The definition
AI search visibility is how often, and how favorably, a brand appears in AI-generated search results: the summaries, recommendations, and cited sources produced when a search surface answers a query with generated text instead of a plain list of links.
The defining trait is grounding. These answers are assembled from pages retrieved at answer time, which ties what the engine says to what the web says right now.
Why grounding changes the game
An ungrounded assistant answers from training data, so changing its answers means waiting for the world's text about you to change and the model to relearn it. A grounded answer changes when the retrieved pages change, which can happen this quarter instead of next year.
That makes AI search the fast lane of AI visibility work: the levers are closer to the surface, and the feedback arrives sooner. It also makes the answers less stable, which is why measurement discipline matters more here, not less.
What determines it
- Retrievability: your pages surface for the query in the engine's underlying search layer.
- Citability: passages answer directly and survive being quoted alone, so the generator can use them.
- Presence on ranked sources: the comparison and reference pages the engine retrieves also mention you.
- Phrasing match: your content speaks in the words the queries use, headings included.
- Classic search health: crawlable, indexed, fast; grounded answers inherit search's plumbing.
Measuring it
Grounded answers still vary between draws, so the honest measure is the same as everywhere in AI visibility: repeated samples of a fixed query set, mention rate with a confidence range, and the cited domains recorded per answer.
AeoWatch's AI search monitoring runs that loop on the search-grounded surfaces, and the AI visibility pillar covers how this slice fits into the full picture.