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:

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

# [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:

{
  "@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)

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)

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)

# ===========================================
# 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

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

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

Maximum Protection Configuration

# 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

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

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

# 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:

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

# 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

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

# 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

# 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

# [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

# [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

---

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

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

---

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

---

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

# 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

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

---

High-Impact Schema Types

FAQPage (Highest AI Impact)

{
  "@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)

{
  "@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)

{
  "@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)

{
  "@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

{
  "@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

{
  "@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