How do teams detect AI-search content drift before it reaches users?

Detect when search-facing or answer-engine content drifts from governed source truth before the wrong claim becomes canonical. AI-search, content, SEO, and platform teams supervising generated or programmatic public surfaces.

Source stateSERPRadio source truth said action = book_now while the rendered surface said action = monitor.

becomes perceptible

Failure shapeA polished public surface contradicts the source state that is supposed to govern it.

The signal arc

nominal
warning
critical
handoff
recovery

Decision supported

What the human can decide sooner

Queue a repair brief and human review before crawlers, agents, or users consume the wrong claim.

Listening Receipt

What stays inspectable

The receipt names the source truth, rendered claim, defect, warning state, and review path.

Proof object: The Drift Recovery Run replays a documented SERPRadio source/render mismatch as a static fixture.
Truth status: Documented replay

Boundary: No claim of a live correction engine, unattended publishing, private SERPRadio data, or source-selection logic.