AI Visibility
Also known as: LLM visibility, AI discoverability
Whether AI systems fetch, parse, and use a property. Measured here from observable fetch behavior rather than from citation claims.
AI visibility covers a property's presence in AI systems: whether AI crawlers request it, whether they retrieve its machine-readable endpoints alongside its pages, how often they return, and whether the structure is complete enough to be parsed without guessing.
All of that is observable in server logs. What is not observable, at least not from here, is whether the content was cited, used in an answer, or included in training.
This is the dimension where overclaiming is easiest. Adding schema does not cause citation. It makes a property legible, which is a precondition for being used rather than a cause of it. Any measure of AI visibility built on unverifiable citation claims should be treated as marketing.