Why Merchant Center matters for AI Mode
Merchant Center supplies product data for shopping experiences. Supporting web links in AI Mode follow Google Search requirements: an indexed page eligible to appear with a snippet.
Google AI Mode combines answers with links and shopping information. Google Search Central says a supporting page must be indexed and eligible to appear in Search with a snippet. Those Search fundamentals are the full technical requirement for those links.
For product information, Merchant Center feeds and Product structured data help Google understand what you sell. A supporting web link qualifies on Search eligibility alone. Shopping listings have their own data and policy requirements.
When diagnostics reveal mismatched product information, Paz traces it to the source through the product feeds service.
Step 1: Check free listings
Free listings are turned on by default in most cases. Check your account status and product eligibility directly.
Google says free listings are turned on by default in most cases. An administrator can view or change the status on the Free listings page in Merchant Center.
- Check the Free listings status in your account.
- Review product issues, shipping settings and return policies.
- Correct the applicable data and policy issues, then check the destination response.
Permission and eligibility make a product available for display, and appearance depends on the question. Paid Shopping campaigns and organic supporting web links have separate requirements.
Step 2: Required product attributes
Use the product data specification for your product type and target country. Some attributes are required for all products, while identifiers and category fields have conditional rules.
Core product data
Check id, title, description, link, image_link, availability and price against the current product data specification. Use accurate product descriptions and images that meet the applicable format and size requirements.
Conditional and category attributes
Requirements for condition, brand, identifiers, variant attributes and shipping depend on the product, destination and target country. Check which of color, size, age group and gender your category requires.
Use assigned identifiers
Submit a correct manufacturer-assigned GTIN when available. Where the GTIN is unassigned, provide brand and MPN when applicable. Set identifier_exists to false only for products that genuinely lack assigned unique product identifiers under Google's identifier rules.
Step 3: Schema.org Product markup
Product markup helps Google understand the page and can support merchant listing eligibility. Keep it consistent with visible product information and Merchant Center data.
Add Schema.org Product structured data to every product detail page. Google can use this markup for merchant listing experiences. Validate it against the merchant listing documentation.
Product and Offer properties to check
namedescriptionimageoffers.priceoffers.priceCurrencyoffers.availability
Recommended additions
brandgtin/mpn/skuaggregateRating(withratingValueandreviewCount)review(sample reviews where available)categorycolor,size,materialwhen applicable
The consistency rule
Mismatches between the page and Merchant Center data, such as price or availability, can cause product issues or disapprovals. The two sources should pull from the same source of truth in your catalog. Audit periodically - drift happens when product detail pages and feeds are managed by different teams.
Step 4: Feed freshness and UCP support
Keep price and availability current through the update methods your account supports. UCP checkout is a separate integration, not a condition for supporting web links.
Keep product data current
Use supported Merchant API updates, a platform connection or scheduled data-source updates to reflect price and availability changes. Choose the update method for your catalog and account, then check for mismatches after updates.
UCP checkout is separate
Google's UCP documentation describes checkout integration and merchant onboarding. Availability and integration requirements need separate assessment, and agentic checkout has its own onboarding on top of a clean feed.
Paz handles product-data and feed corrections within agreed scope, checks destination responses and follows up on remaining issues. Checkout integration is separate from this feed work.
Frequently asked questions
Does Google AI Mode read my website directly?+
Why are my products not appearing in Google AI Mode?+
What is the difference between Google AI Mode and Shopping ads?+
How important is GTIN for AI Mode visibility?+
How does UCP relate to Google Merchant Center?+
Related
- Agentic Commerce: The 2026 Guide for Retailers : the full pillar overview
- ChatGPT Shopping Integration : sell on ChatGPT
- Google AI Mode Integration : sell on Google AI Mode
- AI Readiness Check : measure your starting point
- Agentic Commerce Glossary : protocol definitions and terminology
Put your product information to work
Paz checks your sources. Our experts prioritize the corrections and follow their results.
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