Why ChatGPT won't recommend your company
It knows you. It describes you well. And when your customer asks “who can help me with this?”, it names someone else. One US agency's quarterly report puts numbers on the gap.
Cittago runs this as a service — see seo agency cluj-napoca.
This page answers one question: why an AI assistant leaves your company off the list when a customer asks who can help. If your problem is the opposite, that it names you and gets the facts wrong or out of date, the fix is different, and we wrote it up separately in ChatGPT has outdated facts about your company.
99.99% of AI citations point somewhere that isn't your website
That is the number to start from. Of the 49,391 citations analysed in Victorious's Q2 2026 quarterly report — covered on 29 July 2026 by Search Engine Journal — 99.99% pointed at third-party sites. Four brands out of 150 earned a citation to their own domain. Four.
Which means the SEO work you can control is not the work that decides whether an assistant names you. Your site is the material it describes you with, once it has decided to name you. The naming happens on other people's domains.
Your site is the source of the description. The shortlist gets written somewhere else.
It describes us correctly. Why doesn't ChatGPT mention our company?
The same report tested 175 brands across five verticals — legal, healthcare, SaaS, financial services and ecommerce — on eight platforms, from ChatGPT to Meta AI. Put the brand name in the prompt and 96% of the brands with evaluable answers are described accurately. Ask about the category instead and, across the 150-brand cohort the mention rate was measured on, only 11% appear. The other 89% never do.
Two different tests, treated as one by almost everybody. The first asks whether the model has you. The second asks whether it lists you. We covered the underlying split in GEO versus SEO.
How many mentions before AI recommends a company? The 2,000 threshold
Brands with fewer than 2,000 third-party mentions appeared in AI answers just 3% of the time. The strongest measured correlation is not with what you publish but with the count of domains that mention you: 0.49. Third-party web mentions: 0.45.
And the number that should worry a service business most: on prompts where someone describes a problem rather than a category — "my site loads slowly and I'm losing orders, what do I do?" — a brand was named in 0.10% of answers. The assistant explains the fix and names nobody who could deliver it.
Two thousand sounds unreachable for a small firm. It helps to know what counts: not bought links, but appearances. Supplier directories, trade press, "best agencies for X" lists, complete profiles, reviews, podcasts, signed technical comments.
Is a well-built website enough to get recommended by AI?
Our on-page work is finished: JSON-LD for organisation, article and FAQ, llms.txt, a question-and-answer structure in every piece, hreflang across three languages, an aggregate rating built from the 21 real Google reviews we have.
That work does what the study says it does: it gives an assistant clean material to describe you with. It does not, on its own, put you on the lists an assistant builds when someone asks for a provider. The on-page half is written up in our guide to getting cited by AI search.
We finished what could be done on the site and it is not enough. The report explains why. We publish this because it is cheaper to hear it from us than to buy an on-page audit for an off-site problem.
Is it too late if ChatGPT already names our competitors?
Semrush data for January–June 2026: 1,094 US product and service categories, five prompts each, more than 50,000 brands, over 600,000 citations tracked. Only 15.2% of categories have a clear owner — one brand in at least four of five prompts, five percentage points clear of the runner-up. 53.7% have several contenders and no winner. 89.3% of estimated demand sits in categories nobody owns.
Leaders are not comfortable either: 90.4% month-over-month retention, and a median lead of 2.9 percentage points for those who hold. Where the leader changes, the gap is 1.3 points. Easy to lose, which is the same reason it is winnable.
What to do when AI recommends your competitors instead of you
- Narrow the category until it means something. "Marketing agency" is a sector, not a category. "Google Ads agency for small hotels in Italy" has five realistic prompts and three competitors.
- Get mentioned where assistants already read. The 0.49 correlation is with the domains that mention you — trade directories, industry press, supplier lists.
- Publish a number that is yours. A guide gets paraphrased without attribution. A measurement you took has to be attributed.
- Judge results in impressions, not clicks. Inside an AI answer the mention is the delivery — the mechanism is in zero-click search.
- Keep on-page as the entry requirement. Without structure and schema you risk being described badly in the 96% of cases where you are described at all.
Questions with answers we think are useful
Is this just link building with a new name?
No, and the difference decides your budget. Link building optimises for a link that passes authority. This optimises for a mention on a page an assistant is likely to read when answering about your category — often with no link at all. A directory listing with no follow link and a paragraph of context beats a bought link on an unrelated blog.
How do I check whether I appear in AI answers?
Not by asking for your company name — that is the 96% test and everyone passes it. Ask ChatGPT, Perplexity and Google AI Mode the category question your customer would ask, and write down the names that come back. Repeat monthly: with 90.4% month-over-month retention, the list moves enough to be worth checking.
How long before I show up?
Nobody claiming to know has the data. What can be said with numbers: the threshold observed sits at 2,000 third-party mentions, and below it the appearance rate is 3%. Not a one-month project, and not one that ends.
Why doesn't ChatGPT mention our company when asked about providers in our industry?
Because a category question is answered from third-party sources, not from your site. In the Q2 2026 study covered here, 49,391 citations were analysed and 99.99% pointed at somebody else's domain; only four brands out of 150 earned a citation to their own. Being well described on your own pages does not put you on the shortlist; appearing on the pages that get cited does.
Why is my brand never mentioned when people ask AI for product recommendations?
Because the mention rate on category prompts is low for almost everybody. Across the 150-brand cohort the study measured, 11% appeared; the other 89% never did. The gap is not usually a quality problem with your site. It is an absence from the roundups, comparisons and directories that assistants draw category answers from.
Is being described accurately the same as being recommended?
No, and treating them as one question is the most common mistake here. Put a brand name in the prompt and 96% of brands with evaluable answers are described accurately. Ask about the category instead and 11% appear. The first tests whether the model has you; the second tests whether it lists you. Different problems, different fixes.
Which sites do AI assistants actually cite?
Overwhelmingly other people's. In the citations analysed for the Q2 2026 report, 99.99% went to third-party domains: publishers, roundups, comparison pages, directories and forums. Your own site is the material an assistant describes you with once it has decided to name you, which is a real job but a different one from getting named.
What is the fastest first step if we are not mentioned at all?
Find the pages that already answer your category question and see whether you are on them. Search the way a customer would phrase it, open the first ten results, and list every roundup, comparison or directory that omits you. That list is the work, in priority order, and it costs an hour to build.
Where we would start
We do SEO and AI search for companies in Italy and Romania — in your position we would start with the ten questions your customer would ask, run across three assistants, and the names that come back today.
Last updated: 23 September 2026. The 2026 study figures are unchanged from the version published on 30 July 2026 and are sourced in the text. What changed on 23 September 2026: this page answers one question, why an assistant leaves a company out, and the note above sends the opposite complaint, wrong or outdated facts, to its own article.
It describes you well. It just won't suggest you.
We run your customer's questions through ChatGPT, Perplexity and Google AI Mode and show you who appears instead of you. No pitch, just the list.
