geo-fundamentals

Assess public web content for GEO readiness using JSON-LD and author attribution.

1|Updated Dec 19, 2025

Search Tags:#content-optimization #structured-data #json-ld #geo #ai-citation #ai-seo #author-attribution

Ready to run

npx skills add https://github.com/fnsalinas/fnsalinas.github.io --skill geo-fundamentals-fnsalinas

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

GEO Fundamentals help teams improve AI engagement by making content more citable and trustworthy in AI-generated answers, reducing the gap between public content and AI references.

Core Features & Use Cases

Defines GEO best practices to boost AI citations across engines (ChatGPT, Claude, Perplexity, Gemini).
Provides a scoring framework and a checklist to optimize content structure, data quality, and author attribution.
Use case: a tech publisher wants their data-driven articles to appear as referenced sources in AI responses.

Quick Start

To begin, run the GEO audit script to scan public-facing pages in your project and identify missing structured data and author info to improve 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 my web content for AI citations in search engines like ChatGPT and Perplexity?▼

To optimize web content for AI citations, you must ensure JSON-LD structured data, proper author attribution, and content freshness signals are present. Running a GEO readiness assessment validates these elements to maximize visibility across major AI engines.

What is GEO readiness and how does it affect AI-generated search results?▼

GEO readiness is the measure of how easily AI engines can reference your public web content. High readiness requires validated structured data and author attribution, reducing the gap between published content and AI references.

How do I audit my technical documentation for AI search engine visibility?▼

You can audit technical documentation for AI visibility by running an automated GEO assessment script. This scans public-facing pages to identify missing structured data and author info, providing a scoring framework to improve citation readiness.

Does my product page need JSON-LD to appear as a source in AI responses?▼

Yes, product pages require JSON-LD to appear as a source in AI responses. Validated structured data is a mandatory prerequisite for passing the GEO assessment and maximizing AI citations across engines.

Why does my article not show up as a referenced source in AI generated answers?▼

Your article may not appear as a referenced source due to missing freshness signals, inadequate author attribution, or invalid JSON-LD. An automated GEO audit identifies these specific gaps to improve content trustworthiness for AI engines.

Can I use this GEO assessment for my tech publishing platform?▼

Yes, tech publishers can use this GEO assessment to optimize data-driven articles. The provided scoring framework and checklist evaluate content structure and data quality to ensure articles appear as referenced sources in AI responses.