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geo-optimization

Audit digital content for AI visibility and citation-rate optimization.

47|4|Updated Feb 21, 2026
Search Tags:#structured data#content optimization#ai visibility#ai seo#citation rate#llm citations#generative engine optimization
One-click install
npx skills add https://github.com/fabricioctelles/skills --skill geo-optimization-fabricioctelles
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: geo-optimization
Source: https://github.com/fabricioctelles/skills/tree/main/skills/geo-optimization
Command: npx skills add https://github.com/fabricioctelles/skills --skill geo-optimization-fabricioctelles

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps brands and content teams improve discoverability and citation rates in AI-generated responses from platforms such as ChatGPT, Perplexity, Google AI Overview, Claude, and Gemini.

Core Features & Use Cases

  • Full GEO Audits: Evaluate AI visibility, establish citation-rate baselines, and create prioritized optimization roadmaps.
  • Content Optimization: Align terminology, titles, metadata, headings, comparison pages, FAQs, and structured data with natural-language LLM searches.
  • Agent-Friendly Architecture: Plan llms.txt files, Markdown fallbacks, crawler handling, community signals, and ongoing visibility monitoring.
  • Use Case: Use this Skill to audit a product page, identify why AI systems may not cite it, and produce an optimized comparison page with FAQs, JSON-LD, and a measurement plan.

Quick Start

Use the GEO Optimization skill to perform a full GEO audit of my product page and provide a prioritized roadmap for improving AI citation rates.

Frequently Asked Questions about geo-optimization

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

FAQPage Schema
How do I improve my content's citation rate in AI-generated answers?▼

To improve your citation rate in AI-generated answers, align your content architecture with natural-language LLM searches by optimizing terminology, adding structured data like JSON-LD, and generating comparison pages and FAQs.

What is generative engine optimization and how does it differ from traditional SEO?▼

Generative engine optimization increases discoverability in AI platforms like ChatGPT and Perplexity by focusing on LLM-oriented content architecture, citation-rate testing, and community signals rather than traditional search ranking factors.

Why does ChatGPT or Perplexity not cite my product page in AI search results?▼

AI systems may not cite your product page if it lacks agent-friendly architecture, structured data, Markdown fallbacks, or terminology aligned with natural-language queries, which a GEO audit can identify and fix.

Do I need structured data and llms.txt files for AI visibility measurement?▼

Yes, structured data like JSON-LD and agent-friendly files such as llms.txt are required to help crawlers access content, validate formatting, and establish ongoing AI visibility monitoring.

What's the best way to measure AI visibility and track LLM citations over time?▼

The best way to measure AI visibility is establishing a citation-rate baseline through GEO audits and implementing ongoing monitoring to track how frequently AI-generated responses cite your digital content.

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