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Why doesn't ChatGPT recommend my business?

By Olly, AEOscore founder5 min read

Reviewed quarterly; figures re-verified before each update.

ChatGPT recommends businesses it has seen named, described consistently and reviewed on sources it trusts. If it never mentions yours, there are five usual reasons: your site is invisible to AI crawlers, third-party sources barely mention you, your brand data is inconsistent, your pages never answer a question directly, or rivals dominate the sources it cites. All five are measurable and fixable. This is the job of AEO (answer engine optimisation).

How ChatGPT picks businesses

When someone asks ChatGPT “who’s the best accountant in Bristol?”, the answer is assembled from three places: what the model learned in training, what ChatGPT’s search feature pulls from the web (which leans on Bing’s index and OpenAI’s own OAI-SearchBot crawler), and pages fetched live while answering. You are competing to be present, and well spoken of, in all three.

None of these work like Google rankings. A study of 10 million keywords by Semrush found that around 90% of pages ChatGPT cites rank outside the top 20 in classic search for the same query. Ranking well and being recommended by AI are related, but they are not the same job.

Reason 1: AI crawlers cannot read your site

Analysis of over 500 million crawler requests by Vercel and MERJ found that none of the major AI crawlers execute JavaScript. If your site only shows its content after scripts run, GPTBot sees an empty shell. The same analysis found AI crawlers hitting dead links about 35% of the time, so broken URLs and stale sitemaps hurt more with AI than they ever did with Google.

The fix is unglamorous: content in the initial HTML, working URLs, an accurate sitemap, and a robots.txt that does not block GPTBot, OAI-SearchBot, ClaudeBot, PerplexityBot and their siblings.

Reason 2: nobody else talks about you

ChatGPT trusts third parties more than it trusts you. One analysis of ChatGPT’s business-recommendation citations found Wikipedia supplying 47.9% of them, with Reddit at 11.3% and Forbes at 6.8%. Another study of SaaS recommendations found that 100% of the tools ChatGPT recommended had Capterra reviews, and 99% were on G2.

A large Ahrefs study of 75,000 brands points the same way: branded web mentions correlate with AI visibility far more strongly than backlinks do. The battle is being talked about, not linked to.

The pattern in the numbers:the sources ChatGPT leans on are encyclopaedias, forums, publishers and review platforms, and almost never the business’s own site. Third parties carry the recommendation; your job is to be present on them.

Reason 3: your brand data is inconsistent

Models hedge on brands whose name, description, category or pricing differ between their website, LinkedIn, directories and reviews. If you are “Smith & Co Chartered Accountants” in one place, “SmithCo” in another and “Smith Accounting” in a third, you have split your own vote. Pick one name and one description, and repeat them everywhere.

Reason 4: your content never answers anything

AI answers are assembled from extracted passages, and extraction favours pages that answer questions directly: a question-shaped heading, a plain answer under it, tables, and named statistics. The Princeton GEO study, the only peer-reviewed test of these tactics, measured 30 to 40% visibility gains from adding statistics, quotations and citations to pages. Fluent prose helped; keyword stuffing did not.

Reason 5: your rivals got there first

On commercial questions, AI engines lean heavily on comparison articles and “best X” listicles: on those queries, listicles take roughly 40% of citations in published analyses. If every listicle in your category names three rivals and not you, the model repeats what it reads. Getting into those articles, or publishing an honest one yourself, changes what it repeats.

Does schema markup fix this?

Not on its own, and be wary of anyone who says otherwise. There is no solid evidence that schema markup directly increases LLM citations (one large study found no correlation). It still helps Google rich results and Bing’s understanding of your pages, and Bing feeds ChatGPT, so ship it, but as plumbing, not as the strategy.

What to do this month

  1. Measure first. Find out what all six engines actually say about you today, against your rivals. The free AEO score does this for you.
  2. Open the door: allow the AI crawlers in robots.txt, fix dead URLs, get your content into the initial HTML, register with Bing Webmaster Tools.
  3. Answer questions on your pages: question-shaped headings, direct answers, tables, real numbers.
  4. Get mentioned off-site: review platforms for your category, consistent listings, genuinely useful community participation, disclosed.
  5. Watch it weekly. AI answers move over weeks and months, though ChatGPT search and Perplexity can shift within days. Whatever you change, you need the before and after.

How long does it take?

Published consensus, which matches what we see in scans: weeks to a few months for changes to show up in AI answers, with a quarter being a sensible planning horizon. That is why AEOscore scans weekly and why we tell strategist clients to plan for a quarter: anything promising faster is guessing.

One honesty note: most published numbers in this niche come from vendors, including some above; treat magnitudes as directional. The directions, though, all point the same way. Figures checked 28 July 2026; re-checked quarterly.

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