Love At First Search Is Back: Authority, AI Discoverability, and the Future of Search

After nearly three years of podcast silence, I’m reviving this feed — but not to pick up exactly where Social Slowdown left off. Search has changed. My work has changed with it. And the questions I’m most interested in now are less about ranking for keywords and more about how experts become easier to understand, trust, and recommend across Google, ChatGPT, Gemini, Perplexity, YouTube, and the rest of the public web. In this reintroduction episode, I explain why I decided to revive an old podcast feed instead of starting from scratch, what happened when dormant listeners immediately started downloading three-year-old episodes again, and how I’m thinking about the value of old content, existing audiences, and accumulated authority. I also lay out the experiment I’m running across the blog, YouTube, this podcast, and LinkedIn: taking the same core concepts, translating them into different formats, and tracking both how humans respond and how search and AI systems pick them up. Over the next several episodes, we’ll get into: recognition vs. recommendation the Unmistakable Authority Method entity clarity semantic territory authority architecture public evidence and reinforcement why you can’t build authority in private how omnichannel distribution can strengthen your signal positioning and narrative differentiation what to do when years of accumulated content start making you harder to understand, not easier If you’ve been here since Social Slowdown, thanks for sticking around. If you found me more recently, welcome. Love At First Search is now about expert authority, discoverability, and the future of search. Explore the AI Findability Library: loveatfirstsearch.com/ai-library