Llm Optimized Content
This is for when you need content that AI search tools will actually cite, not just rank. It teaches GEO (Generative Engine Optimization) principles: answer first architecture, semantic clarity over keyword stuffing, citation-friendly formatting with tables and bullet lists, and E-E-A-T signals that make LLMs trust your content enough to quote it. The approach is practical, with concrete before/after examples and a full article template. Useful if you're seeing traffic drop from traditional search or need to show up in ChatGPT and Perplexity responses. The 2000-3000 word sweet spot recommendation and question-first structuring are backed by actual usage patterns, not guesswork.
- skills.sh installs
- 222
- GitHub stars
- 150
- last updated
- Aug 21, 2026
Install
$ npx -y skills add guia-matthieu/clawfu-skills --skill llm-optimized-content --agent claude-codeInstalls into .claude/skills of the current project.
Files
LLM-Optimized Content & GEO
Create content optimized for AI-powered search using Generative Engine Optimization (GEO) principles.
Purpose
Create content optimized for both traditional search engines AND AI/LLM-powered search (ChatGPT, Perplexity, Google AI Overviews, Claude) using Generative Engine Optimization (GEO) principles.
What is GEO?
Generative Engine Optimization = Practices to ensure AI models:
- UNDERSTAND your content
- Judge it RELEVANT and RELIABLE
- USE it to formulate direct responses
Strategic Importance: Gartner predicts 25% drop in traditional search volume by 2026. Queries now average 23 words (vs. 4 before).
SEO vs GEO: Critical Difference
Sponsors
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- Repository
- github.com/guia-matthieu/clawfu-skills
- Categories
- AI & Agent Building, Marketing & SEO
- First seen
- Jun 3, 2026
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