Reading the Score
What visibility, coverage and the per-model breakdown mean, and which movements are worth reacting to.
Visibility Score
How often you appear in the answer across your tracked prompts. Compare it to your own previous number, and to your competitors' on the same prompt set. Nothing else.
The score only means something next to the prompt set behind it. The same number on a tight set of buying prompts and on a set padded with generic category questions mean two different things.
Content Coverage
How much of the tracked prompt set you have material addressing. Coverage is the ceiling on visibility: a model cannot cite a page you never wrote.
Reading them together is a way of using the two numbers, not a view in the product:
| Coverage | Visibility | Reading |
|---|---|---|
| High | High | Working. Keep the prompt set fresh. |
| High | Low | You wrote it and it is not being cited. A sources problem, not a writing problem. |
| Low | Low | Straightforward. Write the missing pages. |
| Low | High | Rare. Someone else's page is carrying you: fragile, and worth fixing. |
Per-model Breakdown
ChatGPT, Gemini, Perplexity and Claude are scored separately, and in practice they disagree on the same prompt. The split tells you where to look:
- Strong on one model, weak on the rest. The material exists somewhere the other models are not reading. Compare the cited sources for those prompts.
- Weak on one model everywhere. Look at what that model cites instead, in cited sources.
- Even and low. Nothing you have published is addressing the question. A content problem, not a distribution one.
get_tracked_prompt_history filters by model, so you can pull the per-model
evidence behind any of these over time.
Competitor Visibility
A visibility percentage for each competitor you track, on the same prompts. Read where the gap concentrates: a competitor who owns comparison prompts is worth a campaign this quarter.
What Movement Means
Ignore single scans
Models do not give the same answer every time. One scan is one sample.
Read the trend
Look at several scans in a row, not at one point.
Attribute against publishes
A rise after publishing pages that targeted those prompts is a story you can defend. Scan before you publish. See tracked prompts.
Reports for a period download as PDF or DOCX via list_ai_visibility_reports
and get_ai_visibility_report over
MCP. For the underlying prompt, model and
competitor evidence, use get_tracked_prompt_history.