Production-grade best practices for Generative Engine Optimization (GEO) — everything you need to optimize content for AI-powered search engines and LLM-based answer engines.
npx skills add luka2chat/geo-skillsOr install from the full GitHub URL:
npx skills add https://github.com/luka2chat/geo-skillsSupports Cursor, Claude Code, Codex, OpenCode, Gemini CLI, GitHub Copilot, and 37+ AI agents.
AI search traffic is growing 357% YoY, and AI visitors convert at 4.4x the rate of traditional organic search. This skill gives your AI coding agent the domain knowledge to implement GEO correctly — from Schema.org markup to robots.txt crawler rules to content structure patterns that AI engines actually cite.
Every rule is actionable: code templates, configuration files, checklists, and implementation patterns. No tool recommendations or SaaS listings — only what an AI agent can directly execute.
12 rule files covering the full GEO stack:
| Rule | What It Covers |
|---|---|
| Content Strategy | The 4 pillars: authority, quotability, comprehensiveness, structure — with good/bad examples |
| Content Types | Which formats earn AI citations, "chunkable" writing rules, length guidelines |
| Brand Mentions | Buyer journey optimization, mention frequency & sentiment, emerging brand strategies |
| Rule | What It Covers |
|---|---|
| Technical Optimization | FAST framework, SSR code examples, semantic HTML, Core Web Vitals, 3-step readiness plan |
| Structured Data | JSON-LD templates for Article, FAQ, Organization, Product, HowTo schemas |
| AI Crawler Config | Complete robots.txt with all AI crawlers, selective blocking strategy |
| llms.txt | Format spec, real-world example, implementation checklist |
| Product Feed | XML feed format, Product schema, Google/Microsoft/ChatGPT submission |
| Rule | What It Covers |
|---|---|
| E-E-A-T Optimization | Author markup, trust signals, YMYL rules with reviewedBy schema |
| Authority Building | Brand entity markup, sameAs linking, description consistency, syndication rules |
| Rule | What It Covers |
|---|---|
| AI Search Engines | Platform-specific rules for ChatGPT, Perplexity, Google AI Overviews, Copilot, Claude |
| Analytics & Monitoring | GA4 regex setup, citation patterns across LLMs, traffic share data, audit process |
Generative Engine Optimization (GEO) is an optimization strategy for improving content visibility in AI search engines. Unlike traditional SEO, GEO focuses on being cited and recommended by AI systems.
| SEO | GEO | |
|---|---|---|
| Target | Google, Bing | ChatGPT, Perplexity, Gemini, AI Overviews |
| Focus | Keywords, backlinks | Authority, quotability, factual accuracy |
| Metrics | Rankings, CTR | AI citation rate, brand mentions |
| Content | Web pages, blogs | In-depth, data-backed, structured content |
Based on the Awesome GEO curated resource list — 120+ GEO resources including research papers, tools, strategies, and case studies.
MIT