Google is introducing new AI-driven performance insights in Merchant Center, giving retailers a more detailed understanding of how their products show up in AI-powered shopping experiences. These new reports are designed for advertisers who want clearer visibility into how their products appear across Google’s AI shopping surfaces. As more consumers rely on conversational search through Search, Gemini, and AI Overviews, product discovery is influenced by more than just traditional rankings or standard product listings. The reports will include share of voice metrics, shopping funnel performance, product term insights, and product attribute gap analysis. In practice, this lets retailers benchmark their visibility against comparable brands, track how products perform from initial discovery through purchase, and uncover the conversational queries shoppers actually use. Google will also highlight missing structured product attributes like color, material, and style. These details are critical for retailers because AI shopping systems depend on rich, structured product data to accurately match items to natural language searches.
Merchant Center moves further into AI commerce
This update signals a broader evolution of Merchant Center. What began as a tool for managing product feeds is evolving into a platform focused on AI commerce optimization. Retailers may increasingly need to treat product feeds like SEO content. Factors such as completeness, contextual detail, and natural language relevance will grow in importance as Google’s shopping experiences become more conversational. The share of voice metrics could be particularly valuable, potentially giving advertisers an early indication of how Google evaluates visibility in AI-generated shopping results, where product rankings may resemble personalized recommendations more than traditional listing positions. The new AI performance insights will launch in the U.S.,…