skill
geo-skills
Production-grade GEO best practices for AI agents — everything you need to optimize content for AI search engines and LLM-based answer engines
Set up
Skills are installed by placing their folder where your agent loads skills.
The download comes from github.com/luka2chat/geo-skills itself, not from our server, so what you get is exactly what its author published.
Install instructions come from the README
README
synced Oct 17, 2026geo-best-practices
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.
Install
npx skills add luka2chat/geo-skills
Or install from the full GitHub URL:
npx skills add https://github.com/luka2chat/geo-skills
Supports Cursor, Claude Code, Codex, OpenCode, Gemini CLI, GitHub Copilot, and 37+ AI agents.
Why This Skill?
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.
What's Included
12 rule files covering the full GEO stack:
Content & Strategy
| 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 |
Technical Implementation
| 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 |
Authority & Trust
| 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 |
Platform & Analytics
| 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 |
What is GEO?
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 |
Resources
Based on the Awesome GEO curated resource list — 120+ GEO resources including research papers, tools, strategies, and case studies.
License
MIT