actually-works/) covers the full mechanics. ### TrustRadius - Recently Expanded, Still US-Centric [TrustRadius](/guides/how-to-earn-trustradius-badges/) started accepting multi-language reviews in June 2025 - a recent change from their previously English-only policy. Spanish and Portuguese are now supported. The platform itself remains English-only with no localized sites. For companies with a strong US presence expanding south, TrustRadius reviews from LATAM customers add depth to an existing profile. As a standalone LATAM strategy, it's limited. ### SourceForge, PeerSpot - Minimal to None SourceForge has a "South America" regional directory page, but the platform is English-only with no regional badges or localized experience. [PeerSpot](/guides/how-to-earn-peerspot-badges/) has no LATAM coverage at all - English-only, no regional programs. Neither is worth prioritizing for LATAM specifically. ## The Local Directories Most Companies Haven't Found Yet Global directories cover LATAM unevenly. Local directories fill that gap - and some of them have serious scale. ### ComparaSoftware - The Pan-LATAM Directory [ComparaSoftware](https://www.comparasoftware.com) is the largest LATAM-native [software directory](/glossary/software-directory/) comparison platform. Founded in 2017 through Chile's StartUp Chile accelerator, it now covers 14 countries: Mexico, Argentina, Chile, Brazil, Peru, Colombia, Ecuador, Bolivia, Guatemala, Costa Rica, Uruguay, Paraguay, Venezuela, and Spain. The numbers: more than 5,000 programs listed across 500-plus categories, more than 5 million annual visits as of 2019, and over 67,000 businesses advised. Top traffic comes from Mexico and Colombia. The platform is free for buyers and for basic vendor registration. Revenue comes from qualified leads sent to software vendors - a pay-per-lead model similar to how Capterra operates. ComparaSoftware doesn't run a formal badge or awards program. Its value is reach into Spanish-speaking markets where global directories have limited presence - particularly in smaller LATAM countries like Ecuador, Bolivia, and Guatemala where Capterra and G2 have no localized sites. For companies selling into Spanish-speaking Latin America, claiming your ComparaSoftware profile is free and takes minutes. It's the lowest-friction way to appear where LATAM buyers are comparing software. ### B2B Stack - The Brazil Directory (With Awards That Mean Something) If Brazil is your target market, [B2B Stack](https://www.b2bstack.com.br) is the platform to know. Founded in 2018 in São Paulo, it's the largest Brazil-specific software review and comparison platform. The scale is worth paying attention to: more than 300,000 monthly buyers, 500-plus categories, and partnerships with Salesforce, Oracle, Google, and Qualtrics. Enterprise customers using the platform include KPMG, Whirlpool, Globo, and Rappi. B2B Stack runs the [B2B Awards](https://awards.b2bstack.com.br) - described as Latin America's largest software recognition event. Now in its eighth year, the 2025 edition honored 50 products across 10 categories at the Growth Conference in São Paulo. Winners are selected entirely on review volume: the top 5 products per category by total valid evaluations, with a minimum of 5 published reviews. The methodology is straightforward: get the most reviews in your category, you win. For a company entering Brazil and willing to invest in a local [review campaign](/glossary/review-campaign/), the path to recognition is transparent - no opaque [rating](/glossary/rating-and-ranking/) algorithms, no market-presence weighting. The platform is entirely in Portuguese. If you're serious about Brazil, your team needs someone who can manage a Portuguese-language listing and review presence. ### Evaluando Software - Niche but Established [Evaluando Software](https://www.evaluandosoftware.com), based in Argentina, is a smaller directory focused primarily on ERP and CRM software. It also offers consulting services - ERP implementation audits, digital transformation advisory - making it more of a hybrid consulting-directory than a pure comparison platform. For companies in the ERP or CRM space specifically targeting Argentina and surrounding markets, Evaluando is worth a profile. For everyone else, it's probably not where to start. ## FAQ ### Do I need to create separate Capterra profiles for each LATAM country? No. You manage one product listing across all Capterra country sites from a single vendor dashboard. You do need to set up translations for each locale through the International Markets section - your listing won't appear on localized sites until you do. But there's no separate profile to create or manage per country. ### Which directory should I start with for LATAM? Capterra - set up translations through the [International Markets section](https://digitalmarkets.gartner.com/help-center/getting-started/how-do-you-set-up-your-listings-translations) in your G2 Digital Markets vendor dashboard. You can target specific LATAM locales like [capterra.mx](https://www.capterra.mx) or [capterra.com.br](https://www.capterra.com.br) with tailored descriptions. After that, register on [ComparaSoftware](https://www.comparasoftware.com) (free, 14 countries) and [B2B Stack](https://www.b2bstack.com.br) if Brazil matters to you. ### Can I run paid ads targeting specific LATAM countries? Yes - Capterra's PPC program lets you target by country, with budgets [starting from $500 per month](/blog/g2-capterra-vendor-pricing-compared/). You can test demand in one market before committing to a broader regional push. ### Does G2 have LATAM-specific reports? Yes. G2 generates Grid reports segmented by geography, including "Latin America." You can earn regional badges even if you don't appear on the global Grid - the key is having enough reviews from LATAM-based users. See the G2 section above for how reviewer geography works. ### What about directories Blastra doesn't cover yet? Blastra currently manages listings on [major global directories](/directories/). We don't yet cover LATAM-specific directories like ComparaSoftware, B2B Stack, or Evaluando Software - but we're evaluating which regional directories to add. If LATAM directory coverage matters to your team, [reach out to us](/contact/) and let us know which markets you're targeting. That helps us prioritize. ### How do I keep localized Capterra descriptions up to date? This is a common trap. When you update your English description, the localized versions stay unchanged. Teams often update their main profile and forget to sync changes across languages. Add "update Capterra translations" to your process whenever you revise the English listing. A [SaaS listings management](/glossary/software-listings-management/) strategy that only covers English-language platforms misses the fastest-growing software region in the world. The directories that reach Latin America exist - most companies just haven't looked for them yet. ## Source Documentation We reviewed the following sources for this post. Where possible, we verified claims directly by visiting the localized directory sites. ### Primary Sources (Verified) | Source | Date | Notes | |--------|------|-------| | [Gartner Digital Markets: Software Buyers in Brazil](https://www.gartner.com/en/digital-markets/insights/software-buyers-in-brazil) | 2025 | Language preference data (68% Portuguese training, 65% Portuguese UI) | | [Gartner: Global B2B Buyer Trends: Latin America](https://www.gartner.com/en/digital-markets/insights/unlock-global-b2b-buyer-trends-latin-america) | 2025 | Spanish-language preference data | | [G2: Localized Experiences for European Software Vendors](https://company.g2.com/news/new-localized-experiences-for-european-software-vendors) | Jan 2025 | EMEA-first localization push, 29M European visitors | | [G2: Regional Grid Reports](https://learn.g2.com/regional-grid-reports) | Ongoing | Latin America regional badges and reports | | [Insightful: G2 Spring 2025 Badges](https://europeanbusinessmagazine.com/accessnewswire/insightful-awarded-36-top-badges-in-g2s-spring-2025-report/) | Spring 2025 | Earned "Leader - Latin America" badge | | [UserGuiding: G2 Fall 2024 Badges](https://userguiding.com/blog/g2-fall-2024-userguiding-doubled-the-badges-once-again) | Fall 2024 | Earned "Small-Business Latin America Regional" badge | | [G2 Acquires Capterra, Software Advice, and GetApp](https://company.g2.com/news/g2-acquires-capterra-software-advice-getapp) | Jan 2026 | Acquisition announcement | | [GDM Help Center: Setting Up Translations](https://digitalmarkets.gartner.com/help-center/getting-started/how-do-you-set-up-your-listings-translations) | Ongoing | Vendor must actively set up translations per locale; not automatic | | [TrustRadius: Multi-Language Reviews](https://solutions.trustradius.com/vendor-blog/expand-your-global-reach-with-trustradius-now-supporting-multi-language-reviews/) | Jun 2025 | Spanish and Portuguese review support | | [B2B Awards Methodology](https://awards.b2bstack.com.br) | 2025 | Review volume criteria, 50 products, 10 categories | | [ComparaSoftware / Semrush Case Study](https://www.semrush.com/company/stories/comparasoftware/) | 2019 | Traffic growth, SEO strategy | ### Localized Sites (Directly Verified) | Site | Language | Status | |------|----------|--------| | [capterra.mx](https://www.capterra.mx) | Mexican Spanish | Active, localized | | [capterra.com.br](https://www.capterra.com.br) | Brazilian Portuguese | Active, localized, local blog | | [capterra.com.ar](https://www.capterra.com.ar) | Argentine Spanish | Active, localized | | [capterra.cl](https://www.capterra.cl) | Chilean Spanish | Active, localized | | [capterra.co](https://www.capterra.co) | Colombian Spanish | Active, localized | | [getapp.com.mx](https://www.getapp.com.mx) | Mexican Spanish | Active, localized | | [getapp.com.br](https://www.getapp.com.br) | Brazilian Portuguese | Active, localized | | [comparasoftware.com](https://www.comparasoftware.com) | Spanish (+ Portuguese) | Active, 14 countries | | [b2bstack.com.br](https://www.b2bstack.com.br) | Portuguese | Active, Brazil-focused | | [evaluandosoftware.com](https://www.evaluandosoftware.com) | Spanish | Active, Argentina-focused | ### Vendor Localization Settings (Verified via GDM Vendor Dashboard, April 2026) | Platform | LATAM Locales Supported | |----------|------------------------| | Capterra | Spanish (Argentina, Chile, Colombia, Costa Rica, Dominican Republic, Ecuador, Mexico, Panama, Peru), Portuguese (Brazil) - 10 LATAM locales | | GetApp | Spanish (Chile, Colombia, Mexico), Portuguese (Brazil) - 4 LATAM locales | | Software Advice | None (only German, English, French available) | ### Market Size Sources | Source | Estimate | Notes | |--------|----------|-------| | [Grand View Research](https://www.grandviewresearch.com/horizon/outlook/software-as-a-service-saas-market/latin-america) | $21.4B (2024), 12.5% CAGR | Projects $45.1B by 2030. Used for opening market size claim | | [IMARC Group](https://www.imarcgroup.com/latin-america-software-as-a-service-market) | $22.02B (2025), 14.2% CAGR | Projects $72.73B by 2034 | | [Statista: SaaS LATAM Forecast](https://www.statista.com/outlook/tmo/public-cloud/software-as-a-service/latam) | $10.91B (2025) | Narrower definition, lower estimate | Brazil's share (~45%) is consistent across sources. --- # Software Directories Where You Don't Need Reviews URL: https://blastra.io/blog/software-directories-without-reviews/ Description: Some software directories don't revolve around reviews. AI doesn't really care about the difference. Here are 10 where reviews aren't the game. If you've ever looked at a competitor's profile on a software review site and counted their reviews - 200, 400, a thousand - you know the feeling. They have social proof. You have a profile with four reviews and a logo that's slightly cropped. The instinct is to catch up. Run a [review campaign](/glossary/review-campaign/). Ask every customer. Offer incentives. Get the number up. And there are good reasons to do that - reviews feed into [badge programs](/blog/software-badges-decoded-ai-trust-signals/) on platforms like G2 and Capterra (the two largest B2B software review sites), they influence how human buyers perceive you when they're browsing those platforms, and collecting them is a discipline worth building. There's a question worth asking first: does the number of reviews affect whether AI recommends your product? ## The Data Says No G2 - the largest B2B software review platform, with over 2 million reviews - [published an analysis in early 2026](https://learn.g2.com/do-more-g2-reviews-mean-more-ai-visibility) of 30,000 AI citations across ChatGPT, Perplexity, and Google AI Overviews. Their finding: at the category level, directories with 10% more reviews get roughly 2% more AI citations. G2 presents this as meaningful - and at massive scale, across hundreds of categories, small percentages do compound. Look at what's underneath though: review volume explains less than 2% of the variance in AI citation patterns (R-squared of 0.009). The other 98% comes from brand authority, content quality, organic search visibility, and cross-web mentions. A [separate study by Quoleady](https://www.quoleady.com/llmo-research/), a content marketing consultancy that researches how LLMs rank products, tested individual products. They found the correlation between review count and ChatGPT ranking was -0.21 for Capterra and -0.16 for G2. Weak, near-zero, and slightly negative. A productivity tool with under 100 reviews ranked above a competitor with more than 4,000. What did correlate: having a profile at all. One hundred percent of tools ChatGPT recommended had Capterra profiles. Ninety-nine percent had G2 profiles. Presence on the platform was the threshold. Review count above that had almost no measurable effect. We're rooting for AI to eventually read [badges as trust signals](/blog/software-badges-decoded-ai-trust-signals/) - a [G2 Leader badge](/all-software-awards-and-badges/g2-grid-leader/) backed by hundreds of verified reviews should carry more weight than an anonymous Reddit thread. That's not what we currently see in the data. ## Presence Is the Threshold, Volume Is Noise Having a profile on the platforms AI reads from gets you into the dataset. Whether that profile has 12 reviews or 1,200 barely changes how AI treats it. The category leadership game - collecting reviews to earn badges, climb G2 Grid quadrants, win Capterra Shortlist placements - is a legitimate strategy, and we've written [guides for every major badge program](/all-software-awards-and-badges/). Fresh reviews feed into those programs with specific thresholds, and badges matter for human buyers who see them on your profile. On Trustpilot specifically, volume is the game. [TeamViewer manages over 120,000 reviews there](/blog/from-the-trenches-alvaro-padilla-teamviewer/). Trustpilot's domain authority makes it the [fifth most cited domain on ChatGPT](/blog/trustpilot-ai-search-visibility/). That's platform-level authority driving citations though - individual vendors don't need six figures of reviews to show up. If your goal is to show up when AI recommends software in your category, the review count race matters far less than simply being present on the platforms AI reads from. And some of those platforms have no reviews at all. ## 10 Directories Where Reviews Aren't the Game Most people think of review sites when they hear "[software directory](/glossary/software-directory/)." A whole category of directories exists where reviews aren't part of the model. No review section at all, or just a place where people rarely leave reviews. No empty profile making you look like nobody uses your product and no banners warning that this product hasn't been reviewed in months. You get [listed](/glossary/listing-or-profile/) with accurate, up-to-date information, your profile looks complete from day one, and the traffic is real. Here are 10 directories where reviews are either absent or not a meaningful part of how your product gets discovered. Traffic figures are approximate monthly visits (SimilarWeb data, early 2026). | Directory | Monthly Visits | What It Is | |---|---|---| | AlternativeTo | 2.5M | Software alternatives discovery | | F6S Software | 1.3M | Product section of F6S, the platform for funding, jobs, deals | | SaaSHub | 500K | SaaS alternatives and comparisons | | LibHunt | 400K | Developer tools aggregator | | Crozdesk | 240K | Software comparison and matching | | Startup Stash | 150K | Curated tools directory | | Tekpon | 140K | SaaS discovery platform | | Dang! | 90K | AI tools directory | | SaaS Genius | 70K | SaaS comparison directory | | Tiny Startups | 20K | Micro-startup directory | Combined: over 5 million monthly visits across directories that list your product without requiring you to build a review portfolio first. These are from our [full directory database](/directories/), which tracks 51+ directories filterable by review requirements, traffic, and category. AlternativeTo alone draws 2.5 million monthly visitors - comparable to Capterra. F6S reaches 1.3 million. These aren't obscure corners of the internet. They're where people go when they're researching alternatives, comparing tools, or exploring what's out there. We wrote previously that [every listing you don't manage is a liability](/blog/every-listing-you-dont-manage-is-a-liability/). The flip side is also true: every directory where you could be listed and aren't is visibility you're leaving on the table. These 10 directories let you claim that visibility without entering the review collection game — and Blastra can [submit your product to all of them](/directories/submissions-and-management) in one pass. If you're early-stage and your competitor has 400 reviews on G2 while you have 12 - the AI visibility gap between you is narrower than it looks. And the directories above don't care about that gap at all. ## FAQ ### Do I need to collect reviews to show up in AI search results? Presence on review platforms matters more than review volume. A Quoleady study found the correlation between review count and ChatGPT ranking was near zero and slightly negative for both G2 (-0.16) and Capterra (-0.21). In their data, 100% of tools ChatGPT recommended had Capterra profiles and 99% had G2 profiles — but review count above that threshold barely moved the needle. A productivity tool with under 100 reviews ranked above a competitor with more than 4,000. ### Which software directories don't require reviews? Ten notable ones: AlternativeTo (2.5M monthly visits), F6S Software (1.3M), SaaSHub (500K), LibHunt (400K), Crozdesk (240K), Startup Stash (150K), Tekpon (140K), Dang! (90K), SaaS Genius (70K), and Tiny Startups (20K). Combined, they reach over five million monthly visits without requiring a review portfolio. Our [full directory database](/directories/) tracks 51+ directories filterable by review requirements and traffic. ### Does G2 review volume actually affect how often AI recommends my product? Marginally. G2's own 2026 analysis of 30,000 AI citations found directories with 10% more reviews get roughly 2% more AI citations at the category level — but review volume explains less than 2% of the variance in AI citation patterns (R-squared of 0.009). The other 98% comes from brand authority, content quality, organic search visibility, and cross-web mentions. ### What's the highest-traffic software directory that doesn't focus on reviews? AlternativeTo, at approximately 2.5 million monthly visits — comparable to Capterra's traffic. It's built around software alternatives discovery rather than review accumulation, so your profile can look complete from day one without requiring a review portfolio. ### Is AlternativeTo a real traffic source for SaaS companies? Yes. Traffic around 2.5M monthly visits puts it in the same range as major review-based directories. People use AlternativeTo specifically when researching alternatives to a tool they already know — which is high-intent discovery for SaaS vendors. ### Do directories without reviews still matter for AI search? Yes — AI systems cite directories because they offer structured, categorized, verified data about software. Reviews are part of the signal on G2 and Capterra, but presence in structured directory data is a separate signal. AlternativeTo, F6S, SaaSHub, and similar platforms contribute to the directory layer AI systems read from, without requiring review collection as a prerequisite. ### Should I skip review-based directories entirely? No. Review-based platforms still matter for badges, category rankings, human buyer trust, and platform-specific visibility. [G2 badges](/guides/how-to-earn-g2-badges/), [Capterra Shortlist](/guides/how-to-earn-capterra-badges/), and [SourceForge Leader awards](/guides/how-to-earn-sourceforge-badges/) have clear value. The point isn't to avoid review-based directories — it's to recognize that directories without reviews also belong in your [visibility posture](/glossary/visibility-posture/) instead of being deprioritized because they don't fit the "collect reviews" mental model. --- # Every SaaS Listing You Don't Manage Is a Liability URL: https://blastra.io/blog/every-listing-you-dont-manage-is-a-liability/ Description: Popular advice says submit your SaaS to every directory. But unmanaged listings become liabilities - stale profiles, lost access, and AI citing outdated info about your product. Search "SaaS directories to submit to" and you'll find lists of 100, 150, 300 places to put your product. Services will do the submissions for you. The pitch is always the same: more directories, more backlinks, more visibility. Submit once, benefit forever. That last part is the problem. The listings don't go away. You do. You rebrand. You pivot. You change your pricing. The person who submitted your product to 150 directories in 2023 left the company in 2024. The directories, the logins, the profiles - all orphaned. And no one is checking what those profiles say about your product right now. Those listings are still there. They still describe the product you used to sell, at the price you used to charge, with screenshots of the UI you replaced last year. And they're still being read - by buyers browsing directories and by AI systems deciding whether to recommend you. The worst part: when AI decides you're not a fit for someone's query based on stale data, you'll never know it happened. ## The Advice That Never Gets a Second Look There's an entire industry built around startup directory submissions. Services promise to submit your product to 100, 200, even 300+ directories. Listicles rank well by listing every directory they can find, mixing launch platforms like Product Hunt, communities like Indie Hackers, and persistent product directories like G2 and Capterra as if they're all the same thing. They aren't. A Product Hunt launch is an event. You show up, you get attention, the page becomes a historical record of your launch day. An Indie Hackers profile lives as long as you participate in the community. These are time-bound or participation-bound - they don't pretend to represent your product to buyers indefinitely. [Software directories](/glossary/software-directory/) are different. G2, Capterra, SourceForge, Trustpilot, TrustRadius - these are persistent profiles that represent your product to buyers and AI systems for as long as the listing exists. They show your company name, your description, your pricing, your screenshots, and your reviews. They are designed to be the definitive representation of your product to someone making a purchasing decision. And once you're listed, most directories don't make it easy to leave. Some don't let you leave at all. ## What Happens After Submission Day The submission services are honest about their scope: they submit. That's the job. What happens after is your problem. **You rebrand.** Your company name changes. Your product name changes. Twelve of the directories you were submitted to still show the old name. A buyer searching for your new brand finds a profile under the old name with descriptions that no longer match what you sell. That's the visible problem. The invisible one: an AI system categorizing your product based on the old description quietly excludes you from queries where you'd be a perfect fit under the new positioning. **You pivot.** You started as a project management tool and evolved into an enterprise workflow platform. Your Capterra profile still says "project management tool for small teams" because no one updated it. [Who decides what your software is](/blog/who-decides-what-your-software-is/)? If you're not actively managing your directory presence, the answer is: whoever wrote the description two years ago. **The person who handled it leaves.** This happens constantly. Directory profiles are typically set up by a marketing coordinator, a growth intern, or a founder doing everything themselves. When they leave, they take the institutional knowledge - and often the login credentials - with them. [JumpCloud reported](https://jumpcloud.com/blog/former-employee-accounts-in-your-saas-stack) that orphaned SaaS accounts are one of the most common offboarding gaps. Directory profiles aren't even on the offboarding checklist. This isn't limited to small directories. We've heard from someone at AWS Marketplace that many companies fail to keep their listings updated even there - a platform where outdated information directly costs them sales opportunities. If companies neglect AWS Marketplace, imagine what happens on the 47th directory a submission service signed them up for. **Reviews accumulate without your knowledge.** On [open platforms like Trustpilot](/blog/trustpilot-ai-search-visibility/), anyone can leave a review whether you've claimed your profile or not. Webflow - one of the most frequently recommended tools when you ask AI for website builders - has two unclaimed Trustpilot profiles, one with a 2.2 rating. [How Trustpilot recognition actually works](/guides/how-trustpilot-recognition-works/) — and what it takes to build a score that holds — is different from every other B2B review platform. We reached out to Webflow's CMO [Dave Steer](https://www.linkedin.com/in/davesteer/) - who frequently talks about trust as a marketing foundation - to hear his thoughts on the matter. He didn't respond. For now, we can assume Webflow either isn't being hurt by this or doesn't know it's happening. Trustpilot is the [fifth most cited domain on ChatGPT](https://promptwatch.com/data/top-chatgpt-citations-by-domain). On every platform, review response signals engagement. Silence signals abandonment. **Pricing changes don't propagate.** You raised your prices, introduced a new tier, or dropped a feature. The directories still show the old pricing page screenshot. A human buyer comparing you against a competitor might figure out the pricing is stale. An AI system building a [shortlist](/glossary/shortlist/) for "best project management tools under $50/month" won't bother to check - it'll use the data it has. ## What AI Does with Stale Listings AI systems use directory data to build their understanding of software products. [Quoleady's research](https://www.quoleady.com/llmo-research/) found that 100% of tools mentioned in ChatGPT answers had Capterra reviews and 99% had G2 reviews. Directory presence functions as an inclusion signal - if you're not listed, you're likely excluded from AI recommendations entirely. [G2's own analysis of 30,000 AI citations](https://learn.g2.com/do-more-g2-reviews-mean-more-ai-visibility) showed that G2 accounts for 22.4% of all review-site citations across ChatGPT, Perplexity, and Google AI Overviews. Every scenario above has a visible version - the confused buyer, the wrong name, the bad review. Those are problems you can find and fix if you look. The deeper problem is the one you can't see: AI deciding, based on the data it has, that your product isn't relevant to a particular buyer's context. Not wrong. Not broken. Just quietly excluded. A buyer asks ChatGPT for "enterprise workflow automation tools with SOC 2 compliance." Your product has both. But your directory profiles don't mention compliance because it wasn't a feature when the listing was created. AI doesn't flag a mismatch. It just recommends something else. You lose a deal you never knew existed. [Pages that go more than three months without an update are over 3x more likely to lose AI visibility](https://seranking.com/blog/ai-statistics/) compared with recently refreshed pages. Content updated within the last 60 days appears roughly twice as frequently in AI-generated answers. The data is clear on what freshness does. What we can't measure is how many times stale directory data has already shaped an AI's understanding of a product in ways the company will never trace back to the source. ## The Maintenance Debt Behind Every Submission "Backlinks and discovery listings stay up indefinitely," one submission service writes, presenting permanence as a feature. Permanence is a feature until something about your company changes. Consider the math. Any of the changes above - a rebrand, a pivot, a pricing overhaul - means updating every directory you're listed on. Each has its own login, its own admin interface, its own rules about what you can and can't edit. Some let you change your company name. Some require you to create an entirely new profile and prove to support that you're the same company. A study [cited by SureFire Local](https://www.surefirelocal.com/blog/why-your-business-directory-listing-info-changes-and-what-you-can-do-about-it/) found that 73% of business directory listings contain at least one piece of outdated information. That's in the local business world, where companies like Yext built their entire business around solving this problem. In the software directory world, the number is almost certainly higher. ## What Managed SaaS Listings Management Looks Like The companies that treat [directory presence as a strategic channel](/blog/directory-strategy-competitive-moat/) do it deliberately. TeamViewer's Senior Customer Experience Manager Alvaro Padilla [manages their presence across 8+ review platforms](/blog/from-the-trenches-alvaro-padilla-teamviewer/). That's a dedicated role at an enterprise company - someone whose job includes knowing which platforms they're on, what those profiles say, and whether reviews are being addressed. Most companies don't have an Alvaro. Most companies don't even know how many directories they're listed on. A managed listing represents your current product, responds to reviews, and provides accurate information to buyers and AI systems. An abandoned listing represents a product that no longer exists, ignores reviews, and feeds outdated information to everything that reads it. [SaaS listings management](/blog/what-is-saas-listings-management/) exists as a function because this gap is real. We built Blastra because [software directories](/blog/what-are-software-directories/) are going through the same transition that local businesses went through a decade ago. Everything that comes after the initial submission - rebrands, pricing changes, new features, review responses, screenshot updates, category adjustments - is what makes [managing your listings](/glossary/software-listings-management/) an ongoing function. ## Before You Submit to 100 Directories If you're early-stage and reading the "submit everywhere" advice: **Distinguish between listing types.** Launch platforms and communities are fine - they're events or participation spaces. Persistent [software directories](/glossary/software-directory/) create ongoing obligations. Know which is which. **Start with the directories that matter.** G2 and Capterra are where most [AI citations](/blog/b2b-software-directories-ai-seo-strategy/) come from. Trustpilot matters more than most B2B companies realize. A handful of well-maintained profiles on platforms that buyers and AI use is worth more than 100 profiles you'll never touch again. If you'd rather not do it yourself, Blastra can [submit and maintain the directories that fit your product](/directories/submissions-and-management). **Know what you're signing up for.** Every directory profile is a representation of your product that you'll need to update when things change. If you're pre-product-market fit and expect to pivot, submitting to 300 directories is creating 300 future update obligations. **Assess your current [visibility posture](/blog/introducing-visibility-posture-alpha/).** Before adding more listings, find out what your existing ones say. You might already have profiles you didn't create, reviews you haven't seen, and descriptions that no longer match what you sell. The opposite failure mode also exists - submitting to nothing and assuming content plus outreach will compound. [Ami Burstin, a fractional CMO, wrote about watching that play out](/blog/from-the-trenches-ami-burstin/): warm-network deals closed, cold pipelines stalled, and the directory half of the proof was simply absent. [AI search visibility](/blog/b2b-software-directories-ai-seo-strategy/) determines whether buyers discover your product through AI recommendations. Every listing you create and walk away from is working against that goal. Every listing you manage is working for it. --- # G2 Spring 2026 Reports: What the Numbers Mean for Vendors URL: https://blastra.io/blog/g2-spring-2026-reports/ Description: G2 published 27,019 reports this quarter. We walk you through what changed, what it means, and what to do next. G2 released its [Spring 2026 Reports](https://company.g2.com/news/g2-spring-2026-reports) on March 17, 2026 — 27,019 reports across 1,351 software categories. This post walks you through what changed, what it means, and what to do next. *Looking for the latest quarter? G2 has since published its [Summer 2026 Reports](/blog/g2-summer-2026-reports/) — 27,340 reports released May 26, 2026.* ## What is a G2 report? If you've heard of Gartner's Magic Quadrant, G2 reports are the crowdsourced version. Gartner has analysts spend months evaluating vendors and plotting them on a four-quadrant chart. G2 does the same thing algorithmically, based on user reviews instead of analyst opinion, for free instead of tens of thousands of dollars, and at much larger scale. Every quarter, G2 takes a snapshot of review data and generates ranking reports for each software category. The main report is the Grid — a chart plotting products on Satisfaction (review scores) versus Market Presence (company size, review volume, web traffic). Products land in one of four quadrants: Leaders, High Performers, Contenders, or Niche. If your product lands in a quadrant, you earn a badge — those images companies post on LinkedIn every quarter. Grid badges require a [paid G2 profile](https://blastra.io/guides/how-to-earn-g2-badges) to display on your website, but the placement itself is earned through reviews. The badge is the main practical output: third-party validation for sales decks, websites, and marketing. G2 doesn't publish one report per category. For each category, G2 generates the main Grid, plus Momentum reports, Index reports (usability, implementation, relationship, results), and slices all of these by company size and region. One category can produce a dozen or more reports. "27,019 reports" is roughly 1,351 categories multiplied across all these variants. For a single-product SaaS company in 2-5 categories, appearing in 10-40 reports is normal. ## What this quarter's data tells you **The Leader badge is getting scarcer.** G2 says only 3% of products earned Leader status this quarter, down from 4% in their [Spring 2025 announcement](https://company.g2.com/news/g2-spring-2025-reports). The denominator is important here — G2 has over 150,000 products listed, most of them dormant profiles with few or no reviews. The 3% is calculated against that entire pool. G2 doesn't publish what percentage of Grid-eligible products (those with 10+ reviews in a category) earn Leader, which would be the more useful number. What this does tell you: the total number of products on G2 is growing faster than the number earning Leader badges. If you're targeting a Leader badge, the categories you choose matter — a less crowded category gives you better odds. **Five of the twelve fastest-growing categories are AI.** Agentic AI added 30 products this quarter. AI Agents added 26. AI for Business Operations added 15. AI Customer Support Agents added 12. And [Answer Engine Optimization (AEO)](/glossary/aeo/) added 12. AEO is worth a closer look. This category [launched in March 2025](https://company.g2.com/news/inside-the-2000-percent-growth-of-the-aeo-software-category-on-g2) with 7 products and grew to over 150 by January 2026 — over 2,000% in under a year. AEO tools help companies track whether AI systems like ChatGPT and Perplexity are recommending their product. These tools exist because [AI is becoming a channel for software discovery](/blog/b2b-software-directories-ai-seo-strategy/), and companies need to know whether they're being recommended. Profound — the only Leader on G2's first-ever AEO Grid in Winter 2026 — went from launch to $1B unicorn in under two years on the strength of this positioning; we walk through the playbook in [our Profound case study](/blog/profound-category-leadership-playbook/). G2 also created a Large Language Models category this quarter — meaning G2 now ranks the same AI systems that cite G2 data when generating software recommendations. According to a [Semrush study](https://www.semrush.com/blog/most-cited-domains-ai/) G2 references, G2 is among the top 20 most-cited domains in LLMs. This matters even if your product has nothing to do with AI. AI systems pull from review platforms when buyers ask "what's the best tool for X." Your G2 reviews and directory presence are part of what they read. We wrote about [how that works](/blog/b2b-software-directories-ai-seo-strategy/) and what you can do about it. For the inverse problem — an incumbent trying to reposition into AI but blocked by the G2 categories on the shelf — see [our teardown of Miro's category mismatch](/blog/miro-directory-strategy-teardown/). **Sixteen new categories became report-ready.** Among them: Application Security Posture Management, Data Security Posture Management, Secure Enterprise Browser, Semantic Layer Tools, and Large Language Models. When a category first becomes report-ready, few products have badges — earning a placement is meaningfully easier than in a mature category with hundreds of competitors. **G2 now owns Capterra, Software Advice, and GetApp.** These reports were published after G2 [closed its acquisition](/blog/g2-capterra-acquisition-closed/) in early February 2026 of Capterra, Software Advice, and GetApp from Gartner for approximately $110 million. G2 has promised a unified taxonomy across all four platforms, but there's no public timeline for when that happens or what changes it brings to reports, badges, or category structure. The acquisition isn't mentioned in the Spring reports. For now, everything works the same way it did before the deal — but the landscape is in motion. ## Making sense of the leaderboard tables G2's announcement includes several ranking tables. Here's what they measure. **"Companies with most reports"** — Microsoft (5,178), Zoho (4,429), Salesforce (3,993). This ranks product portfolio breadth. These companies have dozens or hundreds of products, each generating reports. Zoho's 32% jump means more Zoho products qualified in more categories — a [category-spread strategy](/guides/how-g2-ai-categories-work/). If you're a single-product company, this table measures a different game. **"Products with most #1 rankings"** — Google Workspace (407), Canva (328), Slack (303). Dominated by widely adopted products with large Market Presence scores. G2's Market Presence axis weighs employee count and revenue, which gives larger companies a structural advantage for #1 rankings. **"Top products by G2 Score"** — Visual Studio Code (98.52), Microsoft SharePoint (98.29). Looks different from the #1 rankings because it's calculated differently. Your category-specific Grid placement matters more than your global G2 Score. **What matters for most vendors:** Your placement in the Grid quadrant for your specific categories. That determines your badge. A small company with strong reviews lands as a [High Performer](/all-software-awards-and-badges/g2-grid-high-performer/) — high satisfaction, lower market presence — which is a meaningful and realistic target. ## What to do next The starting point is knowing where you stand. Where are you listed? What categories are you in? Do you have reviews? Are there [badges you've earned](/blog/software-badges-decoded-ai-trust-signals/) and don't know about? [Blastra checks this for you.](https://blastra.io) When you sign up, we scan your current directory presence across G2, Capterra, SourceForge, and other platforms — and show you what's there, what's missing, and where you should be. A security team we recently onboarded discovered a SourceForge Leader badge they didn't know about and listings being managed by people who'd since left the company. **If you want to earn a G2 badge:** You need at least [10 reviews in a category](/guides/how-to-earn-g2-badges/) to appear on the Grid. Summer 2026 review collection closed April 28; the next actionable deadline is July 28, 2026 for Fall reports. Focus on 2-3 categories — especially [newer ones](/guides/how-g2-ai-categories-work/) with less competition, or consider [creating a category](/guides/how-to-create-a-new-software-category/) if none fits your product. Aim for High Performer. **If you're already earning badges:** Consider diversifying across directories. G2 owning Capterra means more concentration in one ecosystem. Presence on [TrustRadius](/guides/how-to-earn-trustradius-badges/), [PeerSpot](/guides/how-to-earn-peerspot-badges/), [SourceForge](/guides/how-to-earn-sourceforge-badges/), and others is a hedge — and AI systems cite multiple sources when recommending software. **If managing all of this sounds tedious:** It is. That's [what we do](https://blastra.io). Or you can try navigating the Grid yourself. Dodge bad reviews, land in the right quadrant, earn the badge — all in 90 seconds. In real life, [we handle that part](https://blastra.io). --- *This post references G2's Spring 2026 Reports published March 17, 2026, and G2's publicly available [scoring methodology documentation](https://documentation.g2.com/docs/research-scoring-methodologies). Numbers reflect the data as published by G2 and may change as reports are updated.* ## Related - [How to Earn G2 Badges in 2026](/guides/how-to-earn-g2-badges/) — Badge requirements, paid vs. free profiles, and review thresholds - [G2 AI Categories: The Complete List](/guides/how-g2-ai-categories-work/) — 40+ new AI categories, how placement works, and how to get into the right one - [G2 + Capterra Acquisition: What It Means for Vendors](/blog/g2-capterra-acquisition-vendor-strategy/) — Strategic analysis of the consolidation - [How to Get Ranked on G2](/guides/how-to-get-ranked-on-g2/) — G2's scoring algorithm, Grid placement mechanics, and review thresholds - [How G2 Is Building G2.ai Into an Expertise Marketplace](/blog/what-is-g2-ai/) — G2's open-beta bet on AI workflows, beyond the Grid and badges - [25 Software Badges Decoded](/blog/software-badges-decoded-ai-trust-signals/) — Requirements for badges across G2, Capterra, SourceForge, TrustRadius, PeerSpot, and Gartner --- # Trustpilot and AI Search: Why ChatGPT Cites It for B2B SaaS URL: https://blastra.io/blog/trustpilot-ai-search-visibility/ Description: Trustpilot is a top-cited source on ChatGPT for product research. Here's why B2B SaaS is missing out — and what TeamViewer and Pipedrive get right. When someone asks ChatGPT about a product or service, the answer frequently references Trustpilot reviews as a source. According to [Promptwatch](https://promptwatch.com/data/top-chatgpt-citations-by-domain), which tracks domain citations across ChatGPT responses, Trustpilot is the fifth most cited domain globally on ChatGPT — sitting above most software-specific review sites in AI's source hierarchy. Trustpilot is the world's largest open review platform - over 300 million reviews, around 90 million monthly visitors, covering businesses across every industry from restaurants to enterprise software. For a long time, B2B SaaS companies treated that consumer breadth as a reason to skip it. The growth has shown up in Trustpilot's [own numbers](https://www.trustpilot.com/company/investor-relations). Click-throughs from AI search tools grew roughly fifteen-fold year-on-year. In their March 2026 full-year 2025 results, revenue hit $261 million, EBITDA nearly doubled, and the stock surged more than 20% the same day. Trustpilot's sales teams have started leading enterprise conversations with Answer Engine Optimization. Their AEO webinars attracted ten times more attendees than anything the company had run before. The CEO told investors that large businesses care deeply about how they appear in AI search, and that this was one of the key drivers of enterprise growth in 2025. This is a company approaching a billion-dollar market cap, telling Wall Street that AI search visibility is now a primary revenue driver. ## A Review Site Most B2B SaaS Companies Skip If you work in B2B SaaS, you've probably filed Trustpilot under "consumer." Restaurants, airlines, e-commerce. And for years, that was a reasonable assessment. Meanwhile, some B2B software companies figured out something different. [Pipedrive](https://www.trustpilot.com/review/pipedrive.com) has accumulated thousands of Trustpilot reviews with a 4.3 star rating. They respond to nine out of ten negative reviews, according to Trustpilot's own reporting. This is a CRM company, selling to sales teams, running a serious review operation on a platform their competitors haven't bothered with. [TeamViewer](https://www.trustpilot.com/review/www.teamviewer.com) went further. Over 120,000 Trustpilot reviews. Their Senior Customer Experience Manager Alvaro Padilla [wrote for us about how TeamViewer manages awards across 8+ review platforms](/blog/from-the-trenches-alvaro-padilla-teamviewer/), and his take on Trustpilot is worth reading: "It touches the human side, builds credibility, and even more so when you show up and reply to ratings. The sheer scale of reviews gives it weight that other platforms don't have." Both of these are B2B software companies. Both treat Trustpilot like a strategic channel. Most of their peers don't even have a claimed profile. ## AI Is Learning to Research the Way a Good Buyer Does Think about how a careful software buyer evaluates a product. They don't stop at the vendor's website - that's self-reported, and they know it. They don't rely on a Reddit thread - that's anonymous, and nobody is responsible for whether it's accurate or current. They look for third-party sources: structured reviews on platforms that verify reviewer identity, moderate for fakes, and put their own reputation behind the data quality. AI systems are following the same logic. Trustpilot's CEO made the point on the earnings call: private customer experience data - internal NPS scores, CSAT surveys - is invisible to large language models. That data sits inside a company's dashboard and does nothing for how AI recommends software to the next buyer. Public reviews on third-party platforms are readable, structured, and timestamped. They come with an organization behind them that says "we moderate this" - and can point to the numbers to prove it. We've [written about this dynamic before](/blog/b2b-software-directories-ai-seo-strategy/): AI systems look for [consensus across independent third-party sources](/blog/ai-search-consensus-pattern-saas-recommendations/), and software badges and reviews on those platforms carry a different trust signal than anonymous forum posts or a vendor's own marketing. A G2 review requires LinkedIn verification. A Capterra review goes through moderation. A Trustpilot review sits on a platform that removed nearly eight million fakes last year, nine out of ten caught by automated detection, with a dedicated trust event in May 2025 to walk investors through their methods. These aren't perfect systems - but they're systems with someone accountable. Reddit and a vendor's homepage have no equivalent. Trustpilot sees this and is positioning for it. Users wrote 62 million reviews in 2025 - more than in the first twelve years of the platform combined. The growth is partly circular: businesses invest more in Trustpilot reviews because those reviews influence how they appear in AI search, which generates more reviews, which makes the platform more useful to AI systems. ## "But Can You Trust the Reviews?" Not everyone is convinced. Ben Goodey, founder of content and SEO consultancy Spicy Margarita, [raised the objection on LinkedIn](https://www.linkedin.com/posts/benjamingoodey_trustpilot-is-the-5th-most-cited-domain-by-activity-7439973335343464448) the same day the results came out: "Anyone who has been around the block a few times will have fairly low trust in Trustpilot and any online review site." He pointed to fake review problems, response bias (people leave reviews when delighted or outraged, skewing to extremes), and what he called "modern day extortion" claims - the idea that negative reviews pressure businesses into paid subscriptions. His conclusion: Trustpilot being the fifth most cited source on ChatGPT shows "what's wrong with AI. It's only as good as its sources. And a lot of those sources kinda...suck." He's raising a real concern — reviews are messy, response bias is real, and the moderation problem is enormous and ongoing. But Ben's argument is about what AI *should* do, not what it *actually does*. He may be right that AI should be more skeptical of review data. What AI *actually does* is cite Trustpilot as a source more than almost any other domain on the internet. And the question for a B2B SaaS company is practical: is your product represented in the dataset that AI systems are already using to make recommendations, or have you ceded that ground entirely? ## Why Trustpilot Is Worth a Closer Look for B2B SaaS If you already manage your reviews on G2 or Capterra, Trustpilot offers something different. **Lower friction for reviewers.** G2's review process takes 15+ minutes with LinkedIn verification, screenshots, and structured ratings. Trustpilot lets anyone leave a review in a couple of minutes. For B2B SaaS with self-serve signups and individual decision-makers, that difference in friction translates directly into review volume. **Free profile management.** Claiming your profile and responding to reviews costs nothing on Trustpilot. On G2, responding to reviews requires a plan starting at $2,999/year. **Diversification timing.** [G2 acquired Capterra, GetApp, and Software Advice](/blog/g2-acquires-capterra-gartner-digital-markets/) - consolidating the three largest B2B review platforms under one roof. If your entire review presence sits on platforms that now share an owner, adding an independent platform to the mix is worth considering. Our [full Trustpilot guide](/guides/how-trustpilot-recognition-works/) covers the details - recognition programs, what's free vs. paid, and when Trustpilot makes sense for B2B SaaS. ## Check Whether You Already Have a Profile If you don't have a claimed Trustpilot profile, [start by checking whether one already exists](https://www.trustpilot.com/). Trustpilot is an open platform - a page for your product may have been created by reviewers without your knowledge. If it has, you already have reviews you haven't responded to. If you do have a profile, treat it like a channel. Pipedrive's approach - responding to the vast majority of negative reviews - is worth studying. TeamViewer's approach - [building a coordinated presence across 8+ review platforms](/blog/from-the-trenches-alvaro-padilla-teamviewer/) - shows what this looks like at enterprise scale. Our [review strategy guide](/guides/how-to-handle-software-reviews/) covers how response capabilities compare across all major platforms. [AI search visibility](/blog/b2b-software-directories-ai-seo-strategy/) is driving real revenue - for the platforms that host the reviews, and for the companies that show up in them. ## FAQ ### Why is Trustpilot showing up in ChatGPT recommendations so often? According to Promptwatch, Trustpilot is now the fifth most cited domain globally on ChatGPT. AI systems cite third-party review platforms because they combine structured data, review verification, and accountability — Trustpilot removed nearly eight million fake reviews in 2025 (nine out of ten caught automatically) and has a documented moderation methodology. Anonymous forum posts and vendor self-reporting don't offer the same signal. ### Does Trustpilot work for B2B SaaS companies? It works better for some B2B SaaS than others. Pipedrive has thousands of Trustpilot reviews with a 4.3 rating and responds to nine out of ten negative reviews. TeamViewer has over 120,000 Trustpilot reviews. Both are B2B software companies treating Trustpilot as a strategic channel. It fits best for SaaS with self-serve signups, individual decision-makers, and consumer-like buying patterns — and less well for enterprise software sold through procurement. ### How much did Trustpilot's AI search traffic grow in 2025? Approximately fifteen-fold year-on-year. Trustpilot reported this on their March 17, 2026 earnings call for full year 2025 results — click-throughs from AI search tools grew ~15x, and the CEO described AI search visibility as a primary revenue driver and key enterprise growth factor. ### Should B2B SaaS companies claim a Trustpilot profile even if reviews are mixed? Yes — because Trustpilot is an open platform, a profile for your product may already exist with reviews accumulating whether you watch or not. Webflow has two unclaimed profiles (1.5 and 2.2 stars) sitting unmanaged. Claiming the profile gives you the ability to respond to reviews, send invitations, and manage what's there. Leaving it unclaimed doesn't make it go away. ### How does Trustpilot compare to G2 for B2B software visibility? Different signal types. G2 provides category-specific credibility ("this is a top-rated CRM") with verified professional reviews; Trustpilot provides brand-level trust ("this is a well-regarded company") with open consumer-style reviews. Trustpilot's free plan is genuinely usable — TrustScore, basic widget, 50 invitations per month, and review responses at no cost. G2 requires a paid plan starting at $2,999/year just to respond to reviews. ### Are Trustpilot reviews verified? Less strictly than G2 or Capterra. Trustpilot is an open platform — anyone can leave a review in about 30 seconds without LinkedIn verification or work-email checks. Trustpilot compensates with automated moderation at scale (eight million fakes removed in 2025). The low friction drives volume; the moderation is imperfect but active. --- # What Is SaaS Listings Management? (And Why It Didn't Exist Until Now) URL: https://blastra.io/blog/what-is-saas-listings-management/ Description: A pizza place updates dozens of platforms from one dashboard. SaaS companies open 10 tabs. The category local businesses have had for 15 years is finally coming to software. A pizza place changes its hours. The owner opens one dashboard, types the new hours, hits save. The update pushes to Google Maps, Yelp, TripAdvisor, Apple Maps, Facebook, and dozens of other platforms, automatically, in seconds. This has been possible for over a decade. Yext launched PowerListings - update once, sync everywhere - and went public in 2017 at over a billion-dollar valuation. The category is called local listings management, and it's so mature it's boring. An AI startup ships a major feature. The founder or a marketer needs to do the same update the pizza place owner did, just on platforms relevant for software. They don't have the luxury of opening one dashboard, though. They log into G2 and update the screenshots, with captions tailored to that platform's audience. Then Capterra, where per-category descriptions mean [rewriting the same product pitch in multiple ways](/blog/why-blastra-uses-ai-for-directory-descriptions/). Then SourceForge, with different description fields, different category structures, different required formats. Each one is a separate login, a separate set of credentials, a separate afternoon. There is no single source of truth, no sync, and no "save." So most don't bother. The profiles sit there with last year's UI and a product description from two funding rounds ago. Nobody built the equivalent of Local Listings Management for software companies - SaaS Listings Management - because nobody needed it, until now. ## Directories Are Where AI Gets Its Answers Two things happened in the same window that changed this. First: AI search crossed from experiment to everyday. Several studies have started tracking which sources AI systems cite when they recommend software, and directories keep showing up. Goodie, tracking over 118,000 B2B SaaS citations across ChatGPT, Gemini, Claude, and Perplexity, found that G2 and Reddit are the two most-cited domains. SE Ranking found that brands with directory profiles are roughly three times more likely to be cited by ChatGPT than brands without. SourceForge, citing data from GEO analytics firm AthenaHQ, [reports being the most cited B2B software review site](https://docs.sourceforge.net/optimizing-your-sourceforge-listing-for-ai-search-and-generative-engine-optimization-geo) by AI chatbots and LLMs — a claim that makes more sense once you understand [how SourceForge's listing and review model actually works](/guides/understanding-sourceforge/). Think about what software directories are. They combine [structured data](/glossary/structured-data/) (standardized fields, pricing, feature lists), products grouped into comparable categories, and verified reviews that the vendor doesn't control. No other source type offers all three together. The verified part matters. A reviewer on G2 or Capterra authenticates through LinkedIn or a work email, and the review is tied to a real person at a real company using the product. Capterra [launched verified reviews almost twenty years ago](https://vistapointadvisors.com/for-founders/sell-company-pursue-priorities-passions), and the model spread across the industry because it worked. Reddit, the other major source in AI citations, has plenty of opinions about software - but they're anonymous, unstructured, and impossible to verify. Right now, AI systems appear to treat both sources with similar authority. We believe that will change as these systems get smarter about distinguishing verified from unverified signal - but even today, directories are the only source that combines third-party validation, structured comparison data, and verified reviews in one place. Second: G2 [acquired Capterra, Software Advice, and GetApp](/blog/g2-capterra-acquisition-closed/) from Gartner in early 2026. Four of the largest B2B software review platforms, one owner. Anyone whose directory presence leaned on G2 and Capterra - which is most SaaS companies - now leans on a single company's pricing, policies, and algorithms. Together: being present across multiple independent platforms went from nice-to-have to strategically important, and the biggest platforms just got less independent. ## Three Workarounds That Worked When Directories Didn't Matter Over the years, people found three workarounds. Each one made sense at the time. **The backlinks crowd** treated directories as SEO material. Submit everywhere, collect links, move on. An entire services industry exists around this - mass submission for link juice. The profiles themselves were an afterthought. No one was going back to update screenshots or respond to reviews. **Scrappy founders** submitted to as many directories as possible, hoping something would stick. Sometimes it worked - products with free tiers that could drive [organic review](/glossary/organic-reviews/) volume on G2 and Capterra occasionally turned directories into real acquisition channels. But the submission was a one-time event, and the profiles were never touched again. **Professional marketers** took directories seriously. They invested in Capterra PPC, G2 paid plans, and review campaigns. But they deliberately limited their presence to two or three platforms because managing more was overhead a 50-person company couldn't justify. Deep on a few beat shallow on many - that was the smart strategy. All three workarounds shared a constraint: none required managing presence across many platforms. The first two treated directories as a one-time event. The third invested seriously but limited scope. Now that distributed presence matters, the work is different: being on the right platforms in the right categories, keeping information accurate, collecting and responding to reviews, and propagating changes everywhere when something ships - not just to the two platforms someone remembered to log into. That's an ongoing function, and one that no one in the company is assigned to. ## The Pizza Place Has Had This for Fifteen Years Yext built a billion-dollar public company on that one-dashboard update for local businesses. Similar platforms followed across Europe and Asia. The insight was simple: the value is accuracy everywhere, not just presence. SaaS listings management is the same category of work for a different industry. That's what we're building at [Blastra](/). We started with directory submissions - getting your product listed on the platforms that matter - because that's the obvious first step. But submission is just the beginning. We recently launched an Alpha of what we call Visibility Posture: an AI-powered assessment of how your product looks through the lens of third-party platforms that inform AI citations. It answers the questions that matter - where you're listed, whether your categories are right, whether the information is current, and whether your reviews are answered. Most companies have no idea what their listings look like until someone shows them. We show them, and then we help them fix it - and keep it fixed. The vision: a software company ships a major feature, updates it once, and it pushes to G2, Capterra, SourceForge, and every other platform that matters. It's time software companies had what the pizza place has had for fifteen years. And maybe, eventually, nobody needs to update anything at all. ## FAQ ### What is SaaS listings management? SaaS listings management is the discipline of keeping a software company's presence consistent and current across the directories and review platforms that buyers (and AI systems) use to evaluate software — G2, Capterra, SourceForge, TrustRadius, [Gartner Peer Insights](/guides/how-gartner-peer-insights-actually-works/), and dozens of others. It covers submission, category placement, product data, screenshots, descriptions, and review management as an ongoing function rather than a one-time setup. ### How is SaaS listings management different from local listings management like Yext? The category of work is the same — maintain accurate presence across many platforms from a single source of truth — but the platforms are different. Local listings management (Yext, BrightLocal) covers Google Maps, Yelp, TripAdvisor, Apple Maps. SaaS listings management covers software-specific directories where the fields, categories, and review models are different from local business listings. ### Why didn't SaaS listings management exist as a category until now? For years, most SaaS companies could safely ignore or under-invest in directories. Two things changed in the same window: AI search started citing directories as primary sources when recommending software (G2 and Reddit are the two most-cited domains per Goodie's research across 118,000+ citations), and G2 acquired Capterra, Software Advice, and GetApp from Gartner in early 2026 — concentrating most B2B software review volume under one owner. Distributed presence went from nice-to-have to strategic. ### Can't I just submit to directories once and leave the profiles alone? That's one of the three workarounds that used to work: the backlinks crowd treated directories as SEO material, scrappy founders submitted broadly and moved on, professional marketers went deep on two or three platforms. None of those scale when presence needs to be kept current across many platforms. Screenshots go stale, product descriptions describe two funding rounds ago, reviews come in unanswered, and AI systems read whatever is there — including the parts that are out of date. ### What does SaaS listings management actually involve? Being on the right platforms in the right categories, keeping product information current as the product changes, collecting and responding to reviews, and propagating updates across every platform when something ships. It's an ongoing function, not a one-time submission event. Today, most software companies don't have anyone assigned to it — which is the gap a [done-for-you directory submission service](/directories/submissions-and-management) fills. ### Why do software directories matter for AI search? Directories combine three signals AI systems reward: [structured data](/glossary/structured-data/) (standardized fields, pricing, feature lists), category comparability, and verified reviews. No other source type offers all three together. Reddit has opinions but no verification. Vendor websites are self-reported. Directories sit in the middle — structured, comparable, and third-party-validated. **Sources:** - [SE Ranking, "How to Get Cited by ChatGPT," November 2025](https://seranking.com/) - 3x higher citation likelihood for brands with directory profiles - [Goodie, "The Most Cited B2B SaaS Domains in AI Search," 2025](https://higoodie.com/blog/most-cited-b2b-saas-domains-in-ai-search) - 118,000+ B2B SaaS citations across ChatGPT, Gemini, Claude, and Perplexity - [Capterra founding story, Vista Point Advisors](https://vistapointadvisors.com/for-founders/sell-company-pursue-priorities-passions) - Capterra's verified review model origins - [G2 acquisition of Capterra, Software Advice, and GetApp - closed February 5, 2026](https://company.g2.com/news/g2-acquires-capterra-software-advice-getapp) - announced January 29, [closed February 5](https://thenextweb.com/news/gartner-110m-sale-of-digital-markets-division-in-latest-sec-filing) per Gartner's 10-K - [Yext IPO, April 2017](https://www.prnewswire.com/news-releases/yext-inc-announces-pricing-of-initial-public-offering-300439153.html) - $11/share, over $1B market cap --- # From Trustpilot to Gartner: How TeamViewer Wins on 8+ Platforms URL: https://blastra.io/blog/from-the-trenches-alvaro-padilla-teamviewer/ Description: TeamViewer is active on 8+ review platforms — not two or three. The compound effect shows up in every procurement shortlist and AI recommendation. *From the Trenches is a Blastra series featuring practitioners solving real problems at work - one shot at a time.* --- [TeamViewer](https://www.teamviewer.com/?utm_source=blastra&utm_medium=referral&utm_campaign=from-the-trenches-alvaro-padilla-teamviewer) is one of the few software products actively winning awards and responding to reviews across more than eight review platforms - including G2, TrustRadius, Gartner Peer Insights, and others. I'm the Senior Customer Experience Manager at TeamViewer, and this became my work because I saw an opportunity - and because once you start looking at how buyers and AI find and evaluate software, you can't unsee it. > Here are some of TeamViewer's recognitions: 167 badges on G2 with number-one rankings in 56 reports, a Top 2 Best IT Infrastructure Software award in G2's 2026 Best Software Awards, over 120,000 reviews on Trustpilot, the 2026 [TrustRadius Buyer's Choice Award](/all-software-awards-and-badges/trustradius-buyers-choice/) and Trusted Seller recognition, the number-one MSP Software spot in [Capterra's Shortlist](/all-software-awards-and-badges/capterra-shortlist/), and a strong presence on Gartner Peer Insights and SoftwareReviews - with active, maintained profiles across eight review and directory platforms. ## What I Walked Into TeamViewer is a company with over 600,000 customers, with businesses from SMB to enterprise, across all markets and industries. When I started focusing on our review platform presence, the foundations were solid - we had profiles on the major platforms and reviews were coming in organically. But each platform had grown independently. I felt we needed a unified approach, one that connected them into a coordinated ecosystem and treated the full picture of where buyers find us as a single [strategic surface](/blog/introducing-visibility-posture-alpha/). The thing about a company like TeamViewer is that different buyers arrive from different directions. An enterprise procurement team evaluating seven-figure infrastructure investments might start on Gartner Peer Insights. A mid-market IT manager might find us on Capterra. A CTO doing quick research might check G2. And increasingly, [AI systems synthesize data](/blog/ai-search-consensus-pattern-saas-recommendations/) from platforms they deem trustworthy and relevant to a specific user when they ask for a recommendation. Discovery is becoming more fragmented, not less - and that fragmentation is exactly why multi-platform presence matters more now than it did even two years ago. You don't control where any given buyer or algorithm lands first, so you have to be solid everywhere. ## Eight Platforms, From Public Trust to Analyst Boardrooms What makes this work interesting is the range. Our platform portfolio starts with Trustpilot, where over 120,000 reviews from both B2B and consumer users create a public trust signal visible to anyone, with close to 100 million visits per month — and [now the fifth most-cited domain on ChatGPT globally](/blog/trustpilot-ai-search-visibility/) — and extends all the way to Gartner Peer Insights, where enterprise IT buyers operate within the analyst ecosystem and purchasing decisions carry seven-figure price tags. These two platforms sit at opposite ends of a spectrum, and it's not immediately clear that there's value in covering both. In between, each platform serves a distinct function, and to be successful, the presence has to be adapted accordingly. ## Four Teams, One Source of Truth Getting from independent profiles to a coordinated presence across eight platforms required organizing four internal teams: brand owns visual identity and messaging guidelines, product marketing owns feature descriptions and positioning, marketing owns campaign-related content, and communications handles anything public-facing. Every listing update touches multiple teams, so the first thing I did was create a single source of truth that everyone could reference. The operational details aren't glamorous, but I built a strategy and a framework around it. It takes months to work through a full refresh across all platforms, but the collective effect is stronger than any single listing. ## Why Review Responses Matter Volume without engagement is just noise. Our community team handles review responses across platforms - personalizing where it matters, and automating where scale demands it. At over 120,000 reviews and counting, you have to be pragmatic about where human attention goes. The principle is straightforward: respond to everything, but invest the most effort where it can change outcomes. Positive reviews get genuine appreciation - no matter our scale, we care about every single one, because someone took time out of their day to vouch for us. Negative reviews get attention and, where possible, resolution. When a customer updates their rating after an issue gets fixed, that's a signal other buyers trust - because it's earned, not manufactured. This is the best way for us to demonstrate how we treat our customers and value the experience of each one of the hundreds of thousands of them. ## The Conventional Thinking Doesn't Hold Up Here's what surprised me when I started looking at the industry landscape: even the largest companies, including some of our competitors, with bigger teams than ours, typically focus on only two or three platforms. The conventional approach is to pick one or two directories, invest there, and call it done. You can tell which platforms a company is managing and which ones they're not. A company might be performing well on G2 - top badges, strong positioning - and then you check their Trustpilot page and the rating is low, nobody's responding to reviews, and the listing is outdated. The gap is visible, and buyers notice. They don't tell you what they saw; they just move on to another option. Being consistently present and well-ranked across eight platforms is rare. I know how much effort it takes because I live it, and I can see what happens when that effort compounds. AI is accelerating this. Leadership teams are starting to pay attention, and investments in third-party presence are growing across the industry - because when the next generation of buyers asks an AI for a recommendation, the answer will come from these platforms. ## A Function That Doesn't Have a Name Yet I've tried to define what I do using existing job titles - brand reputation manager, performance marketing, platform expert, platform advisor - and none of them quite fit. The work spans directories, review strategy, marketplace positioning, customer advocacy, and competitive intelligence. It touches product marketing, customer marketing, brand, communications, product management, sales enablement, campaigns, and more - but it doesn't sit neatly in any one of those teams. Some call it program management, but a program manager isn't always given the authority to move things forward across teams. This is a strategic role - one that requires buy-in from leadership for prioritization and enablement. Even in flat organizations, it's difficult to lead cross-functional work if you're not recognized as the person responsible for it. I think as more companies start paying attention to their third-party presence, this will become a more defined function - with the title and authority to match. It's getting there. ## Pick Three Platforms and Build From There If you're reading this and your company's review platform presence needs attention, start with the fundamentals. Know every platform where you're listed. Know what each listing says. Know who owns each element internally. Build a system for cycling through updates. Don't try to be everywhere at once. Pick your top three or four platforms, build your process there, prove that it works, and then expand. The long-tail platforms matter - but only after your core presence is solid. ## Awards Need to Be Promoted Once you're successful, don't be shy about showcasing your awards. Use all channels available to you, and just as you already let your customers speak, now let your employees do the talking. Employee advocacy - sharing recognition on LinkedIn, Instagram, Facebook - is always a great way to celebrate and expand your wins. Customer advocacy brought you here; employee advocacy should drive you now. Website, slide decks, email signatures - none of these should be forgotten. ## Platform by Platform Breakdown Here's what each platform in our portfolio looks like - you can see which ones are right for you. ### Trustpilot [Trustpilot](https://www.trustpilot.com/review/www.teamviewer.com) is founded on trust - it's not a platform designed for software buyers specifically, but for all consumers. That's what makes it powerful. It touches the human side, builds credibility, and even more so when you show up and reply to ratings. The sheer scale of reviews gives it weight that other platforms don't have, and a high Trustpilot score combined with high volume really makes a company stand out as a serious business partner. Review depth is not Trustpilot's strength - for software companies, it's not a must-have - but it's a great trust builder that reinforces the freemium approach. Trustpilot is also betting on the AI world, which makes the platform increasingly relevant as a trust signal for both humans and machines. ### Capterra [Capterra](https://www.capterra.com/p/79702/TeamViewer/) reaches a broader market - small and mid-size businesses researching tools for the first time. What's less understood about Capterra is that it's multilingual and ranks extremely high for local searches not only in the US but also in multiple European countries and beyond. TeamViewer reaches a global audience and searches in multiple languages matter a lot to us. Capterra also allows per-category description customization, which means that when you're listed in 20-plus categories, you get a chance to speak to a specific buyer's needs - or to waste it with generic copy. Personalization, of course, multiplies the content workload, but on Capterra purchasing decisions are made faster and with its PPC functionalities you are less dependent on review volume and more on the right messaging, so you want to take a shot. ### SoftwareReviews [SoftwareReviews](https://www.softwarereviews.com/products/teamviewer-remote) is a growing and increasingly relevant directory from Info-Tech Research Group. It's strong on the research side - more enterprise-focused than some of the others, and becoming more visible in AI-powered search results. The platforms that invest in structured, research-grade data are the ones that AI will lean on most heavily. (For a deep dive into how SoftwareReviews' two award programs work, see our [SoftwareReviews awards guide](/guides/how-softwarereviews-awards-work/).) ### G2 [G2](https://www.g2.com/products/teamviewer/reviews) is where mid-market and enterprise buyers go to compare tools side by side. The Grid reports and category rankings matter in procurement decisions. The [awards and recognitions](/blog/software-badges-decoded-ai-trust-signals/) that we earn there via reviews matter a lot because they come from verified users on a third-party platform, not from us. G2's influence in the enterprise segment is stronger than many seem to understand. In addition, G2 also gives us something harder to get elsewhere: buyer intent data and [competitor benchmarking](/blog/g2-competitor-strategy/) that feeds directly into how we position ourselves. ### TrustRadius [TrustRadius](https://www.trustradius.com/products/teamviewer/reviews) serves mid-market and enterprise buyers and focuses on depth. Leaving a detailed review on any of these platforms requires [real effort from the reviewer](/guides/how-to-handle-software-reviews/) - each review is someone taking time out of their day to share their experience - but TrustRadius reviews tend to be the longest and most detailed of all. This helps build an analyst-friendly narrative and enhance product credibility. ### Gartner Peer Insights [Gartner Peer Insights](https://www.gartner.com/reviews/market/endpoint-management-tools/vendor/teamviewer) is the analyst-adjacent platform for enterprise IT buyers. Being rated well there puts you in front of the people making the largest purchasing decisions - and for AI pulling recommendations from authoritative sources, Gartner's data is hard to beat. This directory informs the Magic Quadrant analysts, and if you sell to enterprise, it's the place to be. But the platform requires a lot of work and some serious maintenance. ### The Rest of the Portfolio The remaining platforms in our portfolio - including SourceForge and IT Reviews (for the Japanese market) - round out our coverage in specific markets and geographies. I treat each one as a surface where a buyer or an AI system might encounter us. --- *Have a story from the trenches? Drop us a line at ceo@blastra.io* ## Related Reading - [Design Partners Trust the Founder. Strangers Trust Other Buyers.](/blog/from-the-trenches-ami-burstin/) — Ami Burstin on the early-stage version of this problem: why warm-network deals close while cold pipelines stall - [Introducing Visibility Posture: What Your Directory Presence Actually Looks Like](/blog/introducing-visibility-posture-alpha/) — See where you stand and how your presence looks across platforms - [Gartner Peer Insights Guide: How to Earn Customers' Choice](/guides/how-gartner-peer-insights-actually-works/) — How the platform works and what it takes to get recognized - [G2 Badges Guide: How to Earn Badges](/guides/how-to-earn-g2-badges/) — What drives G2 badge awards and how to earn them - [TrustRadius Badges Guide: How to Earn Awards](/guides/how-to-earn-trustradius-badges/) — How TrustRadius recognition works - [Capterra Badges Guide: How to Earn Badges](/guides/how-to-earn-capterra-badges/) — What Capterra looks for and how to stand out - [How Trustpilot TrustScore Recognition Works for B2B SaaS](/guides/how-trustpilot-recognition-works/) — Why Trustpilot matters beyond consumer reviews - [25 Software Badges That Should Matter More Than a Reddit Thread](/blog/software-badges-decoded-ai-trust-signals/) — What badges actually signal to buyers and AI --- # How I Turned Two Days of Recordings Into Six Months of Content URL: https://blastra.io/blog/from-the-trenches-tom-snyder-filescom/ Description: Tom Snyder at Files.com had hours of event recordings and no team. Here's how he used ChatGPT, ElevenLabs, and Canva to produce six months of content — alone. *From the Trenches is a Blastra series featuring practitioners solving real problems at work - one shot at a time.* --- About a year and a half ago, [Files.com](https://files.com/?utm_source=blastra&utm_medium=referral&utm_campaign=How+I+Turned+Two+Days+of+Recordings+Into+Six+Months+of+Content) held a two-day customer event. Speakers presented, sessions were recorded, and by the end of it we had hours of video with real customer stories and use cases. I should mention: at the time, I was the entire marketing team on this project. Files.com is a file orchestration platform used by more than 4,000 organizations, and we had plenty of product and engineering muscle, but marketing was brand new. At most companies, these recordings would end up on an old file server collecting digital dust. At Files.com, they landed on my desk with no team to hand them to. I looked at what was probably 18 hours of video and thought that I would build a workflow using AI. ## Four Steps, Three Tools **Step 1: Video to text.** I used [ChatGPT](https://chatgpt.com) directly to ingest the video recordings along with the presentations the presenters used - feeding in the audio and getting back usable transcripts. The videos themselves weren't stellar content. They were a single tripod setup in the back of the room. The audio was clear, but it wasn't engaging or compelling, and I knew there was good material in the content being delivered. **Step 2: Transcript to draft.** With the transcripts in hand, I used ChatGPT to reshape the raw presentations into structured blog post drafts. A 45-minute session doesn't translate directly into a readable post - there's back-and-forth, tangents, context that only makes sense live. The AI handled the first pass of pulling out the key points and organizing them into something publishable. The blog drafts weren't publish-ready on first generation, but they were about 75% of the way there, and even that was a massive time-saver. Video-to-blog isn't the most mind-breaking workflow though - I didn't stop there. I used the transcript and blog post to generate a concise four-to-five minute voiceover script that took the content from long-form lecture style to a compelling slide deck walkthrough, and prompted ChatGPT to create a matching slide deck outline I could import into [Canva](https://www.canva.com) for refining (I didn't trust or expect ChatGPT to create something beautiful and on-brand). **Step 3: Voiceover.** I used [ElevenLabs](https://elevenlabs.io) to generate the voiceover from the script. I picked a voice similar to one that had done some knowledge base content for us previously because it felt like a good fit. I had to tweak some pronunciation, but that was expected with so many acronyms and technical jargon to handle. **Step 4: Visuals.** With Canva I handled the visual side. I uploaded the ChatGPT-created deck as a starting point, then created my own template that I could apply to slides to make them more visually appealing and on-brand. I uploaded the ElevenLabs voiceover into Canva, set timing on each slide to match, and exported everything as a single .mp4 file. Then - *cracking my knuckles* - make a YouTube thumbnail and publish. ## What Came Out the Other End Six months of content from two days of recordings. I standardized this workflow and made some custom prompts and GPTs to make the generation process even faster. Here's an example of what came out of the pipeline: ## You Don't Need a Team for This I wasn't setting out to build a "content repurposing system" or an "AI content engine." I was one marketer with a pile of recordings and no help. The AI tools made it possible for me to do the work a content team would have done, at a pace that made sense. Now the process is similar, but I've discovered purpose-built tools that handle much of what I had Frankensteined together. If you're sitting on event recordings, webinar archives, or customer call libraries and thinking "we should do something with those" - you probably should, and you probably don't need a lot of help to do it. --- *Have a story from the trenches? Drop us a line at ceo@blastra.io* ## Related Reading - [Design Partners Trust the Founder. Strangers Trust Other Buyers.](/blog/from-the-trenches-ami-burstin/) — Ami Burstin on watching a good company fail in the gap between warm intros and cold conversion - [Who Decides What Your Software Is?](/blog/who-decides-what-your-software-is/) — How software categories shape your visibility before buyers ever find you - [Introducing Visibility Posture: What Your Directory Presence Actually Looks Like](/blog/introducing-visibility-posture-alpha/) — A new way to see where you stand across directories - [Who Owns Your Software Reviews? What the Fine Print Actually Says](/blog/who-owns-your-software-reviews/) — What happens to your reviews when platforms change the rules --- # Who Decides What Your Software Is? URL: https://blastra.io/blog/who-decides-what-your-software-is/ Description: Directory categories are defined by feature checklists. That used to be a minor friction. Now they shape your AI search visibility. Nobody starts a company by picking a software category. The thinking is more like: this process is broken, I know people who'd pay for something better, let me build it. You build. People use it. You grow. "Graphic Design Software" or "Creative Management Platform" never enters the conversation — you're solving a problem for people who have it. Categories show up later, when you start working on your [visibility posture](/glossary/visibility-posture/) to improve your SEO and AEO and want to get listed on a [software directory](/glossary/software-directory/). That's when you discover that someone already decided what your product is supposed to be — based on a feature checklist that doesn't correspond to your product or what your users are asking for. ## Directory Data Feeds AI Recommendations Directory data is structured. It's categorized. Feature lists, review text, competitive comparisons — all pre-organized into a format that's computationally efficient to scan. Combined with verified reviews that software sellers have no control over, this becomes a very valuable data source for any system trying to make reliable recommendations. Research by Profound found that AI is [6.5x more likely to cite third-party platforms](/blog/b2b-software-directories-ai-seo-strategy/) than your own website. Your [category](/glossary/categories/) placement shapes your reviews, your scores, your badge eligibility, and your competitive set. And increasingly, it shapes your AI search visibility — how AI systems learn what your product is and who to recommend it to. We received a rejection email on behalf of a client that shows exactly how this plays out. ## "We Were Unable to Add It to a Suitable Category" The product: a design collaboration tool used by hundreds of design teams. In our assessment, it fits both the Graphic Design and Creative Management categories — the same categories where its competitors are listed. The response, paraphrased from the platform's review team: your product is missing mandatory features required for these categories. Specifically: - **CAD Tools** — think AutoCAD, SolidWorks; precision technical drawings for engineering and architecture - **Design Templates** — pre-built templates with flowcharts, mindmaps, wireframes, org charts - **Image Editing** — edit, touch up, and convert images for publishing - **Project Management** — plan and coordinate resources, costs, and time for assignments The product helps design teams collaborate on getting designs ready for publishing. Whether that involves CAD functionality or precision technical illustration is beside the point for the teams using it — they chose the tool because it solves their workflow. But the category definition says Graphic Design software must include CAD capabilities. So: no listing, right next to the competitors who serve the same buyers. The platform was polite about it. They offered to reconsider with documentation. They even acknowledged that some existing products in the category might have been added based on vendor-provided screenshots rather than verified feature checks. We eventually got the product listed in Creative Management by providing additional documentation — but most founders wouldn't know that's an option. If you've run into something similar, we wrote a [step-by-step guide on appealing directory rejections](/guides/how-to-appeal-capterra-rejection/). ## Every Platform Built a Different System Every major platform maintains its own taxonomy for classifying what software does and where it belongs. G2 has [29 full-time research analysts](https://sell.g2.com/categories) curating over 2,100 categories. Capterra has 900+ with different definitions. Each specifies what a product must do, and often which features it must have, to qualify. A CRM that does CRM things lands in the right place without friction. The trouble starts when products serve the same buyers through a different approach — fewer features, a different workflow, a different entry point into the same problem. We know this firsthand. Blastra was initially placed on G2 into "Review Platforms" alongside Clutch and UpCity — tools that do something quite different from what we do. "SaaS Listings Management" doesn't exist as a G2 category. So we went through options with an analyst: SEO? Reputation Management? We ended up in "Other Marketing Software" — a catch-all launchpad, similar to G2's "Other AI Software" category that [we covered recently](/guides/how-g2-ai-categories-work/). Some founders have navigated this by proposing entirely new categories. One [documented on Indie Hackers](https://www.indiehackers.com/post/if-you-cant-get-1-on-g2-create-a-new-category-that-s-what-we-did-e863ef6e63) how they contacted G2, proposed "Notification Infrastructure," provided 10 fitting competitors, and four months later became the top product in a category they helped define. We wrote a step-by-step guide on [how to create a new software category](/guides/how-to-create-a-new-software-category/) covering the process on G2, Gartner Peer Insights, TrustRadius, and which platforms have no path at all. Gong went through a similar process years earlier, reframing their space from "Conversation Intelligence" to "Revenue Intelligence" — a story their former CMO Udi Ledergor describes in his book *Courageous Marketing*. G2 adds 5-10 new categories per month and encourages this, but most founders don't think about categories until they get a rejection like the one above. The fragmentation is recognized. When [G2 acquired Capterra, GetApp, and Software Advice](/blog/g2-acquires-capterra-gartner-digital-markets/) from Gartner Digital Markets in early 2026, one of the headline promises was a "single, market-leading taxonomy" — merging four separate classification systems into one. That's a meaningful commitment. How it plays out for vendors like the one in our rejection email remains to be seen. In the meantime, it might be worth checking which category your product is actually in — on every platform where you're listed — and whether that category describes what you do or what a different product does. Blastra's [Visibility Posture assessment](/glossary/visibility-posture/) does this across all major directories as part of onboarding. [SaaS Listings Management](/blog/what-is-saas-listings-management/) doesn't have its own category yet, so we're solving this uncategorized, together with thousands of other marketing software solutions. --- # SaaS Product Visibility: How to Assess and Improve Directory Presence URL: https://blastra.io/blog/introducing-visibility-posture-alpha/ Description: Audit your SaaS product visibility across directories, review platforms, and AI search. Find gaps with Visibility Posture, Blastra's assessment framework. We've released an Alpha version of [Visibility Posture](/glossary/visibility-posture/). After checkout, our agent runs an assessment of your presence across [software directories](/glossary/software-directory/). It checks four things — and each one is a deliberate choice about what matters. **Where you are.** Which directories have an active listing for you. Some were created by you, some by a former employee, some auto-generated by the platform itself. The agent finds what actually exists. **What category you're in.** How each platform classifies your product. Category determines which comparison pages you appear on and which searches surface you. **What AI understands about your product.** What a language model can extract about what you do, who you serve, and what makes you different — from your third-party presence, not your own website. This is the view from outside. **How many reviews you have, per platform.** No quality judgment yet — just the count. Volume tells you where you stand relative to others in your category. From there, you can select new directories to get listed on, or flag existing ones you want us to manage and keep current. The next phase adds review sentiment — what your reviewers consistently say, not just how many you have. After that: scoring, so you can assess your visibility posture at a glance and act on it. ## Why SaaS Product Visibility Matters More Than Your Website On your website, you choose which testimonials to publish and which feedback stays internal. You are biased. On a review platform, you don't control what gets written, what gets published, or how it reads. That's what makes reviews evidence. Savvy buyers know that. Since the early 2000s, they've been shopping for software on directories that offer convenient ways to compare apples to apples — and to quickly understand what verified users actually say in unedited reviews. AI by itself isn't that savvy yet. When asked, it gives you surface-level information — and being present on directories helps you show up in those answers. A savvy buyer will then use AI to dig beneath the surface: what do real users say across multiple platforms? That investigation is now faster and cheaper than it's ever been. This is the work that happens before a buyer ever takes a meeting. [Ami Burstin, a fractional CMO, wrote about watching a good company fail in exactly this gap](/blog/from-the-trenches-ami-burstin/) — warm-network deals closed, cold pipelines stalled, and the difference was the proof a stranger needs before they'll evaluate you at all. But AI is getting better. We believe the next phase of software discovery via AI will be presenting deeper findings without being asked. And those deeper findings live in the same place — software directories with [verified reviews](/glossary/review-verification/). It's where authentic information lives. It's also where the most structured data lives — products categorized, grouped, and reviewed in a format AI can read efficiently without scraping the entire web. According to AirOps research (October 2025), brands are already 6.5x more likely to be cited through third-party sources than through their own domains. ## Why we call it "posture" We borrowed the term from cybersecurity. In cyber, "security posture" is an organization's overall readiness to identify, prevent, and respond to threats — assessed continuously and improved as the landscape changes. Nobody treats security as a one-time project. You assess your posture and maintain it. The same logic applies here. Your visibility posture is the state of your presence across directories and review platforms. It changes as your product evolves, as platforms update their taxonomy, as new reviews come in or stop coming in, as competitors improve their own presence. It needs ongoing attention — assessment, then maintenance. That's what we're building toward. The assessment tool shows you where you stand. The platform and [SaaS listings management](/glossary/software-listings-management/) service help you maintain and improve it. ## FAQ ### What is SaaS product visibility? SaaS product visibility is how reliably buyers and AI systems can find, identify, and understand your software when they go looking for a solution in your category. It isn't a single number — it's a combination of which [software directories](/glossary/software-directory/) list you, how each platform categorises your product, how many verified reviews you have, and what AI models can say about you from third-party sources (not your marketing site). Visibility Posture is our term for that combined state. ### How do I improve my SaaS visibility in AI search? AI models pull from structured, third-party sources far more than from vendor-controlled copy — [one study found brands are 6.5x more likely to be cited through third-party sources than through their own domain](/blog/ai-search-consensus-pattern-saas-recommendations/). To improve AI visibility, list on the directories your buyers and LLMs actually query (G2, Capterra, SourceForge, TrustRadius, category-specific platforms), keep product descriptions and categorisation accurate across all of them, and build consistent verified reviews. AI rewards [consensus across independent sources](/blog/ai-search-consensus-pattern-saas-recommendations/), not volume on any single channel. ### What affects SaaS product visibility on directories? Five things carry most of the weight: (1) whether you have an active, claimed listing at all; (2) correct category placement — the wrong category pulls you into comparison sets you'll lose; (3) review volume and recency relative to competitors in that category; (4) how clearly your description explains what the product does in structured, directory-friendly language (see [why directory descriptions work better when written for the format](/blog/why-blastra-uses-ai-for-directory-descriptions/)); (5) whether the data stays current as your product evolves — stale listings leak trust with both buyers and AI. ### What's the difference between SaaS visibility and Visibility Posture? "SaaS visibility" is the general concept — can people and AI find your product. "Visibility Posture" is Blastra's framework for assessing and maintaining it: a continuous measurement of where you appear, how you're categorised, what AI understands about you, and how your review footprint compares to competitors. Borrowed from cybersecurity's "security posture," the word signals that visibility is something you assess regularly and maintain, not a one-time setup task. --- # AI Visibility Tools in 2026, Ranked by Their Review Platform Presence URL: https://blastra.io/blog/ai-visibility-tools-ranked-by-review-platform-presence/ Description: 15 AI visibility tools evaluated through their visibility posture on G2, Capterra, SourceForge, and Trustpilot. Real ratings, real user sentiment, real data. **Update (Feb 24):** One day after we published this analysis, [Profound raised a $96M Series C at a $1B valuation](https://www.globenewswire.com/news-release/2026/02/24/3243475/0/en/Profound-Raises-Series-C-at-1B-Valuation-to-Lead-a-New-Category-of-Marketing.html), led by Lightspeed with Sequoia and Kleiner Perkins participating. Our analysis below stands — full context in the Profound entry. --- ## TL;DR 15 AI visibility tools, ranked by how they show up on G2, Capterra, [SourceForge](/guides/understanding-sourceforge/), and Trustpilot. The established SEO suites (SE Ranking, Ahrefs, Semrush) have strong review presence but split sentiment — professional platforms love them, Trustpilot surfaces billing friction. The AI-native tools (Otterly, Peec, Gauge) are still building their profiles, often starting on SourceForge. We put ourselves on the list too — and we don't grade out well. | Tool | Price | Type | Tier | Reviewer Sentiment | |------|-------|------|------|-------------------| | SE Ranking | ~$65/mo | monitoring | Strong | Positive across platforms; praised for support | | Frase | $15-45/mo | optimization | Strong | Strong on G2/Capterra; billing complaints on Trustpilot | | Surfer SEO | $79-99/mo | optimization | Strong | Strong on G2/Capterra; billing issues on Trustpilot | | Writesonic | $49/mo | optimization | Strong | Positive but output needs editing; credit frustrations | | Google Search Console | Free | monitoring | Strong | Positive; complaints about missing features | | Ahrefs Brand Radar | $129/mo+ | monitoring | Strong | Split: 4.5 on G2, 2.1 on Trustpilot | | Semrush AI Toolkit | Subscription | monitoring | Strong | Split: 4.5 on G2, 2.1 on Trustpilot | | HubSpot AEO | $50/mo | monitoring | Strong | Positive; praised for clarity, wants more models | | Otterly AI | $29/mo | monitoring | Early | Positive; praised for rapid iteration | | Peec AI | €89/mo | monitoring | Early | Positive; praised for multilingual tracking | | Profound | $99-399/mo | monitoring | Early | Positive on depth; steep learning curve | | Rankscale AI | ~€20/mo | monitoring | Early | Positive on SourceForge; no G2 reviews yet | | Bing Webmaster | Free | monitoring | Early | Limited reviews; too new for AI features | | AirOps | Custom | optimization | Early | Positive but steep learning curve | | Gauge | $99/mo+ | monitoring | Minimal | G2 Leader badge; minimal review volume | | Am I On AI | $100/mo | monitoring | Minimal | SourceForge only; limited data | | Productrank.ai | Free | monitoring | Minimal | Not listed on review platforms | | Blastra | Service | presence | Minimal | 3 G2 reviews; it's a start | ## Why Review Platform Presence Matters A whole new market showed up in the last eighteen months. [Tools that track whether AI mentions your brand](https://emgigroup.com/blog/best-ai-visibility-tools-saas/), tools that optimize your content for AI citation, tools that score your "AI visibility" on a scale of 1 to 100. G2 inaugurated a dedicated [AEO (Answer Engine Optimization)](/glossary/aeo/) category — [207 solutions listed](https://www.g2.com/categories/answer-engine-optimization-aeo?utm_source=blastra&utm_medium=blog&utm_campaign=ai-visibility-tools) when we checked. Over 40 are specifically focused on AI visibility tracking by our count, and the number keeps growing. Today, the recipe for showing up in AI recommendations looks straightforward — Reddit mentions, [listicles](/glossary/listicle/), affiliate blog features, some YouTube presence. And it works. AI systems are pulling from all of these sources right now and it's easy to start showing up. Directories and [review platforms](/glossary/review-platform/) already work at this level — AI systems cite G2, Capterra, and SourceForge listings when recommending software, because the data is structured, categorized, maintained, and easy to parse. But the same platforms also hold a deeper signal: what [verified users](/glossary/review-verification/) actually say about the product, and whether the company pays attention. Today, a savvy [buyer](/glossary/buyer/) asks the right follow-up questions to push AI into that layer. Tomorrow, AI won't need the follow-up. Early Google rewarded keyword density, then shifted to authority signals. Early app stores rewarded keyword stuffing, then shifted to [ratings](/glossary/rating-and-ranking/) and reviews. We call this [visibility posture](/glossary/visibility-posture/) — how a company looks when someone (or something) checks below the surface. ## How We Evaluated These tools help companies track and improve their AI search visibility. We were curious about their own visibility posture — what you find when you check their review platform presence. For each tool, we checked their profiles on G2, Capterra, SourceForge, and Trustpilot and noted ratings, review volume, user sentiment, and whether the vendor appears to engage with reviewers. We grouped tools into three tiers: **strong** (present on most platforms with substantial review volume), **early** (present but building), and **minimal** (limited or no presence). ## Strong Visibility Posture ### [SE Ranking](https://seranking.com/?utm_source=blastra&utm_medium=blog&utm_campaign=ai-visibility-tools) — AI Visibility Starting from ~$65/month (part of suite) | `monitoring` AI citation tracking within a broader SEO platform. Review platform presence when we checked: 4.8/5 on G2 (more than 1,400 reviews), 4.7/5 on Capterra (close to 300 reviews), listed on SourceForge, 4.3/5 on Trustpilot (close to 700 reviews). [G2 Leader](/guides/how-to-earn-g2-badges/) in 15 categories. From what we can see, SE Ranking shows what engaged review management looks like — the team appears to respond to reviews across all platforms, including negative ones on Trustpilot. Users consistently praise affordability relative to Ahrefs and Semrush, and support responsiveness comes up in nearly every positive review. The Trustpilot score (4.3) is notably higher than both Ahrefs and Semrush — from the review themes, this appears to reflect a cleaner billing and cancellation experience. [G2](https://www.g2.com/products/se-ranking/reviews?utm_source=blastra&utm_medium=blog&utm_campaign=ai-visibility-tools) | [Capterra](https://www.capterra.com/p/142169/SE-Ranking/reviews/?utm_source=blastra&utm_medium=blog&utm_campaign=ai-visibility-tools) | [Trustpilot](https://www.trustpilot.com/review/seranking.com?utm_source=blastra&utm_medium=blog&utm_campaign=ai-visibility-tools) --- ### [Frase](https://www.frase.io/?utm_source=blastra&utm_medium=blog&utm_campaign=ai-visibility-tools) Starting from $15/month (Solo) / $45/month (Basic) | `optimization` Research and content optimization for the kind of question-answering content that AI systems pull from. Pre-dates the AI visibility boom by years, but the approach — structuring content around questions with clear, comprehensive answers — maps to what generative engine optimization (GEO) requires. Review platform presence when we checked: 4.8/5 on both G2 (close to 300 reviews) and Capterra (more than 330 reviews), 5.0/5 on SourceForge, 4.1/5 on Trustpilot. 98% recommend on G2. Reviewers report measurable time savings on content research — one agency reviewer documented 180 hours per month saved. The question discovery feature (pulling from Reddit, Quora, People Also Ask) gets specific praise for finding content gaps competitors miss. The Trustpilot dip (4.1 vs 4.8 elsewhere) surfaces a different story: auto-billing complaints and a 5-day refund window that catches users off guard. The Frase team does respond to reviews and has resolved individual disputes, but the billing pattern keeps appearing. [G2](https://www.g2.com/products/frase/reviews?utm_source=blastra&utm_medium=blog&utm_campaign=ai-visibility-tools) | [Capterra](https://www.capterra.com/p/197955/Frase/reviews/?utm_source=blastra&utm_medium=blog&utm_campaign=ai-visibility-tools) | [Trustpilot](https://www.trustpilot.com/review/www.frase.io?utm_source=blastra&utm_medium=blog&utm_campaign=ai-visibility-tools) --- ### [Surfer SEO](https://surferseo.com/?utm_source=blastra&utm_medium=blog&utm_campaign=ai-visibility-tools) Starting from $99/month ($79/month annual) | `optimization` Traditional SEO content optimization adding AI-specific features — structure analysis, entity coverage, topical completeness. Close to 90% of its G2 reviews are five-star. Review platform presence when we checked: 4.8/5 on G2 (more than 530 reviews), 4.9/5 on Capterra (more than 400 reviews), listed on SourceForge, 4.4/5 on Trustpilot (more than 210 reviews). The content editor and SERP analyzer are consistently praised on G2 and Capterra — reviewers report measurable organic traffic improvements. But sophisticated users note that the SERP analyzer assumes correlation equals importance, and several report that manual SERP review is more valuable than the automated analysis. Pricing is the main barrier: prohibitive for freelancers, and the credit system means even paid plans feel limiting. On Trustpilot, the pattern shifts to billing complaints — charges after cancellation, difficulty removing payment methods. [G2](https://www.g2.com/products/surfer/reviews?utm_source=blastra&utm_medium=blog&utm_campaign=ai-visibility-tools) | [Capterra](https://www.capterra.com/p/218703/Surfer/reviews/?utm_source=blastra&utm_medium=blog&utm_campaign=ai-visibility-tools) | [Trustpilot](https://www.trustpilot.com/review/surferseo.com?utm_source=blastra&utm_medium=blog&utm_campaign=ai-visibility-tools) --- ### [Writesonic](https://writesonic.com/?utm_source=blastra&utm_medium=blog&utm_campaign=ai-visibility-tools) Starting from $49/month | `optimization` AI content creation plus visibility tracking in one platform. The largest review volume of any tool in this research. Review platform presence when we checked: 4.7/5 on G2 (more than 2,200 reviews), 4.8/5 on Capterra (more than 2,100 reviews), 5.0/5 on SourceForge, 4.7/5 on Trustpilot (more than 5,800 reviews). The volume itself is a data point — close to 6,000 Trustpilot reviews suggests a large consumer user base, not just enterprise buyers. Users praise the production speed and template variety. The consistent criticism across all platforms: output quality requires heavy editing, and experienced users describe it as a draft accelerator rather than a content solution. The credit system is a recurring frustration — credits don't roll over, different features consume credits at different rates, and several users report unexpected charges after cancellation. [G2](https://www.g2.com/products/writesonic/reviews?utm_source=blastra&utm_medium=blog&utm_campaign=ai-visibility-tools) | [Capterra](https://www.capterra.com/p/219972/Writesonic/reviews/?utm_source=blastra&utm_medium=blog&utm_campaign=ai-visibility-tools) | [Trustpilot](https://www.trustpilot.com/review/writesonic.com?utm_source=blastra&utm_medium=blog&utm_campaign=ai-visibility-tools) --- ### [Google Search Console](https://search.google.com/search-console/about?utm_source=blastra&utm_medium=blog&utm_campaign=ai-visibility-tools) Free | `monitoring` Some AI Overview appearance data is starting to show up in the Performance report — limited but growing. Review platform presence when we checked: 4.8/5 on both G2 (more than 1,000 reviews) and Capterra (more than 210 reviews). Users consistently praise the data accuracy and integration with the broader Google ecosystem. The complaints are about what's missing rather than what's broken — limited historical data, no real-time updates, and a learning curve for non-technical users. We didn't find Google engaging with individual reviewers, but with 1,000+ reviews and a 4.8 average, they don't need to. [G2](https://www.g2.com/products/google-search-console/reviews?utm_source=blastra&utm_medium=blog&utm_campaign=ai-visibility-tools) | [Capterra](https://www.capterra.com/p/210297/Google-Search-Console/reviews/?utm_source=blastra&utm_medium=blog&utm_campaign=ai-visibility-tools) --- ### [Ahrefs](https://ahrefs.com/?utm_source=blastra&utm_medium=blog&utm_campaign=ai-visibility-tools) Brand Radar Included in all Ahrefs plans while in beta (starting from $129/month); full AI index tracking is an add-on ($199/index or $699/all six) | `monitoring` Draws from 200M+ real user prompts (some sources report 250M+ and growing). Tracks ChatGPT, Perplexity, Google AI Overviews, Gemini, Copilot, plus YouTube, TikTok, and Reddit mentions. Brand Radar uses a static prompt library and timed snapshots rather than live monitoring, which means reported visibility can lag what's actually surfacing in AI right now. Review platform presence when we checked: 4.5/5 on G2 (close to 700 reviews), 4.7/5 on Capterra (close to 580 reviews), 4.5/5 on SourceForge. Trustpilot: 2.1/5. On G2 and Capterra, professional SEO users praise the backlink database, keyword research depth, and the new Brand Radar dataset. On Trustpilot, the reviews focus on billing friction — credit system confusion, account suspensions without warning, and auto-renewals that are difficult to cancel. Both sets of reviews appear consistent within their platforms. A buyer reading only one would form a completely different picture. [G2](https://www.g2.com/products/ahrefs/reviews?utm_source=blastra&utm_medium=blog&utm_campaign=ai-visibility-tools) | [Capterra](https://www.capterra.com/p/176340/Ahrefs/reviews/?utm_source=blastra&utm_medium=blog&utm_campaign=ai-visibility-tools) | [Trustpilot](https://www.trustpilot.com/review/ahrefs.com?utm_source=blastra&utm_medium=blog&utm_campaign=ai-visibility-tools) --- ### [Semrush](https://www.semrush.com/?utm_source=blastra&utm_medium=blog&utm_campaign=ai-visibility-tools) — AI Toolkit Part of Semrush subscription | `monitoring` `optimization` AI citation monitoring and content optimization within the broader Semrush suite. Review platform presence when we checked: 4.5/5 on G2 (more than 2,600 reviews), 4.6/5 on Capterra (more than 2,200 reviews), 4.5/5 on SourceForge (more than 6,000 reviews). Trustpilot: 2.1/5. A 2.4-point gap between G2 and Trustpilot for the same product. On G2, users praise the keyword research depth, competitor analysis, and the breadth of the suite. On Trustpilot, reviewers describe charges during free trials, cancellation requiring multiple confirmation steps, and refund requests denied citing internal policy. The AI toolkit features get positive mentions on professional platforms, but the Trustpilot profile is dominated by subscription friction. [G2](https://www.g2.com/products/semrush/reviews?utm_source=blastra&utm_medium=blog&utm_campaign=ai-visibility-tools) | [Capterra](https://www.capterra.com/p/151962/SEMrush/reviews/?utm_source=blastra&utm_medium=blog&utm_campaign=ai-visibility-tools) | [Trustpilot](https://www.trustpilot.com/review/semrush.com?utm_source=blastra&utm_medium=blog&utm_campaign=ai-visibility-tools) --- ### [HubSpot](https://www.hubspot.com/products/aeo?utm_source=blastra&utm_medium=blog&utm_campaign=ai-visibility-tools) AEO $50/month, sold separately from the rest of the HubSpot suite | `monitoring` `optimization` AI visibility monitoring, content optimization, and a growing agentic toolkit, released in April 2026 as a dedicated AEO product rather than a feature bolted onto Marketing Hub. Review platform presence when we checked: 4.5/5 on G2 (close to 50 reviews) with a Top 100 Software Products badge, earned within months of launch. Users consistently highlight two things: a clear interface, which stands out in a category where dashboards routinely overwhelm, and recommendations specific enough to act on. The recurring complaint is model coverage, with reviewers asking for more engines than the three tracked today (ChatGPT, Gemini, Perplexity). Trial terms are the other thing reviewers notice. Where many AEO tools skip the free trial entirely or cap it at 7 to 14 days, HubSpot AEO runs 28 days, followed by a $50/month subscription covering 45 prompts tracked daily across the three models. [G2](https://www.g2.com/products/hubspot-aeo/reviews?utm_source=blastra&utm_medium=blog&utm_campaign=ai-visibility-tools) ## Early Visibility Posture ### [Otterly AI](https://www.otterly.ai/?utm_source=blastra&utm_medium=blog&utm_campaign=ai-visibility-tools) Starting from $29/month | `monitoring` Similar coverage to Rankscale plus automated weekly reports and cleaner competitor comparison. Review platform presence when we checked: 4.9/5 on G2 (more than 40 reviews), G2 AEO Leader for Q1 2026, 4.8/5 on SourceForge. Early users praise the rapid iteration — from the review timelines, it appears that features requested in reviews show up in subsequent updates. The team is visibly responsive on both platforms. For a tool at $29/month, the review platform coverage is wider than tools charging three times as much. [G2](https://www.g2.com/products/otterly-ai/reviews?utm_source=blastra&utm_medium=blog&utm_campaign=ai-visibility-tools) | [SourceForge](https://sourceforge.net/software/product/Otterly.AI/?utm_source=blastra&utm_medium=blog&utm_campaign=ai-visibility-tools) --- ### [Peec AI](https://www.peec.ai/?utm_source=blastra&utm_medium=blog&utm_campaign=ai-visibility-tools) Starting from €89/month | `monitoring` 115+ languages, tracks the same query across regions and AI engines. If your market is global, this is the only tool we found that treats language as a first-class feature. Review platform presence when we checked: 5.0/5 on G2 (very low volume), 4.4/5 on Capterra, positive on SourceForge. What stands out in the reviews: users praise direct Slack access to the founding team, and several mention that the multilingual tracking actually works differently across languages — not just translation, but different AI responses per region. The limitation users note: monitoring only, no optimization guidance. Based on the reviews, the team appears upfront about this scope. [G2](https://www.g2.com/products/peec-ai/reviews?utm_source=blastra&utm_medium=blog&utm_campaign=ai-visibility-tools) | [Capterra](https://www.capterra.in/software/1076642/Peec-AI?utm_source=blastra&utm_medium=blog&utm_campaign=ai-visibility-tools) --- ### [Profound](https://www.profound.so/?utm_source=blastra&utm_medium=blog&utm_campaign=ai-visibility-tools) Starting from $99/month (meaningful plans $399+) | `monitoring` Widest range of AI engines covered, detailed citation analysis, custom reporting, strategic recommendations. G2 Leader in AEO for Winter 2026 alongside Gauge. **Update:** [Just raised $96M Series C at a $1B valuation](https://www.globenewswire.com/news-release/2026/02/24/3243475/0/en/Profound-Raises-Series-C-at-1B-Valuation-to-Lead-a-New-Category-of-Marketing.html) led by Lightspeed — the largest funding round we've seen in the AI visibility tools category. Profound now serves over 700 enterprises, including Target, Figma, Walmart, and MongoDB. Review platform presence when we checked: 4.6/5 on G2 (more than 300 reviews), reportedly 4.9/5 on Capterra (limited volume), mixed on SourceForge. No Trustpilot. Users praise the depth of analytics — specifically the ability to see which parts of your content triggered the citation. The consistent criticism: steep learning curve and dashboards that can feel overwhelming. Several reviewers note this is a tool that requires a dedicated person, not something a marketing generalist picks up in an afternoon. We didn't find vendor responses to reviews on any platform, including the negative ones. At a $1B valuation with customers like Target, Figma, and Walmart, the market has clearly validated the approach. [G2](https://www.g2.com/products/profound/reviews?utm_source=blastra&utm_medium=blog&utm_campaign=ai-visibility-tools) | [SourceForge](https://sourceforge.net/software/product/Profound/?utm_source=blastra&utm_medium=blog&utm_campaign=ai-visibility-tools) --- ### [Rankscale AI](https://rankscale.ai/?utm_source=blastra&utm_medium=blog&utm_campaign=ai-visibility-tools) Starting from ~€20/month | `monitoring` Tracks citations across ChatGPT, Perplexity, Google AI Overviews, and Copilot. Keyword-level tracking at a price point that works for startups. Review platform presence when we checked: Listed on G2 with zero reviews. 4.8/5 on SourceForge where users praise the clean interface and actionable gap analysis — specifically the ability to see which queries competitors are cited for and you're not. No Capterra or Trustpilot. The G2 profile exists but is empty — from the outside, it looks like early-stage AI tools may be investing their review-building effort elsewhere first. [SourceForge](https://sourceforge.net/software/product/Rankscale.ai/?utm_source=blastra&utm_medium=blog&utm_campaign=ai-visibility-tools) --- ### [Bing Webmaster Tools](https://www.bing.com/webmasters?utm_source=blastra&utm_medium=blog&utm_campaign=ai-visibility-tools) — AI Performance Free | `monitoring` Launched February 10, 2026 — the newest entry on this list. Shows grounding queries — what users asked Copilot and Bing AI that led to your content being cited — along with citation counts and trend data. Review platform presence when we checked: Modest Capterra profile (4.4/5, close to 26 reviews) and a SourceForge listing. No dedicated G2 profile. The Capterra reviews are mostly about the broader Webmaster Tools suite, not the new AI features — too early for those. We didn't find vendor responses to reviews on any platform, which appears consistent across Microsoft's developer tools. [Capterra](https://www.capterra.com/p/241989/Bing-Webmaster/reviews/?utm_source=blastra&utm_medium=blog&utm_campaign=ai-visibility-tools) | [SourceForge](https://sourceforge.net/software/product/Bing-Webmaster-Tools/?utm_source=blastra&utm_medium=blog&utm_campaign=ai-visibility-tools) --- ### [AirOps](https://www.airops.com/?utm_source=blastra&utm_medium=blog&utm_campaign=ai-visibility-tools) Custom pricing (free tier available) | `optimization` Content workflow automation for teams producing at scale. More pages with consistent quality means more surface area for AI to discover and cite. Review platform presence when we checked: 4.6/5 on G2 (more than 80 reviews). Capterra listing exists but empty. Not reviewed on SourceForge. No Trustpilot. Reviewers consistently point in the same direction: powerful once you learn it, but the learning curve is steep. Reviewers describe it as a tool that becomes indispensable after mastery — or gets abandoned before reaching that point. G2 presence is solid for a tool with custom pricing, but with empty profiles elsewhere, the visibility posture is uneven. [G2](https://www.g2.com/products/airops/reviews?utm_source=blastra&utm_medium=blog&utm_campaign=ai-visibility-tools) | [Capterra](https://www.capterra.com/p/10018640/AirOps/?utm_source=blastra&utm_medium=blog&utm_campaign=ai-visibility-tools) ## Minimal Visibility Posture ### [Gauge](https://www.usegauge.com/?utm_source=blastra&utm_medium=blog&utm_campaign=ai-visibility-tools) Starting from $99/month (enterprise custom) | `monitoring` Goes beyond tracking whether you're cited — analyzes *why* you're cited. GEO score benchmarking. G2 Leader in AEO (Answer Engine Optimization — G2's official category name for what many still call GEO) for Winter 2026. Review platform presence when we checked: [G2 Leader](/all-software-awards-and-badges/g2-grid-leader/) badge but minimal review volume. Not on Capterra. SourceForge listing with no reviews. No Trustpilot. G2 Leader badge with almost no reviews suggests the category (AEO) is new enough that low volume can still earn leadership positioning. [G2](https://www.g2.com/products/gauge?utm_source=blastra&utm_medium=blog&utm_campaign=ai-visibility-tools) --- ### [Am I On AI](https://amionai.com/?utm_source=blastra&utm_medium=blog&utm_campaign=ai-visibility-tools) Starting from $100/month (free trial available) | `monitoring` Spot-checks whether AI systems mention your brand. Their case studies cite a B2B SaaS user whose ChatGPT visibility went from 9% to 16% after following the recommendations. Review platform presence when we checked: a SourceForge listing only — no G2, Capterra, or Trustpilot — which signals the tool is early. [SourceForge](https://sourceforge.net/software/product/Am-I-on-AI/?utm_source=blastra&utm_medium=blog&utm_campaign=ai-visibility-tools) --- ### [Productrank.ai](https://productrank.ai/?utm_source=blastra&utm_medium=blog&utm_campaign=ai-visibility-tools) (by Gauge) Free | `monitoring` Instant AI visibility score for SaaS products. Enter your product, get a score. Built by the Gauge team as a free entry point to AI visibility tracking. Review platform presence when we checked: Not listed on G2, Capterra, SourceForge, or Trustpilot. --- ### [Blastra](/) Service-based | `presence` Yes, we put ourselves on a list we composed. [SaaS listings management](/glossary/software-listings-management/) — helps SaaS companies establish and maintain presence across directories and review platforms. Review platform presence when we checked: 5.0/5 on G2 (3 reviews). SourceForge profile with no reviews. No Capterra listing. And an unclaimed Trustpilot profile we didn't know existed until we did this research — a company that tells vendors to check their review platform presence, discovering its own unclaimed profile the same week it's releasing a visibility posture agent. Three reviews is barely a start. Calling it a visibility posture would be generous. We'd love to respond to our G2 reviewers, but responding requires a paid plan we don't have — so we'll say it here: thank you. Well, nobody's perfect. [G2](https://www.g2.com/sellers/blastra?utm_source=blastra&utm_medium=blog&utm_campaign=ai-visibility-tools) | [SourceForge](https://sourceforge.net/software/product/Blastra/?utm_source=blastra&utm_medium=blog&utm_campaign=ai-visibility-tools) ## What Each Platform Shows No single platform tells the full story. What emerged from checking all four is how they complement each other. **G2 and Capterra** surface product quality — how the tool works, what users like, where it falls short functionally. The reviews tend to come from professional users evaluating the tool for its intended purpose. For established tools like SE Ranking, Ahrefs, and Semrush, this is where you find hundreds of detailed [reviews](/guides/how-to-get-g2-capterra-reviews/) with specific use cases. **[Trustpilot](/guides/how-trustpilot-recognition-works/)** surfaces the customer experience — billing, cancellation, support. The Ahrefs and Semrush splits above (~4.5 on G2, ~2.1 on Trustpilot for both) make the gap concrete: G2 and Trustpilot are measuring different parts of the relationship, and a buyer checking only one would miss the other half. For consumer-facing tools like Writesonic (more than 5,800 Trustpilot reviews), this platform carries more weight; for enterprise tools, the signal is thinner. **[SourceForge](/guides/how-to-earn-sourceforge-badges/)** is interestingly where newer AI visibility tools show up first. Rankscale, Otterly, Peec — their strongest review profiles are on SourceForge, not G2 or Capterra. The barrier to entry is lower, and for early-stage tools building initial social proof, it's often the first platform with actual reviews. G2 has actively recognized the AI visibility explosion — new award categories like Best Agentic AI Products for 2026, a new [AI-focused CPTO](/blog/alexis-zheng-g2-cpto/). But SourceForge is also attracting the next generation of AI tools, with a growing body of early reviews. **Engagement patterns** vary across platforms and appear to track company stage. From what's visible, SE Ranking, Otterly, and Peec [respond to reviewers](/guides/how-to-handle-software-reviews/). We didn't find responses from Google, Microsoft, or Profound. Ahrefs and Semrush appear to engage on G2 and Capterra but not Trustpilot. Whether a [vendor](/glossary/vendor/) responds — and where — is itself a signal. For what consistent cross-platform engagement looks like at enterprise scale, see [how TeamViewer responds across 8+ platforms](/blog/from-the-trenches-alvaro-padilla-teamviewer/). If your tool should be on this list, your data needs updating, or you'd like to use this post to respond to your reviewers for free — [reach out](mailto:katya@blastra.io). --- *Ratings and pricing verified as of February 2026 from vendor websites and review platforms, with the HubSpot AEO entry added in August 2026. Verify current pricing directly with vendors.* --- ## Related Reading - [How AI Recommends SaaS: The Consensus Pattern Most GEO Advice Misses](/blog/ai-search-consensus-pattern-saas-recommendations/) — How AI evaluates sources differently than Google - [B2B Software Directories & AI SEO Strategy for SaaS](/blog/b2b-software-directories-ai-seo-strategy/) — How directories fit into AI's retrieval patterns - [Directory Strategy as a Competitive Moat](/blog/directory-strategy-competitive-moat/) — Building lasting advantage through strategic directory presence - [Software Directories That Actually Reach Latin America](/blog/software-directories-latin-america/) — Regional coverage when your AI visibility strategy needs LATAM-specific sources - [Introducing Visibility Posture](/blog/introducing-visibility-posture-alpha/) — What your directory presence actually looks like, assessed by our AI agent - [SaaS SEO AI Tools Stack: The Best Software for Modern Search Visibility](/blog/saas-seo-ai-tools-stack/) — Tools for traditional SEO alongside AI visibility --- ## FAQ ### What are the main categories of AI visibility tools for SaaS? Two categories dominate: **monitoring tools** that track whether AI systems mention your brand (Otterly, Peec, Profound, Rankscale, Gauge, Ahrefs Brand Radar, Semrush AI Toolkit, SE Ranking's AI Visibility, Google Search Console, Bing Webmaster Tools), and **optimization tools** that help structure content so AI systems cite it (Frase, Surfer SEO, Writesonic, AirOps). Some platforms combine both, including Semrush's AI Toolkit and HubSpot AEO. A third, narrower category is **presence tools** that manage your listings across directories AI systems pull from. ### Why do established SEO tools often have lower Trustpilot ratings than G2 ratings? G2 and Capterra reviews tend to come from professional users evaluating the tool for its intended purpose — keyword research, content optimization, SEO auditing. Trustpilot reviews tend to come from users who hit billing friction — cancellation difficulty, credit systems they didn't understand, auto-renewals. Ahrefs and Semrush both show roughly 4.5 on G2 and 2.1 on Trustpilot. Same product, different lens. ### Which AI visibility tools have the strongest review platform presence? The established SEO suites dominate on volume. SE Ranking shows strong cross-platform presence (4.8/5 on G2 with 1,400+ reviews, 4.7/5 on Capterra, 4.3/5 on Trustpilot). Frase and Surfer SEO both show 4.8+ on G2 and Capterra. Writesonic has the largest overall review volume (more than 5,800 Trustpilot reviews alone). Among the AI-native tools, Profound has 300+ G2 reviews and just raised $96M Series C at a $1B valuation. ### Where do newer AI visibility tools tend to build their first reviews? SourceForge. Rankscale, Otterly, Peec, and several other early-stage AI visibility tools have stronger review profiles on SourceForge than on G2 or Capterra. The barrier to entry on SourceForge is lower, and for tools building initial social proof, it's often the first platform with real review volume. ### Are free AI visibility tools worth using? Google Search Console (free) and Bing Webmaster Tools (free) both report some AI search data — GSC's Performance report now shows limited AI Overview appearance data, and Bing Webmaster launched AI Performance features in February 2026 showing grounding queries and citation counts. Both are useful but narrow. Productrank.ai (free, by the Gauge team) gives an instant AI visibility score for SaaS products. None of the free tools match the depth of paid monitoring platforms, but they cover the basics. ### How do AI visibility tools compare by price? The category spans from free (GSC, Bing Webmaster, Productrank.ai) to custom enterprise pricing (AirOps, Profound enterprise plans). Entry-level paid monitoring starts around €20/month (Rankscale) and $29/month (Otterly). Mid-range: HubSpot AEO ($50/month after a 28-day trial), Peec (€89/month), Gauge ($99/month), Profound starter ($99/month). Enterprise plans run $199-$699 per AI index (Ahrefs Brand Radar full add-on) or custom (Profound enterprise, AirOps). ### What does "visibility posture" mean for AI visibility tool vendors themselves? The term describes how a company looks across third-party platforms — G2, Capterra, SourceForge, Trustpilot — when someone (or an AI system) checks below the surface. The irony surfaced in our analysis: tools that help companies track AI visibility often have uneven visibility postures of their own. Three G2 reviews and an unclaimed Trustpilot profile is a common pattern for early-stage entrants in this category. --- # G2's 2026 Best Software Awards and What They Say About B2B Stacks URL: https://blastra.io/blog/g2-best-software-awards-2026-stack-is-a-river/ Description: G2's 2026 Best Software Awards show 47% product turnover. Scott Brinker says the stack is a river. We tried to figure out what that means if you're a vendor swimming in it. G2 released its [2026 Best Software Awards](https://www.g2.com/best-software-companies) this week. Less than 1% of the 175,000+ vendors on G2 made the list. 47% of the top 100 products are new compared to last year. On the company side, 34% turnover. 47% turnover means the grid reshuffles every quarter. We built a little game inspired by how software review grids work — see how fast the landscape shifts: Scott Brinker picked up the data and ran with it. We liked it and ran after him. If you don't know Brinker — he's the person who started putting martech logos on a slide back in 2011. About 150 of them. The slide became legendary. It grew every year. The 2025 version has 15,384 logos on it and it's completely unreadable, which is sort of the point. He spent eight years as VP of Platform Ecosystem at HubSpot, left last summer, and now writes [chiefmartec](https://newsletter.chiefmartec.com/) — still one of the sharpest reads on how the software market actually works. His [latest piece](https://newsletter.chiefmartec.com/p/context-is-gravity-in-an-expanding-not-dying-software-universe) connects the G2 awards to a bigger pattern. Zylo's 2026 SaaS Management Index shows the average organization running 305 applications and spending $55.7 million a year on SaaS — up 8%. But the total number of apps barely changed. What changed is which apps. Organizations are bringing in eight new tools a month and churning out roughly the same number. The stack looks the same size. It's made of different stuff. His line: "The stack is a river, not a lake." Same water level, completely different water. Brinker makes a distinction that matters: not everything in the stack is equally fluid. Some tools flow through. But some products become platforms — they accumulate data, integrations, workflows, the institutional knowledge of how a company operates. HubSpot, Salesforce, Databricks hold the center while the tools around them churn. His argument is that the platforms that win will be the ones that open up to the ecosystem rather than trying to out-feature everyone. It's a sharp analysis from the buyer side — who's buying, what stays, what flows. We kept thinking about it from the vendor side. We're in this river too. And we ended up somewhere a bit silly, but stay with us. --- ## OK So If the Stack Is a River, Then What Are We? If the stack is a river and the tools flow through it, then the tools are... fish? And if you're a software vendor, you're one of those fish. According to G2, there are 175,000+ of us swimming in there. And we actually want to get caught. Buyers are on the bank, looking into the water, trying to find the right tool to pull into their stack. We want them to reach in, see us, and pick us. That's a strange fish. But that's what a vendor is. The water is murky, and the fish are laying eggs — four of the top seven fastest-growing products on this year's G2 list are AI-native (Retell AI, Synthflow, Perplexity, SuperAGI), with n8n riding the same wave. Most of those eggs won't survive, but the ones that hatch grow fast. In the marketing and sales slices, Brinker found 57% turnover on the best-of lists. --- ## Where the Water Clears Up Directories and review sites — G2, Capterra, Gartner Peer Insights, TrustRadius, SourceForge — are the spots in the river where the water clears up. Where products have profiles, reviews accumulate, and buyers can actually see what's swimming. Try finding a specific B2B tool through a Google search sometime. These are the clear patches. And they're consolidating. "Capterra, Software Advice, and GetApp are now part of G2" — that's from the awards press release, present tense, done. We've been [tracking this acquisition](/blog/g2-capterra-acquisition-closed/) since it was announced. The biggest clear patch just absorbed three others. G2's CMO Alex London calls this the "answer economy" — AI-first software discovery. They're hiring a VP of Growth & Buyer Experience whose job description includes making G2 the top citation source in LLMs. The clear patches are becoming where AI looks too. --- ## The Fish That Jump (and Splash Back In) The Best Software Awards are the fish that jump out of the water from a clear patch. Spectacular — everyone on the bank sees them mid-air. It's the best thing that can happen to a fish in the river: visible, in a clear spot, and for a moment above the surface entirely. But 47% of the fish that jumped last year didn't jump this year. Different fish are jumping now. That's the harsh reality of being a fish. --- ## Fish Don't Usually Have Marketing Strategies But here we are. The current sweeps you through the clear patches too. Your G2 profile needs fresh reviews or other fish outshine you. Quarterly Grid placements reset. [Badges have eligibility windows](/guides/how-to-earn-g2-badges/). You can be visible one quarter and gone with the river the next. Jumping is spectacular but temporary. A smarter strategy is to be visible in as many clear patches as possible — reviews on G2, a profile on Capterra, presence on Gartner Peer Insights, TrustRadius, SourceForge. Each one a spot where a buyer might peer into the water. This is where the metaphor breaks, honestly — fish can have marketing strategies (apparently), but they can't be in many places at once. A vendor can. --- ## What the 47% Actually Tells You Brinker is right — the stack is a river. From the bank, the interesting question is about platforms and context and what holds the center stable. From inside the water, it's simpler. No amount of directory presence makes you a good fish, by the way. Your product does that. A strong product is what keeps you in someone's stack after they've caught you. A bad product with great reviews is just a fish that gets thrown back. But a good fish in murky water doesn't get caught either. *P.S. For those few who clicked with the headline — yes, this is what you thought: [How Much Is the Fish?](https://www.youtube.com/watch?v=cbB3iGRHtqA) Drop me a line and let's hug: ceo@blastra.io* --- ## Related Reading - [25 Software Badges That Should Matter More Than a Reddit Thread](/blog/software-badges-decoded-ai-trust-signals/) — We decoded 25 badges across 6 platforms. AI cites Reddit but ignores badges. Here's what each one actually requires. - [All Software Awards and Badges](/all-software-awards-and-badges/) — The full directory of badges from G2, Capterra, SourceForge, TrustRadius, PeerSpot, and Gartner Peer Insights. - [G2 Badges Guide](/guides/how-to-earn-g2-badges/) — How to earn G2 badges in 2026, including the new Best Agentic AI and Best ERP award categories. - [How G2 Is Building G2.ai Into an Expertise Marketplace](/blog/what-is-g2-ai/) — While the awards celebrate the expanding stack, G2 is prototyping its own AI-workflow platform at ai.g2.com. --- *G2's 2026 Best Software Awards were announced on February 18, 2026. Source: [G2 press release](https://www.prnewswire.com/news-releases/g2-announces-2026-best-software-award-winners-302691607.html). Brinker's analysis: [Context Is Gravity in an Expanding Software Universe](https://newsletter.chiefmartec.com/p/context-is-gravity-in-an-expanding-not-dying-software-universe).* --- # Who Owns Your Software Reviews? What the Fine Print Actually Says URL: https://blastra.io/blog/who-owns-your-software-reviews/ Description: We read the Terms of Service for G2, Capterra, TrustRadius, SourceForge, and Gartner Peer Insights. Here's what B2B software vendors can and can't do with their own reviews. > **Editorial note:** This post covers Capterra's content policies as they existed under Gartner Digital Markets ownership. [G2 acquired Capterra in early 2026](/blog/g2-acquires-capterra-gartner-digital-markets/), and terms may evolve under the new ownership. We'll update this post as policies change. ## TL;DR Your customers write them. The platforms own (or control) them. As the vendor being reviewed, you're a third party with conditional access. We read the actual Terms of Service for G2, Capterra, TrustRadius, SourceForge, and Gartner Peer Insights to find out exactly what you can do with your own reviews — on your website, in sales decks, on social media, and in ads. The short answer: it depends entirely on which platform, and some of the rules are stricter than you'd expect. Understanding these rules is essential to any serious review marketing strategy. ## Your Customer Wrote It. So Who Owns It? When a customer takes 15 minutes to write a detailed review of your product, it feels like something that belongs to you — or at least to them. After all, it's about *your* software, written by *your* customer, based on *their* experience. But the moment they click "Submit," the ownership picture changes. Every review platform has Terms of Service that define who controls that content, what can be done with it, and under what conditions. Most vendors never read those terms. We did. What we found is a spectrum. On one end, the platform claims outright ownership of submitted content. On the other, the reviewer technically retains ownership — but the platform takes a license so broad that the distinction barely matters. Either way, the vendor being reviewed has the least control over content that directly affects their sales. ## What Each Platform Actually Claims Here's what we found when we read the legal terms. ### [G2](/directories/g2/): Extensive Platform Control G2 exercises extensive control over submitted content. In our reading of their Community Guidelines, reviews are treated as G2-controlled, with the platform holding broad rights over how they can be used and distributed — though the requirement for reviewer consent before republishing suggests reviewers retain some residual interest. What vendors *can* do depends on their plan tier. G2's Community Guidelines break it down: - **Free plans:** Reference rankings, aggregated star ratings, and the "Users Love Us" badge — all with attribution and backlinks to G2. - **Starter plan:** Access report-based badges and review display widgets. - **Professional plan or above:** Republish actual customer reviews — but only with a backlink to the original review on G2, and only if the customer has opted in to having their review used. What vendors *can't* do: republish G2 content without proper licensing and attribution. Even with a qualifying plan, all uses require backlinks and proper credit to G2. Basic social proof signals are free. But if you want to quote an actual customer review — the specific words your customer wrote — you need Professional tier, and you need that customer's explicit consent. G2 requires that the reviewer opt in before their review can be republished — though G2 doesn't publicly document how that opt-in works in practice. If you're unsure whether a reviewer has opted in, contact your G2 account manager. Based on the published terms we reviewed, that consent layer is the only per-review customer consent requirement among the five platforms. ### [Capterra](/directories/capterra/) (Formerly Gartner Digital Markets, Now G2): The Reviewer "Owns" It, But Gartner Controls It Capterra was part of Gartner Digital Markets until [G2 acquired it in early 2026](/blog/g2-acquires-capterra-gartner-digital-markets/). The terms below reflect the Gartner-era policies still in effect — though they may evolve under G2 ownership. Capterra's ownership structure is more nuanced. The reviewer retains authorship, but grants Gartner Digital Markets a perpetual, worldwide, irrevocable, exclusive, royalty-free license with full copyright enforcement rights. That word "exclusive" is worth pausing on. It means that even though the reviewer technically wrote the review, the platform holds the exclusive right to enforce the copyright. In our reading, this could represent a stronger form of control than G2's model — the original author has signed away their own enforcement rights while nominally retaining authorship. **Note:** This is our interpretation of the license language, not a legal determination. The practical difference between "exclusive license" and "ownership" may vary depending on jurisdiction and circumstances. For vendors, though, Capterra is actually more permissive than G2: any vendor can quote reviews for free, as long as they follow the compliance rules below. No paid tier required. The usage rules are detailed and actively enforced. The Gartner Digital Markets Content Compliance Policy requires that any quoted review appears *exactly* as it does on the source site — no corrections, no revisions, not even fixing a typo unless the vendor emails the compliance team and gets written approval first. Every use must include a specific legal disclaimer, link back to the source, and comply with formatting rules down to the size of the Capterra logo relative to the vendor's own logo. One rule that catches vendors off guard: reviews cannot be used as a competitive weapon. Quoting a review of a competitor's product — even a published, public review — violates the policy and can result in a quote ban of up to three months. Note: Capterra doesn't charge vendors separately for the right to quote reviews. Any vendor — basic or upgraded — can use review content in their marketing as long as they follow the Content Compliance Policy. The cost here is operational (compliance overhead), not financial. This is one area where G2 and Capterra differ significantly for vendors evaluating where to focus review efforts. ### [TrustRadius](/directories/trust-radius/): Non-Exclusive, But Paywalled for Vendors TrustRadius takes a non-exclusive, perpetual, irrevocable, royalty-free, worldwide license with sublicensing rights through multiple tiers. The platform can modify, create derivative works, and distribute the content. Reviewers waive moral rights. The interesting part is on the vendor side. TrustRadius explicitly sells the right to use your own reviews through Content Licensing — their TrustQuotes product. Vendors with an active license can use review content and variations as long as TrustRadius is cited and there's a link back to the original review. Without an active license, even basic use of review content is restricted to personal or internal business use under the general Terms of Use. TrustRadius is explicit about the commercial structure: the reviews about your product exist on their platform, and if you want to use them on your website, in your emails, or in your sales materials, you pay for a content license. TrustRadius isn't the only platform that paywalls review usage — [G2 requires a Professional plan or above](/blog/g2-capterra-vendor-pricing-compared/) before vendors can republish reviews. The difference is in the packaging: G2 bundles republishing rights into their tiered subscription model, while TrustRadius sells content licensing as a distinct, named product. ### [SourceForge](/directories/sourceforge/) (Slashdot Media): Broad License, Less Enforcement SourceForge's parent company, Slashdot Media, grants itself a worldwide, non-exclusive, sub-licensable, assignable, royalty-free, perpetual, irrevocable right to use, reproduce, distribute, adapt, and create derivative works from any user-submitted content. Users retain ownership of their copyrights and trademarks. In practice, SourceForge's terms are broad, but without a published Content Compliance Policy, enforcement is at least less documented — and appears less structured — than G2 or Capterra's. The terms still apply, but the policing infrastructure isn't comparable. ### [Gartner Peer Insights](/directories/gartner-peer-insights/): Gartner's IP, Gartner's Rules Gartner Peer Insights reviews are governed by Gartner's Content Compliance Policy, which treats them under the Gartner content usage framework. The policy mirrors the strictness of the Capterra compliance rules (both being Gartner properties). For a broader look at how the platform is structured and what it takes to earn a placement there, see our guide to [how Gartner Peer Insights actually works](/guides/how-gartner-peer-insights-actually-works/). The rules: verbatim quotes only — no paraphrasing, no summarizing. Reviews must be from within the last 12 months to be used in external marketing. Link-back and disclaimers required. No competitive use. No implying endorsement. And the same enforcement mechanism: violations can result in quote bans or penalties applied to your vendor profile. ## The Pattern: Three Parties, One Power Structure Across all five platforms, the same dynamic plays out. Three parties are involved in every review: the reviewer who writes it, the platform that hosts it, and the vendor being reviewed. In every case, the power flows the same direction. The reviewer creates the content but gives up meaningful control at submission. The platform takes ownership or a license broad enough to be functionally equivalent. The vendor — the one whose product is being reviewed, the one whose business is most directly affected by what that review says — sits in third position with conditional, rule-bound access. Think about how unusual this is compared to other industries. If a customer leaves a testimonial on your website, you can use it in your marketing (with their permission). If they leave a video review on their own YouTube channel, they control it. But software reviews on directories sit in a middle ground where neither the customer nor the vendor controls the asset — the platform does. ## What You Can Do With Them: Platform by Platform Here's the practical breakdown for when you want to use reviews on your website, in social media, in sales decks, or in advertising. ### On Your Website **G2:** Allowed with Professional plan or above. Must link back to the original review on G2.com, and the customer must have opted in. All uses require attribution. **Capterra:** Allowed. Must use verbatim text exactly as it appears on the site. Must include the required legal disclaimer. Must link back to the source review or listing page. **TrustRadius:** Allowed with an active Content Licensing subscription. Must cite TrustRadius and link back to the original review. Without a license, usage is limited to personal or internal business use. **SourceForge:** No published vendor content policy. General ToS applies. Best practice: attribute and link back. **Gartner Peer Insights:** Allowed under the Content Compliance Policy. Verbatim quotes only. Reviews must be less than 12 months old for external marketing. Disclaimers required. ### In Sales Decks and Presentations **G2:** Reviews allowed with Professional plan or above (customer opt-in required). Grid placements and report data require Content Subscription or à la carte license. All uses require backlinks and attribution. **Capterra:** Allowed with verbatim text, proper disclaimers, and attribution. Cannot be included in corporate boilerplate. **TrustRadius:** Requires Content Licensing subscription. TrustQuotes for Salesforce is specifically designed for this use case. **SourceForge:** No specific vendor policy. General ToS applies. **Gartner Peer Insights:** Allowed under Content Compliance Policy with verbatim quotes, disclaimers, and attribution. Cannot imply endorsement. ### On Social Media **G2:** Allowed with Professional plan or above. Customer must opt in. Must include attribution and backlink. **Capterra:** Allowed with proper disclaimers and attribution. If there's a true character limitation (like on X/Twitter), you can skip the disclaimer if you link to something that hosts it in full. **TrustRadius:** Requires active license. Must cite TrustRadius and link back. **SourceForge:** No specific policy. Attribute and link. **Gartner Peer Insights:** Allowed with disclaimers per the Content Compliance Policy. Character-limited platforms get the same exception as Capterra. ### In Paid Advertising **G2:** Requires Professional plan or above. Customer opt-in and attribution rules apply. **Capterra:** Allowed with compliance. Disclaimers required. **TrustRadius:** Requires Content Licensing subscription. **SourceForge:** No specific vendor ad policy. **Gartner Peer Insights:** Allowed under compliance policy. No endorsement implications. ### One Thing No Platform Allows No platform lets you use reviews as a weapon against a competitor. The Gartner properties (Capterra and Peer Insights) are explicit about this — using a competitor's review content to criticize them violates the compliance policy. In our reading, G2 and TrustRadius's terms don't include the same explicit prohibition, but using another vendor's reviews adversarially would still violate the spirit of most Terms of Service. ## What This Means for Your Review Strategy If you're investing in generating reviews — running campaigns, asking customers, offering incentives where allowed — it's worth understanding that you're building an asset on someone else's property under someone else's rules. Directory reviews are among the most valuable [third-party signals](/glossary/visibility-posture/) for buyer trust, [AI search visibility](/blog/b2b-software-directories-ai-seo-strategy/), and organic discoverability. They matter precisely because they live on independent platforms, not on your website where you control the narrative. But it does mean your review strategy should account for the terms governing each platform. A few practical implications: **Know before you publish.** Before quoting a review in your next campaign, check the specific content policy for that platform. The rules differ enough that what's allowed on TrustRadius (with a license) could get you a compliance warning on Capterra. **Budget for access.** If TrustRadius reviews are important to your sales process, the Content Licensing cost is a real line item. If G2 reviews matter, you'll need at least Professional tier to republish them — and you'll need customer consent for each review you use. **Diversify where your reviews live.** When all your reviews are on a single platform, you're dependent on one company's terms, pricing, and enforcement decisions. No single platform's policy change should be able to restrict your access to review content you need for marketing. **Keep records.** Save review content, dates, and attribution details. If terms change or platforms merge (as they do — G2 [recently acquired](/blog/g2-acquires-capterra-gartner-digital-markets/) several Gartner Digital Markets properties), having your own records means you're not scrambling. **If you're already out of compliance.** If you've been using review content without meeting a platform's requirements, most platforms have a process for addressing violations. Reach out proactively — removing non-compliant uses and contacting the platform directly is typically better than waiting for enforcement. --- ## FAQ ### Can I use my G2 reviews on my website? Yes, with a G2 Professional plan or above. Requires customer opt-in and backlink to original review. Star ratings and badges available on lower tiers; republishing review text requires Professional. ### Can I screenshot G2 reviews for sales decks? Yes, with Professional plan or above. Requires customer opt-in, backlink, and attribution. Report data or Grid placements require Content Subscription or à la carte license. ### Can I use my G2 reviews in paid advertising? Yes, with Professional plan or above. Same rules: customer opt-in, backlink, attribution. Report data or Grid placements in ads require Content Subscription. ### Can I use Capterra reviews in paid advertising? Yes, for free. Use verbatim text, include required disclaimer, link to source. Unlike G2, Capterra doesn't charge for quoting reviews. ### Can I quote TrustRadius reviews on social media? Only with Content Licensing subscription (TrustQuotes). Without it, use is restricted to internal business purposes. Licensed use requires citation and backlink. ### Can I use SourceForge reviews in my marketing? No published policy exists — general Terms apply. Best practice: attribute and link back. Enforcement appears less structured than G2 or Capterra. ### Can I use Gartner Peer Insights reviews in sales materials? Yes, with strict rules: verbatim quotes only, reviews under 12 months old, proper disclaimers. Cannot imply Gartner endorsement. ### Can I use a competitor's reviews in my marketing? No. All platforms prohibit this. Gartner properties (Capterra, Peer Insights) explicitly ban competitor review usage — violations result in quote bans. ### Do I need to pay to use my own reviews? Depends on platform. G2: Professional plan required. TrustRadius: Content Licensing required. Capterra: free with compliance. SourceForge: no specific policy. --- **Sources** (all accessed February 16, 2026) - [G2 Community Guidelines](https://legal.g2.com/community-guidelines) - [Capterra Content Compliance Policy](https://www.capterra.com/legal/content-policy/) - [Gartner Digital Markets Content Compliance FAQs](https://www.capterra.com/legal/faq/) - [TrustRadius Terms of Use](https://www.trustradius.com/static/terms-of-use) - [TrustRadius TrustQuotes Terms and Conditions](https://www.trustradius.com/static/trustquotes-for-salesforce-terms-and-conditions) - [Slashdot Media Terms of Use (SourceForge)](https://slashdotmedia.com/terms-of-use/) - [Gartner Content Compliance Policy](https://www.gartner.com/en/about/policies/content-compliance) - [Gartner Peer Insights Vendor Resources – Review FAQs](https://gpivendorresources.gartner.com/en/articles/6812622-review-faqs) --- **Related reading:** - [B2B Software Directories & AI SEO Strategy for SaaS](/blog/b2b-software-directories-ai-seo-strategy/) - [G2 Is Buying Capterra, GetApp, and Software Advice](/blog/g2-acquires-capterra-gartner-digital-markets/) - [G2 vs Capterra Vendor Pricing Compared](/blog/g2-capterra-vendor-pricing-compared/) - [Glossary: Visibility Posture](/glossary/visibility-posture/) - [Glossary: Software Directory](/glossary/software-directory/) --- *Disclaimer: This post is for informational purposes only and should not be construed as legal advice. We are not lawyers. The information here reflects our reading of publicly available Terms of Service and content policies as of February 2026. Terms change, interpretations vary, and your specific situation may be different. If you need legal guidance on content licensing or intellectual property, consult a qualified attorney.* --- # AI Directory Descriptions: Why It Works on G2, Capterra & TrustRadius URL: https://blastra.io/blog/why-blastra-uses-ai-for-directory-descriptions/ Description: AI is the right tool for directory descriptions: each platform demands factual, no-jargon copy. Here's how Blastra makes this work for G2, Capterra & TrustRadius. ## TL;DR - Directory descriptions are structured product documentation for buyers comparing software—and increasingly for LLMs building their understanding of what your product does - Each platform has its own guidelines that all say the same thing: no marketing jargon, just facts - Blastra's AI transforms whatever you send us into factual descriptions for SaaS directory submission - We use humans for the parts that need humans: account creation, verification, and final content review - If there's a legitimate use case for AI-generated text, this is it --- ## The Descriptions Nobody Wants to Write Here's something we've noticed: nobody gets promoted for writing great directory descriptions. It's the kind of work that's tedious, repetitive, and invisible. Each directory wants something slightly different, and yet every [software directory](/blog/what-are-software-directories/) wants the same information: what your product does, who it's for, and what makes it work. So we automated it. Yes, Blastra uses AI to generate all directory descriptions we submit on your behalf. And before you close this tab in horror, hear us out—because this might be one of the few places where AI-generated text is more appropriate than human-written copy. (For the generic category definition of [directory submission automation](/glossary/directory-submission-automation/), see our glossary. This post is about how Blastra specifically approaches it.) --- ## Every Directory Says the Same Thing: Just Facts Let's look at what the major directories say about product descriptions. (We read through all their documentation, as we love doing.) **G2** recommends describing what your product does in 250-500 words, detailing how it addresses specific challenges while highlighting notable features and benefits. Product and vendor names should match official names without added marketing terms, keywords, or trademark symbols. **Capterra's guidelines** are more explicit. Product descriptions must be unique, a true product overview, use standard spelling and grammar, and—critically—contain no marketing or subjective text. No "award-winning," no promotional language, no personally identifiable information. **TrustRadius** asks vendors to write an overview that explains the product succinctly while including keywords likely to stand out to buyers. The pattern across all of them: facts, features, use cases—formatted cleanly, no hype allowed. Structured product documentation with zero room for tone of voice (and this is why we used to hate this job prior to founding Blastra). --- ## Buyers Compare, They Don't Browse Here's what matters about directory visitors: they're in a different phase of the buyer's journey than your website visitors. Someone on your website arrived because they're already interested. They want to be sold to. They're ready for benefits, testimonials, and calls to action. Someone on a directory is comparing. They're looking at you alongside five competitors, scanning for specific functionality. Does this solve my problem? Does it integrate with what I already use? Is it in my price range? And increasingly, the "visitors" scanning directory listings are LLMs. When someone asks Claude or ChatGPT "what's a good project management tool for remote teams," the answer draws from—among other sources—what's written on G2, Capterra, and TrustRadius. AI reads these descriptions to [build consensus about what software to recommend](/blog/ai-search-consensus-pattern-saas-recommendations/), assessing which products fit specific use cases. The job is straightforward text written for comparison and machine readability. And AI is well-suited for generating multiple versions of verifiable content, formatted to different specs—which is exactly what directory descriptions require. --- ## Marketing-Speak In, Directory-Speak Out When you [work with Blastra for directory submission](/directories/submissions-and-management), you send us information about your product. This might be your website copy, a product deck, a features spreadsheet—whatever you have. (Soon we'll just scan your website and figure it out ourselves. For now, we eat what we're fed.) Our AI takes this input and translates marketing language into factual descriptions that fit directory format and guidelines. Here's what that means in practice: **Input:** "Our revolutionary AI-powered platform supercharges your sales team's productivity with cutting-edge automation" **Output:** "Sales automation software that uses machine learning to score leads and automate follow-up sequences. Designed for B2B sales teams of 10-200 people." **Important:** Our AI does not hallucinate what's NOT in the context. If you're not serving B2B sales teams of this size, we won't make it up. And you get to approve all the data that becomes the context for our AI (we use Claude, if you care). The AI removes marketing jargon ("revolutionary," "supercharges," "cutting-edge"), translates benefits into features ("AI-powered" becomes "uses machine learning to score leads"), adds specificity about use case and audience, and formats for directory requirements. --- ## What Our Humans Still Do Blastra is automating everything there is to automate. But some things still need a human—our humans, not you. **Account creation** — Each directory has its own vendor portal. We create accounts, verify email addresses, sometimes verify your business on your behalf. There are two ways to authorize us—via email forwarding or direct access. **Verification** — Platforms verify that you're authorized to manage the listing. Our team handles the back-and-forth with verification flows. **Manual copy-paste** — Some directory portals don't have APIs. (Most don't.) Someone has to log in and paste the description into the right fields, format it correctly, and submit. That someone is us. **Final content review** — Before anything goes live, our team reviews the AI-generated descriptions. They check for accuracy, catch anything the AI missed, and ensure the content describes your product correctly. **Communication with support** — What we did not foresee when we started this is the amount of support issues we'd have to handle. There's a lot of back and forth with directories on technical glitches and category placements (see our [Capterra rejection appeal guide](/guides/how-to-appeal-capterra-rejection/)). But we're happy to save you the time. Our humans handle everything that requires judgment, authorization, or physical presence in a web portal. The AI handles the repetitive transformation of marketing-speak into directory-speak across dozens of variations. You send us your materials and get listings back. --- ## What You Get When Blastra manages your directory presence, the same core information adapts to each directory's format without contradictions between listings. Descriptions stay clean—easier for buyers (and LLMs) to parse when they're comparing you with alternatives. And when your product changes, we regenerate descriptions and update them across all platforms. AI generates, humans verify, nothing goes live without our team checking it. That's the work we were built for. --- ## FAQ ### Can AI write directory descriptions for SaaS products? Yes, and directory descriptions are one of the few genuinely appropriate places for AI-generated text. Directory listings are structured product documentation for buyers comparing software — not marketing copy. Every major directory (G2, Capterra, TrustRadius) explicitly requires factual descriptions with no marketing jargon, no subjective language, no "award-winning" or "revolutionary." AI is well-suited for generating multiple factual variants formatted to different platform specs — exactly what directory submission requires across dozens of platforms. ### Why use AI for directory descriptions instead of writing them manually? Three reasons. First, each directory has slightly different format requirements (word count, field structure, category taxonomy), so the same product needs rewritten descriptions per platform. Second, platforms explicitly ban marketing language, which most vendor-written copy defaults to. Third, writing 30+ variations of the same factual description is tedious work nobody gets promoted for — meaning it rarely gets prioritized, meaning listings go stale. AI handles the repetitive transformation at scale while a human reviews accuracy before anything goes live. ### Does Blastra's AI hallucinate directory descriptions? No — the AI is constrained to the context you provide. If you send us your website copy, product deck, or features spreadsheet, the AI works from that source material. If something isn't in the context, the AI doesn't invent it. If you're not serving B2B sales teams of a certain size, we don't add that claim. You approve the source data that becomes the input context, and our team reviews all AI-generated descriptions before submission. ### What does Blastra's AI do, and what do humans do? AI handles the transformation: marketing language in, factual directory-speak out, formatted to each platform's spec. Humans handle everything requiring judgment, authorization, or manual portal work — account creation, email and business verification, copy-pasting into portals that don't have APIs (most don't), final content review before submission, and back-and-forth with directory support on technical glitches and category placements. AI scales the repetitive work; humans own the things that need humans. ### How do directory descriptions differ from marketing copy on a website? Different audiences, different phases of the buyer's journey. Website visitors already chose to look at you — they want to be sold to, ready for benefits, testimonials, CTAs. Directory visitors are comparing you against five alternatives — scanning for specific functionality, checking integrations, filtering by price. They don't want hype; they want facts. Platforms codify this: Capterra bans "marketing or subjective text" outright, G2 requires official product names with no added marketing terms, TrustRadius asks for succinct overviews with buyer-relevant keywords. ### Do AI search engines read directory descriptions when recommending software? Yes. When someone asks Claude, ChatGPT, or Perplexity "what's a good project management tool for remote teams," the answer draws from structured third-party sources — G2, Capterra, TrustRadius descriptions among them. AI systems evaluate these descriptions to [build consensus about what software fits specific use cases](/blog/ai-search-consensus-pattern-saas-recommendations/). Factual, structured descriptions help AI match your product to the right queries. Marketing-speak — "revolutionary," "cutting-edge," "AI-powered" — is noise that makes it harder for AI to categorize what your product actually does. ### Will my directory descriptions sound the same across every platform? No. Each platform has different word counts, field structures, and category conventions — the descriptions adapt to each. But they'll stay consistent factually. When your product changes, we regenerate descriptions and update them across all platforms so your pricing model, feature list, and use cases don't contradict each other across listings. [Consistency across listings](/blog/entity-consistency-ai-search-visibility/) is the signal both buyers and AI systems use to validate what your product actually does. --- ## You Might Also Like - [What Are Software Directories?](/blog/what-are-software-directories/) — Understanding the basics of directory presence - [How Directories Feed AI and SEO](/blog/b2b-software-directories-ai-seo-strategy/) — Why niche directories matter for AI discovery - [G2 & Capterra Review Guidelines](/guides/how-to-get-g2-capterra-reviews/) — Master the review collection process - [How AI Search Builds Consensus](/blog/ai-search-consensus-pattern-saas-recommendations/) — Understanding how LLMs recommend software --- --- # Capterra Pricing for Vendors (2026): Free vs Paid Plans URL: https://blastra.io/blog/g2-capterra-vendor-pricing-compared/ Description: Capterra: pay-per-click ($500/mo min). G2: subscription ($2,999/year). Side-by-side breakdown of what each pricing model unlocks for vendors. **Update (May 9, 2026):** For the current state of vendor cabinets, login URLs, and how to decide between G2 and Capterra (GDM), see our [G2 and Capterra navigation guide](/guides/how-to-navigate-g2-and-capterra/) — the canonical post-acquisition reference. This pricing breakdown remains useful for the cost details. **Update (June 3, 2026):** G2 [unified Buyer Intent](https://company.g2.com/news/g2-expands-buyer-intent-capabilities) across G2, Capterra, Software Advice, and GetApp into a single view in the G2 profile, the first real merge of the two backends and roughly the direction we expected. For a sales-led team it's a strong upgrade. On the cost question this post is about: Buyer Intent sits outside the basic Brand Professional plan as a separate paid add-on with no published price, so ask your G2 manager. More on where this heads in the [navigation guide](/guides/how-to-navigate-g2-and-capterra/). --- Capterra is free to list on. Responding to reviews is free. Earning and displaying badges is free. If you want leads through PPC, the minimum is $2/click with a $500/month budget floor. That's the short answer. Below is the full breakdown — what's free, what costs money, and how this compares to G2 (which now owns Capterra, GetApp, and Software Advice as of February 2026). ## Capterra Pricing for Vendors - **Free listing**: yes - **Respond to reviews**: free - **Earn badges**: free - **Display badges**: free - **PPC advertising**: from $2/click, $500/month minimum budget (second-price auction) - **Qualified leads (advisory)**: separate pricing tier where human advisors screen buyers before passing them to you Capterra, GetApp, and Software Advice share a backend — one profile and one PPC campaign runs across all three platforms. The snapshot below shows how each line item compares to G2. | | G2 | Capterra / GetApp / Software Advice | |--|----|------------------------------------| | **Pricing model** | Annual subscription + add-ons | Pay-per-click / pay-per-lead | | **Paid plans start at** | $299/mo or $2,999/year (first year) | $500/month PPC minimum | | **Free listing** | Yes | Yes | | **Respond to reviews** | Paid only | Free | | **Earn badges** | Yes | Yes | | **Display badges** | Mostly paid | Free | | **Competitor ads on your page** | Sponsored ads (top of profile) | Alternatives comparison (bottom of profile) | | **Review recency pressure** | Yes (public banner) | No | | **PPC advertising** | Flexible budget, no minimum | $2/click, $500/mo min, second-price auction | ## Why the Capterra–G2 Acquisition Matters for Pricing G2 [completed its acquisition](/blog/g2-capterra-acquisition-closed/) of Capterra, GetApp, and Software Advice in February 2026. Four platforms, one owner. Nothing has merged yet — separate dashboards, separate sales teams, separate pricing. G2 expresses the intention to unify the assets but we have no idea how or when integration will happen — they could keep both systems running independently for years, or focus on buyer-facing unification (reviews, taxonomy, G2.ai) before touching vendor pricing. But if they will be deciding between their subscription model and Capterra's performance model, we think subscription will win. These two sides charge [vendors](/glossary/vendor/) in fundamentally different ways, and those differences are worth understanding right now. ## Two Pricing Models **G2's model: pay for access.** Annual subscriptions (for companies under 50 employees starting at $2,999/year first year, $6,000/year on renewal) or monthly billing ($299/month) that unlock features. The things you'd expect to be basic — responding to your own reviews, displaying most [badges](/glossary/badge/) you've earned — sit behind the paywall. [Buyer Intent](/glossary/buyer-intent/) isn't included in the basic Brand Professional plan; it's a separate paid add-on, and G2 doesn't publish its price. PPC advertising is available separately, without a subscription. **Capterra's model: only pay for results.** If you want leads, you pay per click ($2/click minimum, $500/month minimum budget, second-price auction) or per qualified lead (human advisors who screen buyers for Budget, Authority, Need, and Timeline before passing them to you). The minimum PPC spend functions like a subscription in practice, but you don't need to pay anything to respond to reviews or display [badges](/glossary/badge/). (Note: Capterra, GetApp, and Software Advice share a backend — one review appears on all three platforms, one PPC campaign runs across all three. When Gartner made the merger they focused on the vendor experience, having kept all three platforms for buyers separate.) ## What G2 Locks That Capterra Doesn't **Review responses.** Your customers take the time to write a detailed G2 review. They mention something that was off, or something you've since fixed. On Capterra, you reply — free, whether you're running PPC campaigns or not. On G2, you can't reply unless you're on a paid plan starting at $2,999/year. G2's own documentation states: "G2 recommends responding to both positive and negative reviews to show buyers that you take customer feedback seriously." Solid advice, we agree it helps. We didn't pinpoint exactly when G2 moved review responses to paid tiers, but one profile we manage was able to respond to reviews in 2021 under the free tier. The shift happened somewhere in the years since. We logged into a G2 free-tier dashboard to see what's actually locked. The answer: almost everything under "Reviews." Review Activity analytics, Review Campaign Dashboard, AI-Assisted Review Collection, Respond to Reviewers, References from Reviews — all locked behind the Starter plan. The free tier lets you *have* a profile and *receive* [user reviews](/glossary/user-reviews/), but you can't respond to them or access analytics about them. **Badges.** On Capterra, you earn badges and display them — free. On G2, you can earn any badge on a free tier, but only the [Users Love Us](/all-software-awards-and-badges/g2-users-love-us/) badge (20+ reviews, 4.0+ average) can be displayed without paying. [Grid Leader](/all-software-awards-and-badges/g2-grid-leader/), [High Performer](/all-software-awards-and-badges/g2-grid-high-performer/), [Momentum Leader](/all-software-awards-and-badges/g2-momentum-leader/), and the annual Best Of badges require a paid plan to license. (See [Capterra Shortlist badge requirements](/guides/how-to-earn-capterra-badges/#badge-type-3) or the [G2 badges guide](/guides/how-to-earn-g2-badges/) for full requirements.) **Review incentives.** G2's dashboard shows you competitor incentive activity in your [categories](/glossary/categories/). In our test category, competitors had granted $1,476 in review incentives and collected 59 [incentivized reviews](/glossary/incentivized-reviews/) in the last 90 days. G2 surfaces this specifically to encourage upgrading — "Your competitors have upgraded their G2 profile. Small Businesses with upgraded G2 profiles collect **3x** more reviews." That pressure to upgrade connects to something broader about how each platform communicates with vendors through its interface. ## The UI Tells You the Business Model Here's something that's easy to miss if you're not looking at both platforms side by side. UI is a nuanced discipline. You make strong statements through placement, hierarchy, and microcopy — small choices that shape how vendors feel about their own profiles. **On G2**, visit a product profile that hasn't been reviewed recently and you'll see a yellow banner: "It's been two months since this profile received a new review." Right there on the page, visible to buyers. Next to it: a sponsored competitor ad — a rival product, placed on your profile page by G2. The call to action for visitors isn't just "Write a Review" — it's framed around recency and gaps, signaling to buyers that this profile may be stale. The solution offered to vendors is always the same: upgrade. Reviews are the core of what G2 sells to vendors. The entire upgrade path — from free tier to $2,999/year Starter to higher tiers — is built around unlocking review-related features. Capterra, which was the first B2B [software directory](/glossary/software-directory/) to introduce user reviews back in 2008 (four years before G2 even existed), treats reviews as infrastructure — the foundation that makes PPC valuable, not a product to gate. **On Capterra**, a product with zero reviews shows an empty review section with a "Write a Review!" link. Compare the microcopy: "Write a Review!" versus "It's been two months since this profile received a new review... Write a Review." One invites. The other creates context before inviting — and that context is visible to every buyer visiting your page. Capterra does show a "Top-Rated Alternatives" section further down the profile, but it's structured as a comparison grid with ratings and features — a buyer tool you might as well be winning. A sponsored competitor ad at the top of your profile offers no such comparison; the only way to remove it is to upgrade. ## PPC: Where Capterra Out-Builds G2 Capterra's PPC is genuinely well-built — more granular targeting than G2's Clicks product, with per-country and per-category bidding. The question is whether G2 will keep Capterra's PPC mechanics and maybe adapt them for G2 as well, or whether the subscription model absorbs everything. ## What's Free Today May Not Be Free Tomorrow We can guess the general direction — reviews across platforms will likely unify, given that G2 has already announced plans to combine the review databases. Beyond that, it's speculation. What isn't speculation: these pricing models are different enough that the right choice depends on what you need right now. If you want to build a profile and collect reviews without paying, Capterra gives you more for free. If you want intent data and competitive intelligence, G2 has products Capterra doesn't. The features worth watching are the ones that are free on one side and paid on the other: review responses, badge display, and the absence of competitor ads on your profile page. Those are the clearest differences between the two models — and the ones most likely to shift. This is also one more reason to [diversify your review presence](/blog/b2b-software-directories-ai-seo-strategy/) across platforms like [SourceForge](/guides/how-to-earn-sourceforge-badges/), [TrustRadius](/guides/how-to-earn-trustradius-badges/), and [PeerSpot](/guides/how-to-earn-peerspot-badges/). When 55-58% of software review visibility sits under one owner, depending on a single platform's pricing decisions is a risk you can manage. ## Sources | Source | Notes | |--------|-------| | [G2 Seller Plans](https://sell.g2.com/plans) | Official pricing page | | G2 FY26 Pricing Guide (PDF) | Detailed tier comparison | | G2 Seller Hub (my.g2.com) — free tier dashboard | Verified locked features | | [G2 Review Activity Documentation](https://documentation.g2.com/docs/review-activity) | Review response best practices | | Gartner Digital Markets vendor dashboard | Verified PPC minimum and budget estimates | | [Capterra Vendor FAQ](https://www.capterra.com/faq/faqs-vendors/) | Free features confirmation | | [G2 Acquisition Announcement](https://company.g2.com/news/g2-acquires-capterra-software-advice-getapp) | Official announcement | | [The Sale of Capterra — Vista Point Advisors](https://vistapointadvisors.com/for-founders/sell-company-pursue-priorities-passions) | Capterra founder on 2008 reviews launch | --- ## FAQ: Common Questions About G2 and Capterra Pricing ### How much does Capterra cost for vendors? Capterra is free to list on. PPC advertising starts at $2 per click with a $500/month minimum budget. Responding to reviews, earning badges, and displaying badges are all free. ### Is Capterra free to list on? Yes. Creating a profile, receiving reviews, responding to reviews, and displaying any earned badges are all free. You only pay when you opt into PPC advertising or the qualified-leads (advisory) program. ### How does Capterra pricing compare to G2? Capterra charges only for PPC leads. G2 charges an annual subscription starting at $2,999/year (first year, under 50 employees) to unlock most features — including review responses and display of most badges. As of February 2026 G2 owns Capterra, but the two pricing models remain separate. ### Can I respond to reviews on G2 without paying? No. G2 requires a paid subscription ($2,999/year minimum) to respond to reviews. Capterra offers free review responses regardless of ad spend. ### Which badges can I display for free on G2? Only [Users Love Us](/all-software-awards-and-badges/g2-users-love-us/) (20+ reviews, 4.0+ average). All other G2 badges — [Grid Leader](/all-software-awards-and-badges/g2-grid-leader/), [High Performer](/all-software-awards-and-badges/g2-grid-high-performer/), Momentum Leader, Best Of — require a paid plan. ### Are Capterra, GetApp, and Software Advice the same for vendors? Yes. All three share the same dashboard, review database, and pricing. Reviews appear across all three, and PPC campaigns run simultaneously on all platforms. ### What's the minimum spend on each platform? G2: $2,999/year (Starter tier, <50 employees), increasing to $6,000/year on renewal. Capterra: $500/month minimum PPC budget with $2/click floor price. ### Will G2 and Capterra pricing merge after the acquisition? Unknown. The acquisition closed February 2026 but integration hasn't begun. Features most likely to change: free review responses, free badge display, and competitor ad placement. --- ## You Might Also Like - [G2 and Capterra: Vendor Guide After the Acquisition](/guides/how-to-navigate-g2-and-capterra/) - Canonical post-acquisition navigation guide: cabinets, logins, where to focus reviews - [What Software Awards Actually Mean](/all-software-awards-and-badges/) - Full directory of badges across G2, Capterra, and other platforms - [How to Earn G2 Badges in 2026](/guides/how-to-earn-g2-badges/) - G2 Grid methodology, requirements, and costs explained - [How to Earn Capterra Badges in 2026](/guides/how-to-earn-capterra-badges/) - Capterra Shortlist and attribute badges decoded - [G2 Completes Acquisition of Capterra](/blog/g2-capterra-acquisition-closed/) - What the consolidation means for software vendors - [How G2 Is Building G2.ai Into an Expertise Marketplace](/blog/what-is-g2-ai/) - Where G2's product ambitions are headed beyond the directory business - [B2B Software Directories & AI SEO Strategy](/blog/b2b-software-directories-ai-seo-strategy/) - Why diversifying your directory presence matters - [G2 vs Capterra vs Trustpilot vs TechnologyMatch](https://technologymatch.com/blog/g2-vs-capterra-vs-trustpilot-vs-technologymatch-which-discovery-platform-is-best-for-it-leaders) - A buyer's perspective on which discovery platform works best for IT leaders --- --- # 25 Software Badges That Should Matter More Than a Reddit Thread URL: https://blastra.io/blog/software-badges-decoded-ai-trust-signals/ Description: Decoded: the actual requirements behind 25 software badges across G2, Capterra, SourceForge, TrustRadius, PeerSpot, and Gartner — thresholds, minimums, and why AI ignores them. When AI recommends software, it needs trust signals - something that says "this product is legitimate, people use it, it performs." [Reddit is one of the strongest sources](https://www.tryprofound.com/blog/the-data-on-reddit-and-ai-search) it has. The community catches bullshit, real users challenge marketing claims, and the language is natural enough for AI to parse immediately. A single Reddit comment carries weight because AI can understand exactly what it says and how much conviction is behind it. And Reddit is just the most visible example - AI pulls equally from forum threads, "Top 10 CRMs" affiliate blogs, vendor-written [listicles](/glossary/listicle/), and review snippets, treating them all as roughly equivalent sources regardless of whether anyone behind them verified a single claim or tested a single product. [Software directories](/glossary/software-directory/) - G2, Capterra, [SourceForge](/guides/understanding-sourceforge/), TrustRadius, PeerSpot, Gartner Peer Insights - do something far more rigorous. They verify products, scrutinize reviewers against employment records and company emails, track performance over time, and award badges when a product clears specific thresholds for review volume, rating quality, and competitive standing. A badge like SourceForge Leader means a product scored in the top 5% across 100,000+ products. A badge like Gartner Peer Insights Customers' Choice means 50+ verified reviews averaging 4.5+ over 18 months with diversity requirements across industry, company size, and region. That's exactly the kind of trust signal AI should rely on. But we've never seen an AI cite a specific badge when recommending software - never "this product earned SourceForge Leader - top 5% across 100,000+ products" or "this is a Gartner Customers' Choice winner." The directories get mentioned as sources. The badges don't. And we end up with an absurd situation where what one user said on Reddit carries more weight than 50+ [verified reviews](/glossary/review-verification/) from enterprise customers - some platforms require 600-word minimum reviews. AI isn't going to read and weigh all those reviews individually. A [badge](/glossary/badge/) is supposed to be the shorthand - the signal that represents all of that verification and effort in one mark. But right now, that signal can't be understood. Not by humans, not by AI. We know because we did it manually - went through every methodology page for every major badge program and extracted the actual requirements for [25 badges across 6 platforms](/all-software-awards-and-badges/). It meant navigating scattered documentation, inconsistent terminology, and requirements buried in support pages. Doing this for every badge on every product doesn't scale. The information exists, it's just not structured for machines to read. We built a little game inspired by how software review grids work — see how quickly a bad review can knock you down: ## Two "Leader" Badges, Worlds Apart Take two badges that share a name and both look like legitimate awards on a vendor's website. A **[G2 Leader](/all-software-awards-and-badges/g2-grid-leader/)** badge means a product landed in the top-right quadrant of the [G2 Grid](/glossary/grid/) for its category - high satisfaction scores and strong market presence. It's based on a quarterly cycle within a specific software category and requires a $2,999/year paid plan to display. In the [Spring 2026 reports](/blog/g2-spring-2026-reports/), only 3% of the 150,000+ listed products earned Leader status — down from 4% the year before. A **[SourceForge Leader](/all-software-awards-and-badges/sourceforge-leader/)** badge means a product scored in the top 5% across SourceForge's entire platform - over 100,000 products, regardless of category. It requires 25+ reviews with a 4.5+ average rating and recent review activity to maintain standing. Both say "Leader," both show up as badge images in vendor marketing, and both communicate top-tier recognition. One is category-specific and quarterly, the other is platform-wide and sustained. A buyer seeing one on one vendor's page and the other on another's has no way to know the difference. And neither does AI - so it ignores the badges and goes to Reddit for "real people" opinions, missing what could be the strongest and simplest signal right in front of it. ## Winners Already Struggle to Explain Their Own Awards You can see the opacity in press releases. When a restaurant earns a Michelin star, one sentence of context is enough - Michelin has been building that brand since 1900. Constructor - a legitimate [Gartner Peer Insights Customers' Choice](/all-software-awards-and-badges/gartner-customers-choice/) winner - included this in their January 2026 announcement: > *"Voice of the Customer reports synthesize verified feedback posted by end-users to Gartner Peer Insights. Gartner Peer Insights is Gartner's peer-driven ratings and reviews platform for enterprise IT solutions and services..."* Then the market definition, ratings summary, and three paragraphs of trademark notices and legal disclaimers. The disclaimer alone is longer than most Michelin star press releases. If the winners themselves have to dedicate that much space to explaining the award, the badges clearly aren't doing the communicating on their own. ## Directories Are in the Best Position to Fix This Directories already do the hard part - verifying products, scrutinizing reviewers against employment records and company emails, tracking performance across time windows, and defining competitive thresholds. All the infrastructure for a trust signal exists. The gap is the signal itself. If badge metadata included structured information about what was required - review volume, rating threshold, competition model, verification method, time window - AI systems could weigh an 18-month enterprise validation very differently from a five-review milestone. The effort behind rigorous badges would finally carry proportional weight in the channel that's increasingly shaping how software gets discovered. Until that happens, we built the reference layer ourselves. We extracted the actual requirements, verification methods, competition models, display costs, and renewal criteria for every badge type across all six platforms and rated each one for rigor - from basic milestone to enterprise-scale validation - so that buyers and AI systems have a structured way to understand what a badge actually signals about the product displaying it. The full directory: **[What Software Awards Actually Mean](/all-software-awards-and-badges/)** 25 badges across 6 platforms, each one decoded and rated for effort. And if you work at a directory and want to talk about making badge signals more readable - we'd love to chat: [ceo@blastra.io](mailto:ceo@blastra.io). --- ## FAQ: Common Questions About Software Badges ### Why don't AI systems cite software badges in recommendations? Badges lack structured metadata AI can parse. The same name ("Leader") means different things across platforms — G2 Leader is category-specific, SourceForge Leader is platform-wide across 100,000+ products. AI defaults to Reddit because it can parse that language clearly. ### What makes some badges harder to earn than others? Difficulty varies by badge type. Milestone badges require review thresholds (e.g., 20 reviews). Competitive badges require outperforming category alternatives. Platform-wide badges compete against all products. Enterprise badges require verified $50M+ company reviews over 18-month windows. ### Do badge requirements change over time? Yes. Platforms update methodologies, thresholds, and display rules. G2 now requires paid subscriptions ($2,999+/year) to display badges. Our badge directory includes last-verified dates. ### Which platforms have the most rigorous badge programs? [Gartner Peer Insights](/guides/how-gartner-peer-insights-actually-works/) is most stringent — Customers' Choice requires 50+ verified enterprise reviews over 18 months with diversity requirements. [SourceForge](/guides/how-to-earn-sourceforge-badges/) competes platform-wide against 100,000+ products. [G2](/guides/how-to-earn-g2-badges/) and [Capterra](/guides/how-to-earn-capterra-badges/) are category-specific with lower thresholds. --- ## You Might Also Like - [Design Partners Trust the Founder. Strangers Trust Other Buyers.](/blog/from-the-trenches-ami-burstin/) - A fractional CMO on why peer trust signals matter before the first cold meeting - [What Software Awards Actually Mean](/all-software-awards-and-badges/) - Full directory of 25 badges across 6 platforms, decoded and rated for effort - [B2B Software Directories & AI SEO Strategy for SaaS](/blog/b2b-software-directories-ai-seo-strategy/) - How directories fit into AI-powered discovery - [How to Earn G2 Badges in 2026](/guides/how-to-earn-g2-badges/) - G2 Grid methodology, requirements, and costs explained - [How to Earn Capterra Badges in 2026](/guides/how-to-earn-capterra-badges/) - Capterra Shortlist and attribute badges decoded - [How Gartner Peer Insights Actually Works](/guides/how-gartner-peer-insights-actually-works/) - Enterprise-grade badge requirements explained - [How PeerSpot Awards Actually Work](/guides/how-to-earn-peerspot-badges/) - Tech Leader, Rising Star, and Peer Recommended criteria --- --- # G2's Acquisition of Capterra Has Closed — Here's What We Know URL: https://blastra.io/blog/g2-capterra-acquisition-closed/ Description: G2 has closed its acquisition of Capterra, Software Advice, and GetApp. The Nasdaq billboard and CEO posts tell the story. What this means for SaaS vendors. **Update (May 9, 2026):** For the current state of vendor cabinets, login URLs, and what to do as a vendor, see our [G2 and Capterra navigation guide](/guides/how-to-navigate-g2-and-capterra/). --- ## TL;DR - G2 appears to have closed its acquisition of Capterra, Software Advice, and GetApp - No formal press release yet — but LinkedIn posts and a Nasdaq billboard make it pretty clear - The deal was announced January 29 and closed roughly one week later - G2 now controls four of the biggest B2B software review platforms - The big question for vendors: what happens to Capterra's free badge program? --- ## The Deal Is Done (Probably) G2 hasn't issued a press release. There's nothing on their newsroom. But sometimes actions speak louder than PR. Yesterday, G2's official LinkedIn account posted: "We've officially closed on our acquisition" — accompanied by a photo of a Nasdaq billboard in Times Square. CEO Godard Abel followed up by welcoming "new colleagues from Capterra, Software Advice, and GetApp to G2." He mentioned visiting "offices across the globe" with the leadership team "over the past few days." The deal was [announced on January 29](/blog/g2-acquires-capterra-gartner-digital-markets/). If these posts are accurate, it closed by early February. That's roughly one week from announcement to close — fast for a deal of this size. --- ## What G2 Now Controls Let's put this in perspective. G2 now owns the four biggest B2B software review platforms: - **G2** — the largest independent software review site - **Capterra** — Gartner's flagship software directory - **Software Advice** — advisor-led software recommendations - **GetApp** — SMB-focused software discovery Combined, that's roughly **6 million verified reviews** and **200+ million annual software buyers** under one roof. For [B2B software discovery](/glossary/software-directory/), this is consolidation on a massive scale. The two major ecosystems — G2 and Gartner Digital Markets — are now one company. --- ## The Badge Question For vendors, the immediate question is what happens to [Capterra's badge programs](/guides/how-to-earn-capterra-badges/). Here's the situation: - **Capterra badges are currently free to display.** Earn them, use them. No paywall. - **[G2 badges require a paid subscription](/guides/how-to-earn-g2-badges/)** ($3,000-6,000+/year) to display publicly since Summer 2025. Whether Capterra's free badges survive under G2 ownership is the question every vendor should be asking. The 2026 Capterra awards cycle is still running — some categories have until March 31. But 2027? That's the year to watch. We wrote about this when the deal was announced: [now might be the time to earn Capterra recognition](/blog/g2-capterra-acquisition-vendor-strategy/) while it's still free. --- ## What Happens Next **Short term (next few months):** Don't expect immediate changes. Integration takes time. Gartner Digital Markets already had unified reviews across Capterra, Software Advice, and GetApp — but merging that with G2's separate ecosystem is a different project entirely. **Medium term (2026-2027):** Watch for announcements about "[unified taxonomy](/glossary/taxonomy/)," consolidated vendor dashboards, and — crucially — badge program changes. G2 has been clear about wanting to standardize everything. **Long term:** If the [predictions in our earlier analysis](/blog/g2-capterra-acquisition-what-theyre-actually-building/) hold, expect G2 to push vendors toward their paid ecosystem. The question isn't whether it happens, but how fast. --- ## What Vendors Should Do Now **1. Get your Capterra badges while you can.** If your [category is still eligible](/blog/g2-capterra-acquisition-vendor-strategy/#appendix-group-3-categories-still-eligible-march-31-2026-deadline) for 2026 badges, collect those reviews now. Free badges may not be free forever. **2. Audit your current listings.** Your presence on G2 and Capterra just became higher stakes. Make sure your [listings](/glossary/listing-or-profile/) are complete, current, and optimized. **3. Diversify your directory strategy.** G2 controlling more of the market doesn't mean you should abandon other directories. [SourceForge](/guides/how-to-earn-sourceforge-badges/), [PeerSpot](/guides/how-to-earn-peerspot-badges/), TrustRadius, and industry-specific directories still matter — arguably more now than before. **4. Watch for pricing changes.** When competition decreases, prices tend to increase. Budget accordingly for 2027. --- ## The Bigger Picture This acquisition represents the most significant consolidation in B2B software discovery in over a decade. For buyers, G2 is promising a unified experience — one taxonomy, one review corpus, AI-powered recommendations. Whether that's actually better for buyers remains to be seen. For vendors, the calculus is simpler: there's now one dominant player. Your [directory strategy](/blog/directory-strategy-competitive-moat/) needs to account for that reality. We'll continue tracking the integration as it unfolds. For now, the deal is done. The question is what G2 builds with it. --- ## Related Reading - [G2 and Capterra: Vendor Guide After the Acquisition](/guides/how-to-navigate-g2-and-capterra/) — Canonical post-acquisition navigation guide - [G2 vs Capterra Vendor Pricing Compared](/blog/g2-capterra-vendor-pricing-compared/) — Feature-by-feature breakdown of what's free and what costs money on each platform - [G2 Is Buying Capterra, GetApp, and Software Advice. That's... Interesting.](/blog/g2-acquires-capterra-gartner-digital-markets/) — Our original analysis when the deal was announced - [G2 Acquired Capterra — Get Your Capterra Badges Before They're Gone](/blog/g2-capterra-acquisition-vendor-strategy/) — Why free recognition might not last - [Inside G2's Capterra Integration: What 30 Job Postings Reveal](/blog/g2-capterra-acquisition-what-theyre-actually-building/) — What G2's job postings reveal about their plans - [How G2 Is Building G2.ai Into an Expertise Marketplace](/blog/what-is-g2-ai/) — A tour of ai.g2.com, where G2 is assembling an AI-workflow platform in the open - [Capterra Awards Guide: How to Earn Recognition in 2026](/guides/how-to-earn-capterra-badges/) — The complete guide while recognition is still free - [How to Earn G2 Badges in 2026](/guides/how-to-earn-g2-badges/) — Understanding G2's paid badge ecosystem --- --- # How AI Recommends SaaS: The Consensus Pattern Most GEO Advice Misses URL: https://blastra.io/blog/ai-search-consensus-pattern-saas-recommendations/ Description: AI evaluates sources differently than Google — consensus across reviews, Reddit, editorial coverage. Directory marketing is now an AI discovery strategy. There's a lot of conflicting advice about GEO (generative engine optimization) right now. Some say SEO is dead and AI search requires completely new tactics. Others say it's just SEO with a new name — everything that works for traditional search works for AI search too, just faster. Both perspectives feel partial. Most advice focuses on *how to beat rankings* and optimize for AI search visibility — whether that's Google's algorithm or ChatGPT's citation logic. Prompts, keywords, backlinks, authority signals, technical optimization. These things matter. But they're focused on the mechanics. **The key difference is that AI can think. Google can't.** ## What We Mean By "AI Can Think" Google is an algorithm. It measures authority by proxy: links, domain age, traffic patterns, keyword relevance. AI has something closer to an educated, smart human's judgment. Not because it's sentient, but because it *can*: 1. **Evaluate who is saying something** — [vendor](/glossary/vendor/) vs. customer vs. analyst 2. **Assess context** — promotional content vs. organic discussion 3. **Detect consensus** — do multiple independent sources agree? It's pattern recognition trained on human behavior. ## How We Know This (What We Can Document vs. What We Observe) We can't show you ChatGPT's system prompt. OpenAI hasn't published the exact rubric for how sources get weighted. But here's what we can document: - **ChatGPT's configuration files** show a "reranking model" that evaluates authority and freshness ([Source: PPC Land analysis, August 2025](https://ppc.land/chatgpt-configuration-files-reveal-sophisticated-search-ranking-mechanism/)) - **Reddit accounts for 40.1%** of LLM citations across 150,000+ analyzed responses ([Source: Visual Capitalist analysis, June 2025](https://www.visualcapitalist.com/most-cited-sources-by-chatgpt/)) - **Perplexity's own documentation** tells users to explicitly request verification from multiple sources ([Source: Perplexity Prompt Guide](https://docs.perplexity.ai/guides/prompt-guide)) Here's what logically follows from that data: - If Reddit accounts for 40% of citations, products discussed positively there have a citation advantage - If AI systems use reranking models that evaluate authority, third-party platforms ([reviews](/glossary/user-reviews/), editorial) carry different weight than vendor sites - If the system is designed to verify across sources, distributed presence matters more than concentrated presence We have academic training in research methodology. This consensus pattern across diverse source types is how humans evaluate trustworthiness. The documented citation patterns suggest AI systems trained on human behavior learned the same approach. We can't prove there's a "diversity score" in the code. But the pattern in the data is consistent enough to be actionable. ## The Third-Party Promise (That Humans Know, and AI Seems to Know Too) Here's something we've understood for decades: third-party sources are supposed to be free of bias. [Software directories](/glossary/software-directory/) promise vendor-neutral reviews. Journalists promise editorial independence. Analysts promise objective research. We know it's not always true — but the *promise* of third-party is that someone other than the vendor vouched for the claims. Now we need to process the fact that AI seems to understand this too. AI doesn't just count keywords. It can judge *how* something was said, *where* it was said, and *who* said it. Notice how often AI says "users mention that this tool..." When it says that, it knows what that means: these users are not the builders of the software. If they expressed themselves on a third-party resource (like a [software directory](/glossary/software-directory/)), the vendor had no ability to edit or cut out negative feedback. We're not saying we know exactly what AI does internally. We're rationalizing based on observed behavior and comparing it to how humans evaluate sources. And the comparison holds: AI can distinguish between a vendor claiming "we're the best" and ten verified reviewers on [Capterra](https://www.capterra.com) saying the same thing. Trustmary, which builds review collection and social proof tools, ran [their own research into how AI handles branded searches](https://trustmary.com/artificial-intelligence/ai-guide-for-growth-companies-visibility-trust-and-reviews/) and reached the same conclusion: "AI does not rely on the brand's website alone, but also shows reviews" — meaning AI answers naturally surface more social proof than the brand's own site ever could. ## How AI Actually Searches (What We See in Practice) Google searches deep — it crawls billions of pages looking for the most authoritative match for your query. AI searches *wide* — it assembles a spectrum of source types and looks for consensus across them. Here's how a smart human trained in research and analysis would actually evaluate a product. And here's what we see AI doing when we test recommendations: **"This is what the vendor says about their product."** Relevant, but biased. I won't trust this blindly. **"This is what a researcher or analyst wrote."** Better. They seem independent. **"This is what verified reviewers say on [G2](https://www.g2.com) or Capterra."** Very good. These are hard to fake because directories scrutinize every review. (Learn more about [review verification](/glossary/review-verification/) and why it matters.) **"This is what people say on Reddit and niche forums."** Interesting. This is what they talk about when the vendor isn't in the room. Now the AI has a spectrum. If all these sources are in consensus (or contradicting each other in specific ways), it can confidently make a recommendation. Or dig a bit deeper if it needs to. Or simply recommend the tools it already has high-confidence data for. ## Why Reddit Specifically Gets Weighted So Heavily If you've ever tried to post something promotional on Reddit, you know: the community is brutal. Moderators delete spam instantly. Users downvote anything that smells like marketing. You risk losing karma — Reddit's reputation metric — the moment you step wrong. Reddit communities are *self-policing.* Not perfectly, but enough. And when you look at citation patterns — Reddit accounting for 40%+ of LLM citations — it's clear AI systems have learned to trust this. When Reddit threads, [review sites](/glossary/review-platform/), and analyst coverage all say similar things about a product, that's consensus across source types that are genuinely hard to manipulate simultaneously. That pattern shows up consistently in AI recommendations. There's no published documentation saying "weight Reddit discussions at 1.5x vendor claims." But the pattern in citation data is consistent, and it matches how trained researchers evaluate source credibility. ## What This Means (And Why Most GEO Advice Skips It) If you want to appear in AI recommendations and improve your LLM visibility for SaaS, it can't be: - Just Reddit - Just technical SEO - Just PR coverage - Just directory listings - Just social proof You need **consensus across different types of channels.** This kind of distributed, verifiable presence across multiple source types — we call it **[visibility posture](/glossary/visibility-posture/).** As a vendor, you don't control your narrative anymore. What you can do is try to shape it — ideally by putting it in the words of your actual customers, on third-party platforms where AI knows you didn't edit their testimonials or cut out negative feedback. This is what most GEO (generative engine optimization) and AEO (answer engine optimization) advice skips over. ## Why Directories Are a Marketing Channel, Not Just an SEO Tactic Most B2B teams think of [software directories](/glossary/software-directory/) as an SEO checkbox — submit your listing, collect a backlink, move on. That framing misses what's actually happening. Directories are where buyers compare you to alternatives. They're where AI pulls [structured data](/glossary/structured-data/) about your product. And they're one of the few places where verified third-party opinions carry more weight than anything on your own website. That makes directory marketing a discovery strategy, not a link-building exercise. The shift from "submit and forget" to [actively managing your directory presence](/blog/what-is-saas-listings-management/) — keeping descriptions accurate, responding to reviews, earning badges — is what separates companies that show up in AI recommendations from those that don't. A stale Capterra profile with outdated screenshots isn't just bad marketing. It's a signal to AI that nobody's home. ## What To Do (The Actionable Part) ### 1. Map your current presence across source types Where do you show up right now? - **Vendor-controlled:** Your website, blog, social profiles - **Third-party editorial:** Niche media, industry trade publications, analyst firms, podcast interviews - **[Review platforms](/glossary/review-platform/):** Profiles + actual reviews on [G2](https://www.g2.com), [Capterra](https://www.capterra.com), [TrustRadius](https://www.trustradius.com), [SourceForge](/guides/understanding-sourceforge/) - **Community discussions:** Reddit threads, niche forums, Slack/Discord communities - **Data aggregators and company databases:** Wikipedia, Product Hunt, Crunchbase, and other [investor directories for startups](/directories/investors/) where VCs, angels, and corporate development teams research companies AI pulls from all of these. If you only exist in one or two categories, you're missing the spectrum. ### 2. Identify gaps in your consensus Do review sites say one thing while Reddit says another? That's a problem. AI will surface the contradiction. Are you completely absent from community discussions? That's a gap — not a tragedy until there are competitors that excel everywhere else, but still a gap. If Reddit accounts for 40% of AI citations and you're not there, you're missing a significant channel. Is all your coverage vendor-controlled? That's a trust issue. AI weights independent sources more heavily. ### 3. Distributed presence across hard-to-fake source types where the story stays consistent This is not spray and pray. This is: - **[Review platforms](/glossary/review-platform/) that verify submissions** — G2, Capterra, TrustRadius, [SourceForge](/guides/how-to-earn-sourceforge-badges/) (not random directory spam). Software directories and AI search work together when the reviews are genuine. - **Subreddits where your ICP actually hangs out** — r/SaaS, r/marketing, r/devops, industry-specific communities - **Editorial coverage from sources AI recognizes** — Niche media, industry trade publications, analyst firms - **Data platforms that aggregate company info** — Wikipedia (if you're notable enough), Product Hunt The goal is distributed presence across hard-to-fake source types [where the story stays consistent](/blog/entity-consistency-ai-search-visibility/). ### 4. Make it easy for customers to tell your story on third-party platforms Reddit won't let you post promotional content. But Reddit *will* let your customers answer questions like "what's the best tool for X?" Review platforms won't accept fake reviews. But they *will* publish verified customer experiences. Understanding [how to get authentic reviews on G2 and Capterra](/guides/how-to-get-g2-capterra-reviews/) is crucial for building this presence. We believe the shift is from "control the message" or "be the loudest" to **"earn the consensus."** ### 5. Monitor what AI actually says about you Test prompts in ChatGPT, Perplexity, and Claude: - "What are the best [category] tools for [use case]?" - "Compare [your product] to [competitor]" - "What do people say about [your product]?" See what gets cited. See what gets left out. See where the gaps are. This is your AI visibility audit. Keyword rankings matter less than whether you show up in the synthesized answer at all. ## The Strategic Shift Traditional SEO was about being the most authoritative single source. AI search is about being part of a credible *network* of sources. You can have perfect technical SEO, thousands of backlinks, and high [domain authority](/glossary/domain-rating/) — and still not get cited by AI if you only exist in vendor-controlled channels. You can have mediocre SEO but strong presence across review sites + Reddit + editorial coverage — and get recommended consistently because the consensus is clear. The game changed. Not because the old rules don't matter (they do), but because there's a new layer on top: **Can multiple independent sources confirm what you're claiming?** That's the part both armies are missing. --- ## FAQ ### What is the consensus pattern in AI search? How AI evaluates trust by looking for agreement across independent sources — vendor sites, review platforms, Reddit, editorial coverage, analyst reports. When hard-to-manipulate sources agree, AI treats it as reliable signal. ### How does AI search differ from Google search? Google searches deep for authoritative single matches. AI searches wide, assembling source types and looking for consensus. Google uses proxy signals (links, domain age). AI evaluates context and detects agreement. ### Why does Reddit get cited so heavily by AI? Reddit accounts for 40%+ of LLM citations. Its self-policing communities — moderators delete promotion, users downvote marketing, karma punishes inauthenticity — make it harder to manipulate, which AI recognizes as a trust signal. ### What is visibility posture? Your distributed, verifiable presence across source types — review platforms, community discussions, editorial coverage, data aggregators. It determines whether AI can find consensus about your product when recommending. ### How do I check what AI says about my product? Test prompts in ChatGPT, Perplexity, Claude: "What are the best [category] tools?", "Compare [product] to [competitor]", "What do people say about [product]?" Note what's cited, missing, and where gaps exist. ### How do B2B SaaS companies use directories for marketing? Directories are a marketing channel for discovery, not transactions. You build presence across platforms like G2, Capterra, and SourceForge with accurate profiles, verified reviews, and earned badges. AI and buyers both use this presence to build [shortlists](/glossary/shortlist/) — making directory marketing a strategy for being found, not just an SEO tactic. --- ## Related Reading - [25 Software Badges That Should Matter More Than a Reddit Thread](/blog/software-badges-decoded-ai-trust-signals/) — Why AI ignores badge signals and what directories could do about it - [B2B Software Directories & AI SEO Strategy for SaaS](/blog/b2b-software-directories-ai-seo-strategy/) — How directories fit into AI's retrieval patterns and why they matter for discovery - [Directory Strategy as a Competitive Moat](/blog/directory-strategy-competitive-moat/) — Building lasting advantage through strategic directory presence - [How to Get Your Software Ranked on G2](/guides/how-to-get-ranked-on-g2/) — Master the G2 algorithm and earn those coveted badges - [G2 & Capterra Review Guidelines](/guides/how-to-get-g2-capterra-reviews/) — What reviewers need to prepare and how to guide customers through the process - [Introducing Visibility Posture](/blog/introducing-visibility-posture-alpha/) — What your directory presence actually looks like, assessed by our AI agent --- --- # Alexis Zheng Joins G2 as CPTO: What It Signals for AI Discovery URL: https://blastra.io/blog/alexis-zheng-g2-cpto/ Description: G2's new Chief Product and Technology Officer built AI systems at Cruise, Grab, and Uber. The combined CPTO role tells you where G2 is heading. ## TL;DR - G2 hired [Alexis Zheng](https://www.linkedin.com/in/alexiszheng/) as Chief Product and Technology Officer (CPTO)—a combined CPO+CTO role - She built AI products at Cruise (autonomous vehicles), Grab, Uber, and LinkedIn - The CPTO structure means G2 sees product strategy and technical execution as inseparable—a sign they're treating AI as core infrastructure, not a feature - For [vendors](/glossary/vendor/): G2 is investing heavily in becoming the AI citation source for software. Your [review](/glossary/user-reviews/) content matters more than star ratings. - G2 now has a leadership team built for AI-first product development. The [Capterra acquisition](/blog/g2-acquires-capterra-gartner-digital-markets/), the [hiring surge](/blog/g2-capterra-acquisition-what-theyre-actually-building/), and this appointment all point the same direction. --- ## Who Is Alexis Zheng? [G2 announced](https://company.g2.com/news/alexis-zheng-joins-g2-as-cpto) that Alexis Zheng is joining as Chief Product and Technology Officer. She's coming from HPE, where she was VP of Product Management for AI. Her background is interesting. She spent time at: - **Cruise** (2020-2023) — Built the autonomous driving "AI Brain" as Head of Product for CruiseAI - **Grab** (2018-2020) — Led AI/ML product development across Southeast Asia's largest superapp - **Uber** (2016-2018) — Worked on dynamic pricing and ML-based personalization - **LinkedIn** (2014-2016) — Built social analytics and recommendation systems The pattern: AI-native product development at scale. A person with this background should know how to take massive datasets and turn them into AI-powered products for people to use. G2's CEO Godard Abel called her "uniquely suited to help G2 achieve our vision of transforming software discovery through our AI-powered marketplace." --- ## Why CPTO Instead of CPO? Here's the detail that caught our attention. G2 hired a Chief Product *and Technology* Officer—a combined role where one person owns both product strategy and technical execution. G2 already has a CTO (Mike Wheeler, co-founder since 2012) and an "AI CTO" (Andrej Žukov-Gregorič, who joined through the unSurvey acquisition last June). So why add a CPTO? The CPTO role typically shows up when a company decides that *what* to build and *how* to build it are the same question. When the product IS the technology. For G2, that makes sense. Their product roadmap is now inseparable from AI decisions: - How do you structure review data so LLMs can use it? - What features help G2 become the source AI systems cite? - How do you build products that make G2's data more valuable to both humans and machines? You can't have a CPO saying "I want this feature" while a CTO says "technically we should do it differently." With AI infrastructure, you need one person holding both threads. Zheng's background looks like a fit for this. She's a product leader who's spent a decade in AI-heavy environments — autonomous vehicles, ML-based pricing, recommendation systems. If that translates, she'd understand the technical constraints without being an engineer. --- ## What G2 Is Building We've been [tracking G2's moves](/blog/g2-capterra-acquisition-what-theyre-actually-building/). This hire fits a pattern: - **The Capterra acquisition** — Combined review databases, unified [taxonomy](/glossary/taxonomy/). Stated goal: become the trusted data source for AI software recommendations. - **The hiring surge** — Heavy investment in AI engineering and "Generative Engine Optimization" (GEO). They're building G2.ai, their own AI recommendation product. It doesn't really work yet, but it's ambitious. - **The leadership structure** — A CPTO from autonomous vehicles AI, an AI CTO from an acquired AI research company, ~100 engineers in Bengaluru. G2 has said out loud what they want: to be "the primary source of truth for the LLMs and agents" that inform software buying. Zheng's quote in the announcement fits this: > "The most successful platforms in the AI era will be those with the most reliable signals—making trust the true last mile of enterprise AI adoption." "Reliable signals" does a lot of work there. It's technical (how data is structured for AI systems) and strategic (how G2 positions itself as trustworthy) at the same time. --- ## What This Means for Vendors If you're a software company managing your [visibility posture](/glossary/visibility-posture/) across [directories](/glossary/software-directory/), here's what we'd pay attention to: ### Your review content matters more than your star rating G2 is building toward a future where AI systems learn from review text—the actual words customers use to describe your product. The problems it solves. What makes it different. Who it's good for. That means the substance of your reviews becomes part of how AI understands and recommends your product. A 4.5-star [rating](/glossary/rating-and-ranking/) with thin reviews is less useful than a 4.2-star rating with detailed, specific feedback. (For that reason, we'd [avoid G2's AI-assisted review feature](/blog/g2-ai-reviews-voice-chat-problems/)—we don't think it yields good results yet.) ### Don't bet everything on G2 G2 wants to dominate AI software discovery. Every recent move suggests they're serious about it—the Capterra acquisition, the hiring surge, and now this. The problem: the more dominance they have, the more they'll charge. We already see this—even to display [badges](/glossary/badge/) you earned, you need a [paid plan](/guides/how-to-earn-g2-badges/). The good news: AI is highly contextual. It pulls from G2, Capterra, TrustRadius, [SourceForge](/guides/how-to-earn-sourceforge-badges/), product docs, and niche directories—depending on the query. Even if G2 dominates, other sources still matter. So diversify your [listings](/glossary/listing-or-profile/). [Learn how Blastra can help](/about/). --- ## What This Means for the Industry Most [review platforms](/glossary/review-platform/) and directories are older businesses. They weren't built by teams thinking about AI from day one. G2 now has: - A CPTO from autonomous vehicles AI - An AI CTO from an acquired AI research company - ~100 engineers in Bengaluru building AI infrastructure This looks like a structural advantage. We'll see if it works, but it's definitely a move in the right direction. Curious if others will follow suit. --- ## FAQ ### What is a CPTO? Chief Product and Technology Officer — combined role owning product strategy and technical execution. Used when product and technology are inseparable, common in AI-first companies. ### Who was G2's CPO before Alexis Zheng? Sara Rossio, CPO for four years, recently departed. CPTO is a restructuring, not direct replacement. ### Does G2 still have a CTO? Yes. Mike Wheeler (co-founder, CTO since 2012) and Andrej Žukov-Gregorič (AI CTO from unSurvey acquisition). CPTO sits alongside, focused on product-technical strategy. ### What does this mean for the Capterra acquisition? Hire suggests G2 built leadership to execute combined vision — unified taxonomy, combined reviews, AI-powered discovery. Acquisition [closed February 2026](/blog/g2-capterra-acquisition-closed/). For vendors working out what that means in practice, see [how to navigate G2 and Capterra post-acquisition](/guides/how-to-navigate-g2-and-capterra/). ### Should I prioritize G2 over other directories? G2 is investing heavily, but AI cites multiple sources and buyers comparison shop. Maintain presence across G2, Capterra, TrustRadius, SourceForge, and niche directories. Diversification protects against platform changes. --- ## Related Reading - [G2's Hiring After the Capterra Announcement: What They're Building](/blog/g2-capterra-acquisition-what-theyre-actually-building/) — Analysis of G2's AI and GEO hiring patterns - [How G2 Is Building G2.ai Into an Expertise Marketplace](/blog/what-is-g2-ai/) — Inside the open beta where G2 is rebuilding itself around AI workflows - [G2 Acquires Capterra: What It Means for Software Vendors](/blog/g2-acquires-capterra-gartner-digital-markets/) — The acquisition that started the consolidation - [B2B Software Directories & AI SEO Strategy](/blog/b2b-software-directories-ai-seo-strategy/) — How AI recommends software and why directories matter - [What Is Visibility Posture?](/glossary/visibility-posture/) — Blastra's framework for third-party presence --- --- # What the G2–Capterra Acquisition Means for B2B SaaS Vendor Strategy URL: https://blastra.io/blog/g2-capterra-acquisition-vendor-strategy/ Description: Strategic analysis of the G2–Capterra acquisition: what changes for badge programs, taxonomy, pricing, and why diversifying beyond G2 Digital Markets matters in 2026 and 2027. **Update (February 5, 2026):** This deal [appears to have closed](/blog/g2-capterra-acquisition-closed/). The advice below still stands — get your Capterra badges while you can. **Update (May 9, 2026):** For the current state of vendor cabinets, where to focus review collection, and how to navigate two cabinets day-to-day, see our [G2 and Capterra navigation guide](/guides/how-to-navigate-g2-and-capterra/) — the canonical reference for the post-acquisition ecosystem. **Update (June 3, 2026):** G2 shipped the [first real merge of the two backends](https://company.g2.com/news/g2-expands-buyer-intent-capabilities) — pretty much the direction we expected here. Buyer Intent now pulls signals from G2, Capterra, Software Advice, and GetApp into one view in the G2 profile (G2 reports up to 2x more signals). For a sales-led team it's a powerful upgrade: a fuller, single view of who's in-market across four sites. It's also the first thing to actually converge rather than rebrand, and we read it as an early sign that G2's backend becomes the primary one over time. The catch for vendors: the unified data is only free if you already pay for Buyer Intent, which sits outside the basic Brand Professional package as a paid add-on with no published price — ask your G2 manager. More in the [navigation guide](/guides/how-to-navigate-g2-and-capterra/). --- ## TL;DR - G2's February 2026 acquisition of Capterra, GetApp, and Software Advice (now operating as G2 Digital Markets) reshapes the vendor landscape more than a typical roll-up - What G2 gains: 2.5M+ reviews, a roster of already-paying vendors, 200M+ annual buyers — all on a single taxonomy - What's likely at risk: Capterra's free-to-display badge program, Capterra's separate taxonomy, and competitive pressure that has kept G2's pricing from rising faster - **Strategic implication for vendors**: the pricing floor on B2B directory presence is likely to rise, diversification beyond G2 Digital Markets becomes a defensive posture, and any free-to-display badge wins earned before the programs unify hold durable value - For the practical *how* of earning Capterra badges, see our [Capterra badges guide](/guides/how-to-earn-capterra-badges/) — this post is the strategic *why* and *so-what* --- ## What Just Happened On January 29, 2026, G2 announced it's acquiring Capterra, Software Advice, and GetApp from Gartner. The deal is expected to close in Q1 2026. (For the full breakdown, see [our analysis of the consolidation](/blog/g2-acquires-capterra-gartner-digital-markets/).) If you're a SaaS company that cares about how you show up on [directories](/glossary/software-directory/), this raises an immediate question: where should you focus your [review collection](/glossary/review-campaign/) efforts right now? --- ## What G2 Is Actually Acquiring Let's think about this from G2's perspective. What are they really buying? **What G2 gets (and will keep):** - **[Reviews](/glossary/user-reviews/)** — Capterra has 2.5+ million verified reviews. That's training data for G2.ai, and social proof that feeds AI search recommendations. - **[Vendors](/glossary/vendor/)** — Companies already paying for [listings](/glossary/listing-or-profile/) on the Gartner Digital Markets platforms. Some will migrate to G2's paid tiers. - **Traffic** — 200+ million annual software [buyers](/glossary/buyer/) across the combined platforms. **What G2 probably doesn't need (our speculation):** - **Capterra's [taxonomy](/glossary/taxonomy/)** — It's rigid and hasn't kept up with how software [categories](/glossary/categories/) actually work today. We know this from dealing with frequent rejections of absolutely legitimate products from our customers (see our [Capterra rejection and appeal guide](/guides/how-to-appeal-capterra-rejection/)). G2's category system is more flexible. They've already promised a "unified taxonomy" — which almost certainly means G2's taxonomy wins. - **Capterra's [badge](/glossary/badge/) programs** — G2 has its own badge system. And unlike Capterra's badges, G2's badges require a paid subscription ($3,000-6,000+/year) to display since Summer 2025. See where this is going? --- ## The Badge Opportunity We expect this to happen — and it matters. **Capterra badges are free to display.** You earn them based on reviews and [ratings](/glossary/rating-and-ranking/). If you qualify, you can use them in marketing, on your website, in sales decks. No paywall. **[G2 badges are not free to display.](/guides/how-to-earn-g2-badges/)** Since June 2025, G2 requires a paid subscription to publicly use badges from quarterly reports. [Free profiles](/glossary/free-directory/) can still *earn* badges, but can't display them. (The "Users Love Us" badge remains free, but that's the entry-level one.) For the full side-by-side of where each platform charges and where it doesn't, see [G2 vs Capterra vendor pricing compared](/blog/g2-capterra-vendor-pricing-compared/). When G2 absorbs Capterra, they have two options: 1. Keep running two parallel badge programs with different rules 2. Sunset Capterra's badges and push everyone toward G2's paid model We're betting on option 2. --- ## Our Prediction (Wild, but Not Crazy) G2 will probably discontinue Capterra's badge programs starting in 2027. Here's why: - **It simplifies operations.** Why maintain two badge systems when you're trying to unify everything? - **It encourages self-migration.** Vendors who want badges will need to move to G2's ecosystem — they'll have limited options left (see our badge guides for [G2](/guides/how-to-earn-g2-badges/) and [Capterra](/guides/how-to-earn-capterra-badges/)). - **It's consistent with G2's monetization strategy.** G2 already decided badges are a paid feature. Why would they keep a competing free option? And making Capterra's badges paid would mean complicating operations even more. **They probably won't take away badges you've already earned.** G2's own policy says free profiles retain access to "previously earned badges." That principle likely carries over. --- ## The Strategic Implication for Vendors A narrow window of value exists here, and it's not a tactical to-do list — it's a pricing dynamic. As long as Capterra runs free-to-display badges and G2 runs paid-only badges in parallel, there's competitive pressure on G2 not to push its own pricing too aggressively. Once the two programs unify — if our prediction about option 2 is right — that floor lifts. Any free-to-display Capterra badge earned before the programs consolidate is something you'll continue to show on your site while your competitors are deciding whether a new, higher G2 subscription is worth it. This isn't advice to chase badges you don't deserve. It's an observation that the *cost basis* of third-party validation is likely about to increase, and badges earned under the current rules carry forward. Three strategic points follow: - **Buyers don't distinguish the source carefully.** A "[Best Ease of Use 2026](/all-software-awards-and-badges/capterra-best-ease-of-use/)" badge reads as credible regardless of which G2-owned platform awarded it. - **AI recommendation engines will consolidate the signal.** As the G2/Capterra backend unifies, AI systems ingesting that data will increasingly treat the two platforms as one source. Capterra-awarded badges earned now will likely carry forward as G2 Digital Markets signals even if the separate Capterra brand retires. - **Diversification beyond G2 Digital Markets becomes a defensive posture.** When a single owner controls 55–58% of the B2B software review surface, meaningful presence on [alternatives to G2](/directories/alternatives-to-g2/) — [TrustRadius](/guides/how-to-earn-trustradius-badges/), [SourceForge](/guides/how-to-earn-sourceforge-badges/), [PeerSpot](/guides/how-to-earn-peerspot-badges/), and vertical directories — isn't about hedging trends. It's about keeping leverage. For the step-by-step requirements, category deadlines, and badge types, see our [Capterra badges guide](/guides/how-to-earn-capterra-badges/). This post stops at the strategic layer. --- ## What This Acquisition Doesn't Change **Reviews still matter.** Whether they live on Capterra or G2, reviews feed buyer decisions and AI recommendations. Keep collecting them. **Directory presence still matters.** G2 controlling more of the market doesn't mean you should abandon directories. It means your presence matters *more* — there's less redundancy now, so getting it right is more important than ever. **Diversification still matters.** TrustRadius, [SourceForge](/guides/how-to-earn-sourceforge-badges/), industry-specific directories — they're not G2, but they're also not controlled by G2. Consider them. Our platform includes a [directory database](/blog/b2b-software-directories-ai-seo-strategy/) that can help you find the best fit for your product. --- ## What Blastra Is Watching **Q1 2026:** Will the deal actually close? Regulatory approval isn't guaranteed. **Late 2026:** G2's first moves on the Capterra ecosystem. Watch for announcements about "unified" anything — taxonomy, badges, dashboards. (We analyzed [G2's hiring patterns](/blog/g2-capterra-acquisition-what-theyre-actually-building/) to understand what they're actually building.) **2027 badge season:** This is when we'll know if Capterra badges continue or sunset. Plan accordingly. --- ## What This Means For You G2 acquiring Capterra is consolidation. Consolidation means less competition, which usually means higher prices for vendors. But in the short term, there's an opportunity: **Capterra badges are still free to earn and display.** G2's are not. If you can qualify for Capterra recognition in 2026, you get free third-party validation that might not be available — at least not for free — in 2027. This is not investment advice. It's a gamble. (Full disclosure: we've been channeling our customers toward G2 for reviews, and now we need to reconsider. It's a bummer for us too.) --- ## What Happens to Reviews Post-Acquisition Independent of what happens to badges, there's a reasonable expectation about reviews themselves. G2 will likely start [syndicating](/glossary/review-syndication/) Capterra reviews across the combined G2 Digital Markets ecosystem and partner marketplaces like AWS and Azure. Eventually syndication between G2 and G2 Digital Markets is expected too, though no timeline has been published. Reviews gathered on Capterra now will most likely appear on G2 later — which shifts the calculus on where to focus review collection. For badge eligibility windows, category-specific cutoffs, and step-by-step requirements, see our [Capterra badges guide](/guides/how-to-earn-capterra-badges/) — we keep deadlines current there. --- ## Related Reading - [G2 and Capterra: Vendor Guide After the Acquisition](/guides/how-to-navigate-g2-and-capterra/) — Canonical post-acquisition navigation guide - [Capterra Badges Guide: How to Earn Badges in 2026](/guides/how-to-earn-capterra-badges/) - [G2 Is Buying Capterra, GetApp, and Software Advice. That's... Interesting.](/blog/g2-acquires-capterra-gartner-digital-markets/) - [G2's Hiring After the Capterra Announcement: What They're Building](/blog/g2-capterra-acquisition-what-theyre-actually-building/) - [How G2 Is Building G2.ai Into an Expertise Marketplace](/blog/what-is-g2-ai/) — What G2's ambitions look like up close, one year after announcing G2.ai - [How to Get Ranked on G2: The Complete Guide](/guides/how-to-get-ranked-on-g2/) - [Directory Strategy as a Competitive Moat](/blog/directory-strategy-competitive-moat/) - [G2 Badges Guide: How to Earn Badges in 2026](/guides/how-to-earn-g2-badges/) --- --- # Inside G2's Capterra Integration: What 30 Job Postings Reveal URL: https://blastra.io/blog/g2-capterra-acquisition-what-theyre-actually-building/ Description: We mapped G2's 30 open positions to understand how their Capterra acquisition translates into action. AI, GEO, and a Bengaluru-based R&D team tell the story. **Update (February 5, 2026):** The acquisition [appears to have closed](/blog/g2-capterra-acquisition-closed/). G2's hiring priorities analyzed below remain relevant for understanding their integration plans. **Update (May 9, 2026):** For the current state of vendor cabinets and how to navigate the post-acquisition ecosystem day-to-day, see our [G2 and Capterra navigation guide](/guides/how-to-navigate-g2-and-capterra/). --- ## TL;DR - G2 has 30 open positions—we mapped them to understand their priorities - AI and GEO (Generative Engine Optimization) are clearly the focus - Product R&D is based in Bengaluru, led by a founder G2 acquired; ~100 engineers total - The vision is clear: become the data source AI trusts for software recommendations - For vendors: your review content matters more than ever, but don't abandon other directories—AI cites multiple sources ## What Job Postings Tell You In late January, we wrote about [G2's announced intent to acquire Capterra, Software Advice, and GetApp](/blog/g2-acquires-capterra-gartner-digital-markets/). The announcement outlined a big vision: unified taxonomy, combined review databases, G2.ai as the trusted source for AI recommendations. We got curious about how that vision translates into action. Job postings are interesting that way—they show you what a company is actively building, right now, with real budget behind it. G2 has [30 open positions](https://company.g2.com/careers/open-positions). Here's what we found when we mapped them out. ## AI Is Central to the Strategy G2's Product R&D team is based in Bengaluru, and the AI work is led by [Praveen Maloo](https://www.linkedin.com/in/praveenmaloo/)—founder of unSurvey, an AI-powered user research tool that G2 acquired. When a company puts an acquired founder in charge of a key initiative, that's a real commitment. The open roles show what they're building: **Senior AI Engineer (Bengaluru)** — Working on LLMs, Voice AI, RAG systems, and what they call "agentic architectures." This is infrastructure work—building the foundation for AI-powered features. **Staff Software Engineer (London)** — Focused on AI/Generative technologies, prompt engineering, and integrating tools like Claude Code. The job description mentions quarterly "Weeks of Creativity" for AI experimentation. This person would most likely be building the actual AI-powered features users interact with—think smarter search, AI-generated comparisons, or tools that help buyers make sense of review data faster. **Senior Product Manager, Data Products (Remote)** — Owns the roadmap for "AI-powered data applications, including agent-based solutions." This person figures out how G2's review data becomes AI products. According to LinkedIn Sales Navigator data, G2 already has around 100 people in engineering roles. Is that enough to execute on this vision while also integrating four platforms? We'll find out as it unfolds. But they're clearly building, not just announcing. ## The GEO Investment Is Significant This is the part that caught our attention. G2 is hiring specifically for what they call "Generative Engine Optimization"—making sure G2 is what AI cites when someone asks for software recommendations. **VP of Growth & Buyer Experience (Remote US)** — This role is responsible for "G2's SEO and Generative Engine Optimization (GEO) strategy" with a focus on "G2's presence as the #1 citation source in LLMs across software categories." That's a clear goal. They want to be what ChatGPT and Perplexity reference when someone asks "what's the best project management software?" (Other directories are probably thinking about this too—SourceForge, TrustRadius, and others. G2 is just being very public about it.) **Plus four SEO specialists in Bengaluru** — Senior SEO Content Specialist, Senior SEO Specialist, SEO Content Specialist, and SEO Outreach Specialist. That's a real team dedicated to making G2 content discoverable—by humans and by AI. ## Clear Strategy, Open Questions We could debate whether G2 has enough resources to pull this off, or whether the team can deliver on such an ambitious vision. But what's hard to debate is that they have a clear strategy—and a very simple one: become the go-to source of information about B2B software for AI. That's more than many players in this space can say. Most review platforms and directories are old-school businesses—they weren't built by tech-native teams thinking about AI from day one. G2 is positioning itself differently. Their [recent CPTO hire, Alexis Zheng](/blog/alexis-zheng-g2-cpto/), reinforces this—she built AI products at Cruise, Grab, and Uber before joining G2. The Capterra acquisition fits this strategy. Combining review databases gives G2 more reviews for human buyers and the most comprehensive dataset for AI systems to learn from and cite. ## What This Means For How AI Talks About Your Software G2 is already one of the top sources AI cites for software recommendations. If this acquisition goes through and their GEO strategy works, they could become the dominant source. That changes what matters for your [visibility posture](/glossary/visibility-posture/). When someone asks an AI "what's the best CRM for small teams?", the AI pulls from review sites, articles, documentation—and G2 is already prominent in that mix. The more dominant G2 becomes, the more what G2 reviews say about your product becomes what AI says about your product. That means: **Review content matters more than star ratings.** The actual words reviewers use to describe your software—the problems it solves, what makes it different, who it's good for—that's what AI will learn from and repeat. But if you want those words to actually appear on G2, don't send your reviewers to G2's AI-assisted review options. They're frustrating—[here's why we recommend traditional G2 review forms instead](/blog/g2-ai-reviews-voice-chat-problems/). **Your G2 presence becomes part of your AI presence.** The categories you're listed in, the comparisons you show up in, the specific attributes reviewers mention—all of that feeds into how AI understands and recommends your product. **But G2 isn't the only source AI cites—and that matters.** When we test AI recommendations for software, citations come from G2, yes—but also from Capterra, TrustRadius, SourceForge, product documentation, blog posts, and more. The cumulative effect of being present across multiple directories adds up. G2 wants to be #1, and they may get there. A hedging strategy still makes sense. ## The Practical Takeaway G2 is building toward a future where they're a trusted data source for AI software recommendations. That's an ambitious goal, and the hiring shows they're serious about it. For software companies, this means: 1. **Your reviews are content, not just ratings.** Think about what you want AI to say about your product. That starts with what reviewers say on G2—and the words they use matter. 2. **Keep your listings current.** Categories, descriptions, screenshots—all of it feeds into how AI systems understand your product. Outdated listings mean outdated AI recommendations. 3. **Don't put all your eggs in one basket.** G2 becoming more important doesn't mean other directories become less important. AI systems cite multiple sources. Buyers still comparison shop across platforms. A presence on G2, Capterra, TrustRadius, [SourceForge](/guides/how-to-earn-sourceforge-badges/), and niche directories relevant to your space is still the smart play. We'll keep watching how this develops. The acquisition still needs to close (expected Q1 2026), and there's a lot of execution between the vision and the reality. But the direction is clear. If managing listings across multiple platforms sounds tedious—it is. That's what we do at [Blastra](/). We handle [SaaS listings management](/glossary/software-listings-management/) across G2, Capterra, and other directories: submissions, ongoing updates, and guidance on what actually matters for your visibility. So you can focus on building your product while we keep your third-party presence current. --- **Related reading:** - [G2 and Capterra: Vendor Guide After the Acquisition](/guides/how-to-navigate-g2-and-capterra/) — Canonical post-acquisition navigation guide - [Alexis Zheng Joins G2 as CPTO: What It Signals](/blog/alexis-zheng-g2-cpto/) - [How G2 Is Building G2.ai Into an Expertise Marketplace](/blog/what-is-g2-ai/) — We visited the open beta: Blueprints, an Expert Network, and a marketplace taking shape - [G2 Is Buying Capterra, GetApp, and Software Advice. That's... Interesting.](/blog/g2-acquires-capterra-gartner-digital-markets/) - [Why We Don't Recommend G2's AI-Powered Reviews Yet](/blog/g2-ai-reviews-voice-chat-problems/) - [How Directories Feed AI and SEO](/blog/b2b-software-directories-ai-seo-strategy/) - [What is Visibility Posture?](/glossary/visibility-posture/) --- --- # G2 Acquires Capterra, GetApp, and Software Advice: What to Know URL: https://blastra.io/blog/g2-acquires-capterra-gartner-digital-markets/ Description: G2 acquires Capterra, GetApp, and Software Advice from Gartner. We break down what this consolidation means for B2B software vendors, pricing implications, and what to watch. **Update (May 9, 2026):** For the current state of vendor cabinets, login URLs, and what to do as a vendor, see our [G2 and Capterra navigation guide](/guides/how-to-navigate-g2-and-capterra/). The analysis below remains useful as the original announcement context. --- ## TL;DR - G2 acquired Capterra, Software Advice, and GetApp from Gartner — the deal [closed February 5, 2026](/blog/g2-capterra-acquisition-closed/) - Those three are already unified under Gartner Digital Markets—so this is really G2 + Gartner's ecosystem becoming one company - They're promising "unified taxonomy," "pay-per-lead," and AI recommendations - For vendors: this is interesting... but probably not good news - When there's only one place to be found, the stakes get higher (and so do the prices) ## Wait, All Four? In One Place? [G2 announced](https://company.g2.com/news/g2-acquires-capterra-software-advice-getapp) on January 29, 2026 that they would buy Capterra, Software Advice, and GetApp from Gartner. The deal [closed one week later](/blog/g2-capterra-acquisition-closed/), on February 5. Quick context: those three are already one family. Gartner has owned them as "Gartner Digital Markets" since 2014-2015. They share a backend, a vendor dashboard, and reviews sync across all three automatically. One review shows up on Capterra, Software Advice, and GetApp. So really, this is G2 + Gartner Digital Markets becoming one company. Two ecosystems merging, not four separate platforms. Still—that's the two biggest B2B [software discovery](/glossary/software-directory/) ecosystems combining. That's a lot of eggs in one basket. For anyone managing their [SaaS listings](/glossary/software-listings-management/) across these platforms, this is worth paying attention to. Not because it simplifies anything (yet), but because when four competitors become one owner, the dynamics change. Your [directory strategy](/blog/directory-strategy-competitive-moat/) needs to adapt to this new reality. ## What G2 Is Promising The announcement is full of exciting language. Let me translate what they're saying: **"200+ million annual buyers and 6 million verified reviews in one place"** That sounds impressive! It's also another way of saying: there's nowhere else to go. When a platform controls access to this many [buyers](/glossary/buyer/) and [reviews](/glossary/user-reviews/), [vendors](/glossary/vendor/) have limited alternatives. **"Aligned taxonomy" and "single, market-leading taxonomy"** This is interesting. Right now, Capterra has 900+ [categories](/glossary/categories/). G2 has its own category structure. Software Advice and GetApp have theirs. They all organize software differently based on their own [taxonomy](/glossary/taxonomy/) systems. G2 is promising to unify this. One category system to rule them all. Gartner has owned Capterra, GetApp, and Software Advice for almost a decade. They unified the reviews—one review shows up on all three sites automatically. They built a shared vendor dashboard. But they never fully unified the taxonomies. Each platform still has different categories, different ranking systems (Shortlist, Category Leaders, FrontRunners), different badge programs. So when G2 promises they'll unify taxonomies across *four* platforms when Gartner couldn't fully do it across three... that's ambitious. On the other hand, this kind of work is much simpler now with AI than it was five years ago. They might actually pull it off. **"3x more Buyer Intent signals" and "pay-per-lead"** Translation: as a [vendor](/glossary/vendor/), you will pay. G2 is promising more [buyer intent](/glossary/buyer-intent/) data—signals showing which companies are actively researching your software. Not that anything is free now. But at least today you have options. You can choose where to invest—G2 or Capterra or both, depending on what works for your market. You can compare results and shift budget accordingly. With what G2 is building, those options shrink. One platform, one pricing model, one set of rules. (That said, there are [plenty of other B2B software directories](/blog/b2b-software-directories-ai-seo-strategy/) that still exist and still matter. The big two [review platforms](/glossary/review-platform/) becoming one doesn't mean there's nowhere else to be found.) **"G2.ai" and "[Answer Engine Optimization (AEO)](/glossary/aeo/)"** G2 is explicitly positioning themselves as "the primary source of truth for LLMs and agents." They want to be what AI cites when someone asks "what's the best project management software?" There's just one small detail: G2 also sells placement to software vendors. So [G2.ai](/blog/what-is-g2-ai/) recommends software... and G2 makes money from software vendors wanting to be recommended. Hmm. There's also the question of execution. We recently wrote about why we [don't recommend G2's AI-powered reviews yet](/blog/g2-ai-reviews-voice-chat-problems/)—the technology isn't quite there. Building genuinely useful AI products requires serious talent and serious investment. We're hoping G2 has budget left over—after acquiring four platforms—for the people who need to make all this come true. ## The Monopoly Question (Let's Just Say It) I'm not going to pretend this is obviously great news for vendors. When two ecosystems become one company, prices tend to go up. That's just how it works. Competition keeps prices in check. Remove competition, and... well. G2's announcement literally says they're reaching "200+ million buyers" through "a single, market-leading taxonomy." When there's only one [taxonomy](/glossary/taxonomy/), one [ranking system](/glossary/rating-and-ranking/), one gatekeeper—that gatekeeper has a lot of power. Right now, if G2's pricing gets too aggressive, vendors can focus on Capterra instead. If Capterra's lead quality drops, there's G2. The two ecosystems compete for vendor dollars. (For where that competition currently sits — what's free on Capterra and locked on G2, and vice versa — see our [G2 vs Capterra vendor pricing comparison](/blog/g2-capterra-vendor-pricing-compared/).) After this deal? There's G2. And then there's... not much. TrustRadius exists. A few others. But G2 absorbing Gartner Digital Markets is significant concentration. ## Did This Deal Face Regulatory Pushback? When we first published this piece (January 29, 2026), we expected a longer road. The FTC blocked CoStar's acquisition of RentPath in 2020—a similar situation where two dominant online listing platforms tried to merge. The EU blocked Booking.com from acquiring eTraveli over ecosystem dominance concerns. G2 buying Gartner Digital Markets is the two biggest B2B software discovery ecosystems merging. We thought there was a real chance of regulatory pushback. We were wrong. The deal closed one week later, on February 5, 2026. No regulatory challenge materialized. Gartner's 10-K SEC filing (filed February 12, 2026) confirmed the sale at approximately $110 million. ## What This Actually Means For Your Listings Here's the practical reality: **Short term:** The deal closed in February 2026, but nothing changed immediately. Integration takes years. Gartner Digital Markets already has unified reviews and a shared backend—but merging that with G2's separate ecosystem is a whole different project. You still need to manage G2 separately from Capterra. The logins aren't going away overnight. **Medium term (1-3 years):** Expect backend integration between G2 and the Gartner properties. Reviews might eventually sync across all four. Maybe a truly unified vendor dashboard. Taxonomy alignment across G2 *and* the Gartner family will be the hardest part—and might never fully happen. **Long term:** If they actually unify everything? Your presence on this one mega-platform becomes much higher stakes. Get it wrong, and you've got it wrong everywhere. Get it right, and... you're still at the mercy of one company's ranking algorithms and priorities. Understanding [how to get ranked on G2](/guides/how-to-get-ranked-on-g2/) will become even more critical when G2 controls the entire ecosystem. ## The Consolidation Reality G2 is saying all the right things: "simplifying the process," "better for buyers and sellers," "trusted data." This is consolidation. The two major B2B software discovery ecosystems becoming one dominant player. And here's something worth noticing: read their announcement carefully. The excitement is about buyers, reviews, and AI. "6 million verified reviews." "200 million annual buyers." "The primary source of truth for LLMs and agents." "G2.ai." The vendor experience? It gets a mention—"simplified for sellers," "reach buyers through a single taxonomy"—but it doesn't feel like the priority. Maybe I'm wrong. But if I had to guess where they're investing their energy after this deal closes, it's probably not in making life easier for the companies paying them. The priority seems to be: collect more reviews, attract more buyers, feed it all into G2.ai, become the thing AI trusts. Their [recent CPTO hire](/blog/alexis-zheng-g2-cpto/)—an AI product leader from Cruise, Grab, and Uber—reinforces this direction. Vendors are the ones paying for all of this. But vendors might not be the ones this is being built for. They're not doing this to make things easier for you. They're doing this to control more of the market. That's fine—that's business. But vendors should understand the dynamics. When there's only one game in town, you have to play it. And the house sets the rules. ## What To Do Now **Diversify while you can.** The major platforms aren't the only places buyers find software. [SourceForge](/guides/how-to-earn-sourceforge-badges/), niche directories, industry-specific sites, [AI search optimization across multiple sources](/blog/b2b-software-directories-ai-seo-strategy/)—these matter more when the big players consolidate. Our roundup of [G2 alternatives ranked by traffic](/directories/alternatives-to-g2/) shows where to build presence next. **Get your current listings right.** If G2 eventually becomes the single source of truth, your G2 presence matters a lot. Same with Capterra. Now's a good time to make sure your [listings](/glossary/listing-or-profile/) are complete, current, and optimized. Understanding the [G2 and Capterra review guidelines](/guides/how-to-get-g2-capterra-reviews/) is essential for maintaining a strong presence. **Watch the pricing.** If this deal closes, expect "new opportunities" (read: more expensive packages) over the next 18 months. Budget accordingly. **Don't put everything in one basket.** Your [visibility posture](/glossary/visibility-posture/) should include third-party platforms, but also direct channels, content, community, and anywhere else [buyers](/glossary/buyer/) might discover you. Depending entirely on G2-Capterra-combined isn't a strategy—it's a risk. Building a [strong directory strategy as a competitive moat](/blog/directory-strategy-competitive-moat/) means diversifying your presence across multiple channels. --- ## Recommended Reading Stay ahead of the changes in B2B software discovery with these essential guides: ### [How to Get Ranked on G2: The Complete Guide](/guides/how-to-get-ranked-on-g2/) Master the G2 algorithm before this merger makes your G2 presence even more critical. Learn the scoring system, grid placement, and systematic approach to climbing category rankings. ### [G2 & Capterra Review Guidelines for SaaS Growth](/guides/how-to-get-g2-capterra-reviews/) As these platforms merge, understanding the review process becomes essential. Learn what reviewers must prepare and how to guide customers through successful reviews on both platforms. ### [Directory Strategy as a Competitive Moat](/blog/directory-strategy-competitive-moat/) Don't let consolidation catch you unprepared. Learn how to build a resilient directory strategy that protects your business when major platforms merge. ### [B2B Software Directories for AI SEO Strategy](/blog/b2b-software-directories-ai-seo-strategy/) With G2 positioning itself as "the primary source of truth for LLMs," understanding how directories feed AI discovery is more important than ever. ### [Alexis Zheng Joins G2 as CPTO](/blog/alexis-zheng-g2-cpto/) G2's new Chief Product and Technology Officer built AI at Cruise, Grab, and Uber. The combined CPTO role signals where G2 is heading. --- ## FAQ ### Did G2 acquire Capterra? Yes. G2 announced on January 29, 2026 that it would acquire Capterra, Software Advice, and GetApp from Gartner. The deal closed one week later, on February 5, 2026, for approximately $110 million (per Gartner's 10-K SEC filing). ### Who owns Capterra now? G2. Capterra, along with Software Advice and GetApp, was previously part of Gartner Digital Markets (owned by Gartner since 2014-2015). All three are now owned by G2. ### Does the G2 Capterra merger make review data less trustworthy? The review collection methodologies themselves haven't changed — G2 still verifies reviewers via LinkedIn, Capterra still moderates submissions, reviews across Capterra/Software Advice/GetApp still sync across the Gartner Digital Markets trio. What has changed is concentration: the two biggest B2B software discovery ecosystems are now one company. That's a consolidation question, not a trust-of-individual-reviews question — but when one owner controls pricing, rankings, and policies across four platforms, vendors have fewer places to go if something changes. ### What does the G2 acquisition mean for SaaS vendors? Short term, nothing changes operationally — G2 and the Gartner platforms still have separate logins, dashboards, and taxonomies. Medium term (1-3 years), expect backend integration, possible review syncing across all four platforms, and gradual taxonomy alignment. Long term, if G2 unifies everything, presence on this one mega-platform becomes much higher stakes. Diversifying onto independent platforms (SourceForge, TrustRadius, SoftwareReviews, Trustpilot) becomes more strategic. ### Will G2 and Capterra merge their reviews? G2 hasn't committed to a timeline. Gartner already synced reviews across Capterra, Software Advice, and GetApp (one review shows up on all three), but never fully unified their taxonomies. Merging G2's separate ecosystem with those three is a bigger project. Review syncing across all four is plausible medium term; complete taxonomy alignment is harder and may never fully happen. ### Did the G2 Capterra acquisition face regulatory pushback? No. When this piece was first published on January 29, 2026, regulatory pushback seemed possible — similar consolidations like CoStar/RentPath (2020) and Booking.com/eTraveli had been blocked. But the deal closed in one week with no regulatory challenge. Gartner's 10-K filing on February 12, 2026 confirmed the sale at approximately $110 million. ### How should vendors adapt their directory strategy after the G2 acquisition? Diversify. The major platforms aren't the only places buyers find software. SourceForge, niche directories, industry-specific sites, and AI search visibility across multiple sources matter more when the big players consolidate. Get your current G2 and Capterra listings right — if one of them becomes the single source of truth, that presence matters a lot. Watch for pricing changes over the next 18 months. And don't put your entire [visibility posture](/glossary/visibility-posture/) in one basket. --- # G2 AI Reviews (Voice and Chat): We Tested Them, Here's the Verdict URL: https://blastra.io/blog/g2-ai-reviews-voice-chat-problems/ Description: We tested G2's AI voice and chat review options end to end: mispronounced product names, lost context mid-conversation, and slower than the traditional form. At Blastra, we recently tested G2's new AI-powered review options—Voice Reviews and AI Chat Reviews—powered by their [June 2025 acquisition of unSurvey](https://www.businesswire.com/news/home/20250610395129/en/G2-Introduces-AI-Led-Conversational-Reviews-and-Research-with-Acquisition-of-unSurvey), a Y Combinator-backed conversational AI startup. We had high expectations. After all, G2 is the leading peer review platform for B2B software, and [its traditional review process](/guides/how-to-get-g2-capterra-reviews/) is notoriously thorough: customers must verify their identity, provide detailed ratings, answer multiple questions, and even submit screenshots proving they actually use your software. It typically takes at least 15 minutes of focused effort. When G2 announced these new "conversational" review methods, we were genuinely excited. We imagined a [Boardy-style](/blog/boardy-ai-networking-guide/) voice experience—natural, intelligent, helpful. The kind of AI that could coax thoughtful responses from busy reviewers with warmth and encouragement. Instead? Well, let's just say we had to be *very* determined to stick through the entire process. And your customers probably won't be. ## Table of Contents 1. [The Voice Review Experience: Not Quite Ready for Prime Time](#the-voice-review-experience-not-quite-ready-for-prime-time) 2. [The AI Chat Experience: Where Conversations Go to Die](#the-ai-chat-experience-where-conversations-go-to-die) 3. [The Time-Saving Myth](#the-time-saving-myth) 4. [Our Take: Don't Risk It (At Least Not Yet)](#our-take-dont-risk-it-at-least-not-yet) 5. [What This Means For You](#what-this-means-for-you) ## The Voice Review Experience: Not Quite Ready for Prime Time We were leaving a review for the G2 platform itself (which we love!), but the voice agent could barely pronounce "G2.com"—it came out as "Geetwo [pause] dot [pause] com." Awkward. Beyond the pronunciation issues, the fundamental problem is that this isn't designed as a conversation. It's designed as a task queue with a voice interface. The AI asks broad questions like "What did you like most about this software?" and then... waits. If the reviewer gets stuck or gives a brief answer, it doesn't help them expand. There are no follow-up prompts, no examples, no "Many customers appreciate features such as..." It simply asks a question, expects a complete answer, and moves to the next question. This isn't conversational AI in the [Boardy sense](/blog/boardy-ai-networking-guide/), where you feel like you're talking to a person and it's calming—it feels more like a voice-activated form with no assistance when your reviewer needs it most. G2 reports that AI has increased the number of completed reviews. We're not in a position to doubt their numbers, but we won't be asking our customers to use the AI options. We simply tell them to mentally prepare for a long form and be ready with a screenshot. (By the way, both AI options let reviewers skip the screenshot part, which is rather odd—it feels like they've eased up on verification.) ## The AI Chat Experience: Where Conversations Go to Die The chat option has identical design issues, and we have receipts. Here's what actually happened when we tried to leave a review: **AI:** "What do you like most about Capterra? Please elaborate on how it adds value to your experience." **Us:** [Provided a thoughtful response about search visibility] **AI:** "Is there anything else you enjoy or think works especially well with Capterra? If possible, could you specify some features?" **Us:** "No" **AI:** "Thinking about specific features or tools within Capterra, which ones do you use or value the most, and why?" **Us:** "nothing comes to mind" **AI:** "Understood. What things about Capterra don't work as well for you, or could be improved?" Notice what's missing? After "No" and "nothing comes to mind," the AI just says "Understood" and marches on. A good conversational AI—or even a human interviewer—would probe differently, offer examples, or reframe the question. Instead, G2's system accepts non-answers and continues through its script. To be fair, the final review that came out of this process was actually decent—well-structured with clear sections for what we liked, what could be improved, and the problems being solved: So the AI does a reasonable job of turning your responses into a polished review format. We're experienced reviewers who knew what to say even without prompting. Your average customer won't be. Interestingly, this feels like an ease-up compared to the original review form, which requires all questions answered with minimum character limits. In this case, the AI may actually be doing a disservice to vendors—you want your customers to say *more* about you, not less. In both cases, the experience did not feel smooth or fast. It felt awkward and irritating. We were determined to complete it, so we did—but otherwise, we would have dropped out. Yes, the original review form is brutal, but at least it doesn't pretend to be anything else. You just fill it out, zero expectations. ## The Time-Saving Myth Here's another wrinkle: even after the reviewer struggles through the conversational interface, they're not done. The system generates text from their responses, and then they have to review and edit that generated text before submitting for approval by G2. So they're essentially doing the work twice—once in the conversation, and once in the review phase. Still less work than filling out the traditional form, but more friction in the process—meaning more chances for your reviewer to jump off before completing. (By the way, we practice what we preach: we reviewed G2 on G2 using the voice option, and Capterra on G2 using the AI chat. Yes, we actually review the platforms we work with.) Despite the extra review step, G2 reports that their AI-powered conversational reviews deliver [between 3 and 10 times more content](https://company.g2.com/news/g2-launches-new-ai-powered-performance-analytics-to-turn-ai-search-visibility-into-increased-pipeline) with greater context compared to traditional reviews. If their data holds up in practice, that could be valuable for [AI discoverability and search rankings](/guides/how-to-get-ranked-on-g2/)—review sites like G2 are increasingly cited by LLMs when recommending software. ## Our Take: Don't Risk It (At Least Not Yet) We appreciate [what G2 is trying to do](/blog/what-is-g2-ai/) here. The vision of friction-free, conversational reviews is compelling, and in theory, richer reviews on peer review platforms should help with [AI-powered software discovery](/blog/saas-seo-ai-tools-stack/). But based on our testing, the execution isn't there yet. You have one shot with your customer to ask for a review. A review filled with "nothing comes to mind" four times won't be approved on G2 anyway. So prepare your customers—tell them to get ready for a long form, have a screenshot handy, and set aside 15 minutes. Don't leave it to chance and risk losing them because the AI didn't load properly or made them freak out halfway through. ## What This Means For You We love G2, and we're looking forward to testing the updated versions of both AI options once they're out. In the meantime, stick with the old-school way. It's not glamorous, but it works. --- ## Recommended Reading Master your G2 presence and review strategy with these essential guides: ### [G2 & Capterra Review Guidelines for SaaS Growth](/guides/how-to-get-g2-capterra-reviews/) Everything you need to know about the traditional review process on G2 and Capterra. Learn what reviewers must prepare and how to guide customers through the 10-15 minute process successfully. ### [How to Get Ranked on G2: The Complete Guide](/guides/how-to-get-ranked-on-g2/) Reviews are just one part of G2 success. Discover the complete ranking algorithm and systematic approach to climbing G2 category grids and improving your visibility. ### [SaaS SEO & AI Tools Stack: The Complete Guide](/blog/saas-seo-ai-tools-stack/) As AI increasingly references G2 reviews for software recommendations, your review strategy needs to align with broader AI discovery tactics. Learn how it all fits together. --- --- # What Are Software Directories (and How They Differ From Marketplaces) URL: https://blastra.io/blog/what-are-software-directories/ Description: Marketplace vs directory: a directory is where B2B buyers discover and evaluate software; a marketplace is where they transact. Why the distinction matters for SEO and AI search. **How to make sense of the software directories landscape and effectively market your product using those platforms** If you sell B2B software, you've probably seen your category dominated by third-party pages that rank for "best [category name] software" queries above your own site. These are Capterra, G2, and [other software directories and peer review sites](/directories/) - the digital "Yellow Pages" for the SaaS era. For product marketing, SEO, and GTM teams, these platforms are critical pillars of a modern strategy because buyers use them to build shortlists, compare alternatives, and seek proof that a product is trusted. Today, [AI is doing the same - digging into these structured sources for recommendations](/blog/b2b-software-directories-ai-seo-strategy/). ## TL;DR Software directories are standardized third-party product pages that help buyers find, evaluate, and trust your software. Success requires treating these as living assets - not a one-time SEO task - to feed both human buyers and AI discovery engines with consistent, high-quality data. ## Table of Contents - [What a Software Directory Is (and Is Not)](#what-a-software-directory-is-and-is-not) - [What Is the Difference Between a Marketplace and a Directory?](#what-is-the-difference-between-a-marketplace-and-a-directory) - [Why Software Directories Influence B2B Decisions](#why-software-directories-influence-b2b-decisions) - [The Anatomy of a High-Performing Listing](#the-anatomy-of-a-high-performing-listing) - [Common Failure Modes and Pitfalls](#common-failure-modes-and-pitfalls) - [A Workflow for Chaos-Free Submissions](#a-workflow-for-chaos-free-submissions) - [Measuring Success: Is it "Working"?](#measuring-success-is-it-working) ## What a Software Directory Is (and Is Not) A software directory, often called peer review site when it features verified reviews from software buyers, is an online catalog that organizes products into categories and surfaces [structured information](/glossary/structured-data/) about each tool and its alternatives. Directories perform three "jobs" for the buyer: 1. **Discovery:** Helping find options by category, use case, or industry. 2. **Evaluation:** Providing consistent fields (features, pricing, integrations) for side-by-side comparison. 3. **Trust:** Using reviews, ratings, and editorial guidance to confirm reliability. Crucially, a directory is not a marketplace — and it's not a launch platform either. The differences matter because each serves a different purpose in your GTM strategy, and the way you approach them should reflect that. ## What Is the Difference Between a Marketplace and a Directory? A marketplace is where transactions happen. [AWS Marketplace](https://aws.amazon.com/marketplace), [Salesforce AppExchange](https://appexchange.salesforce.com/), and [Zapier](https://zapier.com/apps) all have product listings — but the listing exists to facilitate a purchase. The buyer can buy, subscribe, or install directly through the platform. The marketplace takes a cut, handles billing, and often controls the customer relationship. For a founder's walkthrough of what listing on one actually involves, see [How to Launch on AWS Marketplace](/blog/from-the-trenches-fahad-jawaid-straightline/). A directory is where discovery happens. [G2](/directories/g2/), [Capterra](/directories/capterra/), and [SourceForge](/directories/sourceforge/) list products with features, pricing, and reviews — but there is no transaction. The buyer discovers your product, evaluates it against alternatives, and then goes to your website to buy. The directory never touches the money. This distinction has practical consequences: - **On a marketplace**, your listing competes on price and integration depth. The marketplace controls distribution. - **On a directory**, your listing competes on completeness, reviews, and trust signals. You control where the buyer goes next. - **For AI discovery**, directories are more valuable than marketplaces. AI systems pull from directories because they offer standardized, comparable data across vendors — exactly the kind of structured information [AI uses to build consensus recommendations](/blog/ai-search-consensus-pattern-saas-recommendations/). Launch platforms like [Product Hunt](https://www.producthunt.com/) are a third category — they're built around one-time launch events rather than ongoing comparison. Your listing is buried after launch day. On a directory, it stays up permanently in its relevant category. ## Why Software Directories Influence B2B Decisions B2B buying is rarely a linear process, but it is deeply analytical. Most organizations require a "[shortlist](/glossary/shortlist/)" of vendors (often three) compared in a matrix before a purchase is approved. **High-Intent Traffic:** Software buyers use peer review sites during purchase decisions. **De Facto First Impressions:** Strong [directories often outrank vendor pages](https://foundationinc.co/lab/capterra-seo-strategy). For example, Capterra features listings in over 50 languages, often outperforming English-only SaaS websites in international markets. **AI Discovery:** Modern AI models pull recommendations from these structured, categorized, and trusted sources. For example, G2 is one of the most popular sources for B2B software searches, according to the [Profound research](https://www.tryprofound.com/blog/ai-platform-citation-patterns). ## The Anatomy of a High-Performing Listing A strong directory listing rewards three things: completeness, clarity, and consistency. Beyond the basics (name, logo, URL), a top-tier profile includes: - **Context:** Specific category placement and tags. - **Evidence:** Screenshots, videos, or demo assets that match your current UI. - **Details:** Feature checklists, integrations, and supported platforms. - **Trust:** Awards, badges, and recent reviews. A quick glance must answer: "Should I keep looking at this for my use case?" and "Is it trustworthy?". ## Common Failure Modes and Pitfalls Most directory underperformance is self-inflicted. Avoid these common traps: - **Category Mismatch:** Don't guess; look at where your competitors are listed. - **Stale Assets:** Using outdated marketing screens instead of fresh UI visuals kills credibility. - **Pricing Confusion:** If you can't list exact prices, state your model (per seat, quote-based, etc.) clearly. - **Review Silence:** For G2 and Capterra, you must maintain a [steady "review motion" to remain relevant](/guides/how-to-get-g2-capterra-reviews/). - **Unowned Accounts:** Ensure your company - not a former employee or a freelancer - owns the credentials. ## A Workflow for Chaos-Free Submissions Manual submission is tedious, yet it requires a person with deep product knowledge in the loop. To scale without losing quality, use a reliable rollout plan: 1. **Build a Core Profile:** Create one "source of truth" document for features, pricing, and positioning. 2. **Claim Accounts:** Ensure ownership of all profiles. 3. **Customize per Directory:** Adapt text to meet specific platform rules (many require [unique descriptions tailored to each platform](/blog/why-blastra-uses-ai-for-directory-descriptions/)). 4. **Add Measurement:** [Use UTM parameters](/docs/utm-parameters/) where allowed to document which profiles drive traffic. Our [B2B SaaS directory submissions and listings management platform](https://blastra.io) solves this. We centralize your data and act as a done-for-you service with a "human-in-the-loop" helping you [submit your product consistently](/directories/submissions-and-management) while tailoring wording for each site. This ensures you send strong signals to both buyers and AI systems without the manual labor. ## Measuring Success: Is it "Working"? You don't need a complex attribution model to see value. Track these signals: - **Referral Traffic:** Visitors to your demo, pricing, or contact pages. - **Assisted Conversions:** Instances where a directory visit appears in the buyer's path. - **Branded Search Lift:** Increases in people searching for your company name after listings go live. - **Competitive Intel:** Insights gained from category grids and alternatives pages. A directory strategy is won by [consistency across the places](/blog/entity-consistency-ai-search-visibility/) buyers - and machines - keep checking. If you're ready to automate your footprint, see how it works at [Blastra](https://blastra.io). --- ## FAQ ### What is the difference between a marketplace and a directory? A marketplace is where transactions happen — AWS Marketplace, Salesforce AppExchange, and Zapier list products so buyers can buy, subscribe, or install directly through the platform. The marketplace takes a cut and often controls the customer relationship. A directory is where discovery happens — G2, Capterra, and SourceForge list products with features, pricing, and reviews, but no transaction occurs. The buyer discovers your product, evaluates it against alternatives, and goes to your website to purchase. Directories never touch the money; marketplaces do. ### What is a software directory? A software directory is an online catalog that organizes software products into categories and surfaces structured information about each — features, pricing, integrations, reviews. The job it does for buyers is three-fold: discovery (finding options by category or use case), evaluation (consistent fields for side-by-side comparison), and trust (reviews and ratings confirming reliability). Many directories double as peer review sites when they feature verified user reviews. ### What's the difference between a software directory and a launch platform? Directories are built for ongoing comparison — your listing stays up permanently in its category. Launch platforms like [Product Hunt](https://www.producthunt.com/) are built around one-time launch events; your listing gets attention for the launch day and then is buried. Directories reward continuous presence management. Launch platforms reward the launch moment. ### Do software directories still matter in 2026? More than ever, actually — and for a new reason. Directories still drive high-intent buyer traffic during software evaluation, but their role in AI search has grown quickly. AI systems pull from directories because they combine standardized feature data, comparable categories, and verified reviews — exactly the kind of structured information AI uses to build recommendations. G2 and Capterra are among the most-cited domains in ChatGPT responses about B2B software. ### How do AI search engines use software directories? AI systems look for [consensus across independent third-party sources](/blog/ai-search-consensus-pattern-saas-recommendations/) when recommending software. Directories offer standardized fields (pricing, features, integrations), structured categories for comparison, and verified reviews — no other source type offers all three. That's why AI responses often reference G2, Capterra, or SourceForge data when answering questions like "what's the best project management software for remote teams." ### How do B2B buyers actually use software directories? B2B buying is analytical. Most organizations require a [shortlist](/glossary/shortlist/) — often three vendors — compared in a matrix before a purchase is approved. Buyers use directories to build that shortlist: browse a category, filter by features and price, check reviews and badges, then click through to the vendor's website. Strong directory profiles outrank vendor pages in many "best [category] software" queries, which means directories are often the de facto first impression. ### What makes a strong directory listing? Three things: completeness, clarity, and consistency. Beyond the basics (name, logo, URL), a strong profile needs specific category placement and tags, current screenshots that match your actual UI (not outdated marketing shots), clear feature lists and integrations, pricing clarity (even if you can't list exact numbers — state the model), and recent reviews. A quick glance must answer: "Should I keep looking at this for my use case?" and "Is it trustworthy?" --- ## You Might Also Like - [Capterra Rejected Your Listing. Here Is How to Appeal and Get Published](/guides/how-to-appeal-capterra-rejection/) - A practical guide based on real cases on how to appeal Capterra rejections and get published - [Top Software Directories for Cybersecurity Companies](/blog/top-software-directories-cybersecurity-companies/) - Discover top directories for cybersecurity companies to increase visibility and qualified traffic - [More Than Backlinks: How B2B Software Directories Shape Your AI SEO Strategy](/blog/b2b-software-directories-ai-seo-strategy/) - Learn how directories support AI discovery through structured data and verified reviews - [Free B2B SaaS Directories](/directories/free-b2b-saas-directories/) - Browse our curated list of free directories where you can list your software today - [The Software Directories Index](/directories/) - Our pillar index of every directory we cover, from G2 and Capterra to vertical and regional alternatives --- --- # SEO & AI Tools for SaaS: A Practical Stack for 2026 URL: https://blastra.io/blog/saas-seo-ai-tools-stack/ Description: Modern SaaS SEO stacks combine keyword research, content optimization, technical SEO, outreach, and distribution. Here's how to build one that supports scale. SaaS SEO focuses on global product discovery, long consideration cycles, and visibility not only in Google, but also in AI-driven search environments. The goal is ensuring every critical SEO function is handled by the right instrument. **TL;DR:** High-performing SaaS teams build modular SEO stacks across five layers: keyword research (SEMrush, Ahrefs, RankIQ), AI content optimization (SurferSEO, Jasper, ChatGPT, Wellows), technical SEO (Sitebulb, Alli AI, SEOTesting), outreach and backlinks (HARO, Linkody), and product distribution (Blastra). The gap is consistent product presence across directories, review platforms, and AI-generated answers—where buyers make final decisions. Most SaaS SEO stacks focus on keyword research, content production, and on-page optimization. Less covered is [how SaaS products are actually discovered](/blog/top-software-directories-cybersecurity-companies/) — in Google results as well as across directories, review platforms, and AI-generated answers. A modern SEO stack needs to account for where your product appears, beyond how well your pages are optimized. This article outlines a practical SEO stack used by SaaS teams in 2025–2026, focusing on how different tools work together to support product discovery, long consideration cycles, and visibility across both search engines and AI-powered answers. ## Table of Contents - [Local SEO vs SaaS SEO](#local-seo-vs-saas-seo-not-all-seo-is-created-equal) - [Core SEO & Keyword Research Tools](#core-seo-keyword-research-tools-for-saas) - [AI Content & Optimization Tools](#ai-content-optimization-tools) - [Technical SEO Tools for SaaS Websites](#technical-seo-tools-for-saas-websites) - [Outreach, Links & Distribution Tools](#outreach-links-distribution-tools) --- ## Local SEO VS SaaS SEO - not all SEO is created equal SEO is not a one-size-fits-all approach—what works for a small pet shop serving a local town will not perform well for a SaaS company selling its cloud product in a global market. [Local SEO](https://vedranmarkovic.com/glossary/local-seo/) is designed to drive geographic visibility through Maps, Google Business Profile, and location-based searches. SaaS SEO, by contrast, focuses on product-led discovery—ranking for categories, comparisons, alternatives, and appearing in AI-generated answers. While many foundational SEO tools overlap, the strategy, targets, and distribution channels are different. For SaaS companies, the user's physical location is not important, and the decision to try or buy is not made based on the business proximity to the user but on its relevance to the user's problem. So the SaaS SEO stack must support the entire journey—from early research to product comparison and evaluation. This means combining tools that uncover demand, optimize content, ensure technical health, validate changes, and distribute product information consistently across the web. --- ## Core SEO & Keyword Research Tools for SaaS ### SEMrush [SEMrush](https://www.semrush.com/) is an SEO and competitive research platform that helps teams analyze keywords, competitors, and organic visibility. SaaS teams use SEMrush primarily to identify demand and prioritize growth opportunities across categories, use cases, and long-tail queries. **SaaS teams use SEMrush to:** - Find low-difficulty, high-intent keywords - Analyze keyword gaps against competitors - Track organic visibility and ranking trends - Research backlink profiles at a high level **Free version:** Yes **Pricing:** Paid plans start at ~$165/month --- ### Ahrefs [Ahrefs](https://ahrefs.com/) is a backlink and content intelligence platform focused on understanding authority and ranking performance. SaaS teams use Ahrefs to evaluate competitive strength and secure high-quality links that support category pages, comparisons, and product discovery. **SaaS teams use Ahrefs to:** - Analyze competitor backlink profiles - Identify authoritative link opportunities - Track link acquisition and losses over time - Assess which content earns links and why **Free version:** Yes **Pricing:** Paid plans start at ~$129/month --- ### RankIQ [RankIQ](https://www.rankiq.com/) focuses on uncovering low-competition and underserved topics. While often associated with niche publishers, SaaS teams use RankIQ to: - Identify early-stage informational opportunities - Find comparison topics competitors overlook - Support top-of-funnel content strategies This is particularly useful for SaaS companies competing with high-authority domains. **Free version:** No **Pricing:** Paid plans start at ~$49/month --- ## AI Content & Optimization Tools AI tools play a growing role in SaaS SEO by helping teams scale content production, align pages with search intent, and adapt to AI-driven discovery without sacrificing editorial control. One practical example: [a one-person marketing team at Files.com used ChatGPT, ElevenLabs, and Canva to turn two days of event recordings into six months of content](/blog/from-the-trenches-tom-snyder-filescom/). ### SaaS SEO & AI Tools Stack — What, Why, and When | Stack layer | Primary goal | Tools | When it becomes critical | |-------------|--------------|-------|--------------------------| | Keyword & Market Research | Understand demand, keywords, competitors | SEMrush, Ahrefs, RankIQ | From day one — you need this to build strategy and prioritize content topics | | AI Content & Optimization | Create and optimize content for relevance and intent; track AI visibility | SurferSEO, Jasper, ChatGPT, Wellows | When you are scaling content production and need to align with search & AI signals | | Technical SEO | Audit and improve site health, crawlability, structure | Sitebulb, Alli AI, SEOTesting | As site complexity grows (hundreds+ pages) and manual checks become inefficient | | Outreach, Backlinks & Off-Page Signals | Track links, earn media mentions, build visibility | HARO, Linkody | Once you need authority and external signals for competitive categories | | Product Discovery & Distribution | Ensure SaaS products are found across listings | Blastra | When comparison, directory presence, and AI discovery matter for growth | Most SaaS teams do a solid job covering the first four layers — research, content, technical SEO, and authority. In practice, the biggest gap shows up later, when the product starts being actively compared: visibility is no longer determined only by what happens on your website, but by [where your product appears across directories, review platforms, comparison pages, and AI-generated summaries](/blog/b2b-software-directories-ai-seo-strategy/). If that presence isn't managed consistently, even a strong SEO foundation can fail to translate into real discovery at the moment buyers make decisions. ### SurferSEO [SurferSEO](https://surferseo.com/) helps optimize content based on patterns found in top-ranking pages. SaaS teams use it to: - Improve underperforming articles - Align content structure with search intent - Accelerate on-page optimization workflows Most teams treat AI recommendations as guidance rather than rigid rules. **Free version:** No **Pricing:** Paid plans start at ~$79/month --- ### Jasper [Jasper](https://www.jasper.ai/) is an AI content platform built for teams that need brand consistency at scale. It's commonly used for: - Content drafts - Marketing and product copy - Campaign-level messaging For SaaS teams with multiple contributors, Jasper helps maintain a unified voice across channels. **Free version:** Yes **Pricing:** Paid plans start at ~$59/month --- ### ChatGPT [ChatGPT](https://chat.openai.com/) isn't a traditional SEO tool, but it plays a strong supporting role in SaaS SEO workflows. Teams use it for: - Clustering keywords by intent - Analyzing large datasets - Summarizing competitor positioning - Supporting content ideation and research Its value lies in analysis and synthesis, not raw SEO metrics. For a deeper look at how to structure your presence for AI-driven discovery, this guide on [ChatGPT optimization for B2B SaaS](https://alevdigital.com/blog/chatgpt-optimization-b2b-saas-guide/) covers the tactical side. **Free version:** Yes **Pricing:** Paid plans start at ~$20/month --- ### Wellows [Wellows](https://wellows.com/) is an AI visibility platform that helps SaaS teams track how their products appear in AI-generated answers. Teams use it for: - Tracking brand mentions across AI-generated answers (ChatGPT, Perplexity, etc.) - Monitoring visibility changes and competitor mentions over time - Identifying gaps in AI coverage for outreach planning - Running outreach campaigns to sources that influence AI answers - Managing team access with role-based invites for agencies and in-house teams Wellows integrates with Google Search Console and WordPress, making it easy to combine traditional SEO data with AI visibility insights. **Free version:** 7-day free trial **Pricing:** Paid plans start at ~$37/month --- ## Technical SEO Tools for SaaS Websites For SaaS websites with hundreds or thousands of pages, technical SEO tools help teams audit, automate, and validate changes without relying on guesswork or manual fixes. ### Sitebulb [Sitebulb](https://sitebulb.com/) helps SaaS teams conduct technical SEO audits efficiently and accurately. It's used to: - Identify indexability, crawlability, and internal linking issues - Analyze site architecture and page relationships - Detect duplicate content, redirects, and broken links - Prioritize technical SEO fixes with clear explanations and impact **Free version:** Yes **Pricing:** Paid plans start at ~$18/month --- ### Alli AI [Alli AI](https://www.alliai.com/) focuses on automated technical SEO fixes at scale. It's particularly useful for large SaaS sites where manual implementation is slow. The platform can: - Adjust meta tags - Optimize headers - Implement SEO rules across thousands of pages This makes it a time-saving automation layer rather than a strategy driver. **Free version:** Yes **Pricing:** Paid plans start at ~$299/month --- ### SEOTesting [SEOTesting](https://www.seotesting.com/) allows teams to validate SEO changes through controlled tests instead of guesswork. It's used to: - Test title changes - Evaluate content updates - Measure real performance impact before scaling changes This is especially valuable for SaaS teams operating at volume. **Free version:** Yes **Pricing:** Paid plans start at ~$50/month --- ## Outreach, Links & Distribution Tools Consistent directory listings also contribute to off-page SEO by reinforcing brand mentions, backlinks, and entity signals that search engines and AI systems rely on to evaluate SaaS products. ### Blastra [Blastra](https://blastra.io/about) helps SaaS teams manage their presence across software directories and product listing platforms as part of a broader SEO stack. It's used to: - Submit SaaS products to relevant directories - Maintain consistent product descriptions and categories - Support discoverability in both search engines and AI-driven results This is especially valuable for SaaS teams operating at scale, where manual directory management becomes time-consuming and inconsistent. **Free version:** No **Pricing:** One-time payment plans available --- ### HARO [HARO (Help a Reporter Out)](https://www.helpareporter.com/) connects journalists with subject-matter experts. It's used to: - Respond to journalist requests with expert commentary - Earn editorial backlinks from high-authority media outlets - Build brand credibility through third-party mentions This approach is especially valuable for B2B SaaS companies that want authoritative backlinks without manual cold outreach or large-scale link prospecting. **Free version:** Yes **Pricing:** Paid plans start at ~$19/month --- ### Linkody [Linkody](https://www.linkody.com/) is a backlink monitoring and tracking tool. It's used to: - Monitor new and lost backlinks in near real time - Assess backlink quality and detect potentially harmful links - Analyze competitor backlink profiles for strategic insights This is especially valuable for B2B SaaS companies running continuous link-building or digital PR campaigns, where link loss, quality shifts, and competitor activity need to be tracked systematically. **Free version:** Yes **Pricing:** Paid plans start at ~$14.90/month --- ## Wrap-Up There's no single "best" SEO tool. High-performing SaaS teams build modular stacks: - Research tools for insight - AI tools for speed, scale, and visibility tracking - Testing tools for validation - Distribution tools for visibility Tools don't create results on their own—systems do. --- ## You Might Also Like - [More Than Backlinks: How B2B Software Directories Shape Your AI SEO Strategy](/blog/b2b-software-directories-ai-seo-strategy/) — Why niche directories now matter for AI discovery - [How to Get Your Software Ranked on G2 (and Why Invest in It at All)](/guides/how-to-get-ranked-on-g2/) — Master G2's scoring algorithm and earn badges - [Top Software Directories for Cybersecurity Companies (2026)](/blog/top-software-directories-cybersecurity-companies/) — Curated list of cyber directories for CISOs, analysts, and investors - [Building Competitive Advantage Through Strategic Directory Presence](/blog/directory-strategy-competitive-moat/) — Create lasting advantage through directories --- # Top Software Directories for Cybersecurity Companies URL: https://blastra.io/blog/top-software-directories-cybersecurity-companies/ Description: 12 directories ranked for cybersecurity vendors: PeerSpot, Gartner, G2, Capterra, SourceForge, TrustRadius, CyberDB, and more. Domain ratings, traffic, and submission guides. *How cybersecurity players can gain visibility with buyers, analysts, AI systems, and investors* --- ## TL;DR Who wants to miss out on an opportunity to be mentioned by AI and be found via search for "best [category name] software" and "alternative to [competitor name]"? One of the simplest ways to do so is to get listed on popular and niche software directories. Here is a curated list of the top software directories and review sites respected by cybersecurity buyers, investors and LLMs. This guide provides an overview of the best listings platforms for cybersecurity companies in 2026 that help cyber vendors gain visibility with buyers, analysts, investors, and AI systems. These cybersecurity software directories play a major role in how modern decision-makers evaluate products and compare vendors. Learn [how Blastra works](https://blastra.io/about) to get your product listed where decision-makers act. --- ## Why Software Directories Are Critical Today AI assistants and search engines love citing online software directories—yellow-page-like structured catalogs that feature software arranged by categories, functionalities, competitors and often ranked by verified users, providing authentic reviews. In a [recent report from Profound](https://www.tryprofound.com/blog/ai-platform-citation-patterns), one of the most prominent B2B software directories G2 ranked in the top-10 in most cited sources for such platforms as ChatGPT and Perplexity. But AI recommendations are designed individually, based on a user context and are not limited to the first page of Google search. So no broad AI research can replicate what a 46 years old CISO on a 1,000 people manufacturing company in Spain who hates AWS but loves GCP will get for their "best cyber vendor for my GCP setup" query. For a deeper look at how AI visibility tools themselves stack up on these platforms, see our [analysis of AI visibility tools ranked by review platform presence](/blog/ai-visibility-tools-ranked-by-review-platform-presence/). Hence—[highly-targeted niche B2B software directories](/blog/b2b-software-directories-ai-seo-strategy/) are the name of the game in 2026 as they play a critical role in search visibility—both AI and traditional online search. The best thing about listing a company and product in a software directory is that it is a largely one-time effort with submission that then keeps paying off — and if you'd rather not do it in-house, Blastra [handles the submissions for you](/directories/submissions-and-management). And once directories listings are set, the marketing team can focus on ongoing efforts—founder-led LinkedIn activity, applying for industry awards, and boosting [cyber SEO](https://inter-dev.co.il/seo-for-cyber-and-saas-companies/). As outlined in [The Ultimate Guide to Cybersecurity Marketing](https://www.headleymedia.com/resources/the-ultimate-guide-to-cybersecurity-marketing/), building authority in competitive security markets requires clear messaging, thought leadership, and buyer-specific content strategies that reinforce trust over time. --- ## Understanding Cyber Software Directories Directories are essentially catalogs, each with their own taxonomy of categories, subcategories and features. They [classify and map cybersecurity products to their categories](/blog/who-decides-what-your-software-is/), which gives each product a structured presence online. Each directory listing usually undergoes verification by platforms catalog teams, and user reviews always require authentication, which often makes directories a more trusted source of information than the company's own website. All these factors together make it simple for search engines and AI assistants retrieve products for: - Best [category name] software - Competitor comparisons - "Alternatives to X" searches - Market overviews - General security product recommendations Blastra divides software directories into two major buckets, depending of what they feature: **Product-focused directories** — those that feature products. Each product is attributed to specific categories, and a listing contains extensive descriptions of functionalities, integrations, screenshots, and demo videos. Those directories offer comparisons of competing products and verified user reviews, which serve as a foundation for products ranking. **Company-focused directories** — those are more interested in companies themselves. Then there is a team, funding status, and audience they serve. Products and key functionalities are also mentioned but there's less focus on usability and more on the overall trust signals for a company. Ideally, a cybersecurity vendor appears in both product-focused and company-focused directories. Below is our curated list of the top software directories for cybersecurity companies, used by CISOs, analysts, investors, and AI systems to evaluate tools. These cyber security vendor listings cover both product-focused and company-focused platforms. ## Top 12 Cyber Directories for 2026 Summary *Note on metrics: DR (Domain Rating) is a metric from Ahrefs (0–100) estimating how strong a website's backlink profile is. Higher DR usually means better SEO visibility and more trustworthy domain. Traffic data is from Similarweb (Nov 2025).* --- ## Product-Focused Directories for Cyber Vendors *For reaching buyers, supporting comparisons, appearing in AI output, and building credibility with reviews.* ### 1. [PeerSpot](https://www.peerspot.com/) Enterprise software selection platform focused largely on cybersecurity and IT products. Formerly IT Central Station, PeerSpot is used by security teams in large organizations to access and share detailed, experience-based feedback. It has deep coverage of SIEM, SOAR, XDR, IAM, and other cyber categories, making it one of the most detailed public sources for enterprise-grade security product information and peer reviews. The directory is built around detailed product reports and comparisons involving extensive rankings by multiple parameters. Readers can access buying guides for listed products or categories and request calls with verified users who left product reviews. Many of those features are only available for the products that are opted for paid listings. In addition, PeerSpot is an official partner and a first-party review collector for AWS Marketplace, helping vendors listed on AWS drive authentic reviews from their buyers to their [AWS Marketplace listing](https://pages.peerspot.com/aws-marketplace-reviews). As a cyber vendor, you have to be ready for PeerSpot and understand that it is not so much about the submission itself, it's a commitment to invest some budget and time into your profile once you are there. It's a liability as much as an asset and you have to be ready for it. Our [guide to earning PeerSpot badges](/guides/how-to-earn-peerspot-badges/) breaks down what that commitment buys you. --- ### 2. [Gartner Peer Insights](https://www.gartner.com/peer-insights/home) Gartner's enterprise review platform with strong cyber category coverage; requires significant effort to submit and maintain listings. Gartner Peer Insights (GPI) is a trusted source of intelligence during enterprise procurement process. While it is not dedicated to cyber specifically, it offers structured, detailed cyber categories like cloud security, identity, endpoint protection, application security and more. Category pages generally rank well in category search results, with ratings, rankings, reviews and Voice of the Customer reports being taken into account by cyber buyers. For how GPI's ratings, rankings, and Voice of the Customer methodology actually work, see our [guide to how Gartner Peer Insights works](/guides/how-gartner-peer-insights-actually-works/). Each product listing starts not with the product information, but ratings, reviews, users likes and dislikes, and also includes extensive company details such as HQ, number of employees, if the company is private or public etc. Same as with PeerSpot—having a profile on GPI requires an ongoing effort to cultivate reviews from buyers which serves both GPI (driving more traffic and keeping the data fresh) and more importantly the vendor (improving ranking). Being in control of a product listing on GPI also allows a vendor to claim a Capterra account, which opens access to the trinity of Software Advice, Capterra and GetApp (all three [now owned by G2](/blog/g2-capterra-acquisition-closed/)). --- ### 3. [Capterra](https://www.capterra.com/) Reputable G2-owned directory (formerly Gartner Digital Markets) with some security categories and strong SEO presence. Capterra is a general software directory (one of the oldest ones on the web and the very first to introduce software user reviews). While it features more than 2,000 product categories, it only has less than a dozen security-related categories, which are quite generic. Yet it still ranks for searches such as "best [cyber category name] software". A serious benefit of Capterra is that it is localized for more than 50 countries and supports those queries not only in English but in dozens of languages, returning results from local domains such as ".de" or ".co.uk" which AI absolutely loves. The translations are made automatically and although you can customize them, we wouldn't recommend doing so as there's a high chance of forgetting to update the translations when refreshing the listing data. Capterra is now owned by G2 ([acquired from Gartner in February 2026](/blog/g2-capterra-acquisition-closed/)) but is separate from Gartner Peer Insights, which means descriptions and reviews are not shared. So a small player should prioritize accordingly and most likely go with just one of them. If a vendor is a fit for Capterra's audience, it's worth being there—the submission is free and quite straightforward. Also, keep in mind that the taxonomy and profile data are shared with GetApp and Software Advice so if a product fits GetApp and/or Software Advice, you get three listings almost for free. --- ### 4. [GetApp](https://www.getapp.com/) Sister site to Capterra and Software Advice, now part of G2 (formerly Gartner Digital Markets); shares taxonomy and reviews with Capterra. GetApp is now owned by G2 ([acquired from Gartner in February 2026](/blog/g2-capterra-acquisition-closed/)) and offers strong reach in EMEA and LATAM. It shares account, taxonomy and—most importantly—reviews with Capterra and Software Advice, making it an obvious choice for cyber vendors who opted out for Capterra. However, inclusion in GetApp is not automatic for Capterra product profiles—GetApp listing should be requested from within the vendor dashboard and populated with tailored information. Same as with Capterra, if a cyber vendor is a fit, totally worth opening a listing—just keep in mind that you will need a few good reviews that will be shared among the GDM directories to improve ranking. --- ### 5. [Software Advice](https://www.softwareadvice.com/) Sister site to Capterra and GetApp; focuses on buyer guidance and [shortlists](/glossary/shortlist/). Software Advice is now owned by G2 (acquired from Gartner in February 2026) and is traditionally strong in guided comparisons and decision-support content, which increases visibility to buyers who prefer curated shortlists over open-ended searches. Just as GetApp, it shares account, taxonomy and—most importantly—reviews with Capterra, but the listing has to be requested, opened and populated with tailored information. Once you have a vendor account on Capterra, opening a Software Advice listing is a no-brainer. --- ### 6. [G2](https://www.g2.com/) Major B2B directory with trusted badges, awards, and [grid reports](/blog/g2-summer-2026-reports/). G2 is one of the most respected and cited software directories out there. Over the past years they were one of the few who realized the value of their data for AI, so they doubled-down on it, proactively working to become the go to source for B2B software data for LLMs. G2 is a general directory which—just like Capterra—features more than 2,000 software categories, but it is very respected among cyber buyers, including enterprise. Its taxonomy includes a much wider than Capterra range of cybersecurity categories from CSPM and CNAPP to IAM, SOAR, DAST/SAST, MDR, cloud workload protection and more. One caveat however: unlike Capterra—which first existed as a directory and a marketplace and then added reviews—G2 was born with reviews in mind. Everything there is built around reviews. The common wisdom is better to have an unclaimed listing on G2 than claimed profile with a few aged reviews. So, once you are live on G2, you should start constantly [gather fresh reviews (aim for at least 10 per quarter)](/guides/how-to-get-g2-capterra-reviews/). Hard work, but as a reward, good vendors earn ranking, awards and badges which can be put on their websites and help increase conversions. Learn more about [how to get ranked on G2](/guides/how-to-get-ranked-on-g2/). --- ### 7. [SourceForge](https://sourceforge.net/) Originally an open-source projects directory which now lists proprietary tools. Strong technical audience. Syndicates listings to Slashdot and Top Business Software directories. Somehow SourceForge doesn't manage to attract as much attention as G2 or Gartner's family directories. Yet it has almost ten times more traffic (22M monthly users!) and it mostly caters to technical audience, perfect for cyber vendors. It supports quite extensive security categorization, features reviews and product rankings. Reviews there are important but feel less critical than on G2 for visibility. Also, reviews recency does not impact the scoring as it does on G2. Listings on SourceForge automatically appear on Slashdot and Top Business Software directories, which are also part of the SourceForge family. If you collect enough reviews, you can [earn SourceForge's Leader or Top Performer badges](/guides/how-to-earn-sourceforge-badges/) — awarded seasonally to the top 5% and top 10% of highly reviewed products. So while opening a SourceForge listing is a bit of a pain (you will probably have to claim or remove an outdated and duplicated listing from 5+ years ago), it's a worthy investment. --- ### 8. [TrustRadius](https://www.trustradius.com/) Buyer intelligence platform offering in-depth reviews; officially expects 100 customers to allow a listing but is known to be flexible. TrustRadius collects long-form reviews with detailed use cases, helping buyers understand real-world outcomes, not just feature lists. It has more than 20 categories for security products, actively encourages vendors to collect reviews and offers [badges to the most trusted and loved products](/guides/how-to-earn-trustradius-badges/). TrustRadius listing is probably not something you want to start with (they require 100 customers and with their 10% share of G2's traffic are not as impactful) and once you do, try [Blastra's TrustRadius management](https://blastra.io)—it makes opening a listing easier. --- ### 9. [Cyber Security Intelligence](https://www.cybersecurityintelligence.com/) Cybersecurity news site, newsletter, and supplier directory. Cyber Security Intelligence combines editorial content—website and newsletter—with a supplier directory, giving companies exposure to a broad cybersecurity audience beyond strict product comparison sites. There's no user reviews or ranking system, so it won't hurt to list there and simply let the listing run—but also don't expect much out of it. --- ## Company-Focused Directories *For brand recognition, investor visibility, and inclusion in market maps.* ### 10. [CyberDB](https://www.cyberdb.co/) Research platform with curated data on cyber and AI vendors. CyberDB's audience are CISOs, CIOs and CTOs that use it as a platform for vendor research and vetting. The directory was founded by cyber veterans who have strong industry ties, and it manually curates cybersecurity and AI vendors, keeping the directory clean and focused (or some may say a bit old-school). However it is frequently referenced in research reports and ecosystem maps. Submission is handled via a contact form and can take time until you hear back. --- ### 11. [Crunchbase](https://www.crunchbase.com/) Global database of startups and tech companies; tracks funding and company details. Widely used by investors, journalists, and analysts. Helps AI systems understand company relationships and timelines. Without specific connections to cyber, it is still a place where cybersecurity companies get found and evaluated. An absolute no brainer, there's little effort to submit and you are probably already there—just make sure you claim and update your listing. --- ### 12. [Startup Nation Central](https://finder.startupnationcentral.org/) *(Israel only)* Major Israeli innovation ecosystem database with strong cybersecurity coverage. Used by international delegations, investors, and corporations researching the Israeli cyber landscape. It regularly issues market reports, including Israeli security market maps, which feature companies present in the database. If you are an Israeli cyber company, you have to be there—it is a staple on lists of any international delegation coming to Israel. --- ## Which Directories to Start With Based on Your Stage Not every directory makes sense at every stage. Here's where to focus your energy depending on where your cybersecurity company is right now. **Pre-revenue / Seed stage:** Start with free, low-friction directories that establish your online presence. **Crunchbase** (investor visibility, easy setup), **SourceForge** (high DR, technical audience, accepts beta products), and **G2** (create a free profile early — even before you have reviews, the listing itself helps with AI discoverability). If you're Israeli, add **Startup Nation Central**. **Post-launch / Series A:** You have paying customers and can start collecting reviews. Prioritize **G2** (aim for 10+ reviews to appear on the Grid), **Capterra** (which syndicates to GetApp and Software Advice — three listings for the effort of one), and **Cyber Security Intelligence** (easy submission, PR-style exposure). If your product is enterprise-grade, start the **PeerSpot** process now — their onboarding takes time. **Growth / Series B+:** You're competing for category leadership. Add **Gartner Peer Insights** (enterprise procurement credibility), **PeerSpot** (if not already there — deep enterprise cyber coverage), and **TrustRadius** (in-depth reviews that enterprise buyers value). Invest in **CyberDB** for ecosystem recognition. At this stage, maintaining and refreshing all existing listings quarterly becomes as important as adding new ones. **Enterprise / Public:** All directories matter, but the priority shifts to review volume and recency. Budget for G2's paid plan to unlock badge display and review responses. Consider Gartner Peer Insights' vendor programs. Your directory strategy is now about maintaining dominance, not establishing presence. --- ## Best Directory by Cybersecurity Subcategory Different directories have stronger coverage in different security domains. Here's where to prioritize based on your product category. | Subcategory | Best directories | Why | |-------------|-----------------|-----| | **SIEM / SOAR / XDR** | PeerSpot, G2, Gartner Peer Insights | PeerSpot has the deepest enterprise SIEM coverage; G2 has the most granular subcategories | | **Endpoint / EDR** | G2, Gartner Peer Insights, SourceForge | High review volume on G2; Gartner carries procurement weight; SourceForge reaches technical evaluators | | **IAM / Identity** | G2, PeerSpot, Capterra | G2 and PeerSpot have dedicated IAM categories; Capterra covers mid-market identity tools | | **Cloud Security / CNAPP / CSPM** | G2, Gartner Peer Insights | G2 has specific CNAPP and CSPM categories; Gartner links to Magic Quadrant research | | **Application Security / DAST / SAST** | G2, SourceForge | G2 has fine-grained AppSec categories; SourceForge reaches the developer audience that evaluates these tools | | **GRC / Compliance** | G2, Capterra, TrustRadius | Broad category with mid-market and enterprise buyers across all three platforms | | **Network Security / Firewall** | PeerSpot, Gartner Peer Insights, G2 | Established enterprise categories with deep review coverage | | **Email Security / Anti-Phishing** | Capterra, G2, SourceForge | Strong mid-market presence on Capterra; G2 covers enterprise; SourceForge adds technical reach | This table reflects category depth and review volume as of early 2026. If your subcategory isn't listed, G2 is the safest default — it has the broadest cybersecurity taxonomy of any general directory. --- ## FAQ ### Which directories are best for enterprise cybersecurity vendors? PeerSpot and Gartner Peer Insights. PeerSpot specializes in enterprise IT/cybersecurity (SIEM, SOAR, XDR, IAM). Gartner Peer Insights carries analyst credibility and is heavily referenced in enterprise procurement. ### How do Capterra, GetApp, and Software Advice relate to each other? All three share the same account, taxonomy, and reviews (now [owned by G2](/blog/g2-capterra-acquisition-closed/)). Listings aren't automatic — you must explicitly request and populate GetApp and Software Advice separately. ### Should I prioritize Capterra or Gartner Peer Insights? Depends on your target. Capterra: mid-market buyers, 50+ localized domains. Gartner Peer Insights: enterprise buyers, analyst credibility. Choose based on your primary segment. ### How important are reviews for directory visibility? Critical on G2 — everything is built around reviews. Aim for 10+ fresh reviews per quarter. On SourceForge, reviews matter less. Learn more in our [review guidelines](/guides/how-to-get-g2-capterra-reviews/). ### Do niche directories like CyberDB matter for AI visibility? Yes. AI uses "query fan-out" across dozens of sources including niche directories. CyberDB provides contextual signals helping AI understand your cybersecurity positioning. ### What's the difference between product-focused and company-focused directories? Product directories (PeerSpot, G2) emphasize features, integrations, reviews. Company directories (CyberDB, Crunchbase) emphasize team, funding, trust signals. Appear in both types. ### How often should I update my directory listings? Quarterly minimum. Fresh content may carry 3x the weight of stale pages in AI retrieval. Update immediately after product changes, integrations, or pricing updates. ### How can Blastra help with directory management? [Blastra](https://blastra.io/cybersecurity) centralizes submissions across directories, keeps information consistent, and reduces manual work. Check [pricing plans](https://blastra.io/pricing) for packages suited to cybersecurity products. --- ## Get on the List or Report an Error Want to be included in this list? Found a mistake? Drop us a line at **ceo@blastra.io** --- ## You Might Also Like - [More Than Backlinks: How B2B Software Directories Shape Your AI SEO Strategy](/blog/b2b-software-directories-ai-seo-strategy/) — Why niche directories now matter for AI discovery - [How to Get Your Software Ranked on G2 (and Why Invest in It at All)](/guides/how-to-get-ranked-on-g2/) — Master G2's scoring algorithm and earn badges - [G2 and Capterra Review Guidelines](/guides/how-to-get-g2-capterra-reviews/) — Ensure your reviews pass verification checks - [Building Competitive Advantage Through Strategic Directory Presence](/blog/directory-strategy-competitive-moat/) — Create lasting advantage through directories - [Software Directories That Actually Reach Latin America](/blog/software-directories-latin-america/) — Regional coverage for vendors selling to LATAM buyers - [Introducing Visibility Posture](/blog/introducing-visibility-posture-alpha/) — See what your directory presence actually looks like - [SaaS Review Strategy: How to Stand Out Where Others Stay Silent](/guides/how-to-handle-software-reviews/) — Turn reviews into competitive advantage --- # B2B Software Directories & AI SEO Strategy for SaaS URL: https://blastra.io/blog/b2b-software-directories-ai-seo-strategy/ Description: Learn how B2B software directories support AI SEO, and SaaS visibility via structured data and verified reviews. A practical directory strategy for modern search. *For years, most B2B software vendors treated directories outside of G2 and Capterra as peripheral marketing assets—useful for backlinks, sometimes helpful for credibility, but not central to discovery. In the Google-first era, that mindset made sense. Visibility depended on ranking in a small number of high-authority places.* *But AI-powered discovery has changed how products are found. Not because buyers suddenly browse niche directories more often, but because AI systems adjust answers based on user context—location, industry, role, company size, and even previous search intent.* A buyer in Singapore may prompt AI to check APAC-focused directories. A cybersecurity researcher in Germany may trigger results from DACH-specific security indices. A martech buyer in Brazil may unknowingly pull in data from a LATAM marketing tools catalog. AI does not rely on a single global set of "top" directories. It relies on context, and context influences which sources AI retrieves during its internal search process. Long-tail, niche, and regional software directories—once considered insignificant—now play a meaningful role in how AI understands your product and your competitive landscape. At [Blastra](https://blastra.io), we define this new reality as **Software Footprint Management**: maintaining consistent, accurate product information across the full ecosystem of directories so AI can correctly interpret, categorize, and recommend your software. ## AI Discovery Has a Different Logic Than Human Search A human buyer performs a linear search journey: skim a Google results page, open a few links, skim again, and maybe check [G2](https://www.g2.com). AI retrieval does not resemble this pattern. Research from Profound NYC in their [Zero-Click 2025: The Machine Customer Era](https://www.tryprofound.com/resources/the-machine-customer-era) study shows that AI systems expand a single user query into multiple related searches—a process known as "query regularization." A normal question can produce five to seven parallel sub-queries, each explored independently. These queries yield dozens of URLs, often fifty or more, pulled from across the web beyond the first page of Google. From this pool, AI filters out pages based on several trust signals: structure, consistency, depth, and freshness. Only a handful of pages—typically five to seven—are fully read before the model synthesizes an answer. And critically: **Even identical questions can produce different results**, depending on phrasing, geography, user history, and the model's internal state. This variability means no single research study can definitively map how AI retrieves information. But the directional pattern is clear: AI systems tend to elevate structured, comparable, and frequently updated sources—a precise description of B2B software directories. ## Why B2B Software Directories Fit AI's Retrieval Patterns [Software directories](/directories/) provide something AI systems can interpret with high confidence: **consistency**. Every listing follows the same predictable format: - category - feature lists - integration lists - pricing fields - screenshots - metadata - alternatives and competitors - user reviews This structure creates an ordered, comparable representation of software products. Vendor websites vary wildly in layout and vocabulary. Directories do not. **Freshness also matters.** According to [Profound NYC](https://www.tryprofound.com/resources/the-machine-customer-era), recently updated content may carry up to three times the weight of stale pages during retrieval. Semantic URLs matter too; pages like "/best-crm-for-startups" show higher citation likelihood in AI-generated answers. Complementary findings from [Ahrefs' AI SEO Statistics](https://ahrefs.com/blog/ai-seo-statistics/) also show that AI tends to cite structured, category-based, list-based, or comparison-based URLs more than generic content pages. There is field evidence too: [Perceptric](https://perceptric.com/blog/best-ai-seo-agencies/), an AI SEO agency, reports that among their B2B SaaS clients, companies appearing in well-structured [listicles](/glossary/listicle/), directories, and comparison pages get cited by LLMs at a much higher rate than those relying solely on their own website content. The pattern suggests that improving LLM visibility requires both — influencing the sources that LLMs pull from, and making sure you are one of those sources. Directories naturally satisfy these conditions. That makes them appealing retrieval candidates for AI systems. If you're looking to [get ranked on G2](/guides/how-to-get-ranked-on-g2/), understanding this dynamic is essential. ## The Trust Layer: Moderation and Crowd Validation Another reason directories align naturally with AI retrieval is the human-in-the-loop verification they offer. Most major and mid-tier directories invest in: - review authentication - moderation - spam detection - consistent categorization AI systems treat these human verifications as credible signals. A parallel example is Reddit, whose community moderation makes it a high-quality source for AI training and retrieval—a dynamic discussed on [Lenny's podcast with Ethan Smith, CEO of Graphite, the leading SEO growth agency](https://www.youtube.com/watch?v=iT7kq-R3Gjc). Niche directories are smaller and therefore rarely appear in research datasets, but they share the same advantages: authenticated data, real user input, and structured product schemas. Understanding the [review guidelines for platforms like G2 and Capterra](/guides/how-to-get-g2-capterra-reviews/) helps ensure your reviews pass these verification checks. Even without scale, they provide valuable contextual signals during AI fan-out retrieval. ## How AI Learns What Your Product Actually Is To recommend software, AI must understand: - [category placement](/guides/how-g2-ai-categories-work/) - competitors - features - integrations - vertical relevance - ideal customers - use cases - customer sentiment Your homepage cannot provide all this information. Directories—major, niche, vertical, and regional—fill these gaps. Category placement specifically is what AI systems rely on to map your product to a buyer's use case — the [G2 AI categories guide](/guides/how-g2-ai-categories-work/) walks through how those placements get made and which AI categories still have room. AI systems pull signals from: - review platforms such as [G2](https://www.g2.com), Capterra, GetApp, and Software Advice ([G2 2025 Buyer Behavior Report](https://learn.g2.com/hubfs/G2-2025-Buyer-Behavior-Report-AI-Always-Included.pdf)) - horizontal directories like [SourceForge](/guides/understanding-sourceforge/) and [SaaSHub](https://www.saashub.com) - martech, devtools, AI tools and [cyber directories](/blog/top-software-directories-cybersecurity-companies/) - regional catalogs across APAC, LATAM, India, and Europe - integration ecosystems and partner marketplaces - long-tail listings unique to certain industries or geographies A competitor with complete presence across these ecosystems provides AI with a clear, consistent set of signals. A vendor with missing or outdated listings does not. That difference directly affects how the model represents each product in a recommendation task. You can even [learn from your competitors' G2 reviews](/blog/g2-competitor-strategy/) to understand what signals AI might be picking up about your category. ## Why Software Footprint Management Is Now Essential According to the [G2 Buyer Behavior Report 2025](https://learn.g2.com/hubfs/G2-2025-Buyer-Behavior-Report-AI-Always-Included.pdf), generative AI tools have become the most influential factor in software [shortlist](/glossary/shortlist/) decisions—more than analysts, websites, or salespeople. If AI determines whether a buyer ever encounters your product, then your footprint across directories becomes part of your AI visibility infrastructure — and you can [have Blastra build and maintain that footprint](/directories/submissions-and-management) for you. A strong [software footprint](/glossary/software-footprint-management/) ensures that: - AI sees accurate, consistent data about your product—which is why [how directory descriptions are written](/blog/why-blastra-uses-ai-for-directory-descriptions/) matters - your category and competitive context are clear - integration and feature signals align across sources - regional directories reinforce your positioning - structured metadata supports correct interpretation Directories are no longer about backlinks. They are about context, classification, and discoverability in an AI-driven world. The companies that maintain a consistent footprint across the entire directory ecosystem will be the ones AI understands—and recommends—first. This is the operating logic behind [SaaS listings management](/blog/what-is-saas-listings-management/) as a discipline—and why [building a strategic directory presence](/blog/directory-strategy-competitive-moat/) creates a lasting competitive advantage. --- ## FAQ: Answers to Common Questions ### Do niche directories really matter for AI visibility? Yes. AI uses "query fan-out" to pull from dozens of sources including niche directories. These provide contextual signals about your relevance to specific industries, regions, or use cases — increasing your chances of being recommended. ### How is AI discovery different from traditional SEO? Traditional SEO ranks pages for keywords. AI synthesizes information from multiple sources to generate answers, prioritizing structured, consistent, and recently updated content. Directories fit these criteria better than vendor websites. ### What is Software Footprint Management? The practice of maintaining accurate, consistent product information across all relevant directories — major platforms, niche verticals, and regional catalogs. This ensures AI correctly interprets and recommends your software regardless of query context. ### How often should I update my directory listings? Quarterly at minimum. Recently updated content may carry 3x the weight of stale pages in AI retrieval. Update immediately after feature releases, pricing changes, or new integrations. ### Can I focus on just G2 and Capterra and ignore other directories? No. AI pulls from diverse sources based on context — German buyers trigger DACH directories, security researchers surface industry platforms. A comprehensive strategy covers major, niche, vertical, and regional directories — and even within G2 and Capterra, [navigating both platforms after the acquisition](/guides/how-to-navigate-g2-and-capterra/) requires its own approach. See our [free B2B SaaS directories list](/directories/free-b2b-saas-directories/) for a curated starting point. ### Are directories enough for AI visibility? Directories are essential for structured, comparable data that AI systems prefer. But comprehensive AI visibility also requires investing in your own content as a citation target. For guidance on content structure and multi-channel visibility, see AI Advantage Agency's guide to [AI search visibility for SaaS](https://aiadvantageagency.com/ai-search-visibility-for-saas/). --- ## You Might Also Like - [G2 vs Capterra Vendor Pricing Compared](/blog/g2-capterra-vendor-pricing-compared/) - Feature-by-feature breakdown of what's free and what costs money on each platform - [25 Software Badges That Should Matter More Than a Reddit Thread](/blog/software-badges-decoded-ai-trust-signals/) - Why AI ignores badge signals and what directories could do about it - [Building Competitive Advantage Through Strategic Directory Presence](/blog/directory-strategy-competitive-moat/) - How to build an enduring advantage through strategic directory presence - [How to Get Your Software Ranked on G2 (and Why Invest in It at All)](/guides/how-to-get-ranked-on-g2/) - Master G2's scoring algorithm and earn those coveted badges - [How to Win Customers by Learning from Your G2 Competitor Reviews](/blog/g2-competitor-strategy/) - Turn competitor reviews into your growth advantage - [How G2 Is Building G2.ai Into an Expertise Marketplace](/blog/what-is-g2-ai/) - G2's own answer to AI-era software buying, explored firsthand --- --- # Boardy Pro & Boardy AI Networking Guide: How It Works [2026] URL: https://blastra.io/blog/boardy-ai-networking-guide/ Description: What Boardy Pro and Boardy AI are and how they work — including the paid Boardy Pro tier that turns warm intros into closed deals. A practical 2026 guide. You've probably seen him. That funny guy with a cardboard box for a head, wearing a suit, dropping comments and posting what seems like absolute nonsense under serious LinkedIn posts. Meet Boardy - the AI super-connector who's changing how professionals network. ## The Unlikely Origin Story Boardy launched in October 2024 and quickly raised $3 million in pre-seed funding, followed by an impressive $8 million seed round led by Creandum in January 2025. But here's where it gets wild: the seed round was raised almost entirely by Boardy itself - investors spoke with the AI bot and were so impressed they decided to invest before even talking to the human team. The company was co-founded by Andrew D'Souza (who previously co-founded [Clearco](https://www.clear.co/)), Matt Stein, Shen Sivananthan, and brothers Ankur and Abhinav Boyed. D'Souza describes Boardy as "half OpenAI, half Pixar" - a perfect blend of cutting-edge AI and memorable character that makes every interaction feel surprisingly human. The cardboard box head and quirky persona are all part of making AI feel less intimidating and more like that helpful connector everyone wishes they had in their network. Here's how it works: you connect with Boardy on LinkedIn, give him your phone number, and he calls you. Yes, an actual phone call with an AI that sounds surprisingly human. You'll hear a friendly Australian accent that immediately sets you at ease, and you just chat naturally about what you're working on and who you need to meet. And if you prefer texting you can also chat with him on WhatsApp instead. [Boardy's intro on LinkedIn](https://www.linkedin.com/posts/boardy_ai-intros-to-real-humans-activity-7382481084187377664-Jkrj?utm_source=share&utm_medium=member_desktop&rcm=ACoAAADYAxoBGE__lZOn2yxGKW5cNiSQ_gzQWhM) ## What Boardy Actually Does Before we dive into the connector magic, understand that Boardy is more than just a networking tool. It's really up to you to come up with ideas on how to use him, but as a very bare minimum, he can: - Be your strategic sounding board when you're wrestling with business decisions - Simulate investor conversations to help you nail your pitch before the real meeting - Role-play customer objections so you're battle-tested before the sales call But the most important is being your connector: the LinkedIn Networking feature is where it gets interesting. This turns Boardy from a helpful chatbot into a serious networking asset. ## Boardy Pro: From Introductions to Closed Deals In June 2026, Boardy shipped its biggest update yet — **Boardy Pro** — and the framing was blunt: "I'm done making intros. Boardy Pro is here. Now I make deals happen." The reasoning is worth sitting with. By Boardy's own count, the introduction is only about 10% of the work. The other 90% is everything that comes after: scheduling the meeting, showing up prepared, saying the right thing in the room, and following up until the deal closes. Boardy Pro is built to handle that 90%. In practice, that means Boardy now: - Schedules the meeting and keeps the thread moving - Joins the call as an active participant who speaks up in the room - Records meeting notes and tracks action items - Follows up and nudges when momentum fades Boardy claims deals close 50% faster when he's involved. That's a company figure rather than an independent one, so treat it as a directional signal — but the shift in scope is real: this is the move from warm introductions to working a deal toward close. The launch itself was a small case study in the kind of distribution we think about constantly at Blastra. Four posts across X and LinkedIn pulled in roughly 20,000 comments over two days — no paid ads, no outside influencers. The first 5,000 people to sign up got Boardy Pro free for life, and that window filled in about two hours. After that, Boardy Pro runs $100/month. Boardy also pulled early Pro members into an Advisory Board, handing each of them five invites worth a year of free Pro to share. ## The Framework: How to Get Connection Requests That Actually Lead Somewhere Most people fail at networking because they spray and pray. They connect with everyone, write generic messages, and wonder why nothing happens. Here's the strategic framework that actually works. ### Step 1: Get Clear on What You Actually Need Start by having an honest conversation with Boardy about: - What you do and what your company offers - What you need right now (not eventually - right now) - Your specific networking goals for the next 30-90 days Not sure how to articulate this? Just ask Boardy: "Can you help me figure out exactly who I should be talking to?" He'll ask the right questions to help you crystallize your thinking. Example conversation starter: > "Hey Boardy, I run a B2B SaaS company helping accounting firms automate client onboarding. We're pre-revenue and looking to close our first 10 customers in the next 60 days. Can you help me figure out who I should be connecting with?" ### Step 2: Let Boardy Hunt, But Make Him Explain His Thinking Ask Boardy: "Can you find people I should talk to about [your specific need]?" When Boardy suggests profiles, don't just accept them. Most people miss this step. Here's the better approach - ask: - "Why do you think this person is a good fit for me?" - "What concerns should I have about this match?" - "Is there anyone better in your network for this specific need?" This back-and-forth accomplishes three things: 1. You understand the why behind each connection 2. You spot potential red flags before wasting time 3. You learn how to evaluate connections yourself Real example: **Boardy:** "I think you should talk to Sarah Chen, VP of Product at AccountTech Solutions." **You:** "Why Sarah specifically? And are there any reasons this might not be a good fit?" **Boardy:** "Sarah's been building tools for accounting firms for 6 years and just launched a new product category. She's mentioned looking for partnerships. The only concern is that her company might see you as a competitor rather than a partner." **You:** "That's helpful. Do you have someone who's more clearly in the partner category rather than potential competitor?" Pro tip: Boardy is also on WhatsApp, which is even more convenient than phone calls. He'll send you LinkedIn links of the people he recommends, making it super easy to check them out before deciding. ### Step 3: Review Before Send (This Is Critical) When you've agreed on a connection, Boardy will ask: "Should I make this introduction?" Stop right there. Say: "Yes, but show me what you plan to write first." Look at the draft and ask yourself: - Does this sound like me, or like a robot? - Does it clearly explain the value for both sides? - Is the tone right for this person's style and seniority? - Would I respond to this message if I received it? Make adjustments freely: - "Can you make it less formal? This person posts memes on LinkedIn." - "Can you emphasize the mutual benefit more? I don't want it to sound like I'm just asking for a favor." - "Can you mention that I read their recent article about [topic]? I want them to know I did my homework." This step turns good introductions into great ones. It's the difference between a 30% response rate and a 70% response rate. ### Step 4: Close the Loop (Most People Skip This) After your conversation with the new connection, go back to Boardy and debrief. If it went well: > "Just talked to Sarah - she's amazing! She introduced me to two potential customers and offered to review our product roadmap. Can you find more people like her?" If it didn't: > "The call with Mark didn't go anywhere. He's focused on enterprise and we're SMB. Can you adjust your filter to avoid that mismatch in the future?" This feedback makes Boardy smarter about what you need. Over time, the quality of matches gets better because he's learning your actual preferences, not what you think you want. ## Getting Started: How to Actually Connect with Boardy It's ridiculously simple: 1. Search for "Boardy" on LinkedIn (look for the guy with the cardboard box head) 2. Send him a connection request 3. Once connected, slide into his DMs with a quick intro about what you're working on 4. Boardy will set up a phone call with you, or you can chat via WhatsApp for even easier back-and-forth That's it. Your AI networking assistant is ready to work. Important note: the core Boardy experience — connecting, talking, and getting warm introductions — is still free, with introductions capped at 3 per day. Conversations are unlimited, so you can talk strategy, brainstorm, and refine your approach as much as you want; you just get three actual intros per day, so use them wisely. If you want Boardy to go past the introduction and help you close — scheduling, joining meetings, follow-up — that's Boardy Pro, now $100/month after the free-for-life launch cohort filled up. ## Think Outside the Box: Listing Yourself on Boardy's Radar Here's where things get interesting, and we need to talk about distribution strategy that most people completely miss. At Blastra, we help companies [get discovered](https://blastra.io). We're all about smart [directory listings and positioning](https://blastra.io/about) that puts you in front of the right people at the right time. But here's an out-of-the-box approach that most founders aren't thinking about: listing yourself in Boardy's mental directory. Traditional directory listings are static. You list your company, add some keywords, maybe get some traffic. Boardy is different. He's a dynamic, intelligent directory that learns, adapts, and actively makes recommendations. When someone in his network needs what you offer, Boardy doesn't wait for them to search - he proactively makes the connection. Most founders think about Boardy as a tool to help them find people. That's thinking inside the box. The opportunity is making sure you're the person Boardy recommends when others come looking. And with Boardy Pro now carrying conversations all the way to a close, being the name he surfaces is worth more than it was when he only made the introduction. ### The Out-of-the-Box Directory Strategy Start this conversation with Boardy: > "Boardy, I want to make sure you recommend me when people are looking for someone with my background. Can we work together to optimize how you introduce me to others?" Boardy will help you craft a compelling system introduction that captures: - Your unique value proposition (what makes you different) - The specific problems you solve (not generic descriptions) - Your ideal collaboration scenarios (who you're best suited to help) - Your unfair advantages (what you bring that others can't) Boardy is also helping other people in his network. When someone tells Boardy "I need to find a fractional CFO with experience in SaaS," you want to be the first person he thinks of. Think of it like SEO, but for human connections. You're optimizing yourself to appear in Boardy's "search results" when the right opportunities arise. While everyone else is treating Boardy like a Rolodex they search through, you're positioning yourself as a featured listing in an intelligent, always-on directory that actively markets you to qualified prospects. This is distribution strategy that thinks outside the cardboard box. And yes, we're going to keep making box puns because that's the kind of memorable positioning that actually works. ## Networking That Scales Think about your typical networking reality: - You spend hours scrolling LinkedIn - You craft thoughtful messages that go unanswered - You attend events and collect business cards that go nowhere - You follow up until you feel like you're being annoying - Meanwhile, your actual business needs attention Now imagine this instead: - While you sleep, Boardy is identifying potential connections. - While you're building your product, Boardy is making warm introductions. - While you're in customer meetings, Boardy is representing you professionally to new opportunities. - While you're spending time with family, Boardy is building your network strategically. Professional networking no longer has to be a second full-time job. With Boardy, you get constant, strategic, high-quality networking without the soul-crushing overhead. By mid-2026, Boardy had spoken with more than 166,000 people, made over 114,000 introductions, and facilitated roughly $63 billion in capital introductions — with an average match time of about 17 hours. These are real relationships that have led to funding, partnerships, customers, and co-founders. ## A Few Pro Tips for Power Users ### 1. Batch your Boardy conversations Set aside 30 minutes every Friday to debrief with Boardy about your week. Who was valuable? What new needs emerged? This regular check-in keeps your networking aligned with your evolving goals. ### 2. Use Boardy for introductions you're scared to ask for Need to connect with someone way out of your league? Let Boardy handle it. He has no ego and no fear of rejection. The worst case is the same as if you never asked. ### 3. Share your wins publicly When Boardy makes a connection that leads to something real, post about it. Tag both Boardy and the connection. This social proof helps everyone - it shows Boardy is valuable, it elevates your connection, and it builds your credibility. ### 4. Think long-term Not every connection will pay off immediately. Some of the best relationships take months or years to blossom. Trust Boardy's judgment even when the value isn't immediately obvious. ### 5. Give as much as you get When Boardy asks if you're open to being introduced to someone who could use your help, say yes when you can. The network only works if people are generous with their time and expertise. ### 6. Max out your daily intros strategically You get three introductions per day. Don't waste them on lukewarm opportunities. Use them for the connections that could genuinely move your business forward. Save the exploratory conversations for later. And remember: while you're using Boardy to find people, make sure Boardy knows how to position you when others come looking. That's the out-of-the-box distribution strategy that actually scales. --- ## FAQ: Answers to Common Questions ### What is Boardy? Boardy is an AI "super-connector" — a bot with a cardboard-box avatar and a friendly Australian accent that calls you, talks through what you're working on, and then makes warm introductions to the right people in its network. It launched in October 2024, and by mid-2026 had spoken with more than 166,000 people and made over 114,000 introductions. The core product is free, with introductions capped at 3 per day. ### What is Boardy Pro? Boardy Pro is the paid tier Boardy launched in June 2026, priced at $100/month. Where free Boardy stops at the introduction, Pro handles the 90% that comes after — scheduling the meeting, joining it as a participant, following up, and supporting the deal until it closes. Boardy's own framing was blunt: "I'm done making intros. Now I make deals happen." The first 5,000 sign-ups got it free for life, and that window filled in about two hours. ### Is Boardy free, and what does Boardy Pro cost? The core product is still free: unlimited conversations, with introductions capped at 3 per day — a limit that nudges you toward strategic intros over spray-and-pray. As of June 2026 there's also a paid tier, Boardy Pro at $100/month, which takes things past the introduction: scheduling, joining meetings as a participant, follow-up, and deal support. The first 5,000 Pro sign-ups got it free for life, but that window closed in about two hours. ### How does Boardy Pro compare to other ways of networking? The closest alternatives fall into three buckets, and Boardy Pro sits in the gap between them. LinkedIn and its algorithmic suggestions surface names but never actually broker the introduction. A well-connected human advisor makes warm intros but doesn't scale and won't sit in your calendar chasing follow-ups. Generic AI schedulers and assistants handle the logistics but have no network of their own to introduce you to. Boardy Pro is unusual in combining the warm, context-rich introduction with the follow-through — scheduling, showing up, and nudging the deal along — in one place. Whether that's worth $100/month comes down to whether closing, not just meeting, is your bottleneck. ### How is Boardy different from LinkedIn's connection recommendations? LinkedIn suggests based on algorithms (mutual connections, industry). Boardy has actual conversations to understand your needs, then makes warm introductions with context. Algorithm vs. trusted friend saying "you need to meet Sarah — here's why." ### Can Boardy really help with investor introductions? Yes — already facilitated founder-investor connections, including its own seed round. Set realistic expectations: Boardy makes intros, but pitch, product, and timing still matter. ### What should I tell Boardy in my first conversation? Be specific: what you're building, who you need, why those connections matter. Generic requests get generic results. Example: "Raising seed for B2B SaaS helping accounting firms automate onboarding — need intros to vertical SaaS investors." ### Is there a way to get more than 3 introductions per day? No. 3 daily cap applies to all users. Maximize quality — use intros for connections that genuinely move your business forward. Use conversations to refine targeting first. *Here is what Boardy's creator Andrew wrote on his LinkedIn a few weeks ago: "It feels like bringing a character to life. We're shaping his personality, watching him evolve, and seeing how people respond in ways we can't predict."* --- ## Recommended Reading Ready to take your distribution strategy beyond networking? These complementary approaches will help you build systematic visibility and get discovered by the right people: ### [Directory Strategy as Competitive Moat: The Hidden Advantage of Systematic Presence](/blog/directory-strategy-competitive-moat/) While Boardy helps you network with individuals, strategic directory presence ensures you're discoverable when people search for solutions like yours. Learn how to build an enduring advantage through systematic visibility. ### [How to Get Included in Zapier's Listicles](/blog/how-to-get-included-in-zapier-listicles/) The holy grail of B2B marketing is getting into LLM recommendations. For software companies, the path runs through Zapier's authoritative blog. Discover the step-by-step process. ### [How to Get Your First Customers from Your Competitor](/blog/g2-competitor-strategy/) A proven manual strategy for B2B SaaS companies to win customers from competitors using G2 reviews. Perfect complement to Boardy's networking approach for customer acquisition. --- --- # How to Get Included in Zapier Listicles (SaaS Growth Guide) URL: https://blastra.io/blog/how-to-get-included-in-zapier-listicles/ Description: Learn how to get included in Zapier listicles and boost B2B SaaS visibility through software comparison lists, submissions, and trusted mentions. The holy grail of today's marketing is getting into LLM recommendations. Randomized studies cite Reddit as one of the most quoted sources for some engines, leading to obsession over gaming Reddit for visibility. But those randomized queries aren't particularly useful for SaaS companies - sources differ dramatically between consumer questions ("best pizza near me") and business recommendations ("best project management software for remote teams"). For specialized queries about business software, we have a different leader. And the leader is... Zapier. In our recent experiments testing LLM recommendations for SaaS products, Zapier's blog consistently appears alongside Capterra, TechCrunch, and other reputable publications (see our [LLMy Awards report here](/blog/llmy-awards-top-10-ai-writing-assistants-2025/) for examples). When someone queries Claude, ChatGPT, or Perplexity about the best tools in virtually any software category, these systems cite Zapier as an authority. They're not pulling recommendations from thin air - they're referencing sources that have earned credibility through comprehensive research and editorial integrity. This represents the new frontier of software distribution: [AEO (Answer Engine Optimization)](/glossary/aeo/), GEO (Generative Engine Optimization), and NEO (Neural Engine Optimization). Traditional SEO focused on ranking in Google search results. The new game is getting your product recommended when users ask AI systems for solutions—a shift we explore in depth in [how B2B software directories shape your AI SEO strategy](/blog/b2b-software-directories-ai-seo-strategy/). And for B2B software, that path runs directly through sources like Zapier's authoritative blog, and understanding [how Blastra gets you listed in top software directories](https://blastra.io/about) helps you see why distribution matters beyond SEO. ## How Zapier Built AI-Trusted Authority Zapier is an automation platform that connects different apps - the digital duct tape holding your tech stack together. Their blog strategy is brilliantly aligned with their core business: by comprehensively reviewing and comparing thousands of apps across every category, they've become the authoritative resource for understanding which tools work best and how those tools connect through their platform. It's a masterclass in strategic content marketing that drives both discovery and distribution for the tools they feature. Hitech veterans may recall Intercom's blog, which at some point became one of the most credible sources of up-to-date knowledge about product management and customer success. Zapier has achieved something similar for software recommendations, but at a much larger scale. While most SaaS blogs churn out recycled [listicles](/glossary/listicle/) and half-baked "thought leadership," Zapier took a different approach. Their approach is obsessive, borderline-fanatical app testing combined with editorial transparency that both humans and AI systems recognize as trustworthy. **Comprehensive testing, not superficial reviews.** Before writing [The Best Meeting Scheduler Apps](https://zapier.com/blog/best-meeting-scheduler-apps/), Zapier's team spends dozens of hours actually using meeting schedulers. They create real meetings, test booking flows, evaluate UI, stress-test integrations, and contact support when things break. For internal tool builders, they build actual tools. Everything gets logged in spreadsheets and evaluated against objective criteria they define upfront. **Clear, objective evaluation criteria.** For each category, they determine what actually matters to users - whether that's customization for calendar apps or data sources for tool builders. Then they test every app against these benchmarks, explaining their methodology transparently. This structured approach makes their content valuable for AI models seeking authoritative recommendations. **Relentless publishing and updating.** Zapier maintains an entire ["Best Apps" category](https://zapier.com/blog/all-articles/best-apps/) with hundreds of comprehensive listicles that get updated regularly. Many articles show recent updates from 2024 and 2025, proving they're constantly refreshing content to maintain accuracy. This living database of software recommendations keeps getting better. **Uncompromising editorial independence.** Zapier's team works independently from other stakeholders. They're never paid for placement, even by Zapier partner apps. They don't favor apps their own team uses. This integrity is precisely why LLMs trust them - algorithms can spot paid placements and bias from a mile away. Millions of monthly views and consistent citations in AI-powered search results followed. When an LLM recommends tools, it cites Zapier because Zapier earned that authority through quality and transparency. ## The Smart Move: Zapier Made It Open Here's where Zapier's strategy gets even smarter. Rather than keeping their listicles as a walled garden, they built an open submission system where companies can propose their products for consideration - [Zapier's Blog Suggestions Form](https://zapier.com/blog/suggest). This openness serves multiple purposes. It ensures comprehensive coverage across categories, surfaces new tools they might have missed, and maintains their commitment to featuring the best apps rather than just the ones that pitch them. But the openness comes with rigorous standards - they've documented their complete evaluation methodology at [How We Select Apps](https://zapier.com/blog/selecting-apps/), so everyone knows exactly what it takes to get included. This combination of accessibility and transparency is what makes Zapier's recommendations valuable for both human readers and AI models. They're not gatekeeping, but they're also not including everyone who asks. ## What It Takes to Get Included Zapier's selection process reveals what makes content trustworthy in the AI era. Understanding their criteria helps you navigate their submission system effectively - and improves your broader AEO, GEO, and NEO strategy: **Merit over money.** Zapier doesn't accept payment for placement. Your product gets evaluated purely on whether it's actually good at what it does. This is precisely why their content gets cited in AI search results - the recommendations are genuinely credible, not advertorial content dressed up as reviews. **Category fit and clear differentiation.** When Zapier reviews a category, they define what features matter most to real users. Your product needs to deliver on those fundamentals. Even excellent apps don't make the list if another product better fills that specific "best for [X]" position. This specificity is what makes their recommendations valuable for GEO and NEO - AI models need clear differentiation between similar tools. **Real-world testing that matters.** Their team will actually use your product as regular users would. They'll test your onboarding, explore features, invite teammates, and contact support when things break. Poor user experience, confusing onboarding, or buggy core features will keep you out - not because Zapier is harsh, but because their readers (and AI systems citing them) need reliable recommendations. **Existing evaluation may have happened.** Sometimes apps aren't included because Zapier already tested them and found better alternatives. The app universe is huge, and only the genuinely best options make the cut. This rigorous curation is exactly what makes their listicles worth citing. ## How to Use Zapier's Submission System Understanding the process helps you approach it strategically: **The submission form** at [https://zapier-blog-suggestions.zapier.app/form](https://zapier-blog-suggestions.zapier.app/form) requires specificity. Explain which article your product fits into and what makes you uniquely valuable. Generic "please include us" submissions get lost. Detailed ones demonstrating understanding of their criteria and your specific "best for [X]" positioning get serious consideration. **Understand their evaluation process** at [https://zapier.com/blog/selecting-apps/](https://zapier.com/blog/selecting-apps/). Here's what matters: Zapier starts by defining what features are essential for each category, then researches comprehensively across industry sources and community feedback. They test every app as a real user would - signing up, using core features, inviting teammates, and contacting support. They're looking for apps with unique strengths that serve specific user needs, beyond "good enough" solutions. You don't need to be a [Zapier partner](https://zapier.com/platform/partner-program) to qualify - their editorial team evaluates apps regardless of partnership status or connections. What matters is having a clear "best for [X]" positioning that fills a genuine gap in their coverage. This methodology works for Zapier submissions and doubles as a blueprint for building AEO, GEO, and NEO credibility across all authoritative sources. **Set realistic expectations.** Zapier is transparent about their process: they can't guarantee inclusion, they have a backlog, and they won't respond to every submission. Submit once with your best case when your product is genuinely ready for scrutiny, then focus on making your product undeniably good. **Think beyond one channel.** Zapier is one strong source of AI search visibility, but smart distribution strategies target multiple authoritative sources. While pursuing Zapier inclusion, invest in your own SEO, create quality content, engage your community, and pursue other credible directories that AI models reference — Blastra can [submit and manage those directory listings](/directories/submissions-and-management) for you. Build AEO, GEO, and NEO presence across the entire web. ## Why This Matters for Your Distribution Strategy Zapier's success reveals a fundamental shift in software discovery. Traditional SEO still matters, but increasingly, purchase decisions start with AI-powered queries. Users ask Claude or ChatGPT for recommendations, and these systems cite sources they trust. Zapier earned that trust through comprehensive testing, objective evaluation, and editorial independence. This is the new distribution game. It's not enough to rank in Google anymore - you need to be recommended when users ask AI for solutions. The path to those recommendations runs through trusted, comprehensive sources like Zapier's blog. Their approach offers a blueprint: create content so thoroughly researched and objectively valuable that both humans and AI naturally reference it. This is distribution built on substance rather than manipulation. Getting featured in sources like Zapier requires building products so good they deserve the recognition. The submission form is open. The evaluation criteria are public. Your product quality determines the rest. Build something genuinely excellent, understand what makes your solution uniquely valuable, and make your case clearly. That's how you earn visibility in AI-powered recommendations. ![Zapier blog suggestions form interface](/images/posts/zapier-suggestions-form.png) *The Zapier blog suggestions form - your gateway to editorial coverage* --- ## FAQ: Answers to Common Questions ### Why does Zapier's blog matter for AI recommendations? AI models frequently cite Zapier's blog as authoritative when recommending software. Being featured increases your chances of appearing in AI-generated recommendations when users ask for tool suggestions. ### Does being a Zapier integration partner help with blog inclusion? No. Editorial operates independently from partnerships. They evaluate apps on merit — whether your product deserves "best for X." Integration is useful for users but doesn't influence coverage decisions. ### How long does Zapier take to respond to submissions? Unpredictable. They maintain a backlog and can't respond to everyone. Some never hear back; others get included months later. Submit once with your best case, then focus on building product quality. ### What makes a strong "best for X" positioning? Specific strengths serving distinct needs. Generic positioning fails. Strong: "best for solo consultants needing fast scheduling" or "best for enterprises with complex approval workflows." Be specific about who you serve best. ### Should I submit to Zapier if my product is new? Wait until ready for scrutiny. Zapier's team tests onboarding, features, and support. Poor UX hurts chances. Launch on Product Hunt first, collect [G2 reviews](/guides/how-to-get-g2-capterra-reviews/), then approach Zapier when polished. ## You May Also Like If you found this guide helpful, check out these related articles: - **[How to Get Your Software Ranked on G2](/guides/how-to-get-ranked-on-g2/)** - Learn G2's scoring algorithm and how to build a sustainable review strategy - **[Directory Strategy as Competitive Moat](/blog/directory-strategy-competitive-moat/)** - Build an enduring advantage through systematic directory presence - **[How to Get Your First Customers from Your Competitor](/blog/g2-competitor-strategy/)** - Win customers from competitors using G2 reviews - **[What is Peerlist and Should Your Startup Be There?](/blog/what-is-peerlist-should-startup-be-there/)** - Understanding Peerlist's unique position in the startup ecosystem - **[LLMy Awards: The Top 10 AI Writing Assistants](/blog/llmy-awards-top-10-ai-writing-assistants-2025/)** - Consensus-based ranking of the best AI writing tools --- --- # Top 10 AI Writing Assistants 2025 (LLMY Awards) URL: https://blastra.io/blog/llmy-awards-top-10-ai-writing-assistants-2025/ Description: Discover the top AI writing assistants of 2025 ranked by LLMY Awards. Compare tools, use cases, and learn how AI content impacts SaaS SEO and visibility. Every day, we ask leading AI models—from ChatGPT to Claude, Perplexity, Grok, and Gemini—to tell us what software they think is best across a wide range of categories. Today's focus: AI Writing Assistants. After consulting multiple engines, reviewing over a dozen expert sources, and comparing rankings from both creators and critics, we present the final, consensus-based Top-10 list of AI writing assistants for 2025. ## Final Top-10 AI Writing Assistants | Rank | Tool | Notable Strengths | |------|------|------------------| | 1 | **[Grammarly](https://www.grammarly.com)** | Grammar, rewriting, fluency; now includes generative AI | | 2 | **[ChatGPT](https://chat.openai.com)** | Versatile, conversational, long-form, brainstorming | | 3 | **[Jasper](https://www.jasper.ai)** | Marketing copy, team collaboration, structured writing | | 4 | **[Copy.ai](https://www.copy.ai)** | Social content, ads, fast idea generation | | 5 | **[Claude](https://claude.ai)** | Creative writing, long-form, safe context handling | | 6 | **[Sudowrite](https://www.sudowrite.com)** | Fiction, creativity, character/dialogue generation | | 7 | **[Writesonic](https://writesonic.com)** | SEO + ad copy, ChatSonic chatbot, flexibility | | 8 | **[Anyword](https://anyword.com)** | Conversion-focused marketing, performance prediction | | 9 | **[Rytr](https://rytr.me)** | Lightweight, affordable, multilingual support | | 10 | **[Wordtune](https://www.wordtune.com)** | Rewriting, tone control, sentence-level suggestions | ## What Did the AI Engines Consult? Each engine pulled from a variety of sources. Here's a breakdown of the research inputs behind their lists. ### Perplexity AI Perplexity cited a broad range of expert-curated sources, including: - **Enago Academy**: Top AI Writing Assistants in 2025 - **EmailVendorSelection.com**: 27 Best AI Writing Tools in 2025 - **AIOSEO**: 11 Best AI Writing Tools for Savvy Marketers (2025 Edition) - **Forbes**: The Best AI Writing Tools To Punch Up Your Prose (March 2025) - **Thesify**: 10 Best AI Tools for Academic Writing 2025 - **RivalFlow**: The 10 Best AI Writing Tools in 2025 These rankings evaluated tools across general, academic, marketing, and creative writing use cases, and considered grammar correction, citation management, SEO support, and collaboration capabilities. ### Claude (Anthropic) Claude drew on hands-on reviews, marketplace comparisons, and detailed performance breakdowns, including: - [Kindlepreneur](https://kindlepreneur.com) - [RivalFlow](https://www.rivalflow.com) - [Medium](https://medium.com) - [EmailVendorSelection](https://www.emailvendorselection.com) - [TechRadar](https://www.techradar.com) - [Synthesia](https://www.synthesia.io) - [ALOA](https://aloa.co) - [Zapier](https://zapier.com) - [AuthorityHacker](https://www.authorityhacker.com) - [GrowthMarketingPro](https://growthmarketingpro.com) These sources emphasized content quality, feature richness, pricing, user feedback, and adoption trends. ### Grok Grok used real-time web search and manual exploration of: - [Kindlepreneur](https://kindlepreneur.com) - [EmailVendorSelection](https://www.emailvendorselection.com) - [TechRadar](https://www.techradar.com) - [Surfer SEO](https://surferseo.com) - [Forbes](https://www.forbes.com) - [AIOSEO](https://aioseo.com) This mix emphasized both review authority and SEO-centric use cases. ### Gemini Gemini's list was based on: - [RivalFlow AI](https://www.rivalflow.com) - [Kindlepreneur](https://kindlepreneur.com) - [Forbes Vetted](https://www.forbes.com/vetted/) - [TechRadar](https://www.techradar.com) - [DevOpsSchool](https://www.devopsschool.com) - [G2 reviews](https://www.g2.com) Its approach blended editorial evaluations with real user ratings and usage insights. ## Methodology Each AI model was prompted with the same question: “What are the best AI writing assistants in 2025?” We collected their responses, tallied how frequently each tool was mentioned, and analyzed the sources behind their answers. Tools mentioned most often across engines and cited sources made it into the top 10. ## Why This Matters With so many AI writing tools available, creators often face decision fatigue. Our goal is to highlight which tools rise to the top regardless of which model you ask. This consensus-based ranking offers a trustworthy snapshot of what's truly popular and effective in 2025. The convergence of opinions from different AI models—each with their own training data and biases—provides a more balanced perspective than any single recommendation. Whether you're looking for grammar correction, marketing copy, creative writing, or SEO optimization, this list represents the tools that consistently deliver results across use cases. For software companies, understanding [how AI systems discover and recommend products](/blog/b2b-software-directories-ai-seo-strategy/) has become essential for visibility. For daily rankings across AI categories, visit [blastra.io](https://blastra.io). --- ## FAQ: Answers to Common Questions ### How do AI models decide which tools to recommend? AI synthesizes from multiple sources — publications, review sites, expert blogs, comparison platforms. Tools consistently appearing across authoritative sources rank higher. ### Why does Grammarly rank #1 across AI models? Grammarly appears in virtually every authoritative source about writing tools. Grammar correction plus style suggestions plus generative AI makes it universally recommended. ### Can new AI writing tools break into these rankings? Yes — build presence across sources AI references: [G2/Capterra reviews](/guides/how-to-get-g2-capterra-reviews/), authoritative publications, consistent positive coverage. AI rankings reflect broader consensus. ### How often do AI tool rankings change? Rankings shift as sources update. Tools maintaining strong directory presence, recent reviews, and new publication mentions stay current. Stale coverage leads to lower rankings. ### What's the methodology behind the LLMy Awards? We prompt multiple AI models (ChatGPT, Claude, Perplexity, Grok, Gemini) with identical questions, analyze recommendations and citations. Most frequently mentioned tools across models make the consensus ranking. ## You Might Also Like - [What is Peerlist and Should Your Startup Be There?](/blog/what-is-peerlist-should-startup-be-there/) - Understanding Peerlist's unique position in the tech networking space - [The Strategic Advantage of Directory Marketing: Why B2B SaaS Can't Afford to Ignore It](/blog/directory-strategy-competitive-moat/) - Learn how directory presence creates a competitive moat - [How to Get Your Software Ranked on G2 (and Why Invest in It at All)](/guides/how-to-get-ranked-on-g2/) - Master G2's scoring algorithm and earn those coveted badges --- --- # Blastra: Should You Launch Your Project on Peerlist? Explained URL: https://blastra.io/blog/what-is-peerlist-should-startup-be-there/ Description: Learn what Peerlist is, how startups can use it for visibility and hiring, and whether your SaaS should create a profile there in 2026. You've probably seen Peerlist mentioned in startup circles but haven't quite figured out what it actually is. The platform keeps popping up in discussions about professional networking, product launches, and hiring, leaving many founders wondering if they should care about yet another social platform. Peerlist sits somewhere between LinkedIn, Product Hunt, and GitHub, while being distinctly different from software directories like [G2](https://www.g2.com) or [Capterra](https://www.capterra.com)—which focus on product discovery and reviews (learn more about [building competitive advantage through strategic directory presence](/blog/directory-strategy-competitive-moat/)). Founded in 2020 during the pandemic by married cofounders Yogini Bende and her husband as a side project, it combines elements of professional networking, project showcasing, and portfolio building for technical professionals. ## The Problem It Solves Cofounder Yogini Bende describes Peerlist as “a proof-of-work professional network for people in tech to showcase the work they're doing across the internet on a single page.” The frustration that led to its creation was surprisingly common among technical professionals. As [developer blogger Ashish Maurya explains](https://blog.peerlist.io/p/why-are-we-building-peerlist) the founder's experience: “She (Yogini) had to update her resume and share her work links. EVERY BLOODY TIME. Her work was distributed on different platforms, like Github and DEV. And her LinkedIn profile was useless to showcase her work.” ## So It's Kind of Like LinkedIn for Tech People? Not exactly. Many technical people have become frustrated with LinkedIn's evolution. [Mahyar Mirrashed writes](https://www.mahyar.page/peerlist-better-linkedin-for-tech): “LinkedIn is a mess... it's devolved into a Facebook-like cesspool” while “Peerlist is the antidote” with “Clean, Modern UI” and a “Curated Community.” While LinkedIn focuses on where you worked and what credentials you have, Peerlist aggregates your actual work from GitHub, Dribbble, Medium, Product Hunt, and other platforms into one unified profile. Instead of listing job titles, you're showing what you've actually built and created. ## How It Actually Works With around 100,000 users reached by early 2025, Peerlist remains small compared to LinkedIn's 1+ billion users or Product Hunt's millions of monthly users. However, considering LinkedIn launched in 2003 and Product Hunt in 2013, Peerlist's growth in just 5 years suggests meaningful traction within its target niche. The user base has expanded beyond the initial developer focus to include “product managers writing case studies” and “Cofounders, CTOs, and investors” who “use Peerlist to add their portfolio companies, which is a use case we didn't expect,” [according to Bende](https://blog.railway.com/p/peerlist-professional-network-yogini-bende). But here's where it gets interesting for startups: Peerlist also functions like a mini Product Hunt. Users post their projects daily, staff picks one for community voting and feedback. Unlike Product Hunt's broad tech audience, the voting and feedback come entirely from developers, designers, and technical product managers. For startup founders building developer tools or technical products, this creates a more focused discovery mechanism. You're not trying to explain your API documentation tool to marketing professionals—you're showing it to people who actually use APIs. ![Peerlist platform interface showcasing developer profiles and project listings](/images/posts/peerlist-profile.png) *Peerlist profiles aggregate work from multiple platforms into one comprehensive portfolio for technical professionals* ## Beyond Individual Profiles The platform evolved beyond individual profiles into something more comprehensive for startups. The job search aspect developed organically. [Hiring manager Yashodhan Deshmukh shared his experience](https://twitter.com/yash_deshmukh/status/1447215892765478912): “every single person who applied for this job was a designer... everything that I needed was in the Peerlist profile itself, dribbble feed+ link, Behance link medium posts and link, side projects, resume everything that was looking for was in the profile.” Bende notes that “CTOs of many startups and many unicorns have reached out to us saying that people have started applying for jobs with their Peerlist profile” because “everything is right in front of the hiring people, making the initial call on whether to go ahead with the candidate or not has started becoming pretty easy for them.” For startup founders, this creates a double opportunity: accessing pre-qualified technical talent and being discovered by quality candidates who understand what you're building. The platform's international community means you're not limited to local talent pools. ## The Strategic Question As [Peerlist's own analysis notes](https://peerlist.io/blog): “In recent years, we all have experienced the shift from traditional degrees to more outcome-oriented work! Unless you can get the work done, your relevant degrees have much less importance than they used to be.” So should your startup be there? It depends entirely on what kind of founder you are and what you're building. The platform offers three main benefits for the right startups: establishing technical credibility within the developer community, accessing pre-qualified technical talent for hiring, and getting qualified feedback on technical products from people who actually understand them. Unlike broader platforms like LinkedIn (general professional networking) or Product Hunt (wide consumer discovery), Peerlist focuses specifically on the technical community that evaluates quality work based on demonstrated output rather than marketing claims. ## What This Means For You **You should invest time in Peerlist if you're:** - A CTO or technical founder who actively builds and ships features - Building products for developers or technical audiences - Looking to hire technical talent from a pre-qualified pool - Contributing to open source or writing technical content regularly - Seeking technical partnerships or co-founder connections **Skip it if you're:** - Purely business-focused without technical output to showcase - Looking for broad professional networking beyond the tech community - Seeking traditional VC or business development connections - Not consistently creating demonstrable work The key differentiator is that Peerlist rewards actual work output over credentials. If your startup's success depends on building credibility within the technical community, accessing technical talent, or getting feedback from people who understand code, Peerlist offers a focused alternative to broader platforms. For most B2B SaaS startups, especially those targeting developers or technical teams, establishing a presence makes strategic sense. The time investment is minimal compared to maintaining profiles across multiple platforms, and the concentrated technical audience means higher quality connections for your specific needs. --- ## FAQ: Answers to Common Questions ### Is Peerlist a replacement for LinkedIn? No — it complements LinkedIn. Peerlist serves technical professionals showcasing work output; LinkedIn covers broad professional networking. Most users maintain both. ### How big is Peerlist compared to other platforms? ~100,000 users (early 2025) — tiny versus LinkedIn's 1B+ or Product Hunt's millions. Smaller means more focused, engaged community for technical professionals. ### Can I launch my product on Peerlist like Product Hunt? Yes. Peerlist has daily project posting with community voting. Key difference: feedback comes exclusively from developers, designers, and technical PMs. Better for dev tools than Product Hunt's broader audience. ### How do I launch a product on Peerlist? Create a Peerlist profile, add your project with a clear description and visuals, then submit it for the daily community spotlight. For a detailed walkthrough covering profile setup, timing, and promotion tactics, [Tetriz put together a step-by-step launch guide](https://www.tetriz.io/blog/how-to-launch-a-product-on-peerlist/). ### What should I showcase on my Peerlist profile? Demonstrable work: GitHub projects, technical posts, design portfolios, side projects, open source contributions. Platform rewards "proof of work" over credentials — show what you've built. ### Is Peerlist worth the time for non-technical founders? Probably not. Value centers on technical output. Non-technical founders are better served by LinkedIn for networking and product directories for discovery. ## You Might Also Like - [The Strategic Advantage of Directory Marketing: Why B2B SaaS Can't Afford to Ignore It](/blog/directory-strategy-competitive-moat/) - Learn how directory presence creates a competitive moat for your B2B SaaS - [How to Get Your Software Ranked on G2 (and Why Invest in It at All)](/guides/how-to-get-ranked-on-g2/) - Master G2's scoring algorithm and earn those coveted badges - [G2 & Capterra Review Guidelines: The Complete Playbook for B2B SaaS](/guides/how-to-get-g2-capterra-reviews/) - Everything you need to know about managing reviews on G2 and Capterra --- --- # Why Skip Clutch: Directory Submission Strategy for B2B SaaS URL: https://blastra.io/blog/why-skip-clutch-focus-on-directories/ Description: Why Clutch listings are not suitable for B2B SaaS. Compare visibility, backlinks, and scalable SaaS directory strategies. We've observed that lists and AI recommendations keep repeating the same error: including [Clutch](https://clutch.co) in "recommended directories where startup founders should list their product." While Clutch is indeed a valuable platform, there's a fundamental misunderstanding happening here that can waste your time and resources. Understanding [how AI discovers and recommends B2B software](/blog/b2b-software-directories-ai-seo-strategy/) helps clarify why this distinction matters. What these recommendations miss is that Clutch, unlike [Capterra](https://capterra.com) or [G2](https://g2.com), is not a product directory at all. **Clutch is a service marketplace.** ![Clutch homepage showing service providers, not software products](/images/posts/clutch-snapshot.png) *Image source: Clutch.co* ## What Clutch Actually Is Clutch is specifically designed for businesses to find and hire **service providers** - not to discover software products. The platform connects companies with: - Web development agencies - Mobile app development firms - Digital marketing agencies - IT service providers - Design studios - Consulting firms **Clutch is fundamentally about services, projects, and agency partnerships** - not software products that users can sign up for and use. ![Example of a typical Clutch listing showing an agency profile](/images/posts/clutch-listing-example.png) *A typical Clutch listing showcases agencies and their client work. Image source: Clutch.co* ## The Key Differences **Clutch focuses on:** - Verified reviews of agencies and service providers - Project-based work and client relationships - Detailed interviews with clients about their experience working with agencies - Service provider portfolios showcasing client work - Connecting businesses with firms for custom development, marketing campaigns, and consulting projects **Product directories like Capterra and G2 focus on:** - Software products and SaaS tools (e.g. [cyber product listings](/blog/top-software-directories-cybersecurity-companies/)) - Feature comparisons between competing products - [User reviews of software functionality](/guides/how-to-handle-software-reviews/) ([How to Win Customers by Learning from Your G2 Competitor Reviews](https://blastra.io/blog/g2-competitor-strategy)) - Pricing information for software subscriptions - Helping businesses find tools they can purchase and implement ## What This Means For You Don't let generic "directory submission" lists lead you astray. Clutch is an excellent platform - for service providers. But if you're building a SaaS product, you belong in software directories where potential customers are actually looking for solutions like yours. Save yourself the time and focus on platforms where your ideal customers are actively searching for software products, not agencies to hire. --- ## FAQ: Answers to Common Questions ### What exactly is Clutch used for? B2B service marketplace for agencies and service providers — web developers, marketing agencies, IT consultants. Built for project-based work and client-agency relationships, not software product discovery. ### Can I list my SaaS product on Clutch at all? No — Clutch isn't designed for software products. Buyers there seek agencies to hire, not software to buy. Your product would be invisible to the wrong audience. ### What directories should SaaS founders focus on instead? Product directories: G2, Capterra, GetApp, Software Advice for reviews; Product Hunt and BetaList for launches; SaaSHub for discovery. Built for software comparison with features, pricing, and user reviews. ### Why do AI lists keep recommending Clutch for SaaS? AI conflates "B2B directories" without distinguishing service marketplaces from product directories. Always evaluate whether platforms match your buyer's journey — hiring an agency vs. buying software. ### Is there any scenario where a SaaS company should use Clutch? Only if you offer professional services (implementation, consulting, custom development) alongside your product. List services separately. Your software product belongs on G2, Capterra, and product directories — and Blastra can [handle those submissions and keep them current for you](/directories/submissions-and-management). ## You Might Also Like - [The Strategic Advantage of Directory Marketing: Why B2B SaaS Can't Afford to Ignore It](/blog/directory-strategy-competitive-moat/) - Learn how directory presence creates a competitive moat for your B2B SaaS - [How to Win Customers by Learning from Your G2 Competitor Reviews](/blog/g2-competitor-strategy/) - Turn competitor reviews into your growth advantage - [How to Get Your Software Ranked on G2 (and Why Invest in It at All)](/guides/how-to-get-ranked-on-g2/) - Master G2's scoring algorithm and earn those coveted badges --- --- # How to Win Customers From Competitor G2 Reviews: A B2B SaaS Guide URL: https://blastra.io/blog/g2-competitor-strategy/ Description: How to find your first B2B SaaS customers by targeting competitor unhappy reviewers on G2 — a step-by-step outreach guide. How to get your first customers from your competitor (for B2B SaaS) - manually, using G2. No fancy AI agents or mass cold-outreach involved. This manual approach complements your [broader directory strategy](/blog/directory-strategy-competitive-moat/) and helps you understand what buyers actually care about. Use [Blastra — SaaS directory submission & management](https://blastra.io/) to submit your business to relevant software directories and manage your listings. ## The Strategy Before diving in — we built a little game inspired by how software review grids work. Dodge bad reviews, push toward Made It: ### Step 1: Find Your Competitor's Unhappy Customers Search for your competitor's profile on [G2](https://www.g2.com), and navigate to the Reviews section. ### Step 2: Filter for Pain Points Use the filter to find 1-3-star reviews. Look at what users are complaining about (recently). Then look for reviewers who have their names displayed (some choose to hide, but many don't). ### Step 3: Research the Reviewer Press on the user's name to open the reviewer's profile on G2. Some will have a LinkedIn link right there, and some won't, but you can still find them via LinkedIn search. ### Step 4: LinkedIn Outreach — What to Say to a Frustrated Reviewer Go on LinkedIn and drop them a message (if you don't have LinkedIn Premium, you may have to send the connection request first). Open your message with: > "Saw your [competitor] review on G2 re [main problem from their review]. I want to show you how we solved it, any chance we could speak?" ### Step 5: Scale Thoughtfully Write 10 such messages, you may get 2-3 calls from that, and if your solution is solid, they will give it a try. ## Why This Works This approach is effective because: 1. **Timing is perfect** - They're already frustrated with their current solution 2. **Context is relevant** - You're addressing their specific pain point 3. **Approach is personal** - You've done your homework and it shows 4. **Intent is clear** - They're actively using and evaluating solutions in your space ## Key Tips for Success - **Be specific**: Reference their exact complaint from the review - **Be helpful**: Focus on solving their problem, not selling your product - **Be respectful**: Don't bash the competitor, focus on your solution - **Be patient**: Not everyone will respond, but those who do are highly qualified ## The Numbers Game From a batch of 10 personalized messages: - Expect 2-3 positive responses - Convert 1-2 into actual calls - Close 20-30% of those calls if your solution truly addresses their pain This manual approach might not scale infinitely, but for early-stage B2B SaaS companies looking for their first customers, it's a goldmine of qualified leads who are already experiencing the exact problems you solve. Once you start getting customers, encourage them to leave reviews—see our [guide to getting quality reviews on G2 and Capterra](/guides/how-to-get-g2-capterra-reviews/). Remember: These are warm prospects who have already demonstrated they need a solution in your space and are dissatisfied with their current option. That's the best kind of lead you can find. --- ## FAQ: Answers to Common Questions ### Is it ethical to target competitors' unhappy customers? Yes. They've publicly shared frustrations. You're offering solutions to openly discussed problems. Be helpful, not predatory — focus on solving their pain point, not bashing competitors. ### What if the reviewer's LinkedIn profile is private? Focus on reachable reviewers. Many G2 reviewers display names and LinkedIn profiles directly. Quality outreach matters more than reaching everyone. ### How do I avoid coming across as spammy? Reference their specific complaint — shows you've done homework. Keep messages short, focused on their problem. Ask for conversation, not commitment. One thoughtful message beats ten generic pitches. ### How often should I check competitor reviews for new leads? Weekly. Recent frustrated reviewers are more open to alternatives. System: check weekly, identify 5-10 prospects, send personalized messages. ### Can this strategy work for enterprise sales? Yes, with adjustments. Use competitor reviews to understand category pain points, prepare for objections, and customize pitches. The intelligence is valuable even when direct outreach isn't possible. ## You Might Also Like - [The Strategic Advantage of Directory Marketing: Why B2B SaaS Can't Afford to Ignore It](/blog/directory-strategy-competitive-moat/) - Learn how directory presence creates a competitive moat for your B2B SaaS - [How to Get Your Software Ranked on G2 (and Why Invest in It at All)](/guides/how-to-get-ranked-on-g2/) - Master G2's scoring algorithm and earn those coveted badges - [Why SaaS Founders Should Skip Clutch (And Focus on Real Product Directories Instead)](/blog/why-skip-clutch-focus-on-directories/) - Understanding the difference between service marketplaces and product directories - [G2 Alternatives: Where Else to Build B2B SaaS Presence](/directories/alternatives-to-g2/) - Review sites and directories ranked by traffic, beyond G2 --- --- # Directory Submission Strategy as a Competitive Moat URL: https://blastra.io/blog/directory-strategy-competitive-moat/ Description: Directory marketing as a competitive moat: how systematic presence on B2B SaaS directories compounds into SEO, AI visibility, and buyer trust paid channels can't replicate. *While most startups treat directory listings as a simple marketing task to check off, they're missing something bigger: the compound effect of being systematically present across key platforms. Unlike paid advertising, you can't simply buy your way into AI recommendations - but you can build a foundation that makes your company the natural choice. At Blastra, we help SaaS teams operationalize this foundation by [maintaining consistent, structured listings](https://blastra.io) across key directories.* ## The AI Citation Advantage AI systems increasingly pull recommendations from established directories when answering business software queries. This creates a powerful double benefit - directory presence helps both traditional SEO and AI recommendations. When ChatGPT suggests software solutions, it frequently references platforms like [G2](https://www.g2.com), [Capterra](https://www.capterra.com), and [Product Hunt](https://www.producthunt.com). Understanding [how AI discovery differs from traditional SEO](/blog/b2b-software-directories-ai-seo-strategy/) is essential for modern software marketing. **Note:** G2's [February 2026 acquisition of Capterra, GetApp, and Software Advice](/blog/g2-capterra-acquisition-closed/) makes diversification even more important. With one company controlling the major review platforms, building presence across alternative directories like SourceForge, TrustRadius, and niche platforms provides strategic insurance. This matters more in B2B than B2C because business software buyers rely heavily on structured comparison platforms. While Reddit dominates general AI citations, specialized B2B directories are the go-to sources for software recommendations. ## Understanding the Directory Landscape Not all directories serve the same strategic purpose. Understanding these distinctions is crucial for building an effective moat: ### Company vs. Product Focus **Product-Focused Directories** list and review individual software products (see our [Complete G2 & Capterra Requirements Guide](https://blastra.io/guides/how-to-get-ranked-on-g2)): - **Examples**: [G2](https://www.g2.com), [Capterra](https://www.capterra.com), [GetApp](https://www.getapp.com) - **Focus**: Feature comparisons, user reviews, pricing - **Users**: Buyers actively comparing solutions - **Strategic Value**: Direct sales leads, buyer education **Company-Focused Directories** showcase businesses and startups: - **Examples**: [Crunchbase](https://www.crunchbase.com), [AngelList](https://www.angellist.com), [StartupNationCentral](https://startupnationcentral.org) - **Focus**: Company information, funding, team, vision - **Users**: Investors, partners, potential employees - **Strategic Value**: Credibility building, partnership opportunities **Strategy**: List in both types. Product directories drive sales leads, while company directories build brand credibility and attract partnerships. ### Launch vs. Regular Directories **Launch Directories** are event-based platforms focused on new product announcements: - **Examples**: [Product Hunt](https://www.producthunt.com), [BetaList](https://betalist.com), [Launching Next](https://www.launchingnext.com) - **Focus**: Generate buzz around launches, get early adopters - **Users**: Early adopters, tech enthusiasts, media - **Strategic Value**: PR amplification, community building **Regular Directories** provide ongoing listing and discovery: - **Examples**: [G2](https://www.g2.com), [Capterra](https://www.capterra.com), [SaaSHub](https://www.saashub.com), AI directories - **Focus**: Continuous visibility, lead generation, SEO - **Users**: Buyers searching for solutions, comparison shoppers - **Strategic Value**: Sustained traffic, review accumulation **Strategy**: Launch directories are opportunities to generate buzz - prepare extensively and treat them as marketing events. Regular directories provide lasting value through ongoing traffic and SEO benefits. ### General vs. Niche **General Directories** accept all vertical startups (B2B software across industries): - **Examples**: [SaaSHub](https://www.saashub.com), [Capterra](https://www.capterra.com), [G2](https://www.g2.com) - **Focus**: Cross-industry software discovery - **Users**: Buyers across all business functions - **Strategic Value**: Broad reach, category establishment **Niche Directories** focus on specific industries or product types: - **Examples**: [There's An AI For That](https://theresanaiforthat.com) (AI tools), [Digital Project Manager](https://digitalprojectmanager.com) (project management tools) - **Focus**: Specialized audience within specific categories - **Users**: Buyers looking for solutions in specific niches - **Strategic Value**: High-intent leads, category leadership **Strategy**: If selling to a specific niche, be listed in both. General directories have categories for each niche, so they cannot be skipped. Niche directories provide highly targeted traffic but shouldn't replace general coverage. ### Global vs. Local **Global Directories** serve worldwide audiences: - **Examples**: [Product Hunt](https://www.producthunt.com), [G2](https://www.g2.com), [Capterra](https://www.capterra.com) - **Focus**: International market reach - **Users**: Global buyers, primarily English-speaking - **Strategic Value**: Scale, international expansion **Local/Regional Directories** focus on specific geographic markets: - **Examples**: [StartupNationCentral](https://startupnationcentral.org) (Israel), [La French Tech](https://lafrenchtech.com) (France) - **Focus**: Regional market penetration - **Users**: Local businesses, region-specific buyers - **Strategic Value**: Local credibility, regulatory compliance **Strategy**: Software products should prioritize global directories. Local directories are worth pursuing if familiar with them and have extra time. Otherwise, rely on localization provided by the Gartner family ([Capterra](https://www.capterra.com), [GetApp](https://www.getapp.com), [Software Advice](https://www.softwareadvice.com)). ### The Tier System: Strategic Prioritization **Tier 1 (Domain Rating 70+)**: Premium directories with massive authority (see our [Guide to Prioritizing SaaS Directory Targets](https://blastra.io/blog/b2b-software-directories-ai-seo-strategy)) - **Examples**: [Product Hunt](https://www.producthunt.com) (DR 91), [BetaList](https://betalist.com) (DR 73), [SaaSHub](https://www.saashub.com) (DR 71) - **Characteristics**: High traffic, strong SEO value, manual review process - **Effort Required**: High (extensive descriptions tailored to their schema, multiple screenshots, multi-step approval processes with manual reviews) - **Strategic Impact**: Maximum visibility and credibility boost **Tier 2 (Domain Rating 40-69)**: Solid mid-tier options - **Examples**: [StartupBase](https://startupbase.com) (DR 52), [FutureTools](https://www.futuretools.io) (DR 60) - **Characteristics**: Good traffic, moderate SEO value, mixed review processes - **Effort Required**: Medium (standard application forms) - **Strategic Impact**: Good visibility with specific audiences **Tier 3 (Domain Rating <40)**: Emerging or niche directories - **Characteristics**: Lower traffic, minimal SEO value, easy submission - **Effort Required**: Low (simple forms, auto-approval) - **Strategic Impact**: Limited visibility, good for comprehensive coverage *Domain Rating (DR) from Ahrefs measures backlink authority (0-100). In our analysis of 200+ directories, most were Tier 3, making Tier 1 and 2 directories particularly valuable.* ## Building Cumulative Directory Advantage ### Tier-Based Accumulation Start with top-tier directories (those with Domain Rating 70+) like [Product Hunt](https://www.producthunt.com), [BetaList](https://betalist.com), and [SaaSHub](https://www.saashub.com). These premium platforms have massive authority and engaged audiences. Only after establishing a strong presence there should you expand to mid-tier platforms. For a curated starting point, see our [free B2B SaaS directories list](/directories/free-b2b-saas-directories/). ### Review Momentum Early reviews create a network effect. When buyers see consistent positive reviews across multiple platforms, it builds tremendous trust. The trick is building systematic review collection into your customer success processes from day one. A steady stream of authentic reviews compounds over time, creating an increasingly strong moat. For detailed guidance on collecting quality reviews, see our [complete G2 & Capterra requirements guide](/guides/how-to-get-g2-capterra-reviews/). ## Cross-Platform Synergy Effects ### Launch Sequence Optimization Smart companies follow a strategic launch sequence: 1. BetaList during private beta 2. Foundation coverage across key directories 3. Product Hunt launch as a major event Each platform amplifies the next, creating momentum that's hard for competitors to match. ### Multi-Directory Presence Benefits Being present across directories doesn't just help with individual platform visibility. It builds overall SEO authority and creates credibility signals that influence both human buyers and AI systems. ## Strategic Maintenance & Future-Proofing Directory success isn't "set it and forget it." It requires: - Regular profile updates as your product evolves - Active monitoring of competitor activities - Systematic review management - Adaptation to emerging platforms Blastra simplifies this maintenance cycle by [centralizing updates](https://blastra.io/how-it-works) and keeping listings consistent across your entire directory portfolio. ## Building Your Directory Moat ### Competitive Research Framework Before submitting anywhere, analyze where your top 3-5 competitors are listed. This reveals: - Which directories your target audience actually uses - Where there are visibility gaps you can fill - Which platforms drive real traffic in your space ### Resource Allocation Strategy While automation tools can help with basic submissions, premium directories require careful manual attention. Use [Blastra — SaaS Directory Submission & AI-SEO Workflow](https://blastra.io/) to submit your business to relevant [software directories](/directories/) and manage your listings. Budget time and resources for: - Custom descriptions for each platform - High-quality visuals that meet platform specs - Relationship building with directory communities - Ongoing review collection and management ## The Compounding Advantage Directory strategy creates compound benefits that grow over time: 1. Each positive review strengthens your position 2. SEO authority builds gradually but permanently 3. AI systems increasingly reference your presence 4. Buyer trust deepens with consistent social proof 5. Competitors face an ever-higher barrier to catch up The best time to start building your directory moat was last year. The second best time is now. **Key Actions:** 1. Map your top-tier directory targets 2. Build a systematic review collection process 3. Create a regular maintenance calendar 4. Monitor emerging directories in your space 5. Track and close gaps versus competitors 6. Maintain [structured, consistent directory listings](https://blastra.io/auth/sign-up) with Blastra's centralized workflow Remember: Directory strategy builds an enduring advantage that gets stronger over time. --- ## FAQ: Answers to Common Questions ### How long does it take to see results from directory listings? SEO backlink benefits appear in 2-3 months. Review and AI citation benefits compound over 6-12 months. The competitive moat becomes significant after 1-2 years of consistent effort. ### Should I pay for premium directory listings? Start with free listings on top-tier directories first. Premium features (analytics, competitor tracking, enhanced profiles) add value after you've established presence. Free listings on high-authority directories provide substantial value alone. ### How many directories should I list my product on? 20-30 well-chosen directories for most B2B SaaS. Prioritize Tier 1 (DR 70+) first, then relevant Tier 2. Cover major, niche, and regional categories without spreading resources too thin. ### What's the difference between product and company directories? Product directories (G2, Capterra) list software with features, pricing, and reviews — they drive leads. Company directories (Crunchbase, AngelList) showcase business and funding — they build credibility. Use both. ### How do I maintain directory listings over time? Quarterly review calendar. Update after feature releases, pricing changes, integrations. Respond to reviews within a week. Monitor competitors monthly. Assign ownership — stale listings erode your advantage. Or [outsource the whole cycle](/directories/submissions-and-management) — submission, updates, and monitoring. ## You Might Also Like - [Why SaaS Founders Should Skip Clutch (And Focus on Real Product Directories Instead)](/blog/why-skip-clutch-focus-on-directories/) - Understanding the difference between service marketplaces and product directories - [How to Win Customers by Learning from Your G2 Competitor Reviews](/blog/g2-competitor-strategy/) - Turn competitor reviews into your growth advantage - [How to Get Your Software Ranked on G2 (and Why Invest in It at All)](/guides/how-to-get-ranked-on-g2/) - Master G2's scoring algorithm and earn those coveted badges - [Introducing Visibility Posture](/blog/introducing-visibility-posture-alpha/) - See what your directory presence actually looks like ---