Google adds AI shopping visibility tools to Merchant Center
▼ Summary
– Google is adding new AI performance insights to Merchant Center, showing how products perform across AI-powered shopping surfaces like Search and Gemini.
– The reports include share of voice, shopping funnel performance, product term insights, and product attribute insights.
– Advertisers can identify incomplete structured product attributes (e.g., color, material) in their feeds.
– Merchant Center is evolving from a feed management tool into an AI commerce optimization platform.
– The insights will roll out to advertisers in the U.S., Canada, Australia, India, and New Zealand in the coming months.
Google is introducing new AI-powered performance insights inside Merchant Center, giving retailers the ability to track how their products appear across AI-driven shopping experiences. This move signals a shift in how brands can monitor visibility in an increasingly conversational search environment.
The updated reporting tools aim to show advertisers exactly how their products perform across Google’s AI-enhanced shopping surfaces. Among the metrics included are share of voice insights, which benchmark brand visibility against similar retailers; shopping funnel performance covering discovery, evaluation, and purchase stages; product term insights that surface popular conversational shopping queries; and product attribute insights highlighting missing product specifications.
Google notes that advertisers will also be able to identify which structured product attributes , such as color, material, or style , are incomplete across their product feeds. This level of detail allows brands to pinpoint gaps that could hinder visibility.
Why this matters. As AI-powered shopping reshapes how consumers discover products across Search and Gemini, visibility within conversational results is becoming more critical. These new Merchant Center insights give brands early access to performance data that can help improve product feed quality, optimize discoverability, and clarify how Google’s AI surfaces rank and recommend products.
The bigger picture. Merchant Center is steadily evolving from a simple product feed management tool into a full-fledged AI commerce optimization platform. As Search, Gemini, and AI Overviews grow more conversational, retailers may need to treat product feed optimization more like SEO content , focusing on completeness, context, and natural language discoverability.
What to watch. These insights could provide advertisers with an early look at how Google measures “share of voice” inside AI shopping environments , a metric likely to gain significance as AI-generated commerce experiences expand.
Availability. The AI performance insights will roll out to advertisers in the U. S., Canada, Australia, India, and New Zealand in the coming months.
(Source: Search Engine Land)
