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AI visibility score: definition and calculation

An AI visibility score summarizes a defined prompt test. Calculate one from real answer counts while keeping visibility, prominence, citations, accuracy, and coverage separate.

By Kyle Kane, product maintainer and editorPublished Fact-checked

AI visibility score definition

A summary of observed answers under one protocol

An AI visibility score summarizes how a target brand performed in a defined set of AI-generated answers. It is not a permanent rank, a property of the domain, or a universal grade. Its meaning depends on the questions, providers, market, date, grounding rules, and formula used to create it.

The calculator below weights discovery visibility at 50%, prominence at 20%, claimed-domain citations at 20%, and factual accuracy at 10%. Coverage stays separate so failed collection cannot masquerade as low brand visibility. See how those metrics map to AEO and GEO outcomes.

Observed-answer inputs

Enter counts from a real prompt test

Answers successfully collected with the required grounding.

Count the brand only when it appears in the answer itself.

Answers where the brand leads or appears in the primary shortlist.

Eligible answers linking to the brand's canonical domain.

Mentioning answers with materially correct positioning and facts.

Transparent composite

32/ 100

Composite = 50% visibility + 20% prominence + 20% claimed-domain citation rate + 10% factual accuracy. Keep the components visible; the composite alone cannot explain what changed.

Visibility
25%

mentions ÷ eligible answers

Prominence
40%

prominent ÷ mentioning answers

Owned citations
12%

claimed-domain citations ÷ eligible answers

Accuracy
88%

accurate ÷ mentioning answers

Interpretation guardrail

A score is a summary of a test—not a property of the brand

The same brand can score differently when the question set, providers, locale, web-search behavior, date, or eligibility rules change. Save those conditions beside every score.

Compare reruns only against the same frozen benchmark. Read the component rates before acting: a citation problem requires a different response from an accuracy or discovery problem.

Need the underlying answer evidence rather than manual counts? The AI search visibility tool runs 25 frozen buyer questions across four grounded providers and preserves every eligible answer, source, and failure.

Contextual next steps

Connect this resource to answer evidence

Use the next resource that matches the decision at hand: define the program, inspect the method, or collect a comparable cross-provider baseline.

Common questions

Use the resource without overstating the result

What does this AI visibility score measure?

It summarizes observed answers from a defined prompt test. The composite weights brand visibility at 50%, prominence at 20%, claimed-domain citations at 20%, and factual accuracy at 10%.

Does the calculator scan a website?

No. Website readiness and observed answer visibility are different measurements. Enter counts from real, time-stamped AI answers rather than inferring visibility from schema, word count, or other proxies.

What counts as an eligible answer?

An eligible answer completed under the defined protocol and met any required grounding or source conditions. Failures and unsupported runs belong in coverage, not silently in the miss denominator.

Is the composite comparable across tools?

Only when the tools use the same questions, providers, collection conditions, eligibility rules, and formula. Otherwise similar-looking scores can measure materially different things.

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Put ai visibility score calculator into a measured workflow

Preserve the questions, conditions, answers, citations, and failures so the next decision rests on inspectable evidence.

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