Thought AI
What Is LLM Discoverability?
Visibility is whether an LLM can find you. Discoverability is whether it will recommend you when a user is ready to act. Most businesses are optimizing for the wrong one.
Read the articleHow AI systems decide what to trust and recommend.
I write about machine reasoning, context, and decision-making - the mechanics behind what AI systems surface, cite, and act on.
Clear mental models for understanding how AI behaves in the real world.
Core Foundations
Start with three essays on the core foundations behind how AI systems interpret context, assign trust, and decide what to recommend.
Thought AI
What Is LLM Visibility?
Before a model can recommend your business, it has to be able to read it, understand it, and trust it. Here's what that foundation actually requires.
Read the articlePhilosophy
What Is LLM Philosophy?
LLMs are a black box. We can observe what goes in and what comes out - but what happens in between is still largely unknown. LLM philosophy is the practice of thinking seriously about that gap.
Read the articleResearch
Controlled experiments on how AI systems discover, evaluate, and cite content.
Research
AI Citation Research: Key Findings from WhatsMyArtWorth.com
A 28-day experiment proved a brand-new site can earn ChatGPT citations in 33 days. Six findings on AI conversion rates, page weight, schema data, and the completion gap.
Read the articleAbout
Applied AI, Measured by Outcomes
I build and study AI systems through an operator lens: what works under real constraints, what breaks, and why.
This site shares the frameworks and findings behind better recommendation outcomes.