geo-fundamentals

Audit web content for AI citation readiness using structured data checks.

132|22|Updated Dec 18, 2025

Search Tags:#structured data #audit #content optimization #web content #GEO #JSON-LD #AI citations

Ready to run

npx skills add https://github.com/xenitV1/Antigravity-Workflows --skill geo-fundamentals

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: geo-fundamentals
Source: https://github.com/xenitV1/Antigravity-Workflows/tree/main/skills/geo-fundamentals
Command: npx skills add https://github.com/xenitV1/Antigravity-Workflows --skill geo-fundamentals

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

GEO addresses the challenge of getting AI engines to cite your public content by ensuring it is structured, attributed, and organized for machine consumption.

Core Features & Use Cases

GEO Audit Checks: Validate JSON-LD, author attribution, publication dates, FAQ presence, headings, lists, and tables to improve AI citations.
Content Readiness for AI: Tailor pages, documents, and knowledge bases to maximize knowledge-graph integration and source credibility.
Use Case: A marketing blog wants higher AI mention and credibility in responses; GEO audits its articles and improves structure accordingly.

Quick Start

Run the GEO checker on a local project: python scripts/geo_checker.py <project_path>
Example: python scripts/geo_checker.py ./public

Frequently Asked Questions about geo-fundamentals

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

FAQPage Schema

How do I make my content more likely to be cited by AI engines?▼

AI engines cite content that is structured, attributed, and organized for machine consumption. GEO audits your pages for JSON-LD markup, author attribution, publication dates, and semantic HTML patterns—headings, lists, tables, and FAQs—to improve discoverability and credibility in AI-generated responses.

What structured data formats does GEO check for content optimization?▼

GEO validates JSON-LD markup, a structured data format that helps AI systems understand content context, authorship, and dates. It ensures your web pages, articles, and documentation include proper schema annotations so AI engines can parse and cite your content reliably.

How do I audit my documentation or knowledge base for AI citation readiness?▼

Run the GEO audit script on your project directory: `python scripts/geo_checker.py <project_path>`. It validates JSON-LD, author attribution, publication dates, FAQ structure, headings, lists, and tables—identifying gaps that prevent AI engines from citing your content.

Can I use GEO to improve my marketing blog's visibility in AI responses?▼

Yes. GEO audits blog articles for structured data, author information, dates, and semantic organization—all signals AI engines use to select sources. Addressing GEO audit findings increases your blog's likelihood of being cited in AI-generated content and knowledge graphs.

What's the difference between adding content and optimizing it for AI citation?▼

Content alone isn't enough for AI citation. GEO enforces structured markup, clear authorship, dates, and semantic patterns that make content machine-readable. Without these signals, AI engines may overlook your pages even if they contain relevant information.