Whalesbook
AI Revolutionizes E-commerce Discovery
The way consumers discover and purchase products online is undergoing a radical transformation, moving away from traditional keyword searches towards sophisticated AI-powered chatbots. Platforms like ChatGPT, Perplexity, Claude, and Google Gemini are now acting as personal shopping assistants, guiding users on what to buy, where to buy it, and at what price, often without them needing to open a marketplace application.
This shift presents a significant challenge for established e-commerce players such as Amazon, Flipkart, and Meesho. They are now compelled to re-evaluate how their products are presented, not just to human shoppers, but critically, to the AI chatbots that are increasingly influencing buying decisions. The stakes are high, as AI answers typically list only a few top options. "If you're not in the answer, you don't exist for that user," explains Sohom Banerjee, senior research associate at CUTS International. This contrasts sharply with traditional search engines, where lower-ranked results still receive traffic. AI, however, dramatically narrows visibility.
Strategic Adaptations by E-commerce Leaders
Industry analysis suggests the impact of AI on e-commerce will be substantial. Bain & Company estimates that by 2030, AI shopping agents could influence between 15% and 25% of all e-commerce sales globally. Already, ChatGPT accounts for approximately 20% of referral clicks to major retailers like Walmart and Etsy. Furthermore, about 2% of all ChatGPT queries, equating to nearly 50 million daily searches, are related to shopping. User engagement is also on the rise, with click-through rates on ChatGPT shopping-related answers climbing significantly and total clicks roughly tripling between March and June 2025, according to Bain.
Indian online retailers are keenly aware of these implications, especially given India's status as one of OpenAI's largest user bases. Flipkart, backed by Walmart, has strategically acquired a majority stake in AI startup Minivet. This move aims to bolster its capabilities in "visual, conversational, and AI-led discovery" to align with evolving consumer shopping behaviors. Amazon has also commenced piloting generative engine optimisation (GEO) for specific product categories, such as fashion, following its recent sale events. The company also operates its own AI shopping assistant, Rufus.
Other major Indian platforms are actively refining their strategies. Meesho has been standardizing seller-generated product listings and enhancing attribute-level data, including localized descriptions, to improve recall by AI models. Myntra, owned by Flipkart, is expected to enhance its fashion-specific metadata, such as details on fabric, fit, and occasion, to better support conversational and visual search functionalities. Reliance Retail's Ajio has similarly been optimizing its catalogue, category, and brand signals to boost visibility across AI-driven search and recommendation systems.
Broader Ecosystem and Legal Challenges
The AI-driven e-commerce trend extends beyond traditional marketplaces. Quick-commerce platform Zepto has developed an internal AI tool enabling LLM-powered order placement using natural language. Globally, partnerships are forming, with ChatGPT collaborating with Etsy and Walmart, and Perplexity AI teaming up with Shopify and PayPal. Startups like Siftly, Asva AI, and Consumable AI are offering specialised GEO and LLM optimisation services to brands.
However, this rapid evolution has also triggered legal disputes. Amazon recently requested Perplexity to block its agent from making purchases on Amazon. More significantly, IndiaMART, a prominent B2B marketplace, has filed a case against OpenAI in the Calcutta High Court, alleging deliberate exclusion of its listings from ChatGPT search results. The case highlights concerns that large AI services act as "intent-driven gateways" wielding significant economic power, potentially impacting businesses like IndiaMART catastrophically.
Impact on Sellers and Advertising
The AI shift poses risks for merchants, smaller marketers, and advertising agencies. Vendors risk being overshadowed by AI-generated content or bots, not necessarily due to product quality but due to the amplified visibility of competing listings across the internet. Traditional advertising metrics like "viewability" are being questioned, as AI can simulate engagement without actual human attention, potentially leading to wasted ad spend. CUTS International estimates that up to 20% of digital ad budgets in India could be lost to ad fraud.
AI's ability to directly answer queries like "best smartphone under ₹20,000" compresses the traditional sales funnel into a single response. This directly impacts ad revenue flows by making internal search pages less relevant. Consequently, advertising spend is expected to shift. Brands are already experimenting with allocating 2-5% of their marketing budgets to AI optimisation. As AI discovery proves effective, spend may move away from less efficient channels towards conversational commerce, potentially capturing high single digits to around 10% of digital ad spend within a few years, largely at the expense of traditional search and low-quality programmatic display advertising.
This concentration of attention through AI-led discovery benefits large marketplaces like Amazon and Flipkart. By streamlining the path from recommendation to purchase and controlling catalogue data, logistics, and checkout, these platforms can monetize intent more directly. They can place promoted products within AI-driven search results, significantly strengthening their advertising businesses. OpenAI is also reportedly considering "sponsored content" within its platform. Amazon India's advertising revenue saw a 25% rise in FY25, while Flipkart's advertising revenue increased by 27% year-on-year.
Impact rating: 8/10
Difficult Terms Explained
- LLM (Large Language Model): An advanced type of artificial intelligence trained on vast amounts of text data that can understand, generate, and respond to human language. Examples include ChatGPT and Google Gemini.
- Chatbots: Computer programs designed to simulate conversation with human users, especially over the internet.
- Shopping Agents: AI programs or features that actively assist users in finding, comparing, and purchasing products online.
- Generative Engine Optimisation (GEO): A process of optimizing product listings and content so that they are favored and prominently displayed by generative AI models and chatbots.
- Conversational Commerce: Shopping experiences that involve natural language conversations between a customer and a business, often facilitated by AI or chatbots.
- Metadata: Data that provides information about other data. In e-commerce, this includes product details like fabric, fit, occasion, color, etc., which helps AI understand and categorize products.
- Viewability: In digital advertising, a metric indicating whether an ad was displayed in a position where it could potentially be seen by a user. It doesn't guarantee actual human attention.
- Ad Fraud: Deceptive practices in digital advertising aimed at generating fraudulent impressions or clicks to earn illegitimate revenue.