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Google AI Mode shopping: optimising product feeds for agents

Google AI Mode and Google’s AI shopping features use the Shopping Graph, which draws heavily on product data from Google Merchant Center, product pages and reviews. To appear, keep a complete, accurate Merchant Center feed with detailed titles, descriptions, attributes, identifiers, prices, availability, shipping and returns; add matching structured data on product pages; gather genuine reviews; and use local inventory if you have stores. Google also backs the Universal Commerce Protocol for agent checkout.

How does Google AI Mode handle shopping?

AI Mode is Google’s conversational search experience. For shopping questions, it combines AI reasoning with the Shopping Graph, Google’s large database of products, prices, merchants and reviews, much of which comes from Merchant Center feeds. It can show product cards, compare options and, in some markets and programmes, support agentic checkout. Google also backs the Universal Commerce Protocol. Our guide to ranking in AI Overviews and AI Mode covers the wider search side.

Which feed attributes matter most?

Attribute	Why it matters
Title	Matches searches and agent requests; include key attributes
Description	Explains use cases and features agents quote
GTIN, brand, MPN	Links products to the Shopping Graph accurately
Product type and category	Places products in the right context
Size, colour, material, gender, age group	Matches detailed requests
Price and sale price	Must match the landing page
Availability	Prevents recommending out-of-stock items
Shipping and returns	Shown to shoppers and used to compare options

Field requirements are in Google Merchant Center Help. Use supplemental feeds or rules to add attributes your platform does not export.

How do you optimise your feed?

Fix errors and warnings: Start with disapprovals and price or availability mismatches.
Improve titles: Add brand, product type and the attribute people search for.
Fill attributes: Especially identifiers, size, colour, material and condition.
Configure shipping and returns: Set costs, times and return windows.
Add local inventory: If you have stores, share in-store stock.
Refresh often: Update prices and stock at least daily.

How should product pages support the feed?

Google checks that feed data matches landing pages. Add Product and Offer structured data with the same prices and availability, keep key details in readable text and make pages fast on mobile. Our guide to product page optimisation for humans and AI agents covers page content and schema.

Do reviews and ratings matter?

Yes. Product ratings and seller ratings appear in shopping results and help AI explain why an option suits someone. Collect genuine reviews after purchase and, where eligible, share them with Google through product reviews feeds or approved review partners. Respond to negative reviews professionally.

How do you measure results?

Merchant Center performance reports for clicks and impressions
Feed health: approved products and issues over time
Search Console for organic shopping and product rich results
Sales from Google channels in your analytics or platform
Monthly checks of priority product questions in AI Mode

Can AI help optimise the feed?

Yes. AI tools can rewrite titles to a consistent pattern, draft descriptions that cover use cases, extract attributes such as material or fit from existing text and flag missing or inconsistent data. Merchant Center itself includes some AI-assisted features for product content. Treat AI suggestions as drafts: check them against the real product, because incorrect attributes lead to disapprovals, returns and lost trust. Start with your top-selling products, review a sample of changes before applying them in bulk, and keep a log of rules and edits so the feed stays consistent as new products are added.

What mistakes should you avoid?

Prices or stock that differ between feed and page
Keyword-stuffed titles that read badly
Missing GTINs or brand fields
Ignoring Merchant Center warnings until products are disapproved
Forgetting shipping and returns settings

What does this look like in practice?

An outdoor retailer with stores in Dubai and Abu Dhabi finds its products rarely appear in AI Mode for questions such as “waterproof hiking boots with wide fit”. Its feed uses short titles and lacks width, waterproofing and material attributes. The team adds those attributes through a supplemental feed, rewrites titles to include brand, type and key features, configures shipping and returns, enables local inventory for both stores and launches a review programme. Within weeks, more products are approved, impressions rise and some boots appear in AI Mode answers with an “in stock nearby” label.

How UIUX Studio helps

Think of your Merchant Center feed as a storefront in its own right. The more complete and accurate it is, the more often Google’s AI can match your products to what shoppers ask for.

We help retailers structure product data, improve feeds and pages, and connect systems for AI shopping. Talk to our product engineering team. For Google Shopping and Performance Max campaigns, Social Mafia by UIUX Studio runs paid search.

Frequently asked questions

Does Google AI Mode use Merchant Center?

Google’s AI shopping features draw on the Shopping Graph, which uses Merchant Center feeds among other sources.

Which feed fields matter most?

Titles, identifiers, detailed attributes, price, availability, shipping and returns.

Do I need structured data on pages?

Yes, matching the feed, to help Google verify information.

Does local inventory help?

For stores, yes; it lets Google show in-stock nearby options.

How often should I update my feed?

At least daily for prices and stock.

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