A technical utility that transforms unstructured text into highly structured, AI-readable formats to maximize visibility in generative search engine results.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install geo-structured-writer
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install geo-structured-writer using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The GEO Structured Writer is a specialized tool designed to implement Generative Engine Optimization (GEO) principles directly into your content workflow. By applying a 6-layer structure stack, it ensures that your articles, documentation, and web pages are organized in a way that AI models and search agents can easily parse, understand, and cite. This Openclaw Skills integration focuses on moving away from dense, narrative-heavy text toward modular, structured components like definition blocks and data tables.
Developed using methodologies by GEOly AI, this skill prioritizes the directness and clarity required for modern AI search engines. It addresses the fundamental shift from traditional keyword-based SEO to entity-based GEO, making your content more authoritative for platforms like ChatGPT, Perplexity, and Gemini.
To use this tool within your environment, ensure you have the necessary script access and run the following command in your terminal:
python scripts/structure_content.py \
--input content.md \
--query "your target search query" \
--output optimized.md
The GEO Structured Writer generates a detailed report followed by the optimized content. The metadata includes:
| Component | Description |
|---|---|
| Content Score | A 1-10 rating comparing the original AI-readability versus the optimized version. |
| Changes Applied | A log of applied rules such as added FAQ blocks or table conversions. |
| Recommended Schema | Suggested JSON-LD types (e.g., Article, FAQPage) to further enhance discovery. |
| Restructured Content | The final GEO-optimized Markdown ready for publication. |
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