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Visibility measurement

What is Discovery gap?

The gap between name recognition and discovery

Discovery gap describes brands an AI recognizes when named but does not recommend in generic queries. It separates brand knowledge from competitive visibility.

What Discovery gap means in GEO

A single run does not describe real visibility. Metrics should be aggregated across comparable prompts, engines and dates.

Why it matters

Compare equivalent branded and non-branded queries using the same engine and period.

What to check in practice

Document the formula, denominator, engines, prompts, location, period and error handling before interpreting the number.

How it connects to other concepts

Discovery gap belongs to visibility measurement. It is best analyzed alongside related terms because AI visibility depends on several stages and signals rather than one isolated optimization.

Common mistake

Comparing percentages from tools or periods that use different universes and weights.

Turn these concepts into metrics

Bee LLM tracks mentions, citations, position, sentiment and competitors across major AI engines.

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