Gemini powers shopping features

Gemini powers shopping features Google is pushing its artificial intelligence deeper into shopping. On April 7, 2026, the company announced three Gemini-powered shopping features for the Gemini app, Google Search AI Mode, and Circle to Search in India, all built on Google’s Shopping Graph, which it says contains more than 50 billion products and 2 billion listings refreshed every hour. (blog.google) At the center of the update is a simple problem: online shopping has too many choices and too little context. Google’s answer is to use Gemini, its family of artificial intelligence models, to turn product search from a list of links into a guided conversation that can compare options, explain tradeoffs, and narrow down what a shopper actually needs. (support.google.com) (blog.google) The data layer behind that experience is Google’s Shopping Graph. Google describes it as a live repository of product information gathered from brands, retailers, and other content providers through systems such as Merchant Center and Manufacturer Center, and says it is used across Search, ads, YouTube, and generative artificial intelligence features. (support.google.com) Google has been talking up the scale of that product index for months. In recent company posts, it has repeatedly said the Shopping Graph includes more than 50 billion product listings, with more than 2 billion of those refreshed every hour so prices, inventory, reviews, and availability stay current enough for shopping use cases. (blog.google 1) (blog.google 2) One of the new features lands inside the Gemini app itself. Google says Gemini can now act as a shopping assistant that helps users find products, compare options, and make purchase decisions using Shopping Graph data, though the feature comes with account requirements including a personal Google account, Google Pay setup, and activity settings turned on. (support.google.com) A second feature extends shopping into Google Search AI Mode. Google has been building AI Mode as a conversational version of Search, and in shopping it is meant to let people describe what they want in natural language, get curated recommendations, and refine results with follow-up questions instead of starting over with a new keyword search each time. (blog.google 1) (blog.google 2) The third feature brings shopping help to Circle to Search. That product already lets Android users circle, scribble, or tap something on screen to search it, and Google is now tying that behavior more directly into product discovery so a visual prompt can lead into shopping suggestions powered by Gemini and Shopping Graph data. (blog.google) This rollout also shows how Google is knitting together products that used to feel separate. Gemini is the model layer, AI Mode is the conversational search interface, Circle to Search is the visual entry point, and the Shopping Graph is the product database underneath them all. (blog.google 1) (blog.google 2) Google is not starting from zero here. In 2025, the company introduced shopping in AI Mode and expanded virtual try-on tools, framing the broader effort as a way to combine Gemini’s reasoning with a product index that includes reviews, prices, color options, and availability from both large retailers and smaller local sellers. (blog.google) The company has also been moving toward more personalized responses. In March 2026, Google said “Personal Intelligence” was expanding in the United States across AI Mode in Search, the Gemini app, and Gemini in Chrome, including shopping recommendations informed by connected Google apps and past activity, with user controls to turn those connections on or off. (blog.google) For shoppers, the promise is convenience. Instead of checking five retailer sites, opening ten tabs, and manually comparing specifications, an artificial intelligence assistant can summarize the field and point to likely matches, while the hourly updates in Google’s product index are meant to reduce the risk of stale prices or out-of-stock recommendations. (blog.google) (support.google.com) For Google, the strategy is larger than shopping. Product search is one of the most commercial parts of the web, and by placing Gemini at the moment when people decide what to buy, Google is trying to keep that decision-making inside its own interfaces rather than letting it drift to retailer apps, social platforms, or rival artificial intelligence assistants. This final point is an inference based on Google’s product direction and the way it is integrating Gemini across Search, shopping, and personalized assistance. (blog.google) (blog.google) The immediate announcement is limited in scope, with Google’s April 7 post specifically describing the new shopping features as updates for users in India. But the underlying pieces, including Gemini shopping help, AI Mode shopping, and the Shopping Graph itself, are part of a broader global effort that Google has been expanding market by market. (blog.google) (blog.google)