← Glossary

AI visibility score

An AI visibility score is a single number summarizing your AI visibility, typically blending citation share, sentiment, query coverage, and platform breadth. It is a useful north star but inherently lossy.

How should you use an AI visibility score?

A visibility score rolls several signals into one figure so you can see the trend at a glance and report it simply. It blends how often you are cited, how positively you are described, how many of your target queries you appear on, and across how many platforms. As a north-star metric tracked over time, it is genuinely useful.

It is also lossy, and you should treat it that way. Two brands can share the same score while having completely different gaps: one strong everywhere but on one platform, another thin across the board. The score tells you the altitude, not the terrain, so it can hide the specific weakness you most need to fix.

The fix is to always pair the score with a per-query, per-platform breakdown. GrowthManager's free visibility check reports the headline number and the underlying detail together, so you can act on the specifics rather than chase a single figure.

When you report the score upward to leadership, keep three columns: the headline number, the trend across the last four weeks, and a single sentence naming the specific gap you are actively closing this quarter. That format prevents the score from collapsing into a vanity metric while still giving stakeholders something simple to track. It also protects the program from being measured purely against a number that engines vary stochastically week to week. The underlying gap-fix narrative is what proves the program is doing useful work even on a week when the headline number wiggles.

See where you stand

Free AI visibility check across ChatGPT, Perplexity, Gemini, and Claude. Results in under a minute.