{
  "kind": "answer",
  "studySlug": "anatomy-of-an-ai-citation",
  "slug": "what-should-you-copy-from-pages-that-already-win-citations",
  "title": "What should you copy from pages that already win citations?",
  "description": "Copy the structure, not the brand halo. Use explicit answers, dense but skimmable sections, visible authorship, clear metadata, and supporting schema where it genuinely helps parseability.",
  "lastUpdated": "2026-03-30",
  "lastTested": "2026-03-30",
  "sourceStudyUrl": "/trakkr-research/anatomy-of-an-ai-citation",
  "sourceStudyTitle": "The Anatomy of an AI Citation",
  "claimIds": [
    "anatomy-of-an-ai-citation:schema-rate",
    "anatomy-of-an-ai-citation:canonical-rate",
    "anatomy-of-an-ai-citation:og-rate",
    "anatomy-of-an-ai-citation:person-lift"
  ],
  "relatedSlugs": [
    "answer:do-ai-cited-pages-usually-have-schema-markup",
    "answer:does-faq-schema-correlate-with-higher-citation-volume",
    "fact:pages-with-no-faq-signal-average-twenty-five-point-four-citations",
    "tracker:schema-type-lift-tracker"
  ],
  "methodologySummary": "Built from 1,465 AI-cited pages across 950 domains, using 28,033 citation opportunities and page-level crawl analysis.",
  "limitations": [
    "Most findings are correlational. Overrepresented traits are not the same as proven causal lifts.",
    "Some subgroups, especially FAQ Schema + FAQ Content, are relatively small and should be read carefully.",
    "The study looks at cited pages rather than all uncited pages in the open web, so it is best used as a benchmark profile."
  ],
  "keywords": [
    "AI cited pages",
    "schema markup AI",
    "FAQ schema",
    "citability",
    "copy winning citation pages",
    "AI citation blueprint"
  ],
  "schemaHints": {
    "pageType": "Article",
    "includeDataset": true
  },
  "question": "What should you copy from pages that already win citations?",
  "directAnswer": "Mostly, copy the structure and metadata. Use explicit answers, dense but skimmable sections, visible authorship, clear metadata, and supporting schema where it genuinely helps parseability.",
  "answerSummary": "Applying these structural patterns serves as a template system for building citeable pages intentionally, ensuring machines can easily parse and extract the core facts.",
  "keyFacts": [
    {
      "label": "Pages with schema",
      "value": "67.8%",
      "detail": "Share of cited pages with schema markup.",
      "claimId": "anatomy-of-an-ai-citation:schema-rate"
    },
    {
      "label": "Canonical tag rate",
      "value": "91.4%",
      "detail": "Share of cited pages with a canonical tag.",
      "claimId": "anatomy-of-an-ai-citation:canonical-rate"
    },
    {
      "label": "OG tag rate",
      "value": "89.2%",
      "detail": "Share of cited pages with Open Graph tags.",
      "claimId": "anatomy-of-an-ai-citation:og-rate"
    },
    {
      "label": "Person schema lift",
      "value": "9.4x",
      "detail": "Person schema over-indexes heavily on cited pages.",
      "claimId": "anatomy-of-an-ai-citation:person-lift"
    }
  ],
  "evidenceTable": [
    {
      "label": "Pages with schema",
      "value": "67.8%",
      "note": "Share of cited pages with schema markup."
    },
    {
      "label": "Canonical tag rate",
      "value": "91.4%",
      "note": "Share of cited pages with a canonical tag."
    },
    {
      "label": "OG tag rate",
      "value": "89.2%",
      "note": "Share of cited pages with Open Graph tags."
    },
    {
      "label": "Person schema lift",
      "value": "9.4x",
      "note": "Person schema over-indexes heavily on cited pages."
    }
  ],
  "whyItMatters": "Teams can use these findings as an operating rule when deciding what to publish, refresh, or measure next, prioritizing machine readability over purely aesthetic design choices.",
  "whatToDo": [
    "Make answer pages denser, more structured, and more explicit about authorship and freshness.",
    "Use schema where it helps machine readability, but avoid treating markup as a substitute for strong content.",
    "Design pages to be extractable using concise answers, tables, lists, authors, and clearly marked evidence."
  ],
  "faqs": [
    {
      "question": "How common is schema markup on cited pages?",
      "answer": "Pages with schema account for 67.8% of cited pages."
    },
    {
      "question": "Does authorship markup impact citation rates?",
      "answer": "Person schema over-indexes heavily on cited pages, showing a 9.4x lift."
    },
    {
      "question": "Which basic HTML tags are most prevalent on cited URLs?",
      "answer": "The canonical tag rate is 91.4% and the OG tag rate is 89.2% among cited pages."
    }
  ]
}