guia-matthieu/clawfu-skills/llm-optimized-content
Claude Code and agent skill by guia-matthieu/clawfu-skills
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Use when creating content that must be discoverable by AI search engines (ChatGPT, Perplexity, Gemini). Use when SEO alone isn't enough, when you need AI citations, or when optimizing for the "zero-click" future.
Install
npx vskill@latest install guia-matthieu/clawfu-skills/llm-optimized-contentSKILL.md
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
| Criteria | SEO (Traditional) | GEO (New Frontier) | |
|---|---|---|---|
| Objective | Rank page on Google SERP | Become the SOURCE in AI response | |
| Metric | Position on results page | Mention/citation in generated response | |
| Mechanic | Links, backlinks, domain authority | Language, semantics, contextual relevance | |
| User Result | Click to your site | Info consumed without click | |
| Optimization | Keywords, tags, structure | Semantic clarity, E-E-A-T, direct answers |
GEO Optimization Strategies
1. Semantic Clarity & Relevance
Principle: AI must understand CONTEXT, not just keywords.
Actions:
- Dense in MEANING, not just keywords
- Natural vocabulary, no keyword stuffing
- Clear context in first 1-2 sentences
- Define technical terms at first appearance
2. Direct Answers (Answer-First)
Principle: Provide key answer at the BEGINNING, not the end.
Actions:
- Main answer in 1st paragraph
- Format: "Question → Immediate answer → Development"
- No "teasing" (saving answer for later)
Optimal Structure:
Example:
3. AI-Parser Optimized Structure
Principle: AI favors content that's easy to analyze ("parse").
Headers (H1-H6)
- Descriptive and informative (not clickbait)
- Strict logical hierarchy
- Contain keywords naturally
Bullet Lists
- For enumerations, steps, comparisons
- Preferred over long paragraphs
- Start each item with strong keyword
Tables
- For comparisons, specifications, data
- Clear, descriptive headers
- Concise cells
Question-Answer Format (FAQ)
- H3 structure for questions
- Immediate answer after
- Ideal for featured snippets AND GEO
4. E-E-A-T: Credibility for AI
E-E-A-T = Expertise + Experience + Authority + Trustworthiness
Expertise
- Demonstrate deep knowledge
- Use precise domain terminology
- Reference research/studies
Experience
- First-hand concrete examples
- Real case studies
- Measurable results obtained
Authority
- Author bio with credentials
- Citations by recognized experts
- Publications in reference media
- Certifications, awards
Trustworthiness
- Cited and dated sources
- Transparency about limits/biases
- Accessible contact and legal notices
- HTTPS, professional design
Concrete Signals to Integrate:
5. Optimal Length & Depth
Data:
- Articles 2000-3000 words = sweet spot for GEO
- But: Quality > Quantity
- Depth on ONE subject > Overview of several
Ideal GEO Article Structure:
6. Freshness & Updates
Principle: AI favors RECENT information.
Actions:
- Explicitly date content
- Mention "updated on [date]"
- Recent statistics (< 2 years)
- References to relevant current events
7. Citation-Friendly Format
Principle: Facilitate extraction and citation by AI.
Techniques:
- Autonomous sentences (understandable alone)
- Statistics with immediate context
- Clear, concise definitions
GEO by Content Type
Blog Articles
- Title = Natural question
- Answer in meta description AND 1st paragraph
- H2 subtitles = Secondary questions
- FAQ at end of article
Product/Service Pages
- Main benefit in H1 (visualizable + falsifiable)
- Technical specs in table
- Concrete use cases (storytelling)
- Testimonials with context
Landing Pages
- Clear value proposition in hero
- Sections with descriptive H2s
- Measurable social proof
- FAQ for common objections
Content Structure Template
Common Question Patterns to Answer
For any topic, consider addressing:
- What is [topic]? → Clear definition
- How does [topic] work? → Process explanation
- Why is [topic] important? → Benefits/significance
- How to [action with topic]? → Step-by-step guide
- [Topic] vs [alternative]? → Comparison
- Best [topic] for [use case]? → Recommendations
- How much does [topic] cost? → Pricing/investment
- How long does [topic] take? → Timeline expectations
GEO Checklist
Structure
- [ ] Descriptive title (not clickbait)
- [ ] Direct answer in first 150 words
- [ ] Informative H2/H3 headers
- [ ] Bullet lists for key points
- [ ] Table for comparisons/data
Content
- [ ] Dense in meaning (clear context)
- [ ] Autonomous citable sentences
- [ ] Statistics with context
- [ ] Definitions at first mention
- [ ] Concrete examples
Credibility (E-E-A-T)
- [ ] Cited and dated sources
- [ ] Author bio with expertise
- [ ] First-hand examples
- [ ] Visible publication/update date
Length
- [ ] 2000-3000 words for main subject
- [ ] Depth > Overview
- [ ] Each section developed
Technical
- [ ] Descriptive URL
- [ ] Meta description = direct answer
- [ ] Schema markup (if applicable)
- [ ] Images with descriptive alt text
Writing for 3 Audiences
Simultaneously optimize for:
- Human → Persuasion, engagement, emotional connection
- Ranking Algorithm (SEO) → Keywords, links, structure
- Generation Algorithm (GEO) → Semantic clarity, E-E-A-T, direct answers
Errors to Avoid
❌ Keyword stuffing → AI detects and devalues ❌ Clickbait headlines → AI seeks descriptive info ❌ Superficial content → AI prefers depth ❌ Absence of sources → Trustworthiness questioned ❌ Unexplained jargon → Missing context ❌ Buried answers → AI scans the beginning
What Claude Does vs What You Decide
| Claude handles | You provide | |
|---|---|---|
| Applying GEO structure and formatting | Topic expertise and unique insights | |
| Creating FAQ sections from content | Validation of accuracy | |
| Optimizing for semantic clarity | E-E-A-T signals (credentials, experience) | |
| Suggesting citable sentence structures | Source verification and dates | |
| Generating comparison tables | Strategic decisions on positioning |
Skill Boundaries
This skill excels for:
- Blog articles and long-form content
- Product/service pages
- FAQ and knowledge base content
- Landing pages with informational elements
This skill is NOT ideal for:
- Pure conversion copy → Use copywriting skills
- Technical documentation → Structure matters more than GEO
- Internal communications → No AI discoverability needed
Iteration Guide
| Pass | Focus | Action | |
|---|---|---|---|
| 1st | Structure | Apply GEO template, answer-first format | |
| 2nd | E-E-A-T | Add citations, credentials, dates | |
| 3rd | Citability | Make sentences autonomous and extractable | |
| 4th | Checklist | Run GEO checklist to verify all elements |
Skill Metadata
Security
- Security scanPassed, 100 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/seo-tools/llm-optimized-content/SKILL.md
Popularity
- Repository stars
- 150
- Repository forks
- 28
- 7-day trend score
- 25
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
Works with
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