Docs
How to read the AI visibility score
Interpret the score in context with engine breakdowns, prompt clusters, competitor ordering, and source-level evidence.
What the score does and does not mean
The visibility score summarizes whether your brand appears across the selected prompt set and engines. It is useful for trend tracking, but it should never be read without competitor and source context.
Always pair it with
- Engine-level movement
- Prompt cluster breakdown
- Competitor appearance share
- Cited source analysis
When a score change deserves action
- When the same prompt cluster moves repeatedly over multiple checks
- When competitors gain or lose share at the same time
- When the cited source mix changes in a way that explains the movement
- When the score shift matches a page, source, or entity change you actually shipped
Frequently asked questions
Common questions about this workflow, use case, or research area.
Should I react to every score movement?
No. Score movement becomes useful when it repeats, matches a prompt cluster you care about, and lines up with source or competitor changes you can explain.
Why can the score improve without more conversions right away?
Because AI visibility is an upstream signal. It can improve category discovery and shortlist presence before that change shows up in traffic or pipeline.
Next Step
Check your own brand against these patterns
If this page matches what you are seeing, run a free audit to review prompt coverage, competitor gaps, and the sources shaping AI answers in your category.