Here’s the irrefutable gold standard for measuring AI Visibility/GEO/whatever: ASK PEOPLE HOW THEY HEARD OF YOU. Marketers have spent the last 20 years becoming increasingly allergic to talking to real customers, probably because at many companies, if they did, they’d get an earful. So we’ve tried our hardest not to ever talk to real people.
Enterprise AI is local AI. What does enterprise AI need? Strong governance, complete data control and privacy, fixed and stable requirements, audit trails, and total transparency. What do most AI solutions deliver? Literally none of that. “Oh, time for a new model!” announcements every 3 months doesn’t fly in the enterprise, not when standards need
To get the most out of AI, use AI as little as possible. This very contradictory statement does make sense. Generative AI has a tendency to reinvent the wheel. Every time you ask it to complete a task and you don’t provide tools for it to do so, it tends to write them from scratch.
_Almost Timely News: 🗞️ A Better Mental Model of AI for GEO (2026-05-31) :: View in Browser_ The Big Plug 👉 This Friday, come check out a free Trust Insights webinar on competitive GEO. Full disclosure, it is also a gentle sales pitch for our GEO 201 course, also coming this Friday. Content Authenticity Statement…
The proof is in the patterns. How do we know someone’s using AI badly? The proof is in the patterns. Many AI tools use the smallest, fastest, and cheapest models possible – because when you’re doing tasks at scale, costs add up fast. So you provide a template for the LLM to use, give it
Tomorrow is the AI Writer’s Summit, by SmarterX. It’s free to attend if you don’t mind ads. I’ll share with you the two most important slides in my talk. 1: I use AI for fiction writing when there’s something I want to read, but it’s not something I want to put the effort into writing.
Use agentic AI for bronze development. In the world of data operations, there’s a concept called medallion architecture, pioneered by Databricks back in 2019. Bronze data is uncleaned, raw data. It’s the hot mess express, raw materials, crude oil, dirty water. This is what belongs in data lakes. Silver data is cleaned, processed data, semi-structured,
Imagine you’re at an auction. Maybe it’s in person, maybe it’s ebay, whatever. There are 10 people each with 10 dollars/Euros/pesos. There are 10 items for sale. What’s the maximum price an item will fetch? 10, assuming that no one cooperates/pools their money. Now, suppose the government announces mid-auction that the 10 dollar bill is
