{
  "kind": "answer",
  "studySlug": "anatomy-of-an-ai-citation",
  "slug": "what-does-the-benchmark-say-about-page-design-for-ai-citations",
  "title": "What does the benchmark say about page design for AI citations?",
  "description": "It says citeable pages are explicit, structured, and evidence-dense. They tend to be long enough to resolve a topic and formatted so a model can extract answers confidently.",
  "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:word-count",
    "anatomy-of-an-ai-citation:canonical-rate",
    "anatomy-of-an-ai-citation:og-rate"
  ],
  "relatedSlugs": [
    "answer:what-is-the-most-useful-way-to-interpret-the-schema-data",
    "answer:why-does-content-density-show-up-so-strongly-in-the-citation-benchmark",
    "fact:more-than-two-thirds-of-cited-pages-have-schema",
    "tracker:cited-page-traits-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",
    "page design AI citations",
    "citability design"
  ],
  "schemaHints": {
    "pageType": "Article",
    "includeDataset": true
  },
  "question": "What does the benchmark say about page design for AI citations?",
  "directAnswer": "Mostly, the benchmark indicates citeable pages are explicit, structured, and evidence-dense. They average 2,289.6 words to resolve a topic and are formatted so a model can extract answers confidently.",
  "answerSummary": "Answer strips, tables, metadata, schema, and visible authorship function as practical design choices for machine extraction rather than mere SEO ornament.",
  "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": "Average word count",
      "value": "2,289.6",
      "detail": "Average word count of cited pages.",
      "claimId": "anatomy-of-an-ai-citation:word-count"
    },
    {
      "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"
    }
  ],
  "evidenceTable": [
    {
      "label": "Pages with schema",
      "value": "67.8%",
      "note": "Share of cited pages with schema markup."
    },
    {
      "label": "Average word count",
      "value": "2,289.6",
      "note": "Average word count of cited pages."
    },
    {
      "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."
    }
  ],
  "whyItMatters": "This turns study findings into operating rules teams can use to prioritize structural elements like canonical tags and schema when deciding what to publish, refresh, or measure next.",
  "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": "The benchmark shows that 67.8% of cited pages use schema markup."
    },
    {
      "question": "What is the average word count for a cited page?",
      "answer": "The average word count of cited pages is 2,289.6 words."
    },
    {
      "question": "Do cited pages typically use canonical and Open Graph tags?",
      "answer": "Yes, the canonical tag rate is 91.4% and the Open Graph tag rate is 89.2% among cited pages."
    }
  ]
}