In AI Shopping, Your Google Merchant Center Feed Matters More Than Your Product Page

It has been revealed that AI search engines and chatbots rely directly on Google Merchant Center product data feeds rather than website detail pages when recommending products. Research conducted in March 2026 proves that the vast majority of products displayed by platforms like ChatGPT in shopping widgets are pulled directly from Google Shopping results and merchant feeds.

How Product Feeds Determine Rankings

Analyses show that when providing product recommendations, ChatGPT uses a specialized querying method known as "shopping query fan-outs." According to research data, these queries are typically fueled by the first few results pages of Google Shopping, and the ranking of products within the carousel directly correlates with Google Shopping rankings.

For instance, an examination of over 1 million ChatGPT shopping suggestions conducted by Profound in June revealed that 99.9% of product offers pulled directly by AI from merchant feeds were top-ranking offers. Furthermore, the fact that feed-sourced data retrieval rates surged from 4.3% to nearly 20% in just a six-week period clearly demonstrates how critical having complete and structured data has become in AI integration.

A New Era in Digital Marketing: The Shift from Product Detail Pages to Data Feeds

In traditional search engine optimization (SEO), the focus was generally on product detail pages (PDPs), keyword placement, and user reviews. However, this strategy is undergoing a transformation within the AI-driven shopping ecosystem. Instead of classically crawling the web, AI engines prefer accessing structured and instantly processable data. This forces e-commerce brands and digital marketers to redirect their optimization budgets and efforts away from product detail pages and toward the accuracy and currency of their Google Merchant Center data flows.

*This news report has been prepared based on data published by Search Engine Land.