Definition
Prompt tracking is monitoring a fixed set of questions (prompts) across AI engines over time to measure brand visibility: who gets mentioned, cited and recommended for each prompt. It is the AI-era equivalent of rank tracking. A useful prompt set mirrors real buyer questions ("best X for Y", "X alternative", "is X worth it") rather than vanity keywords. A workable starter set is 20-50 prompts spanning four intents: category recommendations, direct comparisons, problem questions your product solves, and brand verification ("is X legit"). Because engines answer stochastically, track each prompt across repeated runs and report trends rather than single answers — a brand that appears in three of five runs this month and five of five next month is the signal you're looking for. Movement in prompt tracking data — after shipping fixes or content — is the main evidence that GEO work is paying off.