Does ChatGPT Recommend Your Product? Here’s How to Check

When a buyer asks ChatGPT for a tool like yours, the answer usually names a few products. If yours isn’t one of them, that buyer is choosing from a shortlist you’re not on, and you may never find out.

This guide shows how to check, by hand, whether ChatGPT, Claude, Gemini and Perplexity name your product. It also explains why one try tells you almost nothing, and what to do instead.

Why being named matters

A traditional search gives a buyer a list of results to compare. An AI answer often names just a few products directly. For a buyer who asks this way, those names may be the ones that get considered.

We can’t tell you how many of your buyers ask AI first. We haven’t found a figure from a source good enough to quote, so we won’t quote one. What you can find out is whether the engines name you when someone asks the question your customers would ask.

Check it by hand

1. Ask the way a buyer would, without your name in it. “What’s the best invoicing tool for freelance designers?” tests whether you get recommended. “Is [your product] any good?” only tests whether the AI has heard of you.
2. Start a fresh chat. Earlier messages in a conversation shape the next answer, so a new chat gives a cleaner read. If the engine has a temporary or incognito mode, use it.
3. Read the whole answer. Are you named? Where in the list? Who else is named? Does it show sources, and which ones?
4. Try two or three phrasings. Buyers don’t all word it the same way, so change the use case, the size of the team, the budget.
5. Repeat on more than one engine. ChatGPT, Claude, Gemini and Perplexity each answer differently, and Google shows an AI Overview for some searches and not others.

Write down who gets named each time. A competitor that keeps turning up is who you’re being compared against, whether or not you knew it. If it keeps being them and not you, see why AI engines name your competitor instead of you. If your product or site is new, the engines may also not have found it yet, and how long until AI engines find your new website covers what the companies say about that.

Why one try tells you almost nothing

Ask the same question twice and you can get two different answers. In a study published in January 2026, SparkToro and Gumshoe.ai found less than a 1 in 100 chance that ChatGPT or Google would give the same list of brands in any two responses to the same question. The method and numbers are in why we ask the same question 8 times a week.

That changes how to read your own check:

• If you asked once and got named, that may have been luck.
• If you asked once and weren’t named, that may have been bad luck.
• What’s worth knowing is a rate, shown as a count: out of many answers, how many named you.

The faster, repeatable version

Bevizio’s free check does the manual steps for you, with no account. Give it your website and it writes a question a buyer might ask, then asks ChatGPT, Perplexity and Google AI Overviews. It shows whether each one named you, who they named instead, and which sources they used.

That is one answer from each engine, a snapshot, and it is labelled that way for the reason above. It tells you where you stand today. It doesn’t tell you a rate.

The rate comes from asking repeatedly, which is what Bevizio does once you track a product. Every question is asked 8 times a week across all five engines. ChatGPT gets three of those and Claude two, because those two changed most from one week to the next in our own earlier weekly data. The result is reported as a count. The reasoning is in why we ask the same question 8 times a week, and the live demo is a real account with real answers.

What “named in k of n answers” means

“Named in 5 of 12 answers” means that of the 12 answers we got back, 5 either named your product or linked to your site. Bevizio doesn’t give a score out of 100, only counts. Being named is not the same as being recommended: an answer can name you and prefer someone else. Bevizio counts names.

Answers we couldn’t get, because an engine errored or Google showed no AI Overview, are left out of the total. They are never counted as a miss. For a single question on a single engine, Bevizio shows the raw record, such as “named you in 3 of 4 answers”, not a percentage or a verdict.

One caveat applies to any tool, ours included. Answers collected through the engines’ APIs and search results, which is how Bevizio collects them, can differ from what a person sees in the app, because of account, location, model version and time of day. Bevizio isn’t affiliated with OpenAI, Anthropic, Google or Perplexity.

If you would rather compare tools than check by hand, see AI visibility tools compared. For how different tools define “AI visibility” itself, see what is AI visibility, and how is it measured?