geo

Audit web projects for Generative Engine Optimization and generate llms.txt files.

34|6|Updated Jun 30, 2026
One-click install
npx skills add https://github.com/flavien-ia/hypervibe-harness --skill geo-flavien-ia
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: geo
Source: https://github.com/flavien-ia/hypervibe-harness/tree/main/skills/geo
Command: npx skills add https://github.com/flavien-ia/hypervibe-harness --skill geo-flavien-ia

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill addresses the gap between traditional SEO and Generative Engine Optimization (GEO), ensuring your content is structured, trustworthy, and accessible enough for AI models like ChatGPT, Claude, and Perplexity to cite as a primary source.

Core Features & Use Cases

  • AI-Specific Auditing: Analyzes your site for llms.txt compliance, AI crawler policies, and E-E-A-T signals.
  • Content Structuring: Implements FAQPage schema and optimizes content chunking to make your information easily extractable by AI.
  • Use Case: If you run a technical blog or documentation site, this skill helps you become a referenced authority in AI-generated answers by ensuring your data, dates, and sources are clearly marked and trustworthy.

Quick Start

Run the geo skill to audit your current project and generate the necessary AI optimization files.

Frequently Asked Questions about geo

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

FAQPage Schema
What is Generative Engine Optimization and how does it differ from traditional SEO?

Generative Engine Optimization (GEO) structures web content so AI answer engines like ChatGPT and Perplexity can extract and cite it. Unlike traditional SEO for search rankings, GEO focuses on AI citability using llms.txt files and structured data.

How do I optimize my documentation site to be cited by AI answer engines?

To optimize for AI citability, you need to implement llms.txt compliance, configure AI crawler policies, and apply FAQPage schema. This structures your content for easy extraction by generative engines during their answer generation process.

Do I need an llms.txt file for my technical blog to appear in AI-generated responses?

An llms.txt file is essential for technical blogs seeking visibility in AI-generated responses. It provides AI crawlers with structured information about your site, directly satisfying generative engine optimization requirements and improving content citability.

What is the best way to structure website content for AI models to extract information?

The best way to structure content for AI extraction is through content chunking and FAQPage schema implementation. This ensures your data, dates, and sources are clearly marked, making the information easily parseable by generative answer engines.

Can I audit my existing web project for AI crawler policies and E-E-A-T signals?

You can audit existing web projects for AI crawler policies and E-E-A-T signals by analyzing llms.txt compliance. This auditing process identifies gaps in your current setup to ensure your content meets the trustworthiness standards required by AI models.

When should I not use generative engine optimization for my website?

Generative engine optimization is not necessary for web projects that do not rely on informational traffic or content authority. If your site does not target AI-generated answer visibility or require structured data extraction, traditional SEO may suffice.