intermediate6 min read·Schema Markup

ClaimReview Schema for Fact-Checking

ClaimReview schema marks up fact-check articles - used by Google's Fact Check Explorer and increasingly cited by AI systems for accuracy validation.

ClaimReview Schema: Fact-Check Rich Results and AI Verdict Citation

ClaimReview schema marks fact-checking articles with machine-readable verdict labels - True, False, Mostly True, Satire. When Google's AI systems generate answers about contested factual claims, they query the Fact Check Explorer database (which indexes ClaimReview schema) to surface verified verdicts. For fact-checking organizations, ClaimReview creates a direct AI citation pathway for claim-related queries.

For medical YMYL context, see Medical Schema and E-E-A-T for AI.

ClaimReview Rating Vocabulary - hover each rating

Google supports any textual rating label - these are the most widely recognized IFCN-aligned labels. The ratingValue (1-5 scale) in schema maps to these labels for machine readability.

ClaimReview Schema Pattern
{
  "@context": "https://schema.org",
  "@type": "ClaimReview",
  "url": "https://factcheck.org/review/ai-claim-2026",
  "claimReviewed": "AI Overviews appeared in 100% of Google searches in 2025",
  "datePublished": "2026-01-20",
  "author": {
    "@type": "Organization",
    "name": "Search Fact Check",
    "url": "https://searchfactcheck.org"
  },
  "reviewRating": {
    "@type": "Rating",
    "ratingValue": "2",
    "bestRating": "5",
    "worstRating": "1",
    "alternateName": "Mostly False"
  }
}

Minimum schema triggers the Fact Check rich result. Required: claimReviewed, datePublished, author, reviewRating with alternateName.

Frequently Asked Questions

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