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geo-fundamentals

Audit websites for AI citation readiness across JSON-LD, headings, and author signals.

Updated Jan 30, 2026
Search Tags:#audit#content-optimization#structured-data#web-content#json-ld#geo#ai-citation
One-click install
npx skills add https://github.com/gensart-projs/cp-kit --skill geo-fundamentals-gensart-projs
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: geo-fundamentals
Source: https://github.com/gensart-projs/cp-kit/tree/main/packages/cp-toolkit/templates/skills/geo-fundamentals
Command: npx skills add https://github.com/gensart-projs/cp-kit --skill geo-fundamentals-gensart-projs

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

## What problem does it solve? GEO helps optimize content for AI citations by ensuring JSON-LD, author and date signals, and FAQ sections are present to improve citations in AI responses.

## Core Features & Use Cases

  • GEO readiness audit evaluating JSON-LD, entity signals, author/date, and FAQ sections.
  • Automated CI-friendly Python script (geo_checker.py) to scan public web content.
  • Use case: content creators publish well-structured content to maximize AI citation rates by ensuring traceable sources and clear authorship.

### Quick Start Run the GEO checker against your project to audit AI citation readiness of public web content.

Frequently Asked Questions about geo-fundamentals

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

FAQPage Schema
How do I audit my web content for AI citation readiness?▼

AI citation readiness is evaluated by auditing public web content for JSON-LD presence, proper heading structure, author and date signals, and FAQ sections. This automated GEO checker script identifies missing structured data elements required by AI engines.

What structured data do I need for AI engines to cite my content?▼

AI engines require JSON-LD structured data, clear authorship and date signals, and FAQ sections to reliably cite web content. Ensuring these metadata elements are present improves content traceability and increases citation rates in AI-generated responses.

Can I run a GEO audit script for Next.js and React projects?▼

Yes, the automated CI-friendly Python script can scan public web content across Next.js, React projects, static sites, blogs, and knowledge bases. It evaluates GEO readiness by checking required structured data and entity signals without manual configuration.

How do I integrate a structured data checker into my CI pipeline?▼

Integrate the GEO checker by executing the automated Python script within your CI pipeline to scan public web content. It validates JSON-LD presence, heading structure, and author signals to ensure published content meets AI citation requirements continuously.

Why does my web page content not get cited by AI assistants?▼

Content frequently gets ignored by AI engines when it lacks proper JSON-LD structured data, clear author and date signals, or FAQ sections. The GEO audit script identifies these missing structural and metadata elements to improve citation readiness.

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