Topic · 5 pieces
Generative Engine Optimization
Generative engine optimization is the work of being the source an AI answer quotes. These pieces cover the mechanics of it: what the research measured, how each engine retrieves and cites, what AI Overviews did to click-through, which schema still matters, and how the discipline differs from the SEO it sits beside.
Start with the 2026 guide if you are new to the term. The rest go deeper on one engine, one lever or one consequence, and each links back here.
Schema Markup for the AI Search Era: What Still MattersThe schema types that actually move the needle for AI Overviews, ChatGPT Search, and Perplexity, plus how llms.txt fits in, with copy-paste code examples.8 May 202612 min
How to Get Cited in ChatGPT, Perplexity, and Google AI OverviewsA tactical playbook for earning citations inside the answer. What works across all three engines, what is specific to each, and what each one cites most.11 Sept 202613 min
GEO vs SEO: What Actually Changes for Content StrategyGEO is not replacing SEO. It is a parallel layer with a different success metric, different surfaces, and different tactics. What changes for content strategy.8 May 202611 min
Generative Engine Optimization (GEO): A 2026 GuideWhat GEO is, how it differs from SEO and AEO, and the six interventions that actually move citation rates inside ChatGPT, Perplexity, and Google AI Overviews.11 Sept 202616 min
AI Overviews Killed Your CTR. Here's the New Playbook.Independent studies put the CTR drop from AI Overviews between 34% and 79%. What the data says, why the studies disagree, and how to adapt.8 May 202612 min