AI Visibility
The direct way to find out whether ChatGPT names you when a customer asks for a recommendation in your category.
Find Out NowYou can answer this in thirty seconds by asking ChatGPT yourself, and you should. But asking once tells you about one prompt on one day, and the answer changes with wording. The version of this question worth answering is: across the range of ways a buyer might ask, how often does your name come out, and who is named when it does not.
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The self-check almost everyone runs is the one that does not work. Asking "do you know about [your brand]" prompts the model to be agreeable, and it will produce a confident, plausible description of a company that does not exist if you invent a name. That is not evidence of visibility, it is evidence of how these models behave. The question that gives you a real answer is the one a buyer would type, with no brand name in it at all.
These models sample rather than look up, so identical prompts produce different answers. Slightly different phrasings produce very different ones. That is why a single check is close to meaningless and why running one prompt repeatedly until you appear is self-deception. A real measurement needs a spread of prompts across question types and a consistent way of parsing the results, which is precisely what makes this tedious to do by hand.
Across the checks we run, absence has a small number of causes and they need different responses. Diagnosing which one applies to you is most of the work.
It is worth being blunt about the things sold as solutions. There is no way to submit your brand to ChatGPT, no paid inclusion, and no keyword you can stuff to force a mention. Putting instructions in your page text addressed to the model does not work and looks like manipulation to the systems that do read it. Generating a hundred thin pages about your category does not work either and is explicitly targeted by search spam policy. What works is unglamorous: be described accurately in more places that models already read.
The path is consistent even though the timeline is not. Publish the concrete pages models can quote: real pricing with real numbers, a comparison against the competitor you actually lose to, a plain description of who you are for. Earn presence where models look: review platforms in your category, industry roundups, the communities that get cited heavily. Then re-check monthly and watch the direction rather than the number. Brands that go from absent to named usually do it over a quarter, not a week.
Usually because too few sources it trusts describe what you do. The model synthesises what it has read; if your category coverage is thin, it has little to draw on and names the brands that are covered heavily.
Because it is assembling a description from fragments and filling gaps. Wrong details normally mean your own pages are ambiguous about what you do, or a similarly named entity is bleeding into the answer. A clear, plain description on a page a model can retrieve is the direct fix.
No. Naming your brand in the prompt guarantees it produces something about it. Visibility is whether you appear when the prompt does not contain your name, which is the only situation that reflects a real buyer.
Monthly. Both training data and live retrieval shift, so your position can move without you changing anything, and month over month is the shortest interval where the change means something.
It drives qualified consideration. Someone asking an assistant for a recommendation is at the point of choosing, so being named puts you on the shortlist and being absent removes you from it before you can compete.