AI Visibility is a measure of how your brand appears when someone asks an AI assistant a question relevant to your product or category — a complement to traditional search visibility, which reflects how you rank in conventional search results.
Why this is tracked separately from search
Traditional search returns a ranked list of links, which is straightforward to monitor with rank tracking. AI-generated answers are synthesized, often from multiple sources, and can vary between one query and the next even when the underlying question is the same. AI Visibility is built around that difference — sampling how your brand appears over time, rather than tracking a fixed position.
What AI Visibility tracks
- Presence — whether your brand is mentioned at all for a given query.
- Position — whether it's a direct recommendation, a passing mention, or absent.
- Accuracy — whether what's said about your brand is correct.
- Comparative standing — how you appear relative to competitors mentioned for the same query.
Where this data comes from
AI Visibility periodically checks a set of queries against supported AI answer engines and records how your brand appears in the responses. See Tracking Your AI Visibility Score for how to set up and interpret this in your workspace.
How this relates to GEO
Generative Engine Optimization (GEO) is the practice of making your content easier for AI systems to find, understand, and cite. AI Visibility is how you measure whether that work is having an effect — the two are usually used together, with visibility tracking informing where GEO effort is most needed.