geo-review

Assess web content for AI citation readiness across CITE, STRUCT, AUTH, TECH, and TEST domains.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/ShiplightAI/codex-plugin --skill geo-review
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: geo-review
Source: https://github.com/ShiplightAI/codex-plugin/tree/main/agents/skills/geo-review
Command: npx skills add https://github.com/ShiplightAI/codex-plugin --skill geo-review

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

GEO review helps content creators and product teams understand how AI-powered search and retrieval systems will cite and use their content, enabling better AI-based discovery.

Core Features & Use Cases

  • Content citation-worthiness analysis: identifies concrete claims, statistics, and data that AI can cite.
  • Structure for AI retrieval: ensures headings, FAQ patterns, and digestible chunks support accurate answering.
  • Authority signals and technical discoverability: evaluates author info, freshness, schema, and llms.txt readiness for AI crawlers.
  • Use cases include optimizing docs, marketing pages, product pages, and knowledge bases for AI-assisted answers.

Quick Start

Run the GEO Review on your content corpus to identify citation gaps and actionable improvement steps.

Frequently Asked Questions about geo-review

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

FAQPage Schema
What is AI citation readiness and how does content optimization improve it?

AI citation readiness measures how effectively retrieval-augmented generation systems can parse and reference your structured data. Content optimization improves it by evaluating concrete claims, structural clarity, and authority signals to ensure AI search engines can accurately discover and cite your pages.

How do I optimize web content and docs for AI search retrieval?

To optimize web content for AI search retrieval, assess your pages for citation-worthiness, ensure structural clarity with digestible chunks and FAQ patterns, and verify technical discoverability through schema and llms.txt readiness for AI crawlers.

Does AI citation analysis work for marketing pages and knowledge bases?

Yes, AI citation analysis works for marketing pages, docs, and knowledge bases. It evaluates authority signals, entity clarity, and content structure to guide actionable remediation, ensuring AI-powered search systems can effectively retrieve and use your content.

What's the best way to evaluate E-E-A-T authority signals for AI crawlers?

The best way to evaluate E-E-A-T authority signals for AI crawlers is to review author information, content freshness, and technical discoverability. This ensures your structured data meets the authority and entity clarity requirements needed for AI citation.

Why is my web content not being cited by AI search systems?

Your web content may not be cited by AI search systems due to gaps in citation-worthiness, missing structural clarity for accurate answering, or weak technical discoverability like absent schema or llms.txt files. A GEO review identifies these specific remediation gaps.