What is Share of Recommendation?
How often AI engines recommend a brand, against its competitors, when buyers ask the questions that decide a purchase.
Share of Recommendation is read per engine, from a fixed panel of real buyer questions run on a schedule. It counts recommendations, not mentions: being listed in an answer and being the one the answer tells the buyer to choose are different outcomes.
Because answers change from run to run, it is read as a trend across repeated runs. A single reading of an engine is noise, not a measurement.
See it at work
Other terms: Recommendation funnel · Answer engine optimization (AEO)