Generate Review Schema from Auto Repair Customer Feedback
✓ TestedWorks with CSV, Excel, Google Sheets → JSON-LD Schema
By dataclean.to team · 2026-02-05
Auto repair shops need Review schema to display customer testimonials and ratings in search results. This tool converts customer feedback into structured Review markup, helping shops showcase positive experiences and improve click-through rates through star ratings appearing in search results.
The Problem
Automotive service providers collect valuable customer reviews across Google, Facebook, Yelp, and their own websites without unified representation. Individual reviews need proper Review schema to contribute to aggregate ratings and appear as rich results. Without structured review markup, positive feedback remains invisible in search results, reducing trust signals that influence customer choice. Schema.org Review specification
How to Fix It
1
Aggregate Customer Reviews
Collect reviews from Google Business Profile, Facebook, Yelp, website testimonials, and direct feedback. Compile reviewer names, ratings, dates, and review text.
2
Map to Review Properties
Align review data to schema properties including reviewRating, author (Person), datePublished, reviewBody, and itemReviewed (your AutoRepair business).
3
Calculate Aggregate Ratings
Compile overall ratings using AggregateRating schema with ratingValue, bestRating, worstRating, ratingCount, and reviewCount from all review sources.
4
Structure Service-Specific Reviews
Create Review entities for specific services when customers review particular work (brake repair, engine diagnostics). Link reviews to relevant Service entities.
5
Generate and Validate Markup
Create Review JSON-LD for featured testimonials and AggregateRating for business overview. Validate with Google Rich Results testing for star rating eligibility.
Frequently Asked Questions
Should shops markup reviews from Google and Yelp?
You can reference external reviews but should primarily markup reviews published on your own website. Don't copy reviews from other platforms without permission and proper attribution.
How many reviews should be marked up?
Feature 5-15 representative reviews with structured markup. Focus on detailed reviews that provide specific information about services. Include AggregateRating based on complete review set.
Can shops respond to reviews in schema?
Review schema doesn't include response properties. Respond to reviews on the platforms where they were posted. Markup reflects original customer feedback, not subsequent interactions.
Example: Input → Output
name
email
phone
city
status
Alice Johnson
alice@example.com
+1-555-0101
New York
active
alice johnson
ALICE@EXAMPLE.COM
5550101
new york
Active
Red rows show common data quality issues. dataclean.to normalizes and generates JSON-LD automatically.