| name | geo-aeo-optimization |
| description | Optimize content for AI search engines (ChatGPT, Perplexity, Claude, Gemini) and featured snippets. Covers Generative Engine Optimization (GEO), Answer Engine Optimization (AEO), E-E-A-T signals, and content structuring for maximum AI citation probability. Use when optimizing content for AI visibility or auditing AI search readiness. |
| license | MIT |
| metadata | {"author":"Schwepps","version":"1.0.0","category":"marketing","tags":"geo, aeo, ai-search, chatgpt, perplexity, featured-snippets"} |
GEO & AEO Optimization Framework
Professional methodology for visibility in AI-powered search engines and generative AI responses.
Understanding GEO vs AEO vs SEO
SEO → Rank in traditional search results (blue links)
AEO → Appear in featured snippets, AI Overviews, voice answers
GEO → Get cited in generative AI responses (ChatGPT, Claude, Perplexity)
2025 Reality:
- 58% of queries are conversational
- AI Overviews appear in ~47% of Google searches
- Traditional CTR dropped 34.5% for top results due to AI answers
- These strategies are complementary, not competing
When to Use This Skill
- Optimizing content for AI search engines
- Improving featured snippet capture rate
- Auditing AI citation readiness
- Restructuring content for AI extractability
- Implementing E-E-A-T signals
- Preparing for voice search
The Triple-Threat Framework
1. E-E-A-T Foundation (Required for All)
AI systems prioritize trusted, authoritative sources:
Experience → First-hand knowledge, case studies, original research
Expertise → Credentials, depth of knowledge, technical accuracy
Authority → Citations, backlinks, mentions, brand recognition
Trustworthiness → Accuracy, transparency, clear sourcing
Implementation Checklist:
□ Author bio with credentials on every article
□ Link to authoritative sources
□ Include original data/research
□ Show methodology and sources
□ Update content regularly with visible dates
□ Display contact information
□ Include editorial guidelines
2. AEO: Featured Snippets & AI Overviews
Lead with the Answer:
- First 40-60 words should directly answer the query
- Use question-format H2 headers
- Provide concise, extractable definitions
Content Structure for AEO:
## What is [Topic]?
[Direct answer in 1-2 sentences that can be extracted as a snippet]
[Supporting details and context follow]
Snippet-Optimized Formats:
| Query Type | Best Format |
|---|
| "What is X?" | Definition paragraph (40-60 words) |
| "How to X" | Numbered steps (5-8 steps) |
| "Best X" | Bulleted list with brief descriptions |
| "X vs Y" | Comparison table |
| "Why X?" | Direct answer + explanation |
3. GEO: AI Citation Optimization
The CRASP Framework:
C - Clarity → Unambiguous statements AI can quote
R - Relevance → Match conversational query intent
A - Authority → Cited sources, expert credentials
S - Structure → Scannable, extractable format
P - Precision → Specific facts, numbers, dates
High-Citation Content Elements:
- TL;DR blocks at the top
- Statistics with sources ("According to [Source], X increased by Y%")
- Expert quotes with attribution
- Definition lists for key terms
- Comparison tables with clear data
- FAQ sections with complete answers
Content Structure Template
# [H1: Primary Question or Topic]
**TL;DR:** [2-3 sentence summary with key facts]
## What is [Topic]? {#definition}
[Direct definition in 40-60 words - optimized for extraction]
[Expanded explanation with context]
## How [Topic] Works {#how-it-works}
[Step-by-step explanation]
1. **Step One**: [Description]
2. **Step Two**: [Description]
3. **Step Three**: [Description]
## Key Statistics
| Metric | Value | Source |
|--------|-------|--------|
| [Stat 1] | [Value] | [Source, Year] |
| [Stat 2] | [Value] | [Source, Year] |
## [Topic] vs [Alternative]
| Factor | [Topic] | [Alternative] |
|--------|---------|---------------|
| [Factor 1] | [Value] | [Value] |
| [Factor 2] | [Value] | [Value] |
## Frequently Asked Questions
### [Question 1]?
[Complete, standalone answer - 50-100 words]
### [Question 2]?
[Complete, standalone answer - 50-100 words]
## Expert Insights
> "[Quotable statement with specific insight]"
> — [Expert Name], [Title], [Organization]
---
*Last updated: [Date] | Author: [Name], [Credentials]*
Fact-Density Checklist
Extractability:
□ TL;DR or summary present at top
□ Paragraphs <120 words each
□ Clear topic sentences (first sentence = main point)
□ Bullet lists for features/benefits
□ Tables for comparisons
□ FAQ section with schema
Fact-Density:
□ Statistics with sources cited
□ Specific numbers and dates
□ Verifiable data points
□ Expert quotes with attribution
□ Original research/data
□ Named entities (people, companies, places)
Structure for AI:
□ Question-based H2 headers
□ Direct answers in first 40-60 words
□ Logical information hierarchy
□ Schema markup (FAQPage, HowTo, Article)
AI Crawler Configuration
robots.txt for AI Search Visibility:
# ALLOW search/chat features
User-agent: OAI-SearchBot
Allow: /
User-agent: ChatGPT-User
Allow: /
User-agent: PerplexityBot
Allow: /
User-agent: ClaudeBot
Allow: /
# OPTIONAL: Block training (keeps search)
User-agent: GPTBot
Disallow: /
User-agent: Google-Extended
Disallow: /
Critical: Ensure server-side rendering. AI crawlers often don't execute JavaScript well.
Schema Markup for AI
Priority Schema Types:
- FAQPage - Highest AI citation impact
- HowTo - Step-by-step visibility
- Article + Author - E-E-A-T signals
- Organization - Brand authority
FAQPage Example:
{
"@context": "https://schema.org",
"@type": "FAQPage",
"mainEntity": [{
"@type": "Question",
"name": "What is [topic]?",
"acceptedAnswer": {
"@type": "Answer",
"text": "[Complete answer that can be extracted]"
}
}]
}
Output Format
# GEO/AEO Audit Report
**Page:** [URL]
**Date:** [Date]
**Overall Score:** X/100
## Executive Summary
[2-3 sentence AI search readiness assessment]
## Scores by Category
| Category | Score | Status |
|----------|-------|--------|
| E-E-A-T Signals | X/25 | [Good/Needs Work/Critical] |
| Content Structure | X/20 | [Good/Needs Work/Critical] |
| Fact-Density | X/20 | [Good/Needs Work/Critical] |
| Extractability | X/20 | [Good/Needs Work/Critical] |
| AI Technical Readiness | X/15 | [Good/Needs Work/Critical] |
## Priority Issues
1. **[Issue]** - [Impact] - [Fix]
2. **[Issue]** - [Impact] - [Fix]
3. **[Issue]** - [Impact] - [Fix]
## AI Visibility Assessment
[Current citation probability and gaps]
## Action Plan
**Immediate:**
- [ ] Add TL;DR to top articles
- [ ] Implement FAQ schema
**Short-term:**
- [ ] Restructure headers as questions
- [ ] Add author credentials
**Ongoing:**
- [ ] Monitor AI platform citations
- [ ] Update content freshness
Quick Audit (5-Point Check)
- TL;DR - Summary present at top?
- Structure - Question-based headers?
- Facts - Statistics with sources?
- E-E-A-T - Author credentials visible?
- Schema - FAQPage/HowTo markup?
Scoring Guide
- 90-100: Excellent - High AI citation probability
- 70-89: Good - Likely cited with minor improvements
- 50-69: Needs Work - Significant optimization needed
- Below 50: Critical - Major restructuring required
