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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.
One might be:
- Mesh
- Adjustable
- Designed for long work sessions
- With lumbar support
- Rated for a particular weight capacity
The other might be:
- Leather
- Fixed-back
- Executive style
- Designed primarily for appearance
If your catalog only identifies both as "office chairs," you are leaving important product information out.
Google Merchant Center uses structured attributes for details such as price, availability, condition, color, size, brand, identifiers, and other product characteristics. Required and recommended attributes vary by product and target market.
Review your feed attribute by attribute and ask:
What information would a shopper use to decide between products like this?
Those details deserve attention in the product data.
Are Your Product Variants Being Described Clearly?
Variants can create unnecessary confusion when product data is inconsistent.
Imagine a clothing store selling the same shirt in:
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