What Recommendation rate means in GEO
A single run does not describe real visibility. Metrics should be aggregated across comparable prompts, engines and dates.
Why it matters
Define which verbs and contexts constitute a recommendation and manually validate a sample before automation.
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
Recommendation rate 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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