Blog

Research on how visibility
actually works now.

Guides, original data, and the measurement methodology behind everything we do. Written to be cited — by publications and by the engines themselves.

▪ Launch slate

The first ten

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What Is Generative Engine Optimization? The Complete Guide

The pillar guide: what GEO is, how AI engines choose sources, and how the discipline actually works.

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GEO vs SEO: What's Different, What's Shared, What to Do First

The two surfaces of search compared honestly — and the order of operations for brands starting now.

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How ChatGPT Chooses Its Sources — and How to Become One

Training data, retrieval, citations: the layers behind a ChatGPT answer, and where brands can act.

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How Perplexity Citations Work

Why Perplexity cites what it cites, and what a citable page actually looks like.

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Google AI Overviews: How to Get Featured

What triggers an Overview, which content gets pulled in, and how to structure for it.

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llms.txt, Explained

The plain-text standard that gives AI systems a map of your site — what it is and how to write one.

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The Technical SEO Checklist That Actually Matters in 2026

The short list of technical work that moves rankings — and the long list that doesn't.

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Entity SEO: Making Your Brand Machine-Legible

How AI systems understand brands as entities, and how to strengthen yours.

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How to Measure AI Share of Voice

The AVS methodology: fixed prompt sets, scoring models, and honest measurement.

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International SEO Architecture: A Practical Guide

Hreflang, multi-market structures, and the mistakes that quietly kill global visibility.

▪ Glossary

The vocabulary of being found

Short, precise definitions — each one structured to be the answer when someone (or something) asks.

GEOAEOAI OverviewsCitationEntityKnowledge graphCrawl budgetHreflangCore Web VitalsShare of voicellms.txtStructured dataAVSAnswer engineRAGIndexation

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