Earlier this week, I posted a LinkedIn recap of three articles I’d written, each one circling the same conclusion from a different angle. Search Was the Detour argued that search engines were never the destination — just one way of connecting people to information, and AI is simply another interface doing the same job. One […]
The Question Before “Should We Build One at All” Read More »
The previous article in this series asked a smaller, more embarrassing question than “should we invest in a knowledge graph.” It asked whether the right people were even in the same room, and whether that room could sit with an unanswered question long enough to be useful — instead of grabbing the nearest concrete task
GEO Step 0 – Find What is Actually Broken Read More »
How to author a canonical record that renders your site, your feeds, and your machine layer from one governed source, and why the page is now an output rather than the original The first two articles in this series built the case for this one. “The Friction Is the Code, Not the Feeling” argued that
One Home Many Windows Read More »
How the agentic web is forcing the data-first discipline the web has dodged for thirty years, and why the shelf is open for whoever inverts the build order first The web’s original idea was to model meaning so machines could understand it. We turned that into a ranking trick and spent twenty years retrofitting structure
Search Was the Detour Read More »
Why the agentic web reads for your facts and your emotion, and skips your pageantry AI agents skip the pageantry and read for the facts, and platforms, publishers, and toolmakers are racing to rebuild the web to feed them. But what’s being stripped away isn’t the emotion; it’s the rendering tax. A field guide to
The Friction Is the Code, Not the Feeling Read More »
Emotifacts are the unit of content where feeling and fact are inseparable, why the agentic web makes it essential, and how a copywriter and a taxonomist finally have to build it together We coined the word emotifact in passing, and it has been carrying more weight than a passing definition can hold. This is its
The shift to AI-driven discovery has introduced a subtle but significant change in how vendors are evaluated. Buyers are no longer building shortlists by navigating websites or comparing pages. Increasingly, they are asking AI systems to interpret the market and recommend options. These systems do not operate like traditional search engines. They do not rank
Why AI Visibility Fails Read More »
You can sum up my most fundamental belief I have learned in decades of strategy, economics, and digital transformation experience with one sentence: If you reduce the friction in vendor identification and purchase — from discovery, evaluation, and trust, through to decision and commitment — companies can unlock exponential revenue growth. The big challenge is
Reduce Friction to Increase Revenue: The Hidden Economics of Digital Advantage Read More »
How effort, trust, and cognitive load determine modern market share TL;DR Consumers don’t make decisions the way marketers think they do.They optimize for effort, clarity, trust, and risk, not just product specs.In an era where information is abundant, switching is effortless, and AI systems reduce cognitive burdens, Consumer Economics—not marketing tactics—is now the real driver
Lever 1: Consumer Economics — The Demand Engine Read More »
How Stigler, Porter, Ohmae, and the Marine Corps shaped this digital-era strategy model TL;DR George Stigler explained why information shapes markets.Michael Porter explained how competitive forces shape industries.Kenichi Ohmae explained how organizations align around customer value. But today’s economy is shaped by information abundance, digital ecosystems, and AI-driven mediation — forces none of them lived
From Stigler to Porter to AI: Why We Need a New Strategy Model for the Digital Age Read More »
