geo-content

Create AI-search-friendly content outlines using the GEO framework.

Updated Dec 29, 2020

Search Tags:#schema-markup #content-structure #ai-seo #geo-content #ai-search #citation-building

Ready to run

npx skills add https://github.com/ihmissuti/kimmoihanus-nextjs-site --skill geo-content

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: geo-content
Source: https://github.com/ihmissuti/kimmoihanus-nextjs-site/tree/main/.cursor/skills/geo-content
Command: npx skills add https://github.com/ihmissuti/kimmoihanus-nextjs-site --skill geo-content

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

GEO Content helps content creators craft AI Search optimized articles by applying GEO (Generative Engine Optimization) best practices to improve visibility and citability in AI-generated answers across major assistants.

Core Features & Use Cases

Structured Article Blueprint: Provides a repeatable GEO-focused framework that AI can parse and reuse.
Frontmatter-Driven Metadata: Uses YAML frontmatter to define purpose, topic, and author signals for consistent activation.
Content Structuring Rules: H1 as the exact user question, direct answers after headings, and 5-5-5 formatting to maximize AI extractability.
Use Case Examples: Create blog posts, guides, or educational content that AI systems cite in responses.

Quick Start

Write a GEO-optimized outline for an article titled "What is Generative Engine Optimization (GEO)?", following the GEO content blueprint.

Frequently Asked Questions about geo-content

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I write content that gets cited by AI search engines like ChatGPT and Perplexity?▼

To get cited by AI search engines, you need Generative Engine Optimization (GEO) content structured for AI extractability. This means using the exact user question as the H1, providing direct answers after headings, and applying a 5-5-5 formatting rule to maximize visibility in generated responses.

What is Generative Engine Optimization (GEO) for blog posts and educational guides?▼

Generative Engine Optimization (GEO) is a framework that optimizes blog posts and educational guides for AI-generated answers. It uses frontmatter-driven metadata and structured article templates to improve content citability and visibility across major AI assistants like ChatGPT, Gemini, and Perplexity.

How do I structure an article outline to improve AI search visibility?▼

Structure an article outline for AI search visibility by using frontmatter-driven metadata to define topic and purpose. Apply content structuring rules like setting the H1 as the exact user question, placing direct answers immediately after headings, and using 5-5-5 formatting for maximum AI extractability.

Does GEO content formatting work for educational content and guides?▼

Yes, GEO content formatting works effectively for educational content and guides. The framework provides a repeatable blueprint using YAML frontmatter and policy-aligned content guidelines that AI systems can easily parse and cite in educational responses.

What is the best way to format schema markup and content for AI-generated answers?▼

The best way to format content for AI-generated answers is using the GEO framework's structured article blueprint. It enforces YAML frontmatter metadata, direct answer placement after headings, and 5-5-5 formatting to maximize AI extractability and citation building across search assistants.