AI Visibility Audit: What to Check and Report
An AI visibility audit is a documented review of sampled answers, brand accuracy, sources and website readiness. Its value is a defensible list of next actions, with enough evidence for another person to review.
Set a reproducible scope
Write down the business, audience, buyer tasks, prompt list, engines and review period. Include discovery and verification questions, and record settings that can change the answer. State where the sample is limited.
Inspect answers and the website together
Record mentions, linked citations, competitor descriptions and factual errors. Open the relevant pages and check their content, response codes, canonical links, navigation and mobile usability. Treat citation observations and crawler-log evidence as separate data.
Deliver a prioritized work list
For each issue include the prompt or URL, observed problem, supporting evidence, suggested correction, owner and review date. Prioritize broken buying journeys and incorrect facts before speculative content experiments. Separate completed fixes from changes that need product knowledge or customer evidence.