SD008 – Review Data Validation
Overview
Validates Product review and aggregateRating data when present. Reviews are optional; if absent, assessment passes with "No review data found - reviews are optional".
Probability that AI systems use this signal: Crawlers and generative AI pipelines consume structured and visible page signals for training and inference. Assessment-specific signals (e.g. schema, canonicals, trust cues) affect how likely a page is indexed and surfaced. The probability that this assessment's signal influences AI behavior is high when the page is in a product or compliance context.
Impact on geo compliance: Passing this assessment supports geo compliance by ensuring machine-readable and visible content meet standards that reduce the risk of wrong locale, pricing, or trust in AI-generated answers. Failing can lead to non-compliant or misleading surfacing.
What We Check
- SD001 passed. Product schema from JSON-LD.
- **aggregateRating:** ratingValue required, 1.0–5.0 (float); reviewCount required, non-negative integer.
- **review (array or single):** each review must have reviewRating (with ratingValue 1.0–5.0), author (with name, non-empty), reviewBody (non-empty). ratingValue validated per review.
- Missing aggregateRating and no reviews → passed, 100 score.
Pass / Fail and Score
- **PASSED** if score >= 60.
- **Score:** 100 minus 30 for aggregate rating issues, 50 per review with issues.
How to Fix When It Fails
- Fix aggregate rating: ratingValue 1.0–5.0, reviewCount >= 0.
- Fix review structure: reviewRating.ratingValue, author.name, reviewBody present and valid.
Common Issues
- aggregateRating missing ratingValue or reviewCount; value out of range.
- Review missing reviewRating, author, or reviewBody; invalid rating value.
Dependencies
SD001.
How to Verify
- Use schema.org validator for Product with review/aggregateRating.
Additional Resources
- schema.org Review, aggregateRating: https://schema.org/Product#review