Glossary

What is an AI visibility score?

Definition

An AI visibility score is a single number that sums up how visible a brand is in AI answers. It is usually built from how often the brand is mentioned, where it appears and how it is described.

Key points

Each tool builds its score differently, so scores from two tools are not directly comparable.
Common inputs are mention rate, position, recommendation, citations and sentiment.
The trend against the same competitors on the same prompts matters more than the number itself.
In Axiom GEO the AI visibility score runs from 0 to 100, made up of mention rate (half), citation rate (30%) and positive sentiment (20%).

Also known as AI search visibility score, AI brand score

What does it mean in practice?

AI visibility score refers to a single number that sums up how visible a brand is across AI answers, built from signals such as mentions, position and sentiment.

Tools build the score in different ways, so two tools can give the same brand different numbers. The common inputs are mention rate, position in the answer, whether the brand is recommended, citations of its pages and sentiment.

Say a garden room company is named in the same number of answers as a rival. The rival is listed first and recommended each time. The garden room company sits near the end of most lists and is never recommended. Its score should come out lower, even though the mention counts match.

In Axiom GEO the main measures are share of voice, weighted by position, and a 0 to 100 prominence score. The prominence score folds in position, recommendation, citations and sentiment.

Why does it matter for AI search?

A score helps you see the trend and compare engines, markets and competitors. It is less useful on its own. There is no industry standard, so a good score depends on your market and your rivals.

The best test is whether your score moves up against the same competitors over time, on the same prompt set. Our guide on how to measure AI visibility explains what to look at beyond the headline number. AI visibility tracking shows the underlying answers, so you can see why a score moved.

How does Axiom GEO work out its AI visibility score?

Axiom GEO shows an AI visibility score from 0 to 100 on each client's dashboard. It is made up of three parts. Mention rate counts for half, because being named at all is the first thing that matters. Citation rate counts for 30%, which rewards answers that link to your own site. Positive sentiment counts for the last 20%.

The score sits next to share of voice, which is weighted by where in each answer you are named, and a prominence score that adds recommendation. Our page on AI visibility tracking explains how the answers are collected and read.

These terms feed into an AI visibility score.

AI visibility, the wider idea the score tries to sum up.
Share of voice, your portion of mentions against competitors.
Prominence, how strongly you feature in each answer.
Sentiment, the tone an answer uses about you.

Common questions

What is a good AI visibility score?

There is no industry standard, so a good score depends on your market, your rivals and the tool. A useful test is whether your score is rising against the same competitors, on the same prompts, over time. Leading your category on the questions that bring in work matters more than any fixed number.

Why do different tools give me different scores?

Each tool uses its own prompts, engines and formula. One might count any mention, another might weight by position or sentiment. Answers also vary run to run. Comparing scores across tools tells you little, so it helps to pick one method and track it consistently.

Reviewed 27 September 2026

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