{
  "kind": "answer",
  "studySlug": "citation-sources",
  "slug": "do-review-sites-still-matter-to-ai-models",
  "title": "Do review sites still matter to AI models?",
  "description": "Yes, especially for commercial and comparative prompts. Reviews make up only 0.89% of the full citation index, but they are highly relevant on buying-intent queries where models need ranking, pros and cons, and category",
  "lastUpdated": "2026-04-17",
  "lastTested": "2026-04-17",
  "sourceStudyUrl": "/trakkr-research/citation-sources",
  "sourceStudyTitle": "Where AI Gets Its Answers",
  "claimIds": [
    "citation-sources:reviews-share",
    "citation-sources:total-citations"
  ],
  "relatedSlugs": [
    "answer:how-often-do-docs-get-cited-by-ai",
    "answer:why-does-wikipedia-still-win-so-often",
    "fact:review-sites-are-small-in-share-but-high-in-intent",
    "tracker:source-category-share-tracker"
  ],
  "methodologySummary": "Built from the live citation index backing Trakkr Research, using 8,777,687 citations across 208,567 unique domains observed between October 3, 2025 and April 17, 2026.",
  "limitations": [
    "The live citation index is broader than the original December 2025 launch study, so percentages here should be read as the current benchmark.",
    "Domain share does not mean causal influence. It measures what models cited, not the full retrieval set.",
    "Category totals are domain-level rollups and may hide differences by model or query intent."
  ],
  "keywords": [
    "AI citations",
    "citation sources",
    "AI source preferences",
    "domain authority in AI",
    "review sites AI",
    "commercial AI citations"
  ],
  "schemaHints": {
    "pageType": "Article",
    "includeDataset": true
  },
  "question": "Do review sites still matter to AI models?",
  "directAnswer": "Yes, especially for commercial and comparative prompts. Reviews make up only 0.89% of the full citation index, but they are highly relevant on buying-intent queries where models need ranking, pros and cons, and category framing.",
  "answerSummary": "Raw share understates their practical value because review domains appear exactly where recommendation decisions happen.",
  "keyFacts": [
    {
      "label": "Review category share",
      "value": "0.89%",
      "detail": "Reviews are smaller in raw share but disproportionately commercial.",
      "claimId": "citation-sources:reviews-share"
    },
    {
      "label": "Citations analyzed",
      "value": "8.78M",
      "detail": "Current live citation index as of April 17, 2026.",
      "claimId": "citation-sources:total-citations"
    }
  ],
  "evidenceTable": [
    {
      "label": "Review category share",
      "value": "0.89%",
      "note": "Reviews are smaller in raw share but disproportionately commercial."
    },
    {
      "label": "Citations analyzed",
      "value": "8.78M",
      "note": "Current live citation index as of April 17, 2026."
    }
  ],
  "whyItMatters": "Operators must prioritize review platforms for commercial queries rather than dismissing them based on their low overall index share, ensuring resources are allocated to the surfaces driving buying recommendations.",
  "whatToDo": [
    "Audit the domains that already dominate your category and decide which ones are realistic citation targets.",
    "Build source-worthy pages for the query shapes where AI is already citing third parties.",
    "Treat reference, review, and social sources as part of your AI visibility surface, not as noise."
  ],
  "faqs": [
    {
      "question": "What percentage of AI citations come from review sites?",
      "answer": "Review sites account for 0.89% of the 8.78M citations analyzed as of April 17, 2026."
    },
    {
      "question": "Why should we focus on review sites if their citation share is so low?",
      "answer": "Review domains disproportionately surface on commercial and comparative prompts where buying decisions occur."
    }
  ]
}