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geo-fundamentals

Audit HTML, JSX, and TSX files for AI citation readiness factors.

Updated Jan 20, 2026
Search Tags:#claude#content optimization#seo#chatgpt#perplexity#geo#ai citation
One-click install
npx skills add https://github.com/yunaamelia/mcp-agent-memory-pro --skill geo-fundamentals-yunaamelia
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: geo-fundamentals
Source: https://github.com/yunaamelia/mcp-agent-memory-pro/tree/main/.agent/skills/geo-fundamentals
Command: npx skills add https://github.com/yunaamelia/mcp-agent-memory-pro --skill geo-fundamentals-yunaamelia

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill helps content creators optimize their web pages to be more likely to be cited by AI search engines like ChatGPT, Perplexity, and Claude, thereby increasing visibility and authority.

Core Features & Use Cases

  • AI Citation Readiness: Analyzes web content for elements that AI crawlers favor, such as structured data, clear headings, author attribution, and original statistics.
  • Content Audit: Identifies missing elements that hinder AI citation, providing actionable feedback.
  • Use Case: A marketing team wants their new blog post about sustainable energy to be a go-to resource for AI assistants. They run this Skill to ensure the post includes all necessary components like original data, expert quotes, and proper schema markup before publishing.

Quick Start

Run the geo checker script on the current project directory to audit its AI citation readiness.

Frequently Asked Questions about geo-fundamentals

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

FAQPage Schema
How do I optimize content for AI citations in search engines like ChatGPT and Perplexity?▼

To optimize content for AI citations, you need to audit web pages for structured data, clear headings, author attribution, dates, FAQs, lists, tables, and entity recognition. This Skill analyzes HTML and JSX files to identify missing elements hindering AI citation readiness.

What is Generative Engine Optimization readiness for web content?▼

Generative Engine Optimization readiness measures how likely web content is to be cited by AI search engines. It evaluates factors like structured data, original statistics, expert quotes, and proper schema markup that AI crawlers favor when generating responses.

Can I audit TSX and JSX files for AI search engine citation factors?▼

Yes, you can audit TSX and JSX files for AI citation factors. The Skill analyzes HTML, JSX, and TSX files to check for structured data, headings, author attribution, dates, FAQs, lists, tables, and entity recognition to ensure AI citation readiness.

How do I check if my blog post has the right schema markup and structured data for AI assistants?▼

You can check schema markup and structured data by running an audit script on your project directory. It analyzes web content files to identify missing components like structured data, original data, and expert quotes needed to become a go-to resource for AI assistants.

Does AI citation readiness require original statistics and expert quotes?▼

Yes, AI citation readiness heavily relies on original statistics and expert quotes. Auditing web content ensures these elements, alongside proper schema markup and clear headings, are present to maximize visibility and authority in AI search engine responses.

What are the limitations of automated GEO readiness audits for web content?▼

Automated GEO readiness audits are limited to analyzing static HTML, JSX, and TSX files for structural elements like structured data and headings. They cannot dynamically evaluate the actual semantic accuracy or factual authority of the original statistics and expert quotes provided.

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