Glossary · Measurement
AI Visibility Audit
A one-time, comprehensive diagnostic assessment of a brand's current presence, sentiment and positioning across a defined prompt set and multiple AI engines, typically run before ongoing tracking begins.
What it covers
A typical audit runs a representative prompt set — covering informational, comparison and recommendation queries — across every major AI engine, then scores the brand on mention frequency, sentiment, inclusion versus recommendation, and citation sources. The output is a baseline snapshot of where the brand stands today, not a trend.
How it differs from ongoing tracking
Ongoing tracking re-runs a fixed prompt set on a schedule to build a trend line over time. An audit is a broader, deeper, one-time pass — it often expands the prompt set, digs into why gaps exist, and sets the baseline that ongoing tracking is measured against afterward.
Typical output
Audits are usually delivered as a report combining the raw scores with a prioritized list of gaps and opportunities, similar to a visibility gap analysis but broader in scope and intended as a starting point rather than a recurring check-in.
See more terms in the full glossary, or read the AI Visibility 101 guide for the full picture.