Google has rolled out its largest upgrade yet to AI Mode in Search, transforming the way users discover and shop for products online. The new system shifts away from traditional keyword-based filters and instead allows people to express their needs in natural, conversational language. Rather than typing a long list of specifications, users can simply describe what they want, the way they would to a friend and Google’s AI generates curated, visually rich shopping results that match the intent of the request.
This update represents a significant evolution of Google’s search experience, making it more intuitive, image-driven, and personalized. For example, users can ask for very specific scenarios, such as “gift ideas for a teenager who loves dance but under $50,” and the AI instantly produces tailored recommendations with product images, reviews, and pricing. The system also supports multimodal inputs, meaning shoppers can combine text, images, and even screenshots to refine their search.
Underpinning this upgrade is Google’s Shopping Graph, a database containing more than 50 billion product listings. This allows the AI to surface real-time information on prices, availability, ratings, delivery estimates, and in-stock alerts for both online and local stores. For in-person shopping, the AI can automatically check nearby inventory and notify users when certain products become available.
A major enhancement in this rollout is Google’s introduction of more “agentic” features, tools that not only find products, but also help manage the entire purchasing process. The AI can set up price tracking, manage wish lists, send reminders through email or SMS, and even organize options based on budget or urgency. By integrating with the Gemini app, users receive a more consistent, personalized, and proactive shopping experience across devices.
Google’s revamped AI shopping experience arrives just ahead of the holiday season, positioning the company to meet rising demand for smarter, faster, and more convenient online shopping tools. With this upgrade, Google aims to reduce the frustration of traditional online searches and redefine e-commerce by making product discovery far more conversational, efficient, and aligned with individual preferences.