AI visibility metrics · interpretation

Choose AI visibility metrics from the decision.

Start with the decision you need to make, then select the returned metric and operation that answers it. Mentions and AI Search Volume are context-dependent evidence, not a universal AI visibility or share-of-voice score.

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Direct answer

Match the evidence to the decision.

Keep the selected provider, target, operation, locale, and returned fields attached to every interpretation.

Supported workflow

Inspect this evidence question step by step.

Use mentions for occurrence questions.

Mention counts describe returned occurrences for a selected target and operation context. They do not by themselves explain sentiment, causation, reach, or business impact.

Use AI Search Volume only where returned.

AI Search Volume belongs to the operation that supplies it. Keep it separate from conventional keyword search volume and do not extrapolate it to unsupported providers or markets.

Treat share of voice as a defined calculation.

A share-of-voice question needs an explicit target set, denominator, provider, and time window. Gavix evidence does not automatically establish a universal share-of-voice calculation.

Keep the evidence boundary visible.

Record the provider, target, operation, location, language, and returned fields. The result is bounded evidence—not a guarantee, attribution model, exhaustive index, or automatic optimization outcome.

Related evidence

Continue with the operation that answers the next question.

Keep the product boundary explicit.

Does Gavix provide one universal AI visibility score?

No. Use operation-specific returned evidence and document the context.

Is AI Search Volume the same as ordinary keyword search volume?

No. Interpret each metric according to the contract and context that returned it.

Continue the workflow

Inspect a real evidence question in Gavix.

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