Can You Serve Marketing Directors Stochastic Noise and Wilson Confidence Intervals?
When I started working with marketing teams trying to measure their brand visibility in generative AI search, I kept seeing the same pattern: panic on Monday, relief on Wednesday, then panic again the following week. The numbers were bouncing around like lottery tickets, and nobody could tell whether they were actually winning or just seeing random noise from the AI models themselves. That's when I realized the industry was missing something crucial—a way to separate real market shifts from statistical coincidence. In this article, I walk through why simple prompt trackers fail marketing direc
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The Entity Accuracy Engine (EAE): Why we built it
I built the Entity Accuracy Engine because I was watching AI models confidently destroy opportunities for the organisations I work with—wrong founding years, outdated leadership, invented mandates that cost NGOs donors, universities students, and B2B companies deals. The EAE continuously monitors what GPT, Claude, Gemini and Perplexity actually say about your organisation, catches the hallucinations and staleness that websites alone can't fix, and feeds corrections back through the channels these models actually trust. You can run a free check right now to see where the major LLMs currently co
AI Search Optimization Tools:A Strategist’s Honest Comparison (2026)
I built an AI agent from 25 years of sprint coaching and SEO work—same strategic thinking I use with clients, now available on-demand. This comparison cuts through the noise in 'AI search optimization tools,' a category that's already three different things pretending to be one. Most vendors are selling classical SEO with an LLM bolted on. I wanted strategists to see which tools actually measure citation in generative engines versus which ones are just rebranded Google ranking software, and what to do about it on Monday.
The Context Wars: Why Your Business – Not the AI Model – Determines Who Wins on your battlefild
I wrote this because I noticed most businesses are preparing for the wrong AI war. They're optimizing for AI to mention them in summaries – which is passive and expensive. What's actually happening is more structural: AI agents are rewarding businesses that structure their content as machine-queryable facts, not marketing pages. I've mapped out the three layers where this plays out, the economics that drive it, and why treating Layer 3 as just 'SEO with schema markup' is costing businesses millions in missed citations and wasted compute.
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