For the first time, retailers can see their share of voice against competitors directly inside Google Merchant Center, measured across the AI shopping surfaces where more purchase decisions are now starting. Google began rolling out AI Performance Insights on Thursday, May 28, adding a reporting layer that tells merchants not just how their products perform, but how that performance compares to similar retailers on AI-powered results.
This is a different product from the conversational attributes feature Search Shift covered on May 27. That rollout let merchants enrich product feeds with natural-language attributes so that Google’s AI could surface products in conversational queries. Thursday’s release is the reporting side: a dashboard that shows whether those enriched feeds are actually winning visibility, and where they are falling short.
The new report contains four distinct data views. Share of voice insights benchmark a brand’s AI-surface visibility against comparable retailers. Shopping funnel performance breaks down how products appear at the discovery, evaluation, and purchase stages. Product term insights surface the conversational queries consumers are using when browsing in AI-powered shopping. Product attribute insights flag which structured data fields, including color, material, and style, are missing from a merchant’s feed and likely suppressing appearances.
The competitive intelligence angle is the part that warrants close attention from ecommerce SEO teams. Google has provided ranking-adjacent data through Search Console for years, but that data is query-by-query and tied to the classic blue-link index. Share-of-voice measurement inside Merchant Center is a native competitive benchmark against a peer cohort, applied to AI surfaces. No third-party tool has been able to reliably reconstruct this data because the AI shopping surfaces do not expose consistent structured output for scraping. Google is now giving merchants a direct read on a competitive metric that previously required inference.
The timing matters. As AI Overviews and Gemini-powered shopping recommendations absorb a growing share of product discovery, the traditional metric of organic product ranking on a classic SERP understates where visibility is actually being won or lost. A merchant could rank well in standard Shopping results while being nearly absent from the conversational recommendation layer. This report is the first tool that surfaces that gap in native form.
Search Engine Land reported the rollout on May 28, citing Google’s announcement of the feature along with its limited geographic availability.
The practical implication for SEO and ecommerce teams is a shift in workflow. Diagnosing feed problems has historically meant correlating impression drops in Merchant Center with attribute audits run manually or through third-party feed tools. With the attribute insights view surfacing the specific missing fields correlated to AI-surface suppression, the diagnostic loop shortens. Teams can prioritize which feed gaps to fix based on competitive cost rather than internal assumptions about what Google values.
The rollout covers the US, Canada, Australia, India, and New Zealand. Google says the feature will become available in the coming months, which suggests a phased deployment rather than an immediate full rollout even within those five markets.
Ecommerce SEO teams in those markets should audit their current Merchant Center access and treat the share-of-voice data as a baseline to capture early, before competitors orient their feed strategy around the same signal.
Search Engine Land reported Google’s AI Performance Insights rollout on May 28, 2026, in an article by Anu Adegbola.
