( INSIGHTS — 05 ARTICLES )
How AI searchactually works.
Explainers for business owners, written from what we measure, not what we assume. No jargon we cannot define.
- 01How ChatGPT and Google AI pick their sources (and why they sometimes get you wrong)The pipeline behind an AI answer: retrieve, read, select, synthesize, cite. What each engine searches, what makes a passage get chosen, and why answers go wrong.
- 02How to get cited in Google AI Overviews (they follow the organic top 20)Where Google's AI Overviews and AI Mode get their sources, why an unranked page is almost never cited, how question layers decide who gets named, and what to do.
- 03“ChatGPT is recommending my business. How did that happen?”Why ChatGPT names some businesses and not others when buyers ask who to hire: the five signals behind a recommendation, how to check yours, and what to fix.
- 04llms.txt: the complete guide (spec, example, generator, and whether it works)What an llms.txt file is, the exact format, a worked example for a business, how it differs from robots.txt and schema, and whether AI engines actually read it.
- 05Generative Engine Optimization (GEO) explained: GEO vs SEO vs AEOWhat generative engine optimization is, how it differs from SEO and AEO, what changed when ChatGPT and Google's AI started answering buying questions, and what did not.
( TOOLS )