TL;DR
- Verification fails when teams don’t extract the draft’s hidden claims.
- Prioritize Tier-A (decision-changing) claims first.
- Clarity flags unsupported claims and overconfident phrasing at the sentence level.
AI Claim Verification (What to Validate First)
Not AI search monitoring. Not authorship detection. Claim verification means identifying what the draft asserts—then validating the claims that matter most.
Step 1 — Extract claims
Scan for:
- Numbers, stats, dates, rankings, comparisons
- “Best/most/proven/always” language
- Causal verbs (drives, causes, leads to)
- Recommendations and promises
- Risk statements (safe, compliant, low-risk)
Step 2 — Prioritize by impact
Tier A (must verify)
Claims that could change a decision or create risk (budgets, compliance, market sizing, leadership recommendations).
Tier B (should verify)
Claims that affect credibility (definitions, feature comparisons, named entities).
Tier C (nice to verify)
Low-impact background context.
Step 3 — Validate Tier A first
- What evidence would prove/disprove the claim?
- What sources are authoritative for this domain?
- Does the draft overstate certainty?
Claim verification checklist
- [ ] Claims extracted
- [ ] Tier-A claims verified with strong sources
- [ ] Unverifiable Tier-A claims labeled or removed
- [ ] Comparisons use consistent units/timeframes
- [ ] Overconfident language justified or softened
How Clarity helps
Clarity flags unsupported claims, overclaims, and mismatched evidence, then proposes surgical edits.
Related: Framework · Citation verification · Reasoning checker