AI visibility is how present and how favorably your brand appears across generative AI engines. It is not a single metric but the sum of several inputs working together.
The inputs to AI visibility
- Entity recognition — whether models understand who you are.
- Citation footprint — how often credible sources reference you.
- Content retrievability — how easily models can parse and quote your material.
- Cross-web consensus — how consistently you are described everywhere.
How to measure it
Start by defining the prompts your buyers actually use, then measure your share-of-answer: how often and how prominently you appear across ChatGPT, Gemini, Claude, and Perplexity. Track citation frequency and AI-influenced referral channels such as Bing organic over time against that baseline.
How to build it
AI visibility compounds. The entity and citation foundations you build today determine whether models recommend you tomorrow. Build the foundation deliberately rather than waiting for traffic to fall.
What gets measured gets managed — including your share of the AI answer.
This guide pairs well with our GEO methodology and our explainer on AI citation strategy.