How to implement product schema for e-commerce brands
Add Product and Offer JSON-LD so AI models can accurately recommend your products with correct pricing and availability.
- 1
Map your product catalogue
List every product or service that has its own page. For each, note the product name, description, price, currency, availability, brand, images, and any ratings or review counts.
- 2
Build Product JSON-LD for each page
Create a JSON-LD block with @type Product. Include name, description, image, brand (as an Organization entity), and sku or gtin if applicable. Add an offers property with @type Offer containing price, priceCurrency, and availability.
- 3
Add AggregateRating if you have reviews
If your products have customer reviews, add an aggregateRating property with @type AggregateRating, ratingValue, reviewCount, and bestRating. This helps AI models recommend your products with confidence.
- 4
Include review snippets
Add a review array with your most helpful reviews as @type Review entities. Include author name, reviewRating, and reviewBody. AI models reference these when comparing products.
- 5
Validate and test across models
Run every product page through Google Rich Results Test. Then ask each AI model "What are the best [product category] products?" and "How much does [your product] cost?" to check accuracy.
- 6
Automate schema for new products
Build schema generation into your product page template or CMS so every new product automatically gets correct JSON-LD. In Shopify, use a theme snippet. In Next.js, create a reusable ProductSchema component.
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