llm-optimized-content
Acerca de
Esta Skill de Claude optimiza contenido para motores de búsqueda de IA como ChatGPT y Perplexity utilizando los principios de Optimización para Motores Generativos (GEO). Garantiza que los modelos de IA comprendan, consideren confiable y citen directamente tu contenido en sus respuestas. Úsala cuando el SEO tradicional sea insuficiente y necesites prepararte para los resultados de búsqueda de "cero clics" impulsados por IA.
Instalación rápida
Claude Code
Recomendadonpx skills add guia-matthieu/clawfu-skills -a claude-code/plugin add https://github.com/guia-matthieu/clawfu-skillsgit clone https://github.com/guia-matthieu/clawfu-skills.git ~/.claude/skills/llm-optimized-contentCopia y pega este comando en Claude Code para instalar esta habilidad
Documentación
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
❌ "Our SEO GEO optimization ranking solution"
✅ "GEO (Generative Engine Optimization) optimizes content so AI like
ChatGPT cites your brand in their responses."
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:
## [Question]
[Direct answer in 1-2 sentences]
[Detailed development]
[Concrete examples]
[Conclusion/Action]
Example:
## What is ethical copywriting?
Ethical copywriting is a persuasive writing approach that excludes
manipulation and is founded on transparency, honesty, and respect
for the prospect.
[Details follow...]
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
✅ "## How to create a landing page that converts?"
❌ "## The secret marketers don't want you to know"
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:
"According to a [University X] study published in [year]..."
"Based on our analysis of [X] clients over [period]..."
"Source: [URL of official document]"
"Last updated: [date]"
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:
1. Intro with direct answer (100-150 words)
2. Definition/Context (200-300 words)
3. In-depth development (1500-2000 words)
- Subsections with H2/H3
- Concrete examples
- Tables/lists
4. Case studies/Proof (300-500 words)
5. Actionable conclusion (100-150 words)
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
❌ "That's 37% more."
✅ "Ethical copywriting increases conversion rates by 37% on average
compared to manipulative approaches."
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
# [H1: Clear Title with Primary Topic]
[Opening paragraph with direct answer to main query]
## Quick Summary
- **What:** [One-line definition]
- **Why it matters:** [Key benefit/importance]
- **Key takeaway:** [Main action or insight]
## Table of Contents
[For posts >1500 words]
## [H2: First Major Section]
[Direct answer/definition first, then elaboration]
### [H3: Supporting Detail]
[Expand with examples, data, explanations]
## [H2: How to [Action]]
1. **Step 1:** [Clear instruction]
- [Supporting detail]
2. **Step 2:** [Clear instruction]
- [Supporting detail]
## [H2: Comparison Section] (if applicable)
| Aspect | Option A | Option B |
|--------|----------|----------|
| [Criteria] | [Value] | [Value] |
## Key Takeaways
- [Bullet summary 1]
- [Bullet summary 2]
- [Bullet summary 3]
## Frequently Asked Questions
### [Natural language question]?
[2-3 sentence direct answer]
### [Natural language question]?
[2-3 sentence direct answer]
## Conclusion
[Summary + clear call to action]
---
*Last updated: [Date]*
*Sources: [Citations]*
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
name: llm-optimized-content
category: seo-tools
subcategory: geo
version: 2.0
author: GUIA
source_expert: GEO Framework (Gartner, industry research)
difficulty: intermediate
mode: cyborg
tags: [geo, seo, llm, ai-search, content, perplexity, chatgpt]
created: 2026-01-28
updated: 2026-02-03
Repositorio GitHub
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