---
name: "GEO AEO optimization"
repo: https://github.com/schwepps/skills
source: https://github.com/schwepps/skills/blob/HEAD/geo-aeo-optimization/SKILL.md
license: "MIT"
install: "npx skills add schwepps/skills --skill geo-aeo-optimization"
page: https://100xlab.com/resources/agent-skills/schwepps-skills--geo-aeo-optimization--1m4gjhs
---

# 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:**
```markdown
## 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:**
1. **TL;DR blocks** at the top
2. **Statistics with sources** ("According to [Source], X increased by Y%")
3. **Expert quotes with attribution**
4. **Definition lists** for key terms
5. **Comparison tables** with clear data
6. **FAQ sections** with complete answers

## Content Structure Template

```markdown
# [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:**
1. **FAQPage** - Highest AI citation impact
2. **HowTo** - Step-by-step visibility
3. **Article + Author** - E-E-A-T signals
4. **Organization** - Brand authority

**FAQPage Example:**
```json
{
  "@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

```markdown
# 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)

1. **TL;DR** - Summary present at top?
2. **Structure** - Question-based headers?
3. **Facts** - Statistics with sources?
4. **E-E-A-T** - Author credentials visible?
5. **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

---

## Supporting file: references/ai-crawlers.md

# AI Crawlers & Bot Management Guide

## Table of Contents
1. [AI Crawler Overview](#ai-crawler-overview)
2. [robots.txt Configuration](#robotstxt-configuration)
3. [Crawler Characteristics](#crawler-characteristics)
4. [Strategic Decisions](#strategic-decisions)
5. [Implementation Guide](#implementation-guide)

---

## AI Crawler Overview

### Major AI Crawlers (2025)

| Crawler | Company | Purpose | Recommendation |
|---------|---------|---------|----------------|
| GPTBot | OpenAI | Training data | Block if concerned about training |
| OAI-SearchBot | OpenAI | ChatGPT Search | Allow for AI search visibility |
| ChatGPT-User | OpenAI | User-requested fetching | Allow for user experience |
| Google-Extended | Google | Gemini training | Block if concerned, Allow for AI Search |
| Googlebot | Google | Search indexing | Always Allow |
| PerplexityBot | Perplexity | Search & answers | Allow for visibility |
| ClaudeBot | Anthropic | Claude features | Allow for visibility |
| Bytespider | ByteDance | TikTok/Training | Consider blocking |
| CCBot | Common Crawl | Dataset collection | Consider blocking |
| FacebookBot | Meta | AI training | Consider blocking |

### Key Distinction: Search vs Training

```
SEARCH CRAWLERS (Allow for visibility):
├── Googlebot          → Traditional search
├── OAI-SearchBot      → ChatGPT Search results
├── ChatGPT-User       → User asks ChatGPT to read a page
├── PerplexityBot      → Perplexity answers
└── ClaudeBot          → Claude features

TRAINING CRAWLERS (Block if data protection matters):
├── GPTBot             → OpenAI model training
├── Google-Extended    → Gemini training
├── CCBot              → Common Crawl datasets
├── Bytespider         → ByteDance training
└── FacebookBot        → Meta AI training
```

---

## robots.txt Configuration

### Recommended Configuration (Balanced)

```txt
# ===========================================
# AI SEARCH CRAWLERS - ALLOW
# ===========================================

# OpenAI Search (ChatGPT Search feature)
User-agent: OAI-SearchBot
Allow: /

# ChatGPT when users ask it to read a page
User-agent: ChatGPT-User
Allow: /

# Perplexity AI search
User-agent: PerplexityBot
Allow: /

# Claude AI
User-agent: ClaudeBot
Allow: /

# ===========================================
# AI TRAINING CRAWLERS - BLOCK
# ===========================================

# OpenAI training (not search)
User-agent: GPTBot
Disallow: /

# Google Gemini training
User-agent: Google-Extended
Disallow: /

# Common Crawl
User-agent: CCBot
Disallow: /

# ByteDance
User-agent: Bytespider
Disallow: /

# Meta AI training
User-agent: FacebookBot
Disallow: /

# ===========================================
# TRADITIONAL SEARCH - ALLOW
# ===========================================

User-agent: Googlebot
Allow: /

User-agent: Bingbot
Allow: /

User-agent: *
Allow: /

Sitemap: https://example.com/sitemap.xml
```

### Maximum Visibility Configuration

```txt
# Allow all AI crawlers for maximum reach
User-agent: *
Allow: /

Sitemap: https://example.com/sitemap.xml
```

### Maximum Protection Configuration

```txt
# Block all AI crawlers except traditional search
User-agent: Googlebot
Allow: /

User-agent: Bingbot
Allow: /

User-agent: GPTBot
Disallow: /

User-agent: OAI-SearchBot
Disallow: /

User-agent: ChatGPT-User
Disallow: /

User-agent: Google-Extended
Disallow: /

User-agent: PerplexityBot
Disallow: /

User-agent: ClaudeBot
Disallow: /

User-agent: CCBot
Disallow: /

User-agent: *
Disallow: /
```

---

## Crawler Characteristics

### Crawl Behavior Comparison

| Crawler | Respects robots.txt | Crawl Rate | JavaScript Rendering |
|---------|---------------------|------------|---------------------|
| Googlebot | Yes | Adaptive | Yes (2nd wave) |
| GPTBot | Yes | Unknown | Limited |
| OAI-SearchBot | Yes | Unknown | Limited |
| PerplexityBot | Yes | Moderate | Limited |
| ClaudeBot | Yes | Unknown | Limited |
| CCBot | Generally yes | Heavy | No |

### What AI Crawlers Index

```
Typically Indexed:
├── Main body content
├── Headers (H1-H6)
├── Meta descriptions
├── Alt text
├── Structured data (JSON-LD)
├── Tables
└── Lists

Often Missed:
├── JavaScript-rendered content
├── Content behind tabs/accordions
├── Lazy-loaded images
├── PDF content
├── Video transcripts (unless in HTML)
└── Content in iframes
```

---

## Strategic Decisions

### Decision Matrix

| Business Type | Strategy | Reasoning |
|---------------|----------|-----------|
| Publisher/Blog | Allow search, Block training | Maintain traffic, protect content |
| E-commerce | Allow all | Maximum product visibility |
| SaaS | Allow search, Consider training | Brand visibility, protect docs |
| Enterprise B2B | Selective allow | Control information flow |
| Personal brand | Allow all | Maximum reach |
| Research/Academic | Allow all | Citation and reach |

### Questions to Ask

1. **Is being cited by AI chatbots valuable to you?**
   - Yes → Allow search crawlers
   - No → Block all AI crawlers

2. **Are you concerned about AI training on your content?**
   - Yes → Block training crawlers (GPTBot, Google-Extended)
   - No → Allow all

3. **Do users ask AI to read your pages?**
   - Yes → Allow ChatGPT-User
   - No → Can block

4. **Is your content time-sensitive or frequently updated?**
   - Yes → Allow all search crawlers for freshness
   - No → Selective blocking okay

---

## Implementation Guide

### Step 1: Audit Current Configuration

```bash
# Check current robots.txt
curl -s https://yoursite.com/robots.txt

# Test specific bot access
curl -A "GPTBot" -I https://yoursite.com/
curl -A "OAI-SearchBot" -I https://yoursite.com/
```

### Step 2: Monitor Crawler Activity

**In server logs, look for:**
```
User-Agent patterns:
- "GPTBot/1.0"
- "OAI-SearchBot"
- "ChatGPT-User"
- "PerplexityBot"
- "ClaudeBot"
```

**Log analysis command:**
```bash
grep -E "GPTBot|OAI-SearchBot|ChatGPT-User|PerplexityBot|ClaudeBot" access.log | \
  awk '{print $1, $7}' | sort | uniq -c | sort -rn
```

### Step 3: Implement WAF Rules (if needed)

**Cloudflare example:**
```
# Block specific bots at WAF level
(cf.client.bot and http.user_agent contains "GPTBot")
```

### Step 4: Verify Implementation

```bash
# Test that robots.txt is being served correctly
curl -s https://yoursite.com/robots.txt | grep -A2 "GPTBot"

# Verify bot can/cannot access
curl -A "GPTBot" -s -o /dev/null -w "%{http_code}" https://yoursite.com/
```

### Step 5: Monitor Impact

Track these metrics after changes:
- AI referral traffic (from Perplexity, ChatGPT, etc.)
- Brand mentions in AI responses (manual testing)
- Overall organic traffic (ensure no negative impact)

---

## Emerging Crawlers to Watch

| Bot | Company | Status | Notes |
|-----|---------|--------|-------|
| MistralBot | Mistral AI | Emerging | European AI |
| DeepSeekBot | DeepSeek | Emerging | Chinese AI |
| GrokBot | xAI | Expected | Elon Musk's AI |
| MetaAI-SearchBot | Meta | Expected | Meta AI search |

**Recommendation**: Monitor industry news and update robots.txt quarterly.

---

## Supporting file: references/content-templates.md

# GEO/AEO Content Templates

## Table of Contents
1. [Definitional Content Template](#definitional-content-template)
2. [How-To Content Template](#how-to-content-template)
3. [Comparison Content Template](#comparison-content-template)
4. [FAQ-Optimized Template](#faq-optimized-template)
5. [Product/Service Template](#productservice-template)
6. [Writing Guidelines](#writing-guidelines)

---

## Definitional Content Template

**Best for:** "What is X?" queries, concept explanations

```markdown
# What is [Topic]? [Subtitle with Context]

**TL;DR:** [Topic] is [concise 1-sentence definition]. [1-2 sentences on why it matters or key application].

## Definition

[Topic] is [expanded definition in 2-3 sentences]. [Include key characteristics].

> **Quick Definition:** [15-word definition suitable for snippet extraction]

## How [Topic] Works

[Explanation paragraph - use simple, clear language]

### Key Components

| Component | Purpose | Example |
|-----------|---------|---------|
| [Item 1] | [What it does] | [Concrete example] |
| [Item 2] | [What it does] | [Concrete example] |
| [Item 3] | [What it does] | [Concrete example] |

## Benefits of [Topic]

1. **[Benefit 1]**: [Explanation in 1-2 sentences]
2. **[Benefit 2]**: [Explanation in 1-2 sentences]
3. **[Benefit 3]**: [Explanation in 1-2 sentences]

## Common Use Cases

- **[Use case 1]**: [Brief description]
- **[Use case 2]**: [Brief description]
- **[Use case 3]**: [Brief description]

## FAQ

### What is the difference between [Topic] and [Related Topic]?
[Clear answer in 2-3 sentences]

### Who should use [Topic]?
[Clear answer identifying target audience]

### How do I get started with [Topic]?
[Actionable first steps]

## Summary

[2-3 sentence recap of key points - this is another extraction opportunity]

---
*Last updated: [Date] | Author: [Name, Credentials]*
*Sources: [List key sources for credibility]*
```

---

## How-To Content Template

**Best for:** Process queries, tutorials, step-by-step guides

```markdown
# How to [Action]: [Subtitle with Benefit]

**TL;DR:** To [action], you need to [high-level steps in 1 sentence]. This process takes approximately [time estimate] and requires [key requirements].

## Quick Overview

| | |
|---|---|
| **Time Required** | [X minutes/hours] |
| **Difficulty** | [Beginner/Intermediate/Advanced] |
| **What You'll Need** | [Key requirements] |
| **Expected Result** | [What user will achieve] |

## Before You Start

### Prerequisites
- [Requirement 1]
- [Requirement 2]
- [Requirement 3]

### Tools/Materials Needed
- [Tool 1] - [why needed]
- [Tool 2] - [why needed]

## Step-by-Step Instructions

### Step 1: [Action Verb + What]

[1-2 sentences explaining this step]

**How to do it:**
1. [Sub-step a]
2. [Sub-step b]
3. [Sub-step c]

> **Pro Tip:** [Helpful insight for this step]

### Step 2: [Action Verb + What]

[1-2 sentences explaining this step]

**How to do it:**
1. [Sub-step a]
2. [Sub-step b]

⚠️ **Warning:** [Common mistake to avoid]

### Step 3: [Action Verb + What]

[Continue pattern...]

## Troubleshooting

### [Common Problem 1]
**Cause:** [Why this happens]
**Solution:** [How to fix]

### [Common Problem 2]
**Cause:** [Why this happens]
**Solution:** [How to fix]

## FAQ

### How long does it take to [action]?
[Direct answer with context]

### What if [common concern]?
[Reassuring answer with solution]

### Can I [related question]?
[Clear yes/no with explanation]

## Summary

You've learned how to [action]. The key steps are:
1. [Step 1 summary]
2. [Step 2 summary]
3. [Step 3 summary]

---
*Last updated: [Date] | Author: [Name, Credentials]*
```

---

## Comparison Content Template

**Best for:** "X vs Y" queries, decision-making content

```markdown
# [Option A] vs [Option B]: [What You Need to Know in 2025]

**TL;DR:** [Option A] is best for [use case], while [Option B] excels at [different use case]. Choose [A] if [criteria]; choose [B] if [other criteria].

## Quick Comparison

| Feature | [Option A] | [Option B] |
|---------|------------|------------|
| **Best For** | [Primary use case] | [Primary use case] |
| **Price** | [Range] | [Range] |
| **Ease of Use** | [Rating/description] | [Rating/description] |
| **Key Strength** | [Main advantage] | [Main advantage] |
| **Key Weakness** | [Main drawback] | [Main drawback] |

## [Option A] Overview

### What is [Option A]?
[2-3 sentence definition]

### Pros
- ✅ [Advantage 1]
- ✅ [Advantage 2]
- ✅ [Advantage 3]

### Cons
- ❌ [Disadvantage 1]
- ❌ [Disadvantage 2]

### Best For
[Option A] is ideal for [specific users/situations] because [reason].

## [Option B] Overview

### What is [Option B]?
[2-3 sentence definition]

### Pros
- ✅ [Advantage 1]
- ✅ [Advantage 2]
- ✅ [Advantage 3]

### Cons
- ❌ [Disadvantage 1]
- ❌ [Disadvantage 2]

### Best For
[Option B] is ideal for [specific users/situations] because [reason].

## Detailed Comparison

### [Criteria 1]: [Option A] vs [Option B]
[Detailed comparison - 2-3 paragraphs]

**Winner:** [Option X] - [1 sentence reason]

### [Criteria 2]: [Option A] vs [Option B]
[Detailed comparison - 2-3 paragraphs]

**Winner:** [Option X] - [1 sentence reason]

### [Criteria 3]: [Option A] vs [Option B]
[Detailed comparison - 2-3 paragraphs]

**Winner:** [Option X] - [1 sentence reason]

## Which Should You Choose?

### Choose [Option A] if:
- [Condition 1]
- [Condition 2]
- [Condition 3]

### Choose [Option B] if:
- [Condition 1]
- [Condition 2]
- [Condition 3]

## FAQ

### Is [Option A] better than [Option B]?
[Nuanced answer - "it depends on..."]

### Can I use both [Option A] and [Option B]?
[Clear answer]

### What's the main difference between [A] and [B]?
[1-2 sentence core difference]

## Conclusion

**Our Recommendation:** For [most common use case], we recommend [Option X] because [key reason]. However, if [alternative scenario], [Option Y] is the better choice.

---
*Last updated: [Date] | Author: [Name, Credentials]*
*Methodology: [How comparison was conducted]*
```

---

## FAQ-Optimized Template

**Best for:** Question clusters, comprehensive topic coverage

```markdown
# [Topic]: Frequently Asked Questions

**TL;DR:** This guide answers the most common questions about [topic], including [key question areas]. Last updated [Date].

## Quick Answers

| Question | Short Answer |
|----------|--------------|
| [Question 1]? | [10-word answer] |
| [Question 2]? | [10-word answer] |
| [Question 3]? | [10-word answer] |

## Detailed FAQ

### Basic Questions

#### What is [topic]?
[2-3 sentence complete answer that can stand alone]

#### Why is [topic] important?
[Complete answer with specific benefits/reasons]

#### Who needs [topic]?
[Clear description of target audience with examples]

### How-To Questions

#### How do I [common action]?
[Step-by-step answer, can be brief list]

#### How long does [process] take?
[Specific timeframe with context]

#### How much does [topic] cost?
[Price range with factors that affect cost]

### Comparison Questions

#### What's the difference between [X] and [Y]?
[Clear distinction in 2-3 sentences]

#### Is [topic] better than [alternative]?
[Balanced answer with "it depends" context]

### Troubleshooting Questions

#### What if [common problem]?
[Solution-focused answer]

#### Why isn't [expected outcome] happening?
[Diagnostic approach with solutions]

### Advanced Questions

#### Can I [advanced use case]?
[Yes/no with explanation and how-to if applicable]

#### What are the limitations of [topic]?
[Honest assessment of boundaries]

## Still Have Questions?

[Call to action - contact, comment, related resources]

---
*Last updated: [Date] | Expert: [Name, Credentials]*
```

---

## Writing Guidelines

### For AI Extraction Optimization

**Lead with the Answer**
```
❌ "In this article, we'll explore what SEO means..."
✅ "SEO (Search Engine Optimization) is the practice of improving website visibility in search results."
```

**Use Complete Sentences**
```
❌ "Benefits: faster, cheaper, better"
✅ "The main benefits include faster processing times, lower costs, and improved quality."
```

**Be Specific with Numbers**
```
❌ "This can significantly improve results"
✅ "This typically improves results by 25-40% within 3 months"
```

**Attribute Claims**
```
❌ "Studies show that..."
✅ "According to a 2024 HubSpot study of 5,000 websites..."
```

**Format for Scanning**
```
- Use bullet points for 3+ items
- Bold key terms on first use
- Keep paragraphs under 4 sentences
- Use tables for comparisons
- Include clear section headers
```

### Word Count Guidelines

| Content Type | Optimal Length | Snippet Target |
|--------------|----------------|----------------|
| Definition | 1,500-2,500 words | 40-60 words |
| How-To | 1,500-3,000 words | 45-50 words |
| Comparison | 2,000-3,500 words | 40-50 words |
| FAQ | 1,500-2,500 words | 40-50 words per answer |

---

## Supporting file: references/query-research.md

# Query Research Methods for GEO/AEO

## Table of Contents
1. [Conversational Query Discovery](#conversational-query-discovery)
2. [Question Clustering](#question-clustering)
3. [Intent Classification](#intent-classification)
4. [AI Platform Testing](#ai-platform-testing)
5. [Competitive Intelligence](#competitive-intelligence)

---

## Conversational Query Discovery

### Tools & Methods

| Tool | Best For | Output |
|------|----------|--------|
| AnswerThePublic | Question discovery | Visual question maps |
| AlsoAsked | PAA question chains | Hierarchical questions |
| Semrush Keyword Magic | Volume + questions | Data-rich queries |
| Ahrefs Questions | Question filter | Search volume data |
| Google Autocomplete | Real-time trends | Suggested queries |
| Reddit/Quora | Authentic questions | User language patterns |

### Process: Building Question Maps

```
1. Start with seed topic
   └── Example: "email marketing"

2. Generate question variations
   ├── What questions: "what is email marketing"
   ├── How questions: "how to do email marketing"
   ├── Why questions: "why email marketing works"
   ├── When questions: "when to send marketing emails"
   ├── Where questions: "where to learn email marketing"
   ├── Who questions: "who needs email marketing"
   └── Which questions: "which email marketing tool"

3. Expand with modifiers
   ├── For beginners
   ├── In 2025
   ├── vs [alternative]
   ├── examples
   ├── best practices
   └── mistakes to avoid

4. Mine "People Also Ask"
   └── Click through 3+ levels to discover chains
```

### Conversational Query Patterns

**AI chatbots receive queries like:**

```
Traditional Search:
"best email marketing software"

Conversational Equivalent:
"What's the best email marketing software for a small 
e-commerce business with less than 10,000 subscribers 
that integrates with Shopify?"
```

**Optimize for:**
- Long-tail, specific queries
- Context-rich questions
- Multi-part queries
- Scenario-based questions

---

## Question Clustering

### Cluster Framework

```
Topic: [Main Topic]
│
├── Cluster 1: Definitions & Basics
│   ├── What is [topic]?
│   ├── What does [topic] mean?
│   ├── [Topic] definition
│   └── [Topic] explained simply
│
├── Cluster 2: How-To & Process
│   ├── How to [action] with [topic]
│   ├── How does [topic] work?
│   ├── Steps to [achieve outcome]
│   └── [Topic] tutorial
│
├── Cluster 3: Comparisons
│   ├── [Topic] vs [Alternative]
│   ├── Difference between [A] and [B]
│   ├── [Topic] alternatives
│   └── Best [topic] options
│
├── Cluster 4: Problems & Solutions
│   ├── [Topic] not working
│   ├── Common [topic] mistakes
│   ├── How to fix [problem]
│   └── [Topic] troubleshooting
│
├── Cluster 5: Cost & Value
│   ├── How much does [topic] cost?
│   ├── Is [topic] worth it?
│   ├── [Topic] pricing
│   └── Free vs paid [topic]
│
└── Cluster 6: Advanced & Specific
    ├── [Topic] for [specific audience]
    ├── Advanced [topic] techniques
    ├── [Topic] best practices
    └── [Topic] examples
```

### Prioritization Matrix

| Cluster | Search Volume | AI Citation Potential | Priority |
|---------|--------------|----------------------|----------|
| Definitions | High | Very High | 1 |
| How-To | High | High | 2 |
| Comparisons | Medium | High | 3 |
| Problems | Medium | Medium | 4 |
| Cost/Value | Medium | Medium | 5 |
| Advanced | Low | Low | 6 |

---

## Intent Classification

### The 4 Intent Types

```
1. INFORMATIONAL (Know)
   Signal words: what, why, how, guide, tutorial, learn
   AI behavior: Synthesizes answers from multiple sources
   Optimization: Comprehensive, authoritative content

2. NAVIGATIONAL (Go)
   Signal words: [brand name], login, official, website
   AI behavior: Directs to specific destinations
   Optimization: Brand presence, clear site structure

3. COMMERCIAL (Compare)
   Signal words: best, top, vs, review, comparison
   AI behavior: Provides options with analysis
   Optimization: Comparison content, honest reviews

4. TRANSACTIONAL (Do)
   Signal words: buy, price, discount, download, sign up
   AI behavior: Often defers to websites
   Optimization: Clear CTAs, product pages
```

### Intent-to-Content Mapping

| Intent | Content Type | Schema | Snippet Format |
|--------|--------------|--------|----------------|
| Informational | Guide, Explainer | Article, FAQPage | Paragraph, List |
| Navigational | Landing page | Organization, WebSite | Sitelinks |
| Commercial | Comparison, Review | Product, Review | Table |
| Transactional | Product page | Product, Offer | Rich product |

---

## AI Platform Testing

### Manual Testing Protocol

```
For each target query, test across:
□ ChatGPT (free and Plus)
□ Perplexity
□ Google (AI Overview)
□ Claude
□ Bing Copilot
□ Google Gemini

Document:
1. Is your brand/site mentioned?
2. Is your content cited?
3. What sources are cited?
4. How is the answer structured?
5. What's missing from the answer?
```

### Testing Queries Template

```
Base query: "[Your topic]"

Test variations:
1. "What is [topic]?"
2. "How do I [action related to topic]?"
3. "Best [topic] for [use case]"
4. "[Your brand] vs [competitor]"
5. "[Topic] in [current year]"
6. "Explain [topic] simply"
7. "[Topic] examples"
8. "Is [topic] worth it?"
```

### Competitor Citation Analysis

```python
# Pseudocode for tracking citations
queries = load_target_queries()
for query in queries:
    for platform in [ChatGPT, Perplexity, Google]:
        response = query_platform(platform, query)
        citations = extract_citations(response)
        
        record({
            'query': query,
            'platform': platform,
            'our_site_cited': our_domain in citations,
            'competitors_cited': [c for c in citations if c in competitor_domains],
            'citation_position': get_position(our_domain, citations)
        })
```

---

## Competitive Intelligence

### Citation Gap Analysis

**Step 1: Identify who's being cited**
```
Query your target topics across AI platforms
Record all cited domains
Tally citation frequency by domain
```

**Step 2: Analyze cited content**
```
For top-cited competitors:
├── Content structure (headers, formatting)
├── Content depth (word count, comprehensiveness)
├── Authority signals (author, sources, data)
├── Freshness (last updated date)
└── Technical factors (speed, schema, crawlability)
```

**Step 3: Gap identification**
```
Questions to answer:
├── What topics do they cover that we don't?
├── What formats are they using?
├── What unique data/research do they have?
├── How recent is their content?
└── What E-E-A-T signals are present?
```

### Competitive Content Audit Template

| Factor | Competitor A | Competitor B | Your Site | Gap |
|--------|--------------|--------------|-----------|-----|
| Topic coverage | | | | |
| Content depth | | | | |
| Freshness | | | | |
| Author authority | | | | |
| Source citations | | | | |
| Schema markup | | | | |
| FAQ sections | | | | |
| Original research | | | | |

### Action Planning

```
Priority actions based on gaps:
1. QUICK WINS: Easy to implement, high impact
   - Add FAQ sections
   - Update publish dates
   - Add author bios
   
2. MEDIUM EFFORT: Moderate effort, solid impact
   - Expand thin content
   - Add original data/statistics
   - Implement schema markup
   
3. LONG-TERM: High effort, transformative impact
   - Original research
   - Thought leadership content
   - Building topical authority
```

---

## Supporting file: references/schema-for-ai.md

# Schema Markup for AI Optimization

## Table of Contents
1. [Schema Priority for AI](#schema-priority-for-ai)
2. [High-Impact Schema Types](#high-impact-schema-types)
3. [Implementation Patterns](#implementation-patterns)
4. [AI-Specific Considerations](#ai-specific-considerations)

---

## Schema Priority for AI

### Why Schema Matters for AI

AI systems use structured data to:
- Understand content type and context
- Extract specific facts and attributes
- Validate information accuracy
- Determine content authority

### Priority Schema Types for GEO/AEO

| Priority | Schema Type | AI Use Case |
|----------|-------------|-------------|
| 1 | FAQPage | Direct answer extraction |
| 2 | HowTo | Step-by-step instruction |
| 3 | Article/BlogPosting | Content attribution |
| 4 | Product + Review | E-commerce answers |
| 5 | Organization | Brand knowledge |
| 6 | Person | Author authority |
| 7 | LocalBusiness | Location queries |
| 8 | BreadcrumbList | Site structure |

---

## High-Impact Schema Types

### FAQPage (Highest AI Impact)

```json
{
  "@context": "https://schema.org",
  "@type": "FAQPage",
  "mainEntity": [
    {
      "@type": "Question",
      "name": "What is [topic]?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Complete answer that can stand alone. Include key facts, figures, and context. This entire text may be extracted by AI systems."
      }
    },
    {
      "@type": "Question",
      "name": "How does [topic] work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Step-by-step or explanatory answer. Be comprehensive but concise."
      }
    }
  ]
}
```

**Best practices for AI:**
- Questions should match real user queries
- Answers must be complete and standalone
- Include specific facts, not just fluff
- Keep answers 50-300 words each

### HowTo (High AI Impact)

```json
{
  "@context": "https://schema.org",
  "@type": "HowTo",
  "name": "How to [Action]",
  "description": "Brief overview of what this guide teaches",
  "totalTime": "PT30M",
  "step": [
    {
      "@type": "HowToStep",
      "position": 1,
      "name": "Step name (action verb)",
      "text": "Detailed instructions for this step. Be specific and actionable.",
      "image": "https://example.com/step1.jpg"
    },
    {
      "@type": "HowToStep",
      "position": 2,
      "name": "Next step name",
      "text": "Detailed instructions for this step."
    }
  ]
}
```

**Best practices for AI:**
- Step names should be scannable actions
- Step text should be complete instructions
- Include time estimates when possible
- Each step should be independently understandable

### Article + Author (Authority Signal)

```json
{
  "@context": "https://schema.org",
  "@type": "Article",
  "headline": "Article Title (max 110 chars)",
  "description": "Meta description - comprehensive summary",
  "image": "https://example.com/image.jpg",
  "datePublished": "2025-01-08T08:00:00Z",
  "dateModified": "2025-01-08T10:00:00Z",
  "author": {
    "@type": "Person",
    "name": "Author Name",
    "url": "https://example.com/author/name",
    "jobTitle": "Subject Matter Expert",
    "description": "Brief bio establishing expertise",
    "sameAs": [
      "https://linkedin.com/in/authorname",
      "https://twitter.com/authorname"
    ]
  },
  "publisher": {
    "@type": "Organization",
    "name": "Publisher Name",
    "logo": {
      "@type": "ImageObject",
      "url": "https://example.com/logo.png"
    }
  },
  "mainEntityOfPage": {
    "@type": "WebPage",
    "@id": "https://example.com/article-url"
  }
}
```

**AI authority signals:**
- Author with credentials and bio
- Publisher organization details
- dateModified shows freshness
- sameAs links validate identity

### Speakable (Voice/AI Extraction)

```json
{
  "@context": "https://schema.org",
  "@type": "WebPage",
  "name": "Page Title",
  "speakable": {
    "@type": "SpeakableSpecification",
    "cssSelector": [".tldr", ".key-takeaway", "#summary"]
  }
}
```

Marks content sections optimized for:
- Voice assistant reading
- AI summary extraction
- Audio content generation

---

## Implementation Patterns

### Combined Schema for Content Pages

```json
{
  "@context": "https://schema.org",
  "@graph": [
    {
      "@type": "Article",
      "@id": "https://example.com/page#article",
      "headline": "Complete Guide to [Topic]",
      "author": {"@id": "https://example.com/#author"},
      "publisher": {"@id": "https://example.com/#org"},
      "datePublished": "2025-01-08",
      "dateModified": "2025-01-08"
    },
    {
      "@type": "FAQPage",
      "@id": "https://example.com/page#faq",
      "mainEntity": [...]
    },
    {
      "@type": "BreadcrumbList",
      "@id": "https://example.com/page#breadcrumb",
      "itemListElement": [
        {"@type": "ListItem", "position": 1, "name": "Home", "item": "https://example.com/"},
        {"@type": "ListItem", "position": 2, "name": "Category", "item": "https://example.com/category/"},
        {"@type": "ListItem", "position": 3, "name": "Page Title"}
      ]
    },
    {
      "@type": "Organization",
      "@id": "https://example.com/#org",
      "name": "Company Name",
      "url": "https://example.com",
      "logo": "https://example.com/logo.png"
    },
    {
      "@type": "Person",
      "@id": "https://example.com/#author",
      "name": "Author Name",
      "jobTitle": "Expert Title"
    }
  ]
}
```

### E-commerce Product Page

```json
{
  "@context": "https://schema.org",
  "@graph": [
    {
      "@type": "Product",
      "name": "Product Name",
      "description": "Detailed product description",
      "image": ["image1.jpg", "image2.jpg"],
      "brand": {"@type": "Brand", "name": "Brand"},
      "offers": {
        "@type": "Offer",
        "price": "99.99",
        "priceCurrency": "USD",
        "availability": "https://schema.org/InStock"
      },
      "aggregateRating": {
        "@type": "AggregateRating",
        "ratingValue": "4.5",
        "reviewCount": "127"
      }
    },
    {
      "@type": "FAQPage",
      "mainEntity": [
        {
          "@type": "Question",
          "name": "What is included with [Product]?",
          "acceptedAnswer": {
            "@type": "Answer",
            "text": "Complete list of what's included..."
          }
        }
      ]
    }
  ]
}
```

---

## AI-Specific Considerations

### Schema That AI Systems Prioritize

1. **Factual extraction**
   - FAQPage → Direct Q&A extraction
   - HowTo → Step extraction
   - Product → Spec extraction

2. **Authority signals**
   - Person (author) → Expertise validation
   - Organization → Publisher trust
   - sameAs → Identity verification

3. **Content structure**
   - Article → Content type identification
   - BreadcrumbList → Topic hierarchy
   - WebPage → Page purpose

### Schema That Has Less AI Impact

- Event (unless for event queries)
- Recipe (unless for recipe queries)
- Video (unless for video queries)
- Music (domain-specific)

### Validation for AI Optimization

```
Checklist before publishing:
□ Rich Results Test passes
□ Schema matches visible content exactly
□ No exaggerated claims
□ dateModified is accurate
□ Author has real credentials
□ FAQ questions match real search queries
□ All URLs are absolute and HTTPS
□ Images are accessible and properly sized
```

### Common Mistakes to Avoid

| Mistake | Why It Hurts AI Visibility |
|---------|---------------------------|
| FAQ questions no one searches | AI won't surface irrelevant Q&A |
| Exaggerated ratings | Damages trust signals |
| Missing author info | Reduces E-E-A-T signals |
| Outdated dateModified | AI prefers fresh content |
| Schema not matching content | Validation failures |
| Overly complex nesting | Harder to parse |