Field notes on answer-engine visibility.
Long-form research, playbooks and product notes for teams building for ChatGPT, Perplexity, Gemini and the next generation of search.
How to Measure AI Search Visibility
AI answers are probabilistic, so single checks prove nothing. Here is the metric set and sampling method behind a defensible AI visibility baseline.
How to Write an llms.txt File: A Practical Guide
A line-by-line walkthrough of writing, structuring, serving and validating an llms.txt file, including a complete worked example.
llms.txt Explained: What It Is and What It Actually Does
A clear explanation of the llms.txt convention: what the file contains, how it differs from robots.txt and sitemap.xml, and what to realistically expect from it.
How to Get Your Brand Mentioned in ChatGPT Answers
A practical sequence for improving the odds that ChatGPT and other assistants name your brand: access, evidence, corroboration and measurement.
GEO vs SEO: What Actually Changes
A side-by-side look at where generative engine optimization overlaps with classical SEO, and where the two genuinely diverge.
What Is Generative Engine Optimization (GEO)?
Generative engine optimization is the practice of making your brand easy for AI answer engines to retrieve, understand and cite. Here is what it means in practice.