Recent research reveals that ChatGPT relies heavily on Google for its search functions, particularly for e-commerce. Experiments show that ChatGPT uses SerpApi and creates specific queries for Google Shopping to build its product recommendations. The findings suggest that brands aiming for inclusion in ChatGPT's product carousels should prioritize optimizing their Google Shopping listings. The article emphasizes that products ranking well on Google Shopping are more likely to appear in ChatGPT's responses. The authors conducted an experiment by logging into ChatGPT and requesting product suggestions based on specific criteria, such as budget Android phones. They tracked the background queries generated by ChatGPT to uncover both general search queries and specific shopping queries. The data revealed that 75% of the top products recommended by ChatGPT matched Google Shopping results. This overlap highlights the importance of accurate and current product information, as ChatGPT benefits from Google Shopping’s extensive database of products, prices, and reviews. The article also points out how e-commerce brands must maintain updated shopping feeds to remain competitive. With the rise of in-chat purchasing and developments like Google’s Universal Commerce Protocol (UCP), the future of online shopping may involve transactions directly through chat interfaces. The authors conclude that while their study is based on a limited sample, it offers valuable insights into optimizing for AI-driven shopping experiences.