An AI visibility scan is most useful when it turns a vague visibility concern into a list of evidence and missing information. Measure improvement by comparing the same evidence over time: factual consistency, coverage of important customer questions, completeness of service and location information, quality of visual examples, structured outputs, crawlability and whether test prompts retrieve the correct approved facts. Record a baseline, make the changes, then repeat the same checks and report what improved. Citation or recommendation frequency can be observed as a secondary signal, but it should never be sold as guaranteed because external readers control their own retrieval and response choices.
Public Q&A
Why can an AI visibility scan find gaps that an ordinary SEO audit misses?
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