AI recommendation likelihood

Recommendation likelihood asks the commercially decisive question: when a buyer asks an AI for options in your category — without naming you — do you appear on the shortlist? It is a function of training presence, entity clarity, category association and the engine's retrieved evidence, and differs from mere recognition: engines know many brands they never recommend.

Improving it means strengthening category association (be described, everywhere, as a *category* leader for a *specific* audience) and dominating the comparison surfaces engines cite when composing shortlists.