AI visibility describes the relationship between a brand’s public information and how answer systems may present it. It is not a single stable metric, and live output claims require observation.
Use AI visibility to discuss whether an entity is represented accurately and usefully in answer-oriented contexts. Distinguish this broad goal from a claim that a system mentioned a brand in a specific, live response.
Teams can inspect public pages, source access, entity consistency, factual clarity and structured data. These checks identify readiness issues and create a defensible improvement plan, but do not measure model output.
Record the engine, prompt, date, relevant settings and response through a human-led Deep AI Engine Investigation. Treat the record as time-bound evidence, not a promise of future mention or recommendation.
Start with deterministic evidence for the information your organization publishes.
Start an automated scan