AI conversion diagnosis spots unusual drop-off and joins behavioral signals to suggest what to investigate. A published product example has agents inspect funnels and replays.
The demo overlays a payment-stage drop, an error marker, and repeated clicks, then flags the payment button response as a candidate issue. That candidate is a hypothesis to verify, not an instruction to deploy a fix.
Coincident signals do not prove cause. Confirm with logs and reproduction, then verify the repair through a test or follow-up monitoring.
When to use
Use it to prioritize investigation when conversion drops suddenly and several causes are plausible.