AI Directory Descriptions: Why It Works on 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 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, 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, 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, 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). 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. 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 is the signal both buyers and AI systems use to validate what your product actually does.

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