Google's new Merchant Center report tracks your brand in AI Mode

Google announced on May 27, 2026 that it is introducing AI performance insights in Merchant Center, a new reporting feature designed to show retailers how their products appear across AI Mode in Search, AI Overviews, and the Gemini app - covering share of voice, shopping funnel metrics, product term data, and product attribute completeness.

What is being announced

According to Google's announcement published in the Merchant Center Help Center on May 27, 2026, the new feature is called AI performance insights. It presents retailers with a consolidated view of their brand's visibility across Google's AI-driven surfaces, specifically AI Mode in Google Search, AI Overviews, and the Gemini app. The rollout is planned for five markets: the United States, Canada, Australia, India, and New Zealand, to be completed "in the coming months," according to the announcement. No precise date was given for when individual markets will receive access.

The announcement does not describe a new advertising product. It describes a reporting layer - a way for merchants to observe and measure how their products are performing in AI shopping journeys that are already taking place, rather than a mechanism for bidding into those journeys directly.

Four components of the report

According to Google, the report has four distinct components.

The first is share of voice. This metric shows a merchant's brand visibility on AI-driven experiences across both Google Search and the Gemini app, benchmarked against similar brands. The baseline for comparison is other merchants on shopping journeys starting from AI Mode, AI Overviews, or the Gemini app - not the entire merchant population.

The second component is shopping funnel performance. This breaks visibility data into three stages: discovery, evaluation, and purchase. According to the illustrative screenshot included in Google's announcement - which Google explicitly notes uses simulated results and fictional entities - the discovery stage shows a share of voice of 18.1% in the example scenario. The evaluation stage shows 33.7%. Purchase shows 9.3%. Those figures are not real merchant data; they are mock numbers used to demonstrate how the interface would look.

The three funnel stages carry specific query-type breakdowns. At discovery, the report distinguishes among broad product search by category, search by product features, and search by style. At evaluation, it separates search for product specifications, search for user reviews, and compare products. At purchase, it separates ready-to-buy, pricing, and local availability signals. The granularity of these distinctions reflects how AI Mode queries, which tend to be substantially longer and more specific than traditional searches, map onto different stages of a purchase decision.

The third component is product term insights. According to Google, this module identifies popular product terms searched by users across Search conversations and shows a merchant's share of voice for those terms. This is directionally similar to search term reports in paid search, but applied to conversational AI surfaces where query structures differ significantly from keyword-based input.

The fourth component is product attributes insights. According to Google, this identifies popular product specifications that users search for - including color, style, and material - and connects that signal to an attribute completeness score. The score indicates which of a merchant's products are missing the structured product attributes that those specifications require. The implication is clear: if users frequently ask about material in AI Mode, and a merchant's feed lacks material data for relevant products, those products may not surface in the resulting AI responses.

Why this matters for retailers

The arrival of this reporting layer marks a measurable shift in what Google considers a standard information need for merchants. For most of the past decade, Merchant Center reporting centred on ad impressions, clicks, and conversion metrics tied to specific campaign structures. The new AI performance insights report operates outside that campaign frame - it covers organic AI surface performance, not just paid placement.

That distinction carries weight. AI Mode has surpassed one billion monthly active users globally, with queries more than doubling every quarter since the surface's launch in May 2025. Queries in AI Mode are on average three times longer than traditional searches, and one in six queries are non-text, using voice or images. For retailers who have long optimised product feeds primarily to serve Shopping ads, the scale of AI Mode means that the same feed data now determines visibility in a much larger and structurally different traffic source - without any obvious way to observe that visibility until now.

Google's Shopping Graph contains more than 60 billion product listings, with over 2 billion receiving updates every hour. Both organic and sponsored AI Mode surfaces draw from that graph. A product with incomplete attribute data does not disappear from the graph - it simply competes at a disadvantage when AI-generated responses are assembled in response to conversational queries about specific features.

The product attribute completeness score component of the new report speaks directly to this problem. PPC Land has documented the expanding set of Merchant Center attributes that Google has tied to AI surfaces throughout 2025 and 2026. In January 2026, Google announced dozens of new data attributes in Merchant Center specifically designed for conversational commerce interfaces, including AI Mode, Gemini, and Business Agent. In April 2026, Google extended AI Max to standard Shopping campaigns, where the system generates ad copy directly from feed attributes including material and fit - creating a second downstream consequence for sparse product data.

A shopping funnel report framed around AI surfaces also differs structurally from traditional attribution models. Traditional conversion tracking collapses the shopping journey into a relatively flat sequence: impression, click, conversion. The new report separates that journey into discovery, evaluation, and purchase, each with its own share of voice measurement. A merchant with strong discovery-stage visibility but weak purchase-stage visibility is signalling something specific about where their products drop out of AI-generated shopping conversations - information that was not previously available in a structured form.

The competitive benchmarking dimension

One feature of the report that has no direct equivalent in existing Merchant Center analytics is the competitive benchmarking dimension within share of voice. According to Google's announcement, the share of voice metric is "benchmarked against brands similar to yours on shopping journeys starting from AI Mode, AI Overviews, or the Gemini app." The illustrative screenshot in the announcement shows a merchant's share of voice at 14.5% and a competitor average at 11.2% - again, fictional figures, but illustrative of the format.

This type of benchmarking has existed in paid search tools - auction insights in Google Ads shows impression share relative to competing advertisers - but its application to AI surface performance is new. It changes the question a merchant needs to answer from "are my products appearing?" to "how often do my products appear relative to competing brands in AI conversations?"

That framing has implications for how retailers will need to interpret their Merchant Center data. Share of voice in AI Mode is determined not by bid strategy, as in a paid auction, but by the quality and completeness of product data relative to competing merchants' data. Two brands selling identical product categories will receive different AI surface visibility based on which has more complete structured attributes.

Context: the building of AI commerce infrastructure

The AI performance insights report arrives at a moment when Google has been constructing the commercial infrastructure of AI Mode in rapid sequence. Google formally announced shopping ads for AI Mode on February 11, 2026, when the surface already had more than 75 million daily active users. Sponsored stores and quick web results were observed inside AI Mode in April 2026, extending paid placement options into a surface that had previously been primarily organic from the merchant's perspective.

Google Marketing Live 2026, staged on May 20, 2026 - one week before the AI performance insights announcement - introduced Conversational Discovery ads and Highlighted Answers as new AI Mode ad formats, both in testing in the United States. It also introduced AI-powered Shopping ads for standard Search, and revealed that the Shopping Graph now holds over 60 billion listings. PPC Land's complete recap of Google Marketing Live 2026 documented how the event positioned feed quality as the primary input for AI surface performance.

The sequencing is deliberate. Google is first building the surfaces - AI Mode, AI Overviews, Gemini shopping - then building the advertising formats that run on those surfaces, then providing measurement tools to help merchants understand their position on those surfaces. The AI performance insights report represents the third step in that sequence.

What makes the May 27 announcement notable is that the measurement tools are appearing on the organic side before the paid side has been fully documented. Merchants will soon be able to see their AI Mode organic share of voice before Google has publicly explained how AI Mode sponsored placements are purchased or optimised.

Market scope and timing

The five-market rollout - United States, Canada, Australia, India, and New Zealand - covers markets where AI Mode has been most actively deployed. The United States was the first market for AI Mode at launch in May 2025, and Google expanded AI Mode to over 40 countries and territories in October 2025. The five markets named for AI performance insights represent a subset that plausibly reflects where AI-driven shopping journeys have accumulated enough data to make share of voice benchmarking meaningful.

The phrase "in the coming months" for rollout timing does not commit to a specific date. Based on the pattern of other Merchant Center feature rollouts in 2025 and 2026 - Merchant Center for Agencies launched in the US and Canada in March 2026 and went global in May 2026 - a two-to-four-month window between announcement and broad availability would be consistent with recent precedent, though Google has not confirmed that timeline.

Technical requirements and feed implications

The product attributes insights component of the report - specifically the attribute completeness score - places implicit pressure on merchants to audit and expand their product data. Identifying which products are missing structured attributes that users frequently search for is the first step; actually supplying those attributes through Merchant Center feeds is the second.

That practical sequence is complicated by the pace of change in Merchant Center's attribute requirements. Google announced dozens of new Merchant Center attributes designed for conversational commerce in January 2026. A feed management guide published in May 2026 identified eight specific attributes that Google has tied explicitly to AI-driven surfaces. Product data quality has moved from a campaign-level variable to a surface-level one across AI Mode, AI Overviews, Gemini, and now - through the AI performance insights report - back into Merchant Center as a structured measurement problem.

For retailers managing large product catalogs across multiple categories, the attribute completeness score may surface gaps that are not obvious from standard feed diagnostics. A product that passes all basic Merchant Center validation requirements can still have low attribute completeness relative to what AI Mode users are asking about. The gap between "feed valid" and "feed optimised for conversational AI" is the dimension the new report is designed to make visible.

Timeline

• July 2024 - Google integrates Merchant Center feeds with the AI image editor in Google Ads, allowing product images to flow directly into campaign assets. (PPC Land)
• October 2024 - Google announces an AI-powered overhaul of its Shopping platform, powered by Gemini models and a Shopping Graph then containing over 45 billion product listings. (PPC Land)
• May 1, 2025 - Google opens AI Mode to all US users, marking the surface's first broad public availability. (PPC Land)
• October 2025 - Google expands AI Mode to over 40 countries and territories. (PPC Land)
• November 13, 2025 - Google deploys agentic checkout, Duplex-powered store-calling, and conversational shopping across Search and the Gemini app for the US holiday shopping period. (PPC Land)
• January 11, 2026 - Google announces dozens of new Merchant Center data attributes designed for conversational commerce across AI Mode, Gemini, and Business Agent. (PPC Land)
• February 11, 2026 - Google formally announces shopping ads for AI Mode, as the surface crosses 75 million daily active users. (PPC Land)
• March 11, 2026 - Google makes Merchant Center for Agencies generally available in the US and Canada. (PPC Land)
• April 6, 2026 - Sponsored stores and quick web results are observed inside Google AI Mode product panels. (PPC Land)
• April 30, 2026 - Google extends AI Max to standard Shopping campaigns, generating ad copy from Merchant Center feed attributes including material and fit. (PPC Land)
• May 6, 2026 - Google quietly adds AI product import to Merchant Center in beta. (PPC Land)
• May 17, 2026 - Google announces the global rollout of Merchant Center for Agencies, extending access beyond the US and Canada. (PPC Land)
• May 19, 2026 - Google publishes its AI Mode US Insights report; AI Mode surpasses one billion monthly active users globally. (PPC Land)
• May 20, 2026 - Google Marketing Live 2026 introduces Conversational Discovery ads, Highlighted Answers, and the Universal Cart, with the Shopping Graph at over 60 billion listings. (PPC Land)
• May 24, 2026 - A feed management guide identifies eight Merchant Center attributes explicitly tied to AI Mode and AI Overviews. (PPC Land)
• May 27, 2026 - Google announces AI performance insights for Merchant Center, covering share of voice, shopping funnel performance, product term insights, and product attribute completeness across AI Mode, AI Overviews, and the Gemini app.

Summary

Who: Google, through its Merchant Center product team, made this announcement. The feature is directed at retailers and brands that have product data in Google Merchant Center.

What: Google is introducing a new reporting section called AI performance insights in Merchant Center. It includes four components - share of voice benchmarked against similar brands, shopping funnel performance across discovery, evaluation, and purchase stages, product term insights showing popular search terms and associated share of voice, and a product attributes insights module featuring an attribute completeness score.

When: Google published the announcement on May 27, 2026. The rollout to merchants is scheduled for the coming months, with no specific dates confirmed for individual markets.

Where: The feature will initially be available in five markets: the United States, Canada, Australia, India, and New Zealand. It will appear inside Google Merchant Center.

Why: As conversational AI surfaces - particularly AI Mode, AI Overviews, and the Gemini app - account for a growing share of shopping journeys, retailers have lacked visibility into how their products perform on those surfaces outside of paid ad metrics. The new report fills that gap by providing organic AI surface performance data, competitive benchmarking, and structured feed quality diagnostics tied directly to what users are searching for in AI-driven shopping experiences.