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AI shopping and India are in the spotlight as Google announces three Gemini-powered shopping features that fuse Gemini AI with Google Shopping Graph to speed discovery, comparison, and buying. The updates span the Gemini app, Google Search’s AI Mode, and Circle to Search, building on last year’s Virtual Try-On tool. The promise is simple: faster discovery, brighter visuals, and direct purchases with live prices. The trio of features reflects Google’s practical approach to turning online shopping into a conversation, a gallery, and a shopping list—all in one place.

AI shopping: the new features for India

In the Gemini app, shopping feels social. You can ask for a style or a gym shoe, and Gemini surfaces shoppable product listings, live prices, and direct buy links right in the chat. No more hopping between tabs or copying links; you can compare options inside the chat and open retailer pages with a single tap. The in-app surface makes discovery fast and playful, and it is available in English and Hindi.

India and AI shopping: the curb-to-curb update

Shop in Google Search AI Mode, where conversation replaces filters. When you pose a shopping question, you get a well-structured, visual package with prices, stock status, reviews, and a side-by-side comparison. Google calls this the biggest upgrade to AI Mode shopping in India, because you can refine your query like talking to a knowledgeable friend. The experience blends visuals with practical details, giving context and clarity in one place instead of scattered links.

India and AI shopping: Circle to Search goes multi-item

Circle to Search now supports multiple items in one image on Pixel 10 and Galaxy S26. You circle, scribble, or tap across several items—shirts, shoes, shorts—and the results unfold item by item in a mini catalog. This update makes multi-item searches smoother on compatible devices and is especially useful for quick outfit planning.

Practical tips for using these features

  • Start in the Gemini app with a clear query. The chat surfaces product listings, price comparisons, and buy links without leaving the interface.
  • In Google Search AI Mode, ask a direct question and review the visual results. Refine with follow-up questions to narrow down choices.
  • On Pixel 10 or Galaxy S26 series, use Circle to Search to identify multiple items in one image. Name your preferences to surface targeted options.

Language support is broad enough to help both English and India speakers navigate the shopping journey. The integration pulls from Google’s Shopping Graph, which includes more than 50 billion products and updates 2 billion listings hourly. The scale matters because it means you get breadth and freshness in a single, friendly interface. The goal is to reduce friction between discovery and purchase, letting the technology do the heavy lifting while you decide what to buy.

What shoppers gain in 2026

Shoppers gain speed, clarity, and a touch of whimsy. The three features converge to create a cohesive experience: in-app shopping, AI-assisted search, and image-based multi-item queries. The experience feels natural, almost like chatting with a trusted shopping buddy who knows the shelves well. Price transparency improves with live price data, and direct buy links cut down the number of steps to complete a purchase. Pixel 10 and Galaxy S26 users get to try the Circle to Search enhancement first, which helps when assembling looks from multiple items in one go.

For shoppers in India, these tools could shorten the path from search to cart, especially during festival sales and seasonal launches.

As always, the caveats matter. In India, price variations can occur across retailers, so cross-checking results remains essential. Google emphasizes that these tools augment human choice, not replace it. The goal is more context, faster results, and a practical path from search to cart.

If you have personal experiences with these new tools, share your thoughts in the comments so others can learn from your journeys. A note of appreciation to the source material that inspired this overview and analysis of AI shopping features in India.

Original source: Thank you to Google for the original article on AI shopping in India.

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