geo-schema-generator

Generate Schema.org JSON-LD markup with entity detection and quality scoring for websites and pages.

1|Updated Mar 6, 2026
One-click install
npx skills add https://github.com/kernex-dev/kernex-agent --skill geo-schema-generator
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: geo-schema-generator
Source: https://github.com/kernex-dev/kernex-agent/tree/main/deploy/skills/geo-schema-generator
Command: npx skills add https://github.com/kernex-dev/kernex-agent --skill geo-schema-generator

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Many websites and pages lack complete, deployable Schema.org structured data, which reduces visibility to AI engines and lowers GEO scoring. This Skill produces fully populated, production-ready JSON-LD tailored to the detected entity type so sites gain consistent AI-level visibility and higher schema quality scores.

Core Features & Use Cases

  • Entity detection: Automatically map site type to the appropriate primary and secondary schema types (e.g., SoftwareApplication + Organization, Product + Organization).
  • Complete JSON-LD generation: Populate required fields (@context, @type, name, description, url) and high-value optional fields, using real values from provided context and absolute image URLs.
  • Quality scoring & guidance: Score schema completeness against the GEO model, list missing fields by impact, and provide copy-paste deployment instructions for common frameworks and CMSs.
  • Use Case: Add deployable schema to a SaaS homepage, improve product pages with Product schema, or convert an FAQ into an FAQPage JSON-LD to unlock AI overview visibility.

Quick Start

Provide the site name, primary URL, a short description, and any images or social links and ask for a complete, head-ready JSON-LD plus a quality score.

Frequently Asked Questions about geo-schema-generator

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

FAQPage Schema
How do I generate Schema.org JSON-LD for a SaaS homepage?

Schema.org JSON-LD is a structured data format that helps AI engines understand page content. It maps entities like products or articles to schema types, improving GEO scoring and visibility by providing explicit context to crawlers.

How do I add structured data to a local business or FAQ page?

Provide your page context and the tool maps it to LocalBusiness or FAQPage schema types. It extracts attributes, enforces absolute image URLs, and generates complete JSON-LD markup ready for deployment.

Can I generate multi-type structured data for an e-commerce product page?

Yes, multi-type structured data is supported for e-commerce pages. The generator maps product pages to combined schemas like Product and Organization, extracting attributes and populating required fields with real values from your provided context.

What is the best way to validate JSON-LD markup against GEO scoring models?

The best way to validate JSON-LD against GEO scoring is to generate the markup with the built-in quality scoring feature. It scores schema completeness, lists missing fields by impact, and provides deployment guidance for your CMS.

Does generated JSON-LD work with common CMS and web frameworks?

Yes, generated JSON-LD works with common CMS and web frameworks. The tool provides copy-paste deployment instructions and outputs head-ready JSON-LD artifacts that can be inserted directly into your site's HTML head section.

Why does my structured data fail AI engine visibility checks?

Structured data fails AI visibility checks when it lacks complete required fields or uses relative image URLs. The generator enforces absolute URLs, populates high-value optional fields, and returns a quality score to identify missing attributes.