Factuality and Risk
Which claims about us are wrong or outdated?
Example finding
Catch outdated facts
When answers repeat a price or claim from an older page, it is flagged as outdated with the source that still shows it.
Quick answer: Factuality and Risk
Factuality and Risk checks claims made in answers against your confirmed record and website evidence and labels them correct, incorrect, unsupported, conflicting, outdated or unknown. It is coming in V2.
Coming in V2. Arrives with the second release. This page describes the intended capability so you can see where the product is going. It is not available today.
What you see
Lens five. Claims are extracted from answers and checked against your confirmed record and website evidence, then labelled correct, incorrect, unsupported, conflicting, outdated or unknown.
Claims
Statements AI makes about your brand and products.
Verification status
Correct, incorrect, unsupported, conflicting, outdated or unknown.
Evidence
The website or source evidence behind each status.
Risk flags
Negative or incorrect facts that recur.
How it works
- 1
Extract
Observable claims are pulled from answers.
- 2
Verify
Each claim is compared with confirmed Brand Intelligence and website evidence.
- 3
Flag
Recurring wrong or risky claims become correction opportunities.
How it is measured
Definitions come first, so numbers stay comparable from one audit to the next.
- Claim status
- One of six verification statuses.
- Recurrence
- How often a claim appears across runs.
- Confidence
- How certain the classification is, with evidence.
Good to know. Coming in V2. Verification is only as good as your confirmed record and the evidence available, and unknown is a valid result.
Common questions
Will it call something wrong without evidence?
No. A claim needs evidence for a status, otherwise it is marked unsupported or unknown.
When is it available?
Coming in V2.
Is it available now?
It is coming in V2.
A short checklist
- Confirm your record first
- Review flagged claims
- Check the evidence
- Prioritise recurring errors
- Plan corrections at the source
Who uses it
- Brand and comms
- Wrong claims caught early.
- Legal and compliance
- Evidence backed statuses.
- Support
- Fewer tickets from wrong information.
Common mistakes
Calling a claim wrong without evidence
Unknown is a valid result.
Ignoring recurrence
Repeated errors matter most.
Expecting it at launch
It is coming in V2.
See Factuality and Risk on your own brand.
Start with a first audit. We show where you appear, who is named instead, and what to fix first.