Six identical brass keys in a row on a walnut desk, five in shadow and one lit by a warm lamp, illustrating how brand memory helps AI tell one Michel Fortin apart from five others.

How I Build Brand Memory So AI Recommends Me

Wikidata had five Michel Fortins before I added mine. An actor, a mathematician, a politician, an archeologist, a dentist. AI can’t recommend a name it can’t place. Here’s how I fixed that, and what it taught me about brand memory.

Read More
A senior executive at a tablet in a premium office, eyes fixed on the screen with subtle skepticism, catching the half-second of recognition someone shows when reading content that looks competent on the surface but feels hollow underneath. The image stages the article's opening argument that the reader can tell, within the first three paragraphs, whether a real person was on the other side of the page.

How EAT 2.0 Builds Authority That AI Cannot Flatten

Google’s EAT 1.0 was the four signals the algorithm could measure: Experience, Expertise, Authoritativeness, Trustworthiness. The problem in 2026 is that AI passes the surface test. EAT 2.0 stacks the human layer the framework was never asked to measure. Empathy, Authenticity, Transparency. These three are what authority now compounds on, and they are the move AI cannot imitate.

Read More