geo-schema

Detect and validate Schema.org structured data in HTML, JSON-LD, Microdata, and RDFa.

25|15|Updated Jun 1, 2026
One-click install
npx skills add https://github.com/joanby/geo-seo-claude --skill geo-schema-joanby
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: geo-schema
Source: https://github.com/joanby/geo-seo-claude/tree/main/skills/geo-schema
Command: npx skills add https://github.com/joanby/geo-seo-claude --skill geo-schema-joanby

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Audit and optimize structured data to improve AI discovery.

Core Features & Use Cases

  • Detects and validates Schema.org structured data across HTML, JSON-LD, Microdata, and RDFa.
  • Validates schemas, identifies missing GEO-friendly properties, and suggests improvements.
  • Generates ready-to-use JSON-LD blocks and a GEO-SCHEMA-REPORT.md to guide optimization.

Quick Start

Run the GEO-schema workflow against a target URL to scan, validate, and generate structured-data artifacts for AI-friendly discovery.

Frequently Asked Questions about geo-schema

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

FAQPage Schema
How do I audit structured data for AI discoverability on my web pages?

Schema.org structured data improves AI discovery by providing standardized metadata that AI engines parse to understand page content. Validating schemas and adding GEO-friendly properties ensures your web pages are correctly interpreted and surfaced by AI systems.

How do I validate JSON-LD against Schema.org and fix missing properties?

Validating JSON-LD against Schema.org involves scanning target URLs to detect existing markup and checking for missing GEO-friendly properties. The process outputs ready-to-paste JSON-LD blocks and a GEO-SCHEMA-REPORT.md file guiding optimization.

What is the best way to generate a WebSite and Organization schema graph with sameAs links?

Generating a WebSite and Organization schema graph requires validating target URLs and extracting metadata to build proper sameAs links. The process outputs server-side generated JSON-LD blocks representing your site's authoritative web presence for AI discovery.

Does this structured data audit detect Microdata and RDFa in addition to JSON-LD?

Yes, this structured data audit detects JSON-LD, Microdata, and RDFa across target HTML. It validates all detected formats against Schema.org to identify missing GEO-friendly properties and generates optimized JSON-LD blocks for AI discoverability.

How do I create a structured data report to guide schema optimization?

Create a structured data report by running a web audit that scans target pages for JSON-LD, Microdata, and RDFa. The audit generates a GEO-SCHEMA-REPORT.md file detailing validation results, missing GEO properties, and suggested improvements.

When should I use JSON-LD over Microdata or RDFa for AI discoverability?

Use JSON-LD over Microdata or RDFa when prioritizing AI discoverability, as it is the recommended Schema.org format for server-side generation. The audit detects all three formats but outputs ready-to-paste JSON-LD blocks for optimal AI parsing.