Short answer: AI assistants don't invent recommendations — they retrieve web pages and cite them, and directories and review platforms are among the sources they retrieve most. Review and trust sites are now the second most-cited type of source across AI answers, and in B2B software almost every tool ChatGPT names already has a profile on Capterra and G2. In other words, being listed on the right directories has quietly become an eligibility requirement for being mentioned by an AI. Which directories count depends on the engine and your category — here's how the mechanics work, what the data says, and what to do about it.
How AI search actually answers
Every major assistant works the same way at the core: it turns your question into searches, pulls a set of pages from a search index, reads them, and composes an answer with citations. ChatGPT's web search draws on Bing's index; Perplexity searches the live web; Google's AI Overviews and AI Mode sit on Google's own index; Copilot grounds itself in Bing. What they all prefer is the same shape of page: structured, comparative and entity-rich — a list of named things with attributes, prices and reviews, laid out in a way a model can parse cleanly.
That is a description of a directory page.
Why directories get cited so much
A good directory or review platform is a pre-built answer to "what are the options for X?": a list of real businesses, each with a name, a category, a description, a location or price, and often ratings. When an assistant is asked for "the best accounting software for small e-commerce" or "a wood-fired pizzeria near Tours", a page that already lists and compares candidates is the easiest thing to cite.
The data bears this out. An analysis of more than 800,000 AI responses found review and trust websites to be the second most-cited source type, around 14% of all citations. And a 2026 study of B2B SaaS recommendations found that 100% of the tools ChatGPT named had reviews on Capterra and 99% had reviews on G2. That second number is the important one: presence on those platforms behaves less like one citation source among many and more like a ticket to being considered at all.
Which directories each engine leans on
Engines don't cite the same places. Treat the figures below as directional — most come from vendors with a stake in review platforms, and methods differ — but the pattern is consistent across studies:
| Engine | Directory / review sources it favours |
|---|---|
| Google AI Overviews | In 30,000 commercial searches, five platforms made up 88% of review-platform citations: Gartner Peer Insights (~26%), G2 (~23%), Capterra (~18%), Software Advice (~13%) and TrustRadius. |
| ChatGPT | G2 and its sister sites (Capterra, GetApp, Software Advice) dominate software queries; Yelp is barely cited here. |
| Perplexity | Leans local and consumer: TripAdvisor and Trustpilot lead, with Yelp close behind — most of Yelp's AI citations come from Perplexity and AI Overviews. |
| Copilot | Whatever ranks in Bing — which is why submitting your site to Bing matters more than its market share suggests. |
The practical reading: a software company needs the G2 family; a local business needs Yelp, TripAdvisor-type platforms and a complete Google Business Profile; everyone needs to be in the places their category's engine already trusts. The SaaS directory guide and the local directories guide cover each side.
Mentions beat links for AI visibility
Classic SEO is built on links. AI visibility correlates more strongly with mentions. In an Ahrefs study of 75,000 brands, branded web mentions correlated with Google AI Overview visibility at about 0.66, while backlinks managed about 0.22. Being mentioned on pages that are themselves heavily linked correlated at about 0.70 — links still matter, but indirectly, by getting your name onto pages the AI already trusts. One more sign the game has changed: G2's organic traffic fell by roughly a third over 2026 while its AI citations held up. Traffic now understates a directory's influence.
For a business, that means every consistent, named appearance on a credible third-party page is a small deposit into the entity the models are learning about. Directories are the cheapest, most repeatable way to make those deposits — see do directory backlinks still help SEO? for the honest version of what they do and don't pass.
What this means for your listings
- Be one entity. Same business name, same URL, same core details everywhere. Models consolidate mentions into an entity only when the mentions agree — the NAP consistency rules apply to AI as much as to the map pack.
- Write descriptions a model can quote. Plain, specific, attribute-rich: what you do, for whom, where, what makes you different. Vague marketing copy gives the model nothing to extract. Our guide to listing descriptions has a template.
- Get the category right. Engines retrieve by category and comparison; a listing filed under the wrong heading is invisible for the questions that matter.
- Earn reviews where your engine looks. On the review platforms, the rating and the review text are what get quoted. Genuine reviews are the moat; fake ones get caught.
- Presence first, volume second. Being on the handful of platforms your category's engine cites is worth more than being on a hundred it never reads.
Make your own site citable too
- Server-render your key pages. Many AI crawlers don't execute JavaScript; a client-rendered page looks empty to them.
- Allow AI crawlers in robots.txt (GPTBot, OAI-SearchBot, ClaudeBot, PerplexityBot and friends) if you want to be cited.
- Answer directly. Clear headings, a one-paragraph answer up top, comparison tables and numbered steps are the formats cited most. Keyword stuffing measurably hurts.
- Add structured data — Organization, Product or Service, Article — so the entity and its attributes are machine-readable.
- llms.txt is cheap hygiene, not a lever. A large study across 300,000 domains found no measurable link to more citations, and Google says it isn't a ranking signal. Add it, but don't expect it to do the work.
How to check your own AI visibility
There's no Search Console for ChatGPT, so measure directly. Write ten prompts a real buyer would type ("best X for Y", "X near Z", "alternatives to Competitor"), run them in ChatGPT, Perplexity, Gemini and Google AI Mode, and log whether you're named and which sources are cited. Repeat quarterly. In GA4, look for referrals from chatgpt.com and perplexity.ai — and remember that most AI click-throughs strip the referrer and land in "direct", so the prompt test is the truer measure (see tracking which listings drive traffic).
Where AIO fits
Let's be precise about the boundary. The directories AI engines cite most — G2, Capterra, Yelp, TripAdvisor, Trustpilot — are review platforms you have to earn your place on directly, with real reviews; no broadcast replaces that. What the AIO network contributes is the other half of the equation: many crawlable listing pages, each naming your business consistently, under your brand, with your description — the kind of repeated, consistent third-party mention that correlates with AI visibility. The network's robots.txt explicitly welcomes AI crawlers. Use it to widen a consistent brand footprint; use the review platforms to win the citations.
