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llm-optimized-content

guia-matthieu
업데이트됨 2 days ago
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메타ai

정보

이 Claude Skill은 생성형 엔진 최적화(GEO) 원리를 활용해 ChatGPT와 Perplexity 같은 AI 검색 엔진에 맞게 콘텐츠를 최적화합니다. AI 모델이 사용자의 콘텐츠를 이해하고 신뢰할 수 있으며, 응답에서 직접 인용하도록 보장합니다. 기존 SEO로는 부족하고 AI 기반 '제로 클릭' 검색 결과에 대비해야 할 때 사용하세요.

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Claude Code

추천
기본
npx skills add guia-matthieu/clawfu-skills -a claude-code
플러그인 명령대체
/plugin add https://github.com/guia-matthieu/clawfu-skills
Git 클론대체
git clone https://github.com/guia-matthieu/clawfu-skills.git ~/.claude/skills/llm-optimized-content

Claude Code에서 이 명령을 복사하여 붙여넣어 스킬을 설치하세요

문서

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:

  1. UNDERSTAND your content
  2. Judge it RELEVANT and RELIABLE
  3. 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

CriteriaSEO (Traditional)GEO (New Frontier)
ObjectiveRank page on Google SERPBecome the SOURCE in AI response
MetricPosition on results pageMention/citation in generated response
MechanicLinks, backlinks, domain authorityLanguage, semantics, contextual relevance
User ResultClick to your siteInfo consumed without click
OptimizationKeywords, tags, structureSemantic 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:

  1. Human → Persuasion, engagement, emotional connection
  2. Ranking Algorithm (SEO) → Keywords, links, structure
  3. 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 handlesYou provide
Applying GEO structure and formattingTopic expertise and unique insights
Creating FAQ sections from contentValidation of accuracy
Optimizing for semantic clarityE-E-A-T signals (credentials, experience)
Suggesting citable sentence structuresSource verification and dates
Generating comparison tablesStrategic 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

PassFocusAction
1stStructureApply GEO template, answer-first format
2ndE-E-A-TAdd citations, credentials, dates
3rdCitabilityMake sentences autonomous and extractable
4thChecklistRun 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

GitHub 저장소

guia-matthieu/clawfu-skills
경로: skills/seo-tools/llm-optimized-content
0
ai-skillsanthropicclaude-codeclaude-skillsmarketingmcp-server

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