Google adds AI shopping features in India, lets users compare and buy faster
Follow UsGemini app now offers in-chat product discovery with listings, price comparisons and buying links
AI Mode in Search gets conversational shopping with visuals, reviews and side-by-side comparisons
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 dataset now includes over 50 billion product listings, with billions updated frequently to ensure real-time accuracy. The company built on the earlier like Virtual Try-On and is now rolling out the enhancements to Gemini, Search and Circle to Search. With this, the company aims to make shopping more conversational, visual and persoanlised for the Indian users.
SurveyAmong the key add-ons is the shopping within Gemini app, where the users can move from casual queries to actual product discovery without leaving the chat interface. Instead of just tex suggestions, Gemini now offers product listings, price comparisons and purchase links from across the web, helping users make quicker decisions.
Also read: OpenAI CEO Sam Altman tried to scam US govt for billions, here is how
The search giant is also upgrading AI Mode in Search to enable a more natural, conversational shopping experience. The users can now ask detailed queries and get structured responses which include images, price details, reviews and availability. The feature also generates comparison tables, allowing users to evaluate multiple products side by side without manually filtering through results.
Furthermore, the Circle to Search also gets a major update. This allows the users to identify multiple items within an image simultaneously. This is specifically useful for fashion discovery, where users can select an entire outfit and instantly find similar products for each component.
According to the company’s blog post, the updates are currently being rolled out in English and Hindi language.
