Google Merchant Center in 2026: AI Performance Insights & Key Updates

Introduction: The Biggest Shifts in Google Merchant Center

The key change in Google Merchant Center in 2026 is the introduction of AI Performance Insights and Conversational Attributes, tools designed to help merchants understand and optimize for how their products appear in AI-powered search experiences like Google AI Overviews and AI Mode. These updates, announced at Google Marketing Live 2026, represent a strategic pivot toward conversational commerce and require merchants to rethink their product data strategies.

What Are Google Merchant Center AI Performance Insights?

AI Performance Insights is a new report within Google Merchant Center that provides merchants with data on how their products perform in AI-driven search surfaces. The pilot, currently available to select US accounts, offers metrics such as share of voice in AI Overviews and query frequency for related conversational searches. According to reports, the report helps merchants identify gaps and opportunities in AI-generated shopping results, enabling data-driven optimization of product titles, descriptions, and attributes. Search Engine Land first covered the launch, noting that the insights are intended to close the loop between product data and AI visibility.

What Metrics Does the AI Performance Report Include?

The report includes share of voice, impression share, and click-through rate specifically for AI surfaces. SERoundtable provided early screenshots, revealing that merchants can see which queries trigger AI-generated product carousels and how often their products appear. This data is critical as Google continues to expand AI Mode in Search. SERoundtable detailed that the pilot is limited but signals a broader rollout later in the year.

Conversational Attributes: Optimizing for Natural Language Queries

Conversational Attributes allow merchants to tag products with natural language phrases that users might speak or type in a conversational context. For example, a running shoe could be tagged with attributes like "good for long runs" or "lightweight trail shoe." This feature is part of Google's push to treat product listings as more than static data points—they become entities that AI can understand contextually. The attribute set extends existing product data with semantic depth, improving match rates in AI Overviews and voice search. As Search Engine Land reported, early adopters have seen up to a 15% lift in AI-driven impressions.

How the Performance Max Overhaul Affects Merchant Center Users

In 2026, Google significantly overhauled Performance Max (PMax) campaigns, directly impacting merchants using Merchant Center feeds. The update introduced an expanded feed-only mode, improved asset group reporting, and granular control over branded search exclusions. For DTC brands, this means PMax is now more powerful but requires dedicated feed optimization. The changes force advertisers to rethink how they structure product groups and bid strategies within PMax. Online Store News highlighted that the feed-only mode allows merchants to run shopping ads without additional creative assets, simplifying campaign management.

What the PPC Pulse Report Says About Merchant Center Expansion

The SEJ PPC Pulse report, authored by Matt Southern, confirmed that Merchant Center is expanding its capabilities beyond traditional shopping feeds. The report noted Google's clarification on Smart Bidding behavior for Merchant Center campaigns, emphasizing that automated bidding now factors in conversation-style queries. Search Engine Journal quoted industry experts who advised merchants to review their feed data quality as Google uses more signals from the product feed to determine ad rank in AI-influenced auctions.

Preparing for Merchant Center Next and a Feedless Future

Google has been gradually migrating merchants to Merchant Center Next, a streamlined version that reduces manual feed management by auto-generating product data from merchant websites. The feedless future vision aims to eliminate the need for static product feeds, instead relying on real-time crawling and structured data markup. In a comprehensive guide, Search Engine Journal explained that merchants should prioritize schema.org markup, particularly Product, Offer, and Review schemas, to ensure Google can accurately extract data without a traditional feed.

How to Use Merchant Center Next for Competitive Analysis

Merchant Center Next also introduces competitive performance insights, allowing merchants to benchmark their product visibility against similar brands. Search Engine Journal outlined how to access these reports, which show which competitors appear most frequently for targeted queries and how their pricing and ratings compare. This feature turns Merchant Center into a competitive intelligence tool, not just a feed management console.

Merchant API Now Generally Available

To support the feedless transition and enable more flexible data integration, Google made the Merchant API generally available in 2025, with continued enhancements through 2026. The API allows developers to programmatically manage product data, promotions, and performance reports. Search Engine Journal noted that the API supports both the classic Merchant Center and Merchant Center Next, making it easier for enterprise merchants to automate feed operations.

Local Retail Data Expansion

Google also expanded Merchant Center's ability to ingest local retail data, helping brick-and-mortar stores connect their in-store inventory to Google Shopping ads. A guide from Search Engine Journal explained how to set up local product feeds for click-and-collect and in-store pickup, which has become more important as omnichannel shopping grows.

Why Your Product Feed Is an SEO Asset

Matt Southern also covered the broader SEO impact of product feeds, arguing that they should be owned by SEO teams, not just PPC teams. Search Engine Journal made the case that product feeds influence organic visibility in Google Shopping and surfaced in AI Overviews, making feed quality a shared responsibility.

Conclusion: What Merchants Should Do Now

The 2026 updates to Google Merchant Center reward merchants who treat product data as a dynamic, AI-optimized asset. To stay ahead, merchants should:

• Enroll in the AI Performance Insights pilot if eligible.
• Begin implementing Conversational Attributes on top-selling products.
• Audit product feeds for completeness and semantic richness.
• Investigate the feed-only PMax mode to simplify campaign management.
• Plan for the eventual migration to Merchant Center Next by fixing schema markup.

The shift is clear: Google is evolving Merchant Center from a basic product listing platform into an AI-powered commerce engine. Those who adapt early will capture the growing share of conversational search traffic.