# Why doesn't ChatGPT recommend my product?

The three usual reasons AI assistants name your competitors and not you, what actually fixes it, and what does not.

By Dasha. Updated November 1 2026. https://heardofyou.io/why-chatgpt-doesnt-recommend-me

ChatGPT does not recommend your product because it is not looking for you. A buyer asks "best invoicing app for freelancers". The AI runs a web search, reads the lists, reviews and threads that come back, and names what it finds. If you are not in those places, you are not in the answer.

It is rarely about your product being bad. It is about where the AI looks.

## First, check you are asking the right question

Most founders type their own product name into ChatGPT. They get a decent description back and relax. That is a branded question, and the AI answers it with a quick look at your own site.

The question that matters is the one your buyer types before they have heard of you. "Best X for Y." "Alternatives to [the big competitor]." "I run a small shop alone, what should I use for Z."

One founder on r/SaaS ran both kinds. The brand-name test looked fine. The buyer-question test told "a completely different story".

If you have only tried your own name, try three buyer questions now. Use a fresh chat, signed out. Our free check does the same thing 60 times over.

## The three usual reasons

### 1. You are not in the AI's search results

ChatGPT, Gemini and Perplexity usually search the web before answering a buying question. A 2026 study looked at how GPT decides which brands to mention. Brands missing from its search results, with no cited site, were mentioned 2.8 percent of the time. Brands whose site was cited and who showed up in branded searches: 91.4 percent.

Ordinary search rank still counts. A separate analysis covered 815,484 query and page pairs. 58 percent of pages at position one were cited, against 14 percent at position ten.

So the first question is boring but decisive: does your site come up when the AI searches for what you do? Blocking AI crawlers in robots.txt can make the answer no. So can pages that load their words with JavaScript. Neither has anything to do with your product.

### 2. Nobody else is talking about you yet

AI answers lean hard on what other people say. For US software questions, 72.7 percent of the sources AI search engines cited were earned media (reviews, lists, articles). Not the brand's own pages.

Muck Rack counted 207 million citations. More than 84 percent came from earned or third-party sources. Only 0.3 percent came from paid content.

A new product usually has a nice homepage and nothing else. No review profile with ten reviews. No spot on the "best X" list a blogger wrote two years ago. No Reddit thread where someone said "I switched to this and it was fine". Those are what AI reads, and they do not exist yet.

### 3. Your page says nothing quotable, or the big name wins the tie

When an AI does find you, it needs a clear sentence to repeat. "Reimagine your workflow" is not one. It will skip you for the competitor whose page says "invoicing for freelancers, $12 a month".

Then there is the tie-break. In a 2026 experiment with identical product specs, the well-known brand was recommended 100 percent of the time. A rating edge of under 0.1 stars was enough to flip it. New products rarely have the reviews to break that tie.

**2.8% : mention rate for brands missing from the AI's own search results, vs 91.4% when their site was cited : Tannenbaum, 2026 pre-print**
## What works, and what does not

**Works, with evidence behind it:**

- A spot on the "best X" lists the AI already cites for your category. Ahrefs analysed 26,283 cited URLs: list articles were 43.8 percent of the page types ChatGPT cited.
- Honest reviews on the one or two review sites the AI cites for your category. G2 or Capterra for B2B, the App Store or Product Hunt for apps. A small rating edge beats a bigger brand.
- Real answers in real Reddit threads, under your own name.
- A homepage whose first paragraph says what you are, for whom, and what it costs.
- Showing up in ordinary search results for the questions AI searches.

**Does not work, despite being widely sold:**

- An llms.txt file on its own. Ahrefs found 97 percent of the llms.txt files it tracked received zero requests.
- Schema markup on its own. Ahrefs tracked 1,885 pages that added schema: no statistically significant change in ChatGPT citations.
- Submitting to 100 directories. ChatGPT and Gemini rarely cite directories.
- Fake reviews, persona accounts, hidden text. That is manipulation, and it gets found.

## A note on consistency

AI answers move around. SparkToro ran the same prompts again and again. The same brand list came back less than one time in a hundred.

So a single screenshot proves nothing, in either direction. We run every question three times on five assistants. We report how often you are named, never a rank.

## What we would do

1. **Find out where you stand.** Five buyer questions, three runs each, on ChatGPT, Gemini, Claude, Perplexity and Muse: 75 answers. For each one, who was named instead of you and which sources were cited. Free, by email within 2 working days. A person checks every report.
2. **Map the sources.** The audit widens that to 25 questions. It turns the cited sources into a prescription: the exact lists, review sites and threads to get into for your category. $149, credited toward the project within 30 days.
3. **Do the work and re-check.** The project pitches 25 named lists and sites, with two follow-ups each. It writes three pages for you and sets up review profiles on the two sites AI cites most in your category. You also get a founder-led Reddit plan. Then we ask the same questions at day 30, 60 and 90. $799.

Example: "Ledgerly", an invoicing app for freelancers (a made-up product we use for illustration). Its free check came back named in 12 of 60 answers. ChatGPT 5 of 15, Gemini 3 of 15, Claude 3 of 15, Perplexity 1 of 15. Named instead: FreshBooks, Wave, Bonsai. Sources cited: G2, a Zapier "best of" list, and two Reddit threads. That list of sources is the to-do list.

We cannot make an AI say your name. We can get your story into the places it reads, and measure whether it starts to.

## Questions

**ChatGPT knows my product when I type its name. Why does it not recommend it?**

Knowing a name and recommending a product are different jobs. Type the name and the AI looks it up. Ask for the best tool and it leans on third-party lists, reviews and threads. Missing from those means missing from the shortlist.

**Is this something I can fix myself?**

Partly. Check your robots.txt, write a clear first paragraph, and ask real users for reviews on one site. The slow part is getting onto the lists and threads AI reads. That is outreach, and it takes weeks of follow-up.

**How long before an AI starts naming a product?**

Nobody honestly knows. Models update on their own schedules. We get you into the sources, then ask the same questions at day 30, 60 and 90 and show you the change. We never promise what an AI will say.


## Sources

- Tannenbaum, fitted stage model of brand mentions in GPT (2026, pre-print) (https://arxiv.org/abs/2609.23162)
- Chen et al., University of Toronto: AI search bias toward earned media (2025) (https://arxiv.org/html/2509.08919)
- Muck Rack Generative Pulse, 207 million citations (October 2026) (https://www.globenewswire.com/news-release/2026/10/28/3390134/0/en/generative-pulse-earned-media-still-drives-more-than-84-of-ai-citations.html)
- AirOps and Kevin Indig: retrieval rank vs citation, 815,484 query-page pairs (https://www.getpassionfruit.com/research/is-query-fan-out-a-marketing-buzzword-or-something-relevant)
- Chu and Hou: brand bias and rating edges in LLM recommendations (2026, pre-print) (https://arxiv.org/abs/2606.17443)
- SparkToro: AI answers are highly inconsistent when recommending brands (https://sparktoro.com/blog/new-research-ais-are-highly-inconsistent-when-recommending-brands-or-products-marketers-should-take-care-when-tracking-ai-visibility/)
- G2 Answer Economy report, March 2026 (the 51% figure) (https://company.g2.com/news/g2-research-the-answer-economy)
- r/SaaS: has anyone checked if ChatGPT names their SaaS for category questions? (https://www.reddit.com/r/SaaS/comments/1x8653n/has_anyone_checked_if_chatgpt_actually_names/)
- Indie Hackers: I asked ChatGPT to recommend my product. It had no idea it existed. (https://www.indiehackers.com/post/i-asked-chatgpt-to-recommend-my-product-it-had-no-idea-it-existed-f30e86f4f5)