Generative Engine Optimization (GEO): Passage Citability & Entity Graph Schema in 2026
How to structure 134-167 word passage capsules and JSON-LD schema graphs to dominate Perplexity and ChatGPT Search.
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How to structure 134-167 word passage capsules and JSON-LD schema graphs to dominate Perplexity and ChatGPT Search.

I rank #1 on Google. On Brave I'm page 5, and my own AI agents search Brave, so they can't find me. Here's why that gap quietly makes you invisible to AI, and what I did about it.
The LLMO framework is the structured methodology for AI search visibility. Learn the four pillars that make AI engines cite your brand in ChatGPT, Perplexity, and Gemini.
Originally published on The Searchless Journal The Buzz Cycle Ends Six months into...
Originally published on The Searchless Journal The Definition GEO stands for Generative...
Originally published on The Searchless Journal Large Language Model Optimization, or LLMO, is the...
Originally published on The Searchless Journal What Is LLMO (Large Language Model...
Originally published on The Searchless Journal If you have heard the term LLMO and are not sure...

I logged my blog's AI citations every week for nine weeks. They peaked at week three, then fell by more than half. Google traffic for the same pages never moved. SEO and AI citation run on two different clocks.

Query fan-out means an AI breaks one question into a handful of sub-queries before it answers. Pages that rank for those sub-queries get cited 161% more often. Here is how I rebuilt my sections to answer them.

AI search doesn't cite pages, it cites passages. Here's how I rewrote my own posts as snappable, citation-ready passages, and the four-layer structure I now use for every article.

Ahrefs studied 75,000 brands and found unlinked web mentions correlate with AI visibility at 0.664 — about 3x stronger than backlinks at 0.218. The off-page side of LLMO that almost nobody optimizes.