geo-schema

Audit and generate Schema.org JSON-LD structured data with sameAs entity linking.

Updated Mar 3, 2026
One-click install
npx skills add https://github.com/cwpete61/Orbis_GEO --skill geo-schema-cwpete61
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: geo-schema
Source: https://github.com/cwpete61/Orbis_GEO/tree/main/skills/geo-schema
Command: npx skills add https://github.com/cwpete61/Orbis_GEO --skill geo-schema-cwpete61

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the challenge of making website content understandable and trustworthy to AI search engines by ensuring proper implementation of Schema.org structured data.

Core Features & Use Cases

  • Schema Detection & Validation: Identifies and validates existing structured data (JSON-LD, Microdata, RDFa) on a webpage.
  • GEO-Optimized Schema Generation: Creates missing or incomplete Schema.org markup, focusing on critical types like Organization, Person, Article, and Product, with an emphasis on the sameAs property for entity recognition.
  • Use Case: A business owner wants to ensure their company is accurately represented and discoverable by AI search engines. This Skill audits their website's structured data, identifies gaps in critical schemas like Organization and its sameAs links to social profiles, and generates the necessary JSON-LD to improve AI understanding and citation probability.

Quick Start

Analyze the structured data on the provided URL and generate a report with recommendations.

Frequently Asked Questions about geo-schema

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

FAQPage Schema
How do I generate JSON-LD structured data for AI discoverability?

JSON-LD structured data helps AI search engines understand your website content by clearly defining entities. This skill audits your site, detects missing or incomplete markup, and generates optimized Schema.org JSON-LD to ensure your content is accurately recognized and cited by AI platforms.

How does the `sameAs` property work for entity recognition in Schema.org?

The `sameAs` property links your website entities like Organization or Person to their corresponding profiles across external platforms. This robust entity linking helps AI search engines confidently verify identity, connect disparate data points, and improve overall AI discoverability.

Can I validate existing microdata and RDFa on my webpage for AI search engines?

Yes, you can validate existing microdata and RDFa on your webpage for AI search engines. This skill detects and validates current structured data formats, identifies deprecated schemas, and recommends updates to ensure optimal AI processing and server-rendered output.

What is the best way to audit a website for deprecated Schema.org markup?

The best way to audit a website for deprecated Schema.org markup is to scan the page for existing structured data and validate it against current standards. This skill identifies deprecated schemas and generates updated JSON-LD to maintain robust entity recognition and AI discoverability.

Why does structured data need to be server-rendered for AI processing?

Structured data needs to be server-rendered for AI processing because AI crawlers often do not execute client-side JavaScript. This skill ensures your Schema.org JSON-LD is server-rendered, allowing AI search engines to immediately parse entity information and improving citation probability.