geo-schema

Audit, validate, and generate Schema.org JSON-LD structured data.

Updated Feb 27, 2026
One-click install
npx skills add https://github.com/rajains234-netizen/GEO --skill geo-schema
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: geo-schema
Source: https://github.com/rajains234-netizen/GEO/tree/main/skills/geo-schema
Command: npx skills add https://github.com/rajains234-netizen/GEO --skill geo-schema

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill ensures your entity's structured data is perfectly optimized for AI understanding and discoverability, boosting your online presence and trust signals.

Core Features & Use Cases

  • Audit & Validate: Checks existing JSON-LD, Microdata, and RDFa against Schema.org standards.
  • Generate JSON-LD: Creates missing or incomplete structured data, including critical Organization, Person, Article, and Product schemas.
  • Entity Graph Building: Focuses on the sameAs property to link your entity across all online platforms, a crucial signal for AI.
  • Use Case: A SaaS company wants to ensure AI search engines understand its product and services accurately. This Skill audits their current schema, identifies missing sameAs links to their LinkedIn and GitHub profiles, and generates the necessary JSON-LD to improve their AI discoverability.

Quick Start

Use the geo-schema skill to audit the structured data on the provided URL and generate a report.

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 to improve AI discoverability?

To generate JSON-LD for AI discoverability, you need structured data that accurately defines your entities. This skill audits your URLs and automatically generates missing Organization, Person, Article, and Product schemas to enhance AI entity recognition.

What is the sameAs property used for in Schema.org structured data?

The sameAs property in Schema.org is used to link your entity across all online platforms. Building this entity graph with sameAs connections provides a crucial signal for AI systems to accurately recognize and understand your online presence.

How do I validate existing JSON-LD and Microdata against Schema.org standards?

You can validate JSON-LD, Microdata, and RDFa against Schema.org standards by running an audit. This skill checks your existing structured data for compliance and generates a comprehensive GEO-SCHEMA-REPORT.md detailing any errors or missing properties.

Does AI search engine optimization require specific Schema.org schemas?

AI search engine optimization relies heavily on specific Schema.org schemas like Organization, Person, Article, and Product. Structuring your data with these schemas ensures AI systems can accurately parse your services and build trust signals for your entity.

How do I fix missing sameAs links in my structured data audit?

To fix missing sameAs links in your structured data audit, you must connect your entity profiles like LinkedIn and GitHub. This skill identifies missing sameAs connections during the audit and generates the necessary JSON-LD to complete your entity graph.

Can I use Schema.org structured data to help AI understand my SaaS product?

You can use Schema.org structured data to help AI understand your SaaS product by implementing Product and Organization schemas. This skill audits your current setup and generates optimized JSON-LD so AI search engines accurately interpret your services.