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geo-schema

Audit and generate Schema.org JSON-LD for AI entity recognition.

Updated Mar 11, 2026
Search Tags:#structured data#seo#entity recognition#schema.org#json-ld#ai discoverability
One-click install
npx skills add https://github.com/stagsz/GeoRank --skill geo-schema-stagsz
Or copy as Structured Prompt for Agentâ–¼
Please help me install this Agent Skill.
Skill: geo-schema
Source: https://github.com/stagsz/GeoRank/tree/main/skills/geo-schema
Command: npx skills add https://github.com/stagsz/GeoRank --skill geo-schema-stagsz

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the challenge of making your website's entity information understandable and trustworthy to AI search engines by auditing and generating Schema.org structured data.

Core Features & Use Cases

  • Schema Detection & Validation: Identifies and validates existing JSON-LD, Microdata, and RDFa markup.
  • GEO-Optimized Schema Generation: Creates essential JSON-LD for Organization, Article, Product, and more, focusing on AI discoverability signals like sameAs and knowsAbout.
  • Use Case: A publisher can use this Skill to ensure their articles are correctly marked up with author and publisher information, increasing their chances of being cited by AI models.

Quick Start

Use the geo-schema skill to audit the structured data on example.com and generate missing Organization schema.

Frequently Asked Questions about geo-schema

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

FAQPage Schema
How do I generate Schema.org structured data for AI discoverability?â–¼

You generate Schema.org structured data by creating JSON-LD markup for entities like Organization, Article, and Product, emphasizing properties such as `sameAs` and `knowsAbout` to build robust entity graphs that AI search engines can understand and trust.

Why does my website need JSON-LD for AI search engines?â–¼

Your website needs JSON-LD because it translates entity information into a structured format that AI search engines can easily detect and validate, increasing the likelihood your content is recognized and cited by AI models.

Can I audit existing structured data markup like Microdata and RDFa?â–¼

Yes, you can audit existing structured data by detecting and validating JSON-LD, Microdata, and RDFa markup to ensure your current schemas are correctly formatted for AI discoverability and entity recognition.

What is the best way to mark up articles for AI entity recognition?â–¼

The best way to mark up articles for AI entity recognition is generating JSON-LD schema that includes detailed author and publisher information, using properties like `sameAs` to link entities and establish trustworthiness for AI models.

How do I validate missing Organization schema for my domain?â–¼

You validate missing Organization schema by auditing your domain to detect existing JSON-LD, then generating the missing critical schemas with properties like `knowsAbout` to ensure your organization's entity graph is complete.

Does Schema.org structured data work for LocalBusiness and Product pages?â–¼

Yes, Schema.org structured data works for LocalBusiness and Product pages by generating specific JSON-LD schemas for these entity types, enhancing their visibility and entity recognition for AI search engines.

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