Ranking in the answer engines.
Generative Engine Optimization is not SEO with a new label, and it is not the same on every engine. Six dispatches on what we see ChatGPT, Perplexity, and Google AI Overviews actually weighting in 2026.
- 01
What is GEO.
A working definition of Generative Engine Optimization, drawn from the live patterns we see ChatGPT, Claude, and Perplexity actually citing in 2026.
Read - 02
llms.txt explained.
The proposed convention, the actual adoption curve, and what to put in yours if you only have an hour. Our llms.txt as the worked example.
Read - 03
How to rank in ChatGPT.
What the SearchGPT crawler weights, why brand mentions on third-party sites matter more than your meta tags, and the citation patterns that hold.
Read - 04
How to rank in ChatGPT for small business.
The practical SMB visibility stack: entity clarity, service pages, proof, FAQs, schema, reviews, and third-party mentions.
SMB wedgeRead - 05
How to rank in Perplexity.
Why Perplexity behaves more like classical search than the other AI engines, and the structural cues it rewards in 2026.
Read - 06
How to rank in Google AI Overviews.
AI Overviews citations come from the top organic and from passages, not pages. The on-page formatting choices that earn the box.
Read - 07
GEO vs SEO vs AEO.
Why the three labels are doing distinct work, why most agency content collapses them, and the matrix we use on real engagements.
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