With the latest update, the Gemini app in India now works more like a personal shopping companion inside a chat window. Users can start with a casual query, then move straight into curated product listings, price comparisons and buy links, without leaving the conversation. Google says these experiences are powered by its Shopping Graph, a vast commerce index of more than 50 billion product listings that are refreshed frequently to keep prices, availability and reviews up to date.

In Google Search, AI Mode for shopping in India has been upgraded to handle natural language questions instead of just keywords and filters. Shoppers now receive structured answers that pull together shoppable images, price information, reviews and stock status in one place. For people comparing gadgets or fashion items, AI Mode can generate side-by-side comparison tables, highlighting key differences and surfacing insights drawn from customer reviews. Google is rolling out these Google AI shopping features India in both English and Hindi, aiming to reach a wider base of users across the country.

Circle to Search, already popular for fashion look-ups, now supports multi-object search so users can identify several items in a single image at once. Someone scrolling through social media can tap, scribble or circle an entire outfit, and Google will break it down into individual pieces and suggest similar products for each. In supported markets and devices, these visual journeys can even link into virtual try-on tools, letting shoppers see how selected clothing might look before they buy.

By tying Gemini, AI Mode in Search and Circle to Search into a single, data-rich Shopping Graph, Google AI shopping features India are designed to make buying decisions quicker and more confident for consumers who are overwhelmed by choice. If the rollout proves reliable at scale, these tools could nudge a growing share of India's e-commerce journeys into more conversational and visual territory, from first idea to final checkout.