Pramendra Yadav

Ecommerce product data is becoming more important than ever. For years, brands have focused on optimising product feeds around product titles, descriptions, categories, prices, availability and standard attributes such as size, colour and material. But product discovery is changing. Consumers are increasingly using natural, conversational queries to find products. Instead of searching for something as simple as “gold necklace,” a shopper might ask: “What’s a lightweight gold necklace I can wear every day?” Or: “Show me a skincare product for dry skin that works well under makeup.” These searches require more than a keyword match. They require an understanding of product attributes, context, use cases and shopper intent . This is where Google’s Conversational Attributes become particularly relevant for ecommerce brands. What Are Google’s Conversational Attributes? Google’s Conversational Attributes are part of the broader evolution of product data as shopping experiences become more con...

The AI commerce conversation is changing faster than most eCommerce teams realise. Anthropic recently released open source commerce agent blueprints that allow businesses to build shopping and merchant agents using Claude. The important part isn't simply that Anthropic launched another AI commerce product. The bigger story is this: The AI agent itself is becoming a commodity. And when that happens, the competitive advantage moves somewhere else. For Shopify merchants, that "somewhere else" is increasingly the quality of their product data, commerce infrastructure, integrations, content and ability to be understood by AI systems. That changes how brands should think about AI commerce. The Agent Is No Longer the Moat A year ago, having an AI shopping assistant could have been a differentiator. Today, the technology required to build one is becoming increasingly accessible. Open source frameworks, APIs and pre built commerce tools are reducing the technical barrier to launch...

  A practical framework for helping your brand become discoverable, understandable and recommendable in Perplexity AI. Search is changing. For years, brands competed for ten blue links on a Google search results page. Today, consumers can ask AI platforms complex questions and receive a direct answer in seconds. Instead of searching: Best lab-grown diamond jewellery brands A consumer might ask: What are the best lab-grown diamond jewellery brands for an engagement ring under $2,000? Instead of manually visiting ten different websites, they may receive a curated answer with brand recommendations, product information and source citations. This changes the role of search visibility. The question is no longer simply: “Where does my website rank?” The more important questions are becoming: Does Perplexity understand my brand? Does it understand what products we sell? Does it consider us a relevant option? Does it trust our information? Will it cite our website? Will it recommend our bra...

  A five step framework for getting your brand into the "best of" articles that ChatGPT, Perplexity, Gemini, and Google AI Overviews pull from when someone asks for a recommendation. Ask an AI assistant to recommend a brand and watch what it does. It rarely invents an opinion from nothing. It reaches for the pages that already contain a considered, comparative answer, and more often than not, those pages are listicles. "Best luxury jewellery brands in India." "Top sustainable clothing labels." "Best Shopify agencies for premium brands." These roundups have become the raw material of AI recommendations. If your brand appears in the ones AI models trust, you show up in the answer. If it doesn't, you are invisible at exactly the moment a customer is asking to be told what to buy. This is a very different game from ranking a page on your own website. You are not optimizing something you control. You are working to be mentioned somewhere els...