Answer observations
Record the prompt, answer, provider, locale, timestamp, and collection method as separate evidence.
Make AI-answer evidence inspectable.
Cirv Sight is designed to give teams a defensible record of how answer systems represent a business, grounded in authorized observations, source-linked records, and visible limitations.
Discuss the founding cohort Workspace is not publicly open
Current status: product direction and founding-cohort conversations. There is no public app or self-serve access.
Every claim has a state.
Cirv Sight is designed to keep evidence classes separate so the interface never hides an unknown behind a blended score.
Source-linked records
Keep citations and supporting pages connected to the observation they can actually support.
Verified websites
Bind an organization to domains it controls before opening an evidence workspace.
Visible limitations
Show missing, partial, failed, and unavailable evidence without replacing it with a score or fixture.
From domain proof to decision record.
- 01
Verify the website
Prove the organization controls the domain being reviewed.
- 02
Approve the scope
Choose the prompts, markets, sources, and collection boundaries.
- 03
Run an evidence sprint
Collect authorized observations with method and provenance attached.
- 04
Review and act
Inspect the records, their limits, and the operational decisions they support.
No score without support.
Cirv Sight does not infer citation value, crawler identity, revenue, or payouts from a website visit. Commercial and payout claims require their own authorized partner records and reconciliation.
Missing, partial, failed, and unavailable observations remain visible as their actual state. Sample workspaces are clearly marked and never substituted for live customer evidence.
Bring one real evidence question.
We will review the use case, access boundary, and first evidence sprint with you.