A powerful tool to generate and validate Schema.org JSON-LD markup that helps AI engines better understand and cite your brand content.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install geo-schema-gen
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install geo-schema-gen using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Schema Markup Generator (geo-schema-gen)?
The geo-schema-gen skill is a specialized tool designed to bridge the gap between human-readable content and AI-understandable data. Based on the methodology by GEOly AI, this skill recognizes that structured data is the primary language AI uses to categorize your brand. By utilizing Openclaw Skills to implement precise Schema.org markup, developers and marketers can ensure that LLMs and search engines correctly identify entity types, authorship, and content freshness.
This skill automates the complex process of creating JSON-LD, providing a scalable way to implement Generative Engine Optimization (GEO). Whether you are managing a single landing page or a massive e-commerce catalog, geo-schema-gen ensures your metadata is syntactically correct and optimized for rich snippets and AI citations.
Schema Markup Generator (geo-schema-gen) Use Cases
- Establishing brand authority and entity relationships with Organization and LocalBusiness schema.
- Powering AI-driven Q&A answers by implementing FAQPage structured data on support pages.
- Enhancing content citability for blogs and news outlets using Article and BlogPosting markup.
- Enabling rich shopping results and product citations through automated Product and Offer schema generation.
- Streamlining site-wide metadata updates by batch generating schemas from a sitemap.xml file.
How Schema Markup Generator (geo-schema-gen) Works
- The user specifies a Schema.org type such as Organization, FAQPage, or Product to begin the generation process.
- Data is ingested through interactive prompts, direct URL extraction, or local JSON input files.
- The skill processes the input to construct a complete, properly nested JSON-LD structure following Schema.org standards.
- A validation step checks the output for required fields, valid types, and Google Rich Results eligibility.
- The final markup is exported in the user's preferred format, such as JSON-LD, raw JSON, or a complete HTML script tag ready for the head section.
Schema Markup Generator (geo-schema-gen) Setup
To begin using this skill within your Openclaw Skills environment, ensure you have Python installed and the repository cloned. You can trigger the generator using various methods:
# Generate schema interactively for a brand
python scripts/generate_schema.py --type Organization --interactive
# Extract metadata from an existing URL to create an Article schema
python scripts/generate_schema.py --type Article --url https://example.com/blog-post
# Validate a generated schema file
python scripts/validate_schema.py schema.json
Schema Markup Generator (geo-schema-gen) Data Schema & Taxonomy
The skill organizes data into structured JSON-LD objects. The following table describes the primary metadata taxonomy used during generation:
| Property | Description | Example |
|---|---|---|
| @context | Defines the vocabulary used | https://schema.org |
| @type | Specifies the entity type | Organization, Product, etc. |
| name | The official name of the entity | Openclaw |
| url | The canonical URL for the item | https://openclaw.example |
| sameAs | Social media or reference links | https://twitter.com/brand |
All generated files follow strict JSON-LD syntax, making them compatible with all major search engines and AI crawlers.
Schema Markup Generator (geo-schema-gen) Advanced Features
- Support for multiple schema types on a single page by combining entities into an array.
- Nested entity generation, allowing for complex structures like Products with integrated Offers and Reviews.
- Automated batch generation which can crawl a sitemap.xml to create schemas for an entire domain at once.
- Custom property injection for advanced users who need to include niche Schema.org fields not covered by the standard generator.
- Built-in validation logic to ensure every output meets Google's latest rich results requirements.
SKILL.md
Loading
Related Openclaw Skills
GEO Report Builder
An automated reporting engine that transforms raw metrics into comprehensive Generative Engine Optimization (GEO) performance reports and strategic insights.
GEO Prompt Researcher
A professional framework for researching, scoring, and clustering natural language prompts to optimize brand visibility in AI search engines.
GEO Multimodal Tagger
An automated utility to generate AI-optimized Alt Text, filenames, and Schema markup for images, videos, and audio assets.
GEO LLMS.txt Builder
A specialized tool for generating and validating structured llms.txt files to ensure your content is accurately indexed and cited by AI search engines and agents.
Brand Sentiment Optimizer
A specialized tool for auditing and optimizing brand content to improve how AI platforms and generative search engines portray your brand sentiment.
GEO Site Readiness Audit
A comprehensive 29-point diagnostic tool designed to evaluate and improve a website's visibility and citability across generative AI search engines.
METADATA
Featured*
