A credible measurement plan separates what is reproducibly observable on the public web from what a person observes in a particular live answer engine.
Decide whether you need to assess public readiness or document a live output. Define the entity, pages, facts and markets for a public review; define engines, prompts, dates and comparison rules for live research.
Use a deterministic assessment to review technical access, entity consistency, source clarity and structured data. Record findings as public evidence, not as a proxy metric for live mentions or recommendations.
Request a Deep AI Engine Investigation for human-collected evidence from selected live engines. Preserve conditions and report limitations; outputs may vary and no future behavior is guaranteed.
Start with reproducible public evidence before commissioning output research.
Start an automated scan