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Google Improves AI Shopping Experience With Gemini, Search and More Updates
Circle to Search can identify and explore multiple objects in an image Google announced a new set of AI-powered shopping features in India on Tuesday. The Mountain View-based tech giant is integrating its Gemini models with the extensive Shopping Graph, with the aim of simplifying product
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Google Gemini AI Shopping Features in India: How to Use Them Step-by-Step
Google offers multiple AI tools focused on convenience and speed. These systems are specifically designed to help users discover products, compare options, and make informed decisions. One of the most important features introduced by is AI-based product search. With this, users don't need to
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Google adds AI shopping features in India, lets users compare and buy faster
Circle to Search upgrade lets users identify and shop multiple items from images at once Google is now introducing its AI driven shopping capabilities in India via the latest Gemini models with the Shopping Graph to simplify how users discover and compare products online. The company says its
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Google has launched AI-powered shopping features in India, integrating Gemini models with its Shopping Graph containing over 50 billion products. The updates span the Gemini app, AI Mode in Search, and Circle to Search, enabling users to discover, compare, and purchase products through conversational queries and visual search capabilities.

Google has introduced a comprehensive suite of AI shopping features in India, marking a significant shift in how consumers discover and purchase products online
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. The Mountain View-based tech giant is integrating its Gemini models with the Shopping Graph, an AI-powered database that now includes over 50 billion products with nearly 2 billion listings updated every hour1
. This integration aims to simplify product discovery and streamline the entire shopping journey from browsing to checkout.The rollout addresses a critical need in the Indian market, where consumers typically invest considerable time comparing prices and evaluating options before making purchase decisions
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. Industry analysts note that these AI-powered shopping features reduce the effort required for research and help buyers complete the process faster2
.The Gemini app now allows users to move from discovery to purchase within a single conversation, eliminating the need for traditional keyword searches
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. Users can receive shoppable product listings, comparison tables, pricing information, and purchase links directly in chat1
. This AI-based product search capability lets users ask questions in natural language without browsing through multiple websites2
.The feature is currently available in both English and Hindi, making it accessible to a broader user base across India
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. Users can access up-to-date pricing, availability, and product reviews without switching between multiple apps or tabs, creating a more streamlined user experience1
.Google Search is receiving upgrades through AI Mode, enabling a more natural, conversational shopping experience
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. Users can now ask detailed queries and receive structured responses that include visuals, pricing details, product reviews, and inventory information3
. The system can compare different brands and models within seconds, displaying key differences between trending models2
.When users compare products, they see side-by-side comparison tables that eliminate the need to manually filter through results
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. Those seeking inspiration receive image-based results with direct shopping links1
. The upgraded AI Mode experience is currently available in English, with Hindi support expected to roll out soon1
.Related Stories
Circle to Search on supported devices, including the Google Pixel 10 and Samsung Galaxy S26 series, has received a major update
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. The feature can now identify and explore multiple objects within an image simultaneously, allowing users to circle or tap on different elements of an outfit—clothing, footwear, and accessories—to find similar products online1
.This visual search feature proves particularly useful for fashion discovery, where users can select an entire outfit and instantly find similar products for each component
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. If users notice a product on social media, they can circle it on the screen and the AI will help find similar items online2
. Google reports that shopping-related queries are among the most popular use cases for Circle to Search, making this update particularly relevant1
.These updates build on features like Google's Virtual Try-On tool, which launched in India last year to help users visualize how apparel would look on them
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. As the Shopping Graph continues to update billions of listings hourly, users can expect increasingly accurate and timely information to inform their purchase decisions3
.Summarized by
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