How to Use Google Gemini's New AI Shopping Features in India: Check Step-by-Step Guide

Why It Matters

The features tighten Google’s grip on the fast‑growing Indian e‑commerce market, giving merchants a new channel and consumers a frictionless buying experience. By embedding AI into search and mobile interfaces, Google positions itself as a one‑stop shopping assistant, challenging traditional retail platforms.

Key Takeaways

• Gemini app adds in‑chat product listings and price comparisons
• AI Mode in Search offers side‑by‑side comparison tables
• Circle to Search on Pixel 10 and Galaxy S26 identifies multiple items
• English and Hindi support enables broader Indian user adoption

Pulse Analysis

Google’s latest AI shopping suite marks a strategic push into India’s booming e‑commerce ecosystem. By weaving generative AI into the Gemini app, the company transforms a conversational chatbot into a virtual storefront, complete with real‑time price data and a Shopping Graph that promises up‑to‑date inventory. This move aligns with Google’s broader ambition to become the default discovery layer for online retail, competing directly with platforms like Amazon and Flipkart that already dominate the market.

The integration spans three distinct experiences. In the Gemini app, users can type natural language prompts—such as “build a holiday gift list”—and receive curated product lists, comparison tables, and direct purchase links without leaving the chat. AI Mode in Search elevates traditional search by delivering rich visual results and side‑by‑side comparisons, initially in English with Hindi rolling out soon. Meanwhile, Circle to Search on flagship Pixel 10 and Samsung Galaxy S26 devices lets shoppers circle items on any screen, prompting the AI to identify each component and surface similar products instantly. Multilingual support broadens accessibility across India’s diverse consumer base.

For retailers, these tools open a new acquisition channel that taps into Google’s massive user base and search intent. Real‑time price aggregation and review summarization can drive higher conversion rates, while the Shopping Graph ensures data freshness, a critical factor for price‑sensitive shoppers. However, success hinges on seamless integration with merchant feeds and transparent data handling to maintain consumer trust. As AI continues to blur the line between search and shopping, Google’s rollout in India could set a template for global markets, reshaping how consumers discover and purchase products online.