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How to Prepare Ecommerce Product Data for AI Shopping
Learn how to prepare ecommerce product data for AI-powered shopping with better titles, attributes, descriptions, structured data, feeds, variants, and images.
Google warns that inaccurate or conflicting product information can lead to display problems, limited eligibility, or disapprovals.
Your product feed should therefore not be treated as a separate SEO document. It should reflect the information customers actually see.
Create processes that keep important product information synchronized across:
- Ecommerce platform
- Product feed
- Product pages
- Structured data
- Inventory system
- Pricing system
- Shipping information
For large catalogs, automation can help, but the underlying data still needs to be accurate.
Is Your Structured Data Consistent With Your Product Information?
Structured data gives search engines another way to interpret product information on your website.
For ecommerce product pages, relevant structured data can communicate information such as:
- Product name
- Description
- Image
- SKU
- GTIN
- Brand
- Price
- Currency
- Availability
- Condition
Google recommends keeping structured data synchronized with changes to the information shown to users.
This matters when products change frequently.
If a product goes out of stock, the structured data should not continue saying it is available. If the price changes, the structured data should reflect the current price.
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