Visibility Audit
A structured measurement of your brand’s current AI search visibility across relevant queries — the essential starting point for AI optimization.
Plain Language Definition
A visibility audit is a thorough checkup to see exactly how often and accurately your brand appears in AI search results across a representative sample of relevant queries. It establishes your baseline Share of Model, identifies citation gaps, and measures sentiment. A visibility audit is the starting point for any serious AI search optimization program.
Technical Definition
Structured multi-model prompt simulation methodology using intent-balanced standardized query sets executed programmatically across a defined model panel — evaluating baseline brand inclusion rate, position, sentiment, and competitive displacement against a query coverage framework.
Why This Matters for AI Search Visibility
You cannot optimize what you have not measured. A visibility audit gives you a quantified baseline — your current SoM, mention frequency, and citation gaps — against which to measure the impact of every subsequent optimization action. Without it, optimization is guesswork.