Review Schema
Structured review data that helps AI systems interpret proof and sentiment.
Definition
Review Schema marks up individual reviews or aggregate ratings for eligible entities such as products, books, recipes, software apps, and local businesses.
Why It Matters
Ratings and review summaries influence trust, comparison, and agentic product shortlists.
How AI Uses It
AI may use review metadata to identify sentiment, rating distribution, review volume, and product-specific social proof.
Commerce Example
A luggage brand marks up aggregateRating and selected first-party product reviews on each suitcase PDP.
Copy/Paste Prompts
Replace the bracketed placeholders and run these prompts against your priority product lines, categories, or brand pages.
Check whether this review markup follows Google review snippet rules and is visible, specific, and non-self-serving.Summarize the review evidence an AI shopping agent would extract from this PDP, then list missing structured fields.Optimization Checklist
- Use an eligible reviewed item type.
- Show reviews visibly.
- Add ratingValue and bestRating.
- Include reviewCount or ratingCount.
- Keep reviews product-specific.
Common Data Gaps
| Gap | Why AI Struggles | Fix |
|---|---|---|
| Aggregate rating without count | Rating confidence is unclear. | Expose reviewCount. |
| Reviews not tied to exact SKU | Sentiment may attach to the wrong variant. | Map reviews to product IDs. |
| No review date | Freshness cannot be assessed. | Store and expose published dates. |
Downloadable-Style Artifacts
Copy this structure into a spreadsheet, Notion page, or internal ticket.
Review Schema operating worksheet
| Primary audit question | Use an eligible reviewed item type. |
|---|---|
| Highest-risk gap | Aggregate rating without count |
| First fix to ship | Expose reviewCount. |
| Success metric | Valid review snippets |
| Retest cadence | Monthly or after material catalog changes |
Title: Improve Review Schema readiness for [PRODUCT / CATEGORY]
Observed issue:
[WHAT THE AI ANSWER MISSED OR MISSTATED]
Most likely data gap:
Aggregate rating without count
Recommended fix:
Expose reviewCount.
Affected prompt:
[PASTE PROMPT]
Owner:
[TEAM OR PERSON]
Acceptance criteria:
- Use an eligible reviewed item type.
- Show reviews visibly.
- Track: Valid review snippets
- Prompt test has been re-run after publicationCommon Mistakes
- Self-serving Organization reviews.
- Marking third-party widgets as first-party facts.
- Using sitewide ratings on every product.
- Mixing materially different product reviews.
What To Measure
- Valid review snippets
- Review count by SKU
- Rating freshness
- AI sentiment accuracy
Strategic Takeaway
Review Schema helps AI distinguish real product proof from generic brand claims.