Product Schema Checklist for AI Commerce
Product schema and clean product data help systems understand what you sell. They are not the whole story, but missing product data can make recommendation and comparison harder.
Core product data to check
Start with the facts a buyer would expect to see and an AI system would need to understand.
- Product name and clear description.
- Price and currency.
- Availability or stock status.
- Product images.
- Brand.
- SKU, MPN or GTIN where relevant.
Useful ecommerce attributes
Attributes help match products to specific questions. Depending on the category, include size, fit, material, colour, compatibility, capacity, ingredients, use case or care information.
Shipping and returns context
Product data is stronger when the buying decision has supporting context. Delivery, returns and warranty information should be clear enough to reduce hesitation.
Common gaps
Stores often have schema but still miss useful buyer context. A page can contain product markup and still fail to explain who the product is best for or why someone should choose it.