How do you measure answer engine optimization?

How do you measure answer engine optimization? Define a fixed set of real, brand-free buyer questions, run them across the relevant answer engines, and retain the raw answers, mentions and citations for each result. Compare the same prompt-and-engine cells over time, rather than treating one response as a permanent rank.

Useful measures include whether your brand appeared, whether it appeared early or later in the answer, how accurately it was described and which sources were cited. These are evidence signals, not proof that a change caused a recommendation. Engine modes, web retrieval and model updates can all affect an answer.

Our method explains how we measure AI visibility and why the receipts behind a score matter more than the score alone.