Do review sites still matter to AI models? | Trakkr Research
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
Methodology: 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.
Direct Answer
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.
What this means
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.
Evidence table
| Metric | Value | Why it matters |
|---|---|---|
| Review category share | 0.89% | Reviews are smaller in raw share but disproportionately commercial. |
| Citations analyzed | 8.78M | Current live citation index as of April 17, 2026. |
Frequently Asked Questions
What percentage of AI citations come from review sites?
Review sites account for 0.89% of the 8.78M citations analyzed as of April 17, 2026.
Why should we focus on review sites if their citation share is so low?
Review domains disproportionately surface on commercial and comparative prompts where buying decisions occur.
What to do next
Related pages
Continue through the same study cluster.
- how often do docs get cited by ai - Related answer page
- why does wikipedia still win so often - Related answer page
- review sites are small in share but high in intent - Related fact page
- source category share tracker - Related tracker page
Data & Sources
- Where AI Gets Its Answers - Flagship study behind this page
- Page JSON - Machine-readable companion file