How often, how accurately, and how favorably your brand is retrieved, cited, and represented inside AI-generated answers across ChatGPT, Gemini, Perplexity, Claude, and Google AI Overviews.
As people move from typing keywords into a search box to asking questions of answer engines, the question is no longer only where do I rank? — it is am I in the answer at all, and is what it says about me true? AI Visibility is the discipline of measuring and improving that. It is the outcome that Generative Engine Optimization is designed to produce.
A brand can win one layer and lose the next. Real visibility requires all three.
Whether an answer engine can find and select your content when it assembles a response. If your pages are not retrievable, nothing downstream matters.
Whether the model attributes the claim to your brand with a link or named mention. Citations are how AI answers transfer trust — and traffic — back to a source.
Whether the description the model generates about you is accurate, current, and favorable. Being mentioned incorrectly can be worse than not being mentioned at all.
Answer engines increasingly sit between your brand and the people researching it. When a buyer asks an AI system to compare vendors, explain a category, or recommend an option, the model's answer — not your homepage — is the first impression. If you are absent or misrepresented in that answer, the decision can be made before anyone visits your site.
Unlike a search ranking you can watch move, AI Visibility is invisible by default: most brands have no instrumentation for what models say about them. Measuring it is the first step; improving it through citation-readiness and structured brand context is the second.
Run a free audit to measure your current AI Visibility across answer engines and get a prioritized plan to improve it.