GEO

I spent a month measuring how often ChatGPT, Perplexity and Google AI Overview actually cite a source they retrieved. Across eight B2B projects the pattern holds: three engines, three near-separate source pools. AI visibility is three targets, not one.

Skills execute, they know nothing. How to store brand knowledge in the Open Knowledge Format: a folder of Markdown files any model reads without conversion. With my complete GEO bundle to download under CC BY 4.0.

AI systems break every prompt into several sub-queries and search for answers in parallel. Whoever optimizes only for the starting term is absent from the majority of these runs. Why entity mapping replaces the foundation that keyword thinking once was.

The complete guide to llms.txt: origin, structure, Google's official position, what the data shows about its use and who the file really pays off for — with my own analysis of 2,041 source domains, an example and practical steps.

A look at the traffic beneath the answer shows how ChatGPT gathers, selects and cites sources. What of it is actually evidenced, and where to act for your AI visibility.

When an AI model retrieves your page but does not cite it, that is your biggest opportunity. How to measure the gap, prioritize it, and track it over time.

Buying decisions are shifting into AI answers. Why LLM visibility becomes a channel of its own for online shops and how to occupy it.