Summary In today's episode, I explain Will Reynolds’ warning that high AI visibility does not guarantee credibility or recommendation, using vacation rentals and synthetic visibility reports as examples. Here's what this means for you. You need to examine context, sentiment, and recommendations instead of treating brand mentions as proof of success. You'll also learn these…
3 receipts from MAICON Day 1: “The risk is not that AI does the work. The risk is that AI does the work and we never learn from it.” – Paul Roetzer quoting Tobi Lutke “In the Google Era, visible = recommended. In the AI Era, visible != recommended.” – Wil Reynolds “America now spends…
What’s going on with AEO/GEO/AI Visibility/etc.? This week, Ashley Zeckman invited me to come share my POV at the annual Spotlight Summit, and in a blisteringly fast 25 minutes, I walked folks through the three stages of GEO, how agentic is changing search, and the two platforms that provide REAL AI visibility measurements AND are…
I am now more convinced than ever that AI visibility softare is bullshit. Inspired by Lily Ray, I grabbed all my very long query data out of Google Search Console via the API and started looking at it to see what kinds of AI chats were getting passed along as queries in GSC. First, a…
Summary In today's episode, I examine what becomes the new premium differentiator for brands when AI drives the cost of content creation to near zero. Here's what this means for you. Shifting your marketing budget from endless content production toward scarce, meaningful experiences unlocks genuine value because your audience's attention and time stay finite no…
Claude Haiku is the single biggest weakness in the Anthropic ecosystem now. Haiku is intended as a low cost, fast, and cheap model to do basic work – reading, summarization, web search, etc. And at the time of its release almost a year ago, it did those things reasonably well. But times change. Models change.…
When times are good, people buy ideas. When times are bad, people buy action. When times are good, people buy strategy. When times are bad, people buy tactics. When times are good, people buy brand. When times are bad, people buy price. When times are good, people buy growth. When times are bad, people buy…
Tell AI what wins. One of the things that will degrade AI performance the most – and silently – is conflicting instructions where the AI has to determine what you mean. If you look at the reasoning traces (internal chat) when you give conflicting instructions, you’ll see AI models literally chasing their tails. It looks…
Summary In today's episode, I walk through a three-layer framework for training large language models to capture a specific brand voice instead of sounding like generic corporate copy. Here's what this means for you. You gain a repeatable system that combines good and bad examples, prompts aligned to how models think, and quantitative QA loops…
