How AI Transforms Product Discovery

There's a quiet revolution happening in the world of content and discovery, and we're barely talking about it. 🚨 SEO as we've known it is quickly becoming obsolete. AI tools like ChatGPT, Perplexity, Gemini, Grok, and Claude are reshaping how buyers research, especially in high-involvement e-commerce sectors like consumer tech. Andrej Karpathy recently highlighted this perfectly: "It’s 2025 and most content is still written for humans instead of LLMs. 99.9% of attention is about to be LLM attention, not human attention." Imagine a buyer exploring a high-value product—say a premium smartwatch or a flagship smartphone. Rather than sifting through dozens of links, they're now simply asking: "Which smartwatch is better for health tracking: Fitbit Sense or Apple Watch Ultra?" This isn't hypothetical; it's happening right now. AI assistants are increasingly trusted as expert advisors that simplify complex product comparisons. For brands, this changes everything: ✅ Traditional SEO and "ranking #1 on Google" is no longer enough. ✅ AI agents handle the discovery process, dramatically shortening the consumer journey. ✅ Businesses must now optimize their content not only for human eyes but also for AI interpretation. (As Erik Wikander put it beautifully) A few eye-opening shifts already happening: 📉 Review platforms like G2 and StackOverflow have lost significant traffic post-ChatGPT. (Elena Verna) 📉 Big players like HubSpot, Figma, and Canva are seeing declining organic traffic as AI directly answers user queries. (Oliver Molander) 📉StackAI now receives more inbound from ChatGPT & Perplexity than from Google (Antoni Rosinol) The implications for Ecommerce and consumer tech brands are massive: Your product content must become "AI-native," meaning it's structured clearly enough for AI tools to pull and recommend. Content needs precise differentiation and expert-level detail because the AI gatekeepers are getting smarter at recognizing genuine value vs. fluff. As Tomasz Tunguz has highlighted, expect the emergence of AIO (AI Optimization)—the next evolution of content strategy where you're optimizing not just for search engines but for a multitude of personalized AI assistants serving diverse ICPs. In short, the future belongs to those who understand how to capture the attention of AI agents first, and users second. Traditional SEO is fading. We're entering a world where personal AI agents will act as gatekeepers, curating hyper-relevant content tailored exactly to individual needs and preferences. This demands a radical reimagining of CX tech stacks, particularly around product discovery, comparison, and commerce journeys. At Swirl®, we're addressing precisely this challenge by building specialized AI Agents—transforming customer experience into dynamic, personalized, and AI-optimized experiences. If your brand is navigating this shift and looking for ways to stay ahead, let's talk. #artificialintelligence #Ecommerce #AIO #SEO

Just spotted something fascinating... 🔮 The next big product marketing role is already here, but no one's talking about it: AI Discovery & Product Training Lead. Curology just posted this position and it's wild. This goes way beyond basic prompt engineering. What this role actually does: → Structures product claims for compliance → Trains LLMs to recommend your products → Maps product pages to AI search queries → Shapes how AI tools surface your brand (ChatGPT, Perplexity, TikTok Shop AI) Here's why this matters: AI isn't just another marketing channel anymore. It's becoming THE way people discover products, especially in beauty, wellness, and CPG Soon, every major brand will need someone in this role. It's not optional, it's survival. If you're in growth, content, or product marketing, pay attention. The future of product discovery is being shaped right now. 🔮 My prediction? This will be a standard role within 1–2 years and will require experience with LLMs and AI systems. What do you think?

New Andreessen Horowitz thesis - AI x Online Shopping! Shopping used to be a hunt. With AI, it’s ‘God Mode’. AI is transforming online shopping into something intelligent, predictive, and visually intuitive. Instead of searching for products, the right picks come to you — curated, customized, and ready to buy. Here’s how Bryan Kim and I see it playing out 👇 1/ No more “will this look good on me?”: AI try-ons let you see fit, drape, and style on your own digital twin — making shopping visual and data-driven. 2/ From “nothing to wear” to AI-curated style: AI stylists recommend outfits based on your closet, calendar, weather, and taste. 3/ From imagination to inventory: You can now design and refine custom products in real time — AI makes personalization scalable. 4/ AI finds the best deals: Smarter search surfaces affordable alternatives and secondhand picks — matching your style and budget. 5/ Brands connect at scale: LLMs run support, from refunds to shipping — with higher satisfaction and zero wait time. This is just the beginning. What’s next is predictive, personalized shopping powered by fully integrated AI assistants. Outfits are becoming first-class primitives — dynamically styled from what you already own or imagined entirely by AI. For more of our thoughts, check out the full blog post below - and we'd love to hear from you if you're building something here! 👋 https://lnkd.in/gFWB3K9b https://lnkd.in/g99-Caz7