Amazon and Meesho Chase LLM Shopping Edge
The rapid rise of artificial intelligence is reshaping how people shop online, and major platforms are adapting quickly. Retail giants are adjusting their strategies to remain visible and relevant as AI tools guide buyers to products. This shift is pushing traditional search and discovery methods aside.
AI’s Impact on E-commerce Discovery
For decades, e-commerce relied on keyword search, rankings, and paid placements to help users find products. Now, AI chatbots and assistants such as ChatGPT, Claude, and Google Gemini are guiding consumers on what to buy, where to buy, and at what price, often without opening any marketplace app.
Consequently, platforms from Amazon to Meesho must revise how their offerings appear not only to shoppers but to these AI systems. Optimization for AI visibility is becoming indispensable if sellers want to capture attention and sales in an era where AI responses can determine choice before a traditional search result appears. Bain & Company projects that AI shopping agents could influence a significant share of online sales in the coming years.
Strategic Race Between Amazon and Meesho
Amazon is enhancing product listings and AI-driven features to maintain prominence in AI-guided recommendations, and other players are following suit to improve visibility across conversational interfaces. Meesho is investing in chat and voice-based AI assistants tailored for first-time and regional shoppers, aiming to make discovery and purchase easier for users beyond major urban centers.
These adaptations reflect broader shifts as companies confront AI’s potential to redefine purchasing paths. Even as AI tools take on more of the decision-making role, e-commerce platforms must integrate LLM-oriented strategies across search, listings, and interaction design to stay competitive in a landscape where conversational agents increasingly steer buying behavior.
