Google Merchant Center · Status at source date: Newsletter archive
Conversational Attributes in Merchant Centre: the new product data layer for AI surfaces
Conversational Attributes are a new set of Merchant Centre product data fields designed specifically for discovery in AI Mode and conversational commerce surfaces. The new attributes include Question & Answer, Additional Variants, Popularity Rank, Related Products, Document Link, and Item Group.
What changed
The attributes complement existing product feed data, allowing AI surfaces to answer detailed shopper questions, recommend complementary products, and surface variants.
The structural significance: as AI Mode and Gemini surface answers to nuanced shopping questions, the breadth of product data behind each listing directly determines how often the product appears in AI-generated responses. Many retailers will already have this data prepared for other platforms: the new attributes let them activate it inside Google with minimal incremental work.
Why it matters for advertisers
For you, this means retailers and brands should audit existing product data assets against the new Conversational Attributes specification, then prioritise the gaps that will drive AI visibility lift. Particularly relevant for considered-purchase categories where shopper research questions are detailed and varied. Availability: GA, Global, English.
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Conversational Attributes in Merchant Centre: the new product data layer for AI surfaces
Conversational Attributes are a new set of Merchant Centre product data fields designed specifically for discovery in AI Mode and conversational commerce surfaces. The new attributes include Question & Answer, Additional Variants, Popularity Rank, Related Products, Document Link, and Item Group. The attributes complement existing product feed data, allowing AI surfaces to answer detailed shopper questions, recommend complementary products, and surface variants.
The structural significance: as AI Mode and Gemini surface answers to nuanced shopping questions, the breadth of product data behind each listing directly determines how often the product appears in AI-generated responses. Many retailers will already have this data prepared for other platforms: the new attributes let them activate it inside Google with minimal incremental work.
For you, this means retailers and brands should audit existing product data assets against the new Conversational Attributes specification, then prioritise the gaps that will drive AI visibility lift. Particularly relevant for considered-purchase categories where shopper research questions are detailed and varied.
Availability: GA, Global, English.
Source captured . No explicit first-contributor label was provided for this update.
