Search Dominance
SEO, GEO and AEO — the three disciplines that decide whether your site is found in Google, cited by ChatGPT, and read aloud by voice assistants.
Search has fragmented. The same query lands in ten blue links, an AI Overview, a ChatGPT citation list, a Perplexity card, and a voice assistant answer — and each surface rewards different signals. Posts in this category document the field-tested methods we run on client engagements: technical SEO and Core Web Vitals, Generative Engine Optimization for AI assistants (citable passages, llms.txt, entity signals), Answer Engine Optimization for featured snippets and voice, and the schema graph that ties them together. Every article includes the production code or template we run on this very site, so you can verify the technique before you adopt it.
Posts in this category
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What Is Answer Engine Optimization (AEO)? The 2026 Playbook
Answer Engine Optimization (AEO) wins the direct-answer slots: snippets, AI Overviews, People Also Ask. Here's the 2026 playbook to do it on your own site.
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How to Optimize for AI Search: A 7-Step 2026 Playbook
How to optimize for AI search in seven steps: target question-shaped queries, write citable passages, ship llms.txt, add schema, align your entity, earn mentions, and track citations.
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How to Get Cited by ChatGPT in 2026: A Practitioner's Playbook
A 30-day operational sprint to get cited by ChatGPT, Perplexity, Claude, and Google AI Overviews, with the 20-prompt panel and answer-capsule templates we run live on this page.
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SEO vs GEO vs AEO: What's the Difference and Why It Matters in 2026
SEO, GEO, and AEO are three disciplines for three search surfaces. They share four levers and diverge at the polish layer. Here's how to ship all three as one practice.
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What Is Generative Engine Optimization? 2026 Guide + Playbook
Generative engine optimization (GEO) makes AI assistants cite your site. What GEO is, the 4 levers, a ready-to-use checklist, and the minimum viable stack you can ship in a week.
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What Is llms.txt? The Spec, a Real Example + 20-Min Setup
llms.txt explained: the official spec (Jeremy Howard) annotated in plain English, a copy-ready production example, and a 20-minute setup guide for ChatGPT and Perplexity.
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