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geo-fundamentals

Check web projects for JSON-LD, author, date, and FAQ citation signals.

Updated Feb 6, 2026
Search Tags:#structured data#content optimization#json-ld#geo#ai citations#web content audit
One-click install
npx skills add https://github.com/rahlplx/elite-astro-workforce-template --skill geo-fundamentals-rahlplx
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: geo-fundamentals
Source: https://github.com/rahlplx/elite-astro-workforce-template/tree/main/.agent/skills/geo-fundamentals
Command: npx skills add https://github.com/rahlplx/elite-astro-workforce-template --skill geo-fundamentals-rahlplx

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill helps ensure content is optimized for AI citation by making it easier for AI systems to extract structured data, author details, and FAQs from web content.

Core Features & Use Cases

  • Structured data ready: Ensures JSON-LD and schema.org types are present to signal articles, organizations, and FAQs to AI engines.
  • Attribution and freshness: Encourages consistent author and date metadata to improve trust signals.
  • AI-ready content: Improves likelihood of citations in AI responses for documentation, marketing pages, and tutorials.

Quick Start

Run the GEO Checker against a web project: python scripts/geo_checker.py <project_path> Review the JSON-LD, author/date, and FAQ signals reported by the tool 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 web content for AI citations?▼

To optimize web content for AI citations, ensure JSON-LD structured data, clear heading structures, author/date metadata, and FAQ content are present. Running a web content audit identifies missing signals to maximize AI recognition for blog posts and documentation.

Why is JSON-LD structured data needed for AI recognition?▼

JSON-LD structured data is needed because it explicitly signals articles, organizations, and FAQs to AI engines. Adding schema.org types ensures AI systems can accurately extract and attribute your web content data.

How do I run a web content audit for AI citation readiness?▼

Run a web content audit for AI citation readiness by executing the GEO Checker script against your project path. This reports missing JSON-LD, author/date metadata, and FAQ signals to improve your web content's AI recognition.

Does this AI citation optimizer work with documentation and product pages?▼

Yes, this AI citation optimizer works with documentation, product pages, and blog posts across web projects. It ensures consistent author attribution and date metadata to improve trust signals for AI systems.

When should I not rely on JSON-LD alone for content optimization?▼

You should not rely on JSON-LD alone when your web pages lack clear heading structures, visible FAQ content, and accurate author/date metadata. AI recognition requires these holistic trust signals alongside structured data.

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