Proof Loop
The Proof Loop re-tests the same AI prompts after a fix ships and compares baseline visibility to live results. It shows whether citation rate, mention rate, competitor replacement, or source coverage changed — with confidence notes rather than false guarantees.
What does the Proof Loop measure?
The Proof Loop measures prompt-level movement after a fix: whether your brand becomes mentioned, cited, or recommended more often, whether competitors lose share, and whether source mix shifts toward your owned or intended third-party sources.
Why use the same prompt set?
If the question changes, the answer changes. Proof requires holding the prompt fixed, re-running it on a schedule, and comparing the same engine and prompt against the original baseline.
Fast retrieval versus slow training effects
Some changes can appear quickly when an engine retrieves fresh pages. Other changes depend on slower model behavior, source indexing, or third-party corroboration. RankEcho separates fast retrieval-style movement from slower effects where possible.
What proof reports are for
Proof reports help teams justify work. Agencies can show clients what changed. Founders can see whether a category page or source play moved visibility. SEO teams can prioritize what to ship next based on measured movement rather than assumptions.
Frequently asked questions
No. RankEcho reports controlled correlation: same prompt, before and after, with confidence notes. AI answers are probabilistic, so honest proof includes uncertainty.
Weekly is enough for many teams. Daily re-tests are useful when fixes are actively shipping and you want to catch fast retrieval movement.