Generative Engine Optimization (GEO)
How to Score Citation Share: The 5-Component Formula
The share of AI-generated answers across a defined prompt set in which a brand appears. Five components, weighted. The only metric that matters.
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generative engine optimization
Generative Engine Optimization (GEO)
How GEO Works: The Five Pillars
GEO is a discipline, not a tactic. Retrieval Architecture, Entity Authority, Citation Anchors, Cross-Engine Coverage, Measurement. The full operating system.
Generative Engine Optimization (GEO)
GEO in One Page: A Founder's Definition
GEO is the discipline of becoming the answer inside ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews. The complete definition.
Generative AI
What Is LLM Optimization?
LLM Optimization — LLMO — is the practice of improving how large language models represent, retrieve, and cite a brand. In most working use, it is the same discipline as GEO. The two terms are used interchangeably across the industry, and the gap between them is mostly one of emp…
Legal & Litigation Communications
BIG LAW IS LOSING THE CHATBOX
Law firm communications is structurally behind every other professional-services category on the AI Communications layer. Why the category fell behind, what the four EPR studies in this cluster show, and what the top firms are doing about it.
Generative Engine Optimization (GEO)
Measuring GEO: The Seven-Metric Stack for AI Visibility
Citation Share is the headline metric of GEO — but a program with only Citation Share is a scorecard, not an operating system. The full seven-metric stack: Citation Share, Entity Authority, Retrieval Frequency, Prompt Coverage, Crawl Health, Cross-Engine Variance, Citation Decay Rate.
Generative Engine Optimization (GEO)
What Citation Share Captures (and What It Doesn't)
Citation Share is the share of AI-generated answers in which a brand appears. The KPI behind GEO, how it is measured, what it captures, what it does not, and how to set up a Citation Share program.
Gambling
Lottery AI Visibility Index 2026: 28 Brands, 5 Engines, 65 Prompts — and a $113B Category Largely Absent From AI Answers
First sector-wide measurement of AI Citation Share for the US lottery industry. 28 brands, 5 AI engines, 65 prompts. The $113B category is largely absent from the answer engines.
Faith & Religion
Trust Infrastructure in Religious Communications
Every major religious institution is one investigation away from a reputation event. The six layers of trust infrastructure that determine how AI engines describe your tradition — built before the crisis, not after.
AI Communications
E-E-A-T to GEO: What the SEO Trust Framework Becomes Inside the AI Engines
Google's E-E-A-T framework didn't die — it got re-weighted by the AI engines. Here is how Experience, Expertise, Authoritativeness, and Trustworthiness translate into Citation Share inside ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews.