Stories
AI Agents Are Ready to Shop, But Indian Ecommerce Lacks Infrastructure
- •AI-led shopping is transforming consumer journeys from manual app browsing to automated multi-platform research and decision-making by AI agents.
- •Indian marketplaces are wary of AI agents bypassing traditional search pages where brands pay heavily for sponsored listings and banner ads.
- •India holds an advantage with robust payment infrastructure like UPI and collaborations involving Razorpay, NPCI, OpenAI, and Claude.
- •An FTA Global study revealed that Indian ecommerce sites have an average Agent Readiness Score of 43 out of 100, struggling with clear data and structured pricing.
- •Retail media and advertising are shifting from buying keyword positions to influencing machine recommendations and optimizing for Generative Engine Optimization.
Key Questions Answered
Marketplaces are wary because AI agents bypass the traditional search page where brands pay for sponsored listings and where consumers discover products. Since agents compare items across multiple platforms before recommending a choice, their rise could threaten the value of search pages, ad revenues, impressions, and valuable behavioural data.
A September 2026 study by FTA Global tested 50 Indian ecommerce sites across 10 categories and found an average Agent Readiness Score of just 43 out of 100. While real AI agents successfully completed about 80% of tasks, they faced major hurdles on sites where required answers were unclear, product prices and details were missing from server-side HTML or schemas, or JavaScript failed to load properly.
Industry experts expect retail media to shift from buying keyword placements and sponsored shelf slots to competing for consideration inside AI-mediated recommendations. Because AI agents optimize for user outcomes rather than the highest bidder and do not scroll or click banner ads, brands will need to focus on commerce APIs, paid catalogue access, and becoming machine-legible.
