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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.
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Each variant needs to be associated correctly with the parent product while retaining the information that distinguishes it.
The same applies to products with different storage capacities, dimensions, pack sizes, finishes, or configurations.
Google's product data guidance specifically calls for variant information such as color and size and uses item group IDs to connect products that belong to the same product group.
Your feed, product page, structured data, and inventory system should agree about those variations.
Does Your Product Feed Match What Shoppers See on the Website?
This is one of the easiest problems to overlook.
Suppose your feed says:
Price: $79.99
Availability: In stock
But the product page says:
Price: $89.99
Availability: Out of stock
The data is sending conflicting signals.
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