METRIC

Being mentioned is not the same as being recommended.

GEOHub isolates whether AI models actively recommend your brand when users ask who to choose, compare, or shortlist.

Problem

Many brands appear in AI answers but still fail to convert because the model frames them as background context instead of a recommendation.

Metric definition

Recommendation visibility measures how often your brand is positioned as a viable choice rather than a neutral mention.

How GEOHub measures it

GEOHub compares answer patterns across recommendation prompts and shows whether your brand is actively chosen, passively mentioned, or replaced.

Sample interpretation

If recognition is high but recommendation visibility is weak, your brand may have awareness without demand capture in AI answers.

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FAQ

FAQ

What is recommendation visibility?

It measures whether AI answers position your brand as a recommended option when users ask who to choose.

Can a brand have high awareness but low recommendation visibility?

Yes. A model can know a brand well and still recommend competitors first.

Why does recommendation visibility matter?

Because demand shifts when AI creates the shortlist before users ever click a site.