AI search visibility is the equivalent of share of voice for the era when buyers ask AI tools for recommendations. It captures whether your brand appears in the answers, how often, and how that compares to competitors. It is one number that summarizes whether your category is finding you in ChatGPT, Claude, Gemini, and Perplexity, or whether it is finding someone else.
Why a single number is not enough
AI answers vary across runs and across models. Asking ChatGPT once whether it recommends you is closer to a coin flip than a measurement. Real visibility tracking samples the same question many times per model and aggregates the result, then breaks it out by model so you can see which platforms favour you and which do not.
What good visibility looks like
A healthy AI search visibility profile is consistent across models and stable over time. If you are mentioned 70 percent of the time on ChatGPT and 5 percent on Gemini, the gap is the work. If your visibility was 60 percent last month and 30 percent this month, something shifted in the corpus the models lean on, and you need to know what.
How to improve it
The mechanics are: better evidence on the public pages models cite from (your site, third-party reviews, comparison articles), more direct quotes and structured stats on your high-intent pages, and citations from authoritative sources in your category. The combination of those is what generative engine optimization research has shown to move the needle.