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Analytics · Scoring

One number for your
AI visibility.

The Visibility Score blends mention rate, answer position and sentiment into a single 0–100 metric. Watch it move as you ship GEO improvements.

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app.llmmetrix.com/visibility
Illustrative
Visibility Score
84+36
Mention Rate
68%
+9%
Sentiment
+0.42
+0.11
Position
#2
+3

Why it matters

Built to move your AI visibility from invisible to inevitable.

A single source of truth

Stop juggling 12 metrics. One score that the whole team — exec to engineer — can rally around.

Trend over time, full history

See exactly how your score moves over 7, 30 and 90 day windows with sparklines and breakdowns.

Composited from real signals

Mention rate, answer position and sentiment — combined into a single weighted 0–100 score.

Per-engine breakdown

Drill into each engine to see exactly where the score is being earned or lost.

Benchmarked vs competitors

See your score next to the competitors you track, so one number tells you where you stand in the category.

Track the impact of your work

Watch the score respond over the scans after you ship changes, so you can gauge what's moving the needle.

Who it's for

A daily edge for the teams shaping AI answers.

CMOs

Report a single AI visibility KPI to the board, the same way you report SEO traffic or NPS.

GEO leads

Tie every content sprint to a measurable score lift, with full attribution for each change.

Founders

Know exactly where you stand vs the category leader on the metric that matters in 2026.

FAQ

Questions, answered.

How is the Visibility Score calculated?
It is a weighted composite of mention rate, answer position (first vs fine-print) and sentiment, expressed on a 0–100 scale. Mention rate carries the most weight, followed by position, then sentiment.
Is the score comparable across companies?
The score uses the same formula for every brand, so it is calculated consistently across companies. It reflects raw visibility signals rather than being normalised against an industry cohort — compare it against the competitors you track for category context.
How quickly does the score react to changes?
The score updates each time a scan runs (refresh cadence varies by plan). How fast the engines themselves reflect your content changes depends on the engine, but you will see the score move on the scans after you ship updates.
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