A useful AI visibility audit measures answers—not a made-up universal score.
Start with real buyer questions, preserve exactly what each selected AI assistant returned, and keep mention, recommendation, accuracy and source coverage separate.
The practical difference
The distinction matters because each method answers a different business question.
- Define neutral buyer questions without naming the target business.
- Record the provider, model context, date, complete answer and returned sources.
- Separate a mention from an active recommendation.
- Check material statements against attributable public evidence.
- Turn confirmed gaps into exact, reviewable improvements.
- Repeat the unchanged questions and retain changed, unchanged and unresolved results.
Where they can work together
Clear public evidence, accurate business information and good site foundations support more than one discovery channel.
- Agree the commercial question first.
- Keep measurement methods separate.
- Do not merge unlike metrics into a single unsupported score.
Claim boundary
An audit is a dated sample. It cannot establish a permanent ranking, market share or guaranteed future recommendation.
- Keep the prompt and date attached.
- Retain uncertainty.
- Avoid causation and guarantee language.
What to know before you begin
Is Verify Presence a replacement for another discipline?
No. It is an AI Presence Management workflow focused on selected AI answers, public evidence and controlled improvements.
Can the measurements be compared over time?
Yes, when the prompt, scope and classification remain comparable and the model/date context is retained.
Is any result guaranteed?
No. External AI and search systems remain outside Verify Presence’s control.