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.