geo-content-optimizer

GEO Content Optimizer

This skill optimizes content to appear in AI-generated responses. As AI systems increasingly answer user queries directly, getting cited by these systems becomes crucial for visibility.

When to Use This Skill

• Optimizing existing content for AI citations
• Creating new content designed for both SEO and GEO
• Improving chances of appearing in AI Overviews
• Making content more quotable by AI systems
• Adding authority signals that AI systems trust
• Structuring content for AI comprehension
• Competing for visibility in the AI-first search era

What This Skill Does

1. Citation Optimization: Makes content more likely to be quoted by AI
2. Structure Enhancement: Formats content for AI comprehension
3. Authority Building: Adds signals that AI systems trust
4. Factual Enhancement: Improves accuracy and verifiability
5. Quote Creation: Creates memorable, citeable statements
6. Source Attribution: Adds proper citations that AI can verify
7. GEO Scoring: Evaluates content's AI-friendliness

How to Use

Optimize Existing Content

Optimize this content for GEO/AI citations: [content or URL]

Make this article more likely to be cited by AI systems

Create GEO-Optimized Content

Write content about [topic] optimized for both SEO and GEO

GEO Audit

Audit this content for GEO readiness and suggest improvements

Data Sources

See CONNECTORS.md for tool category placeholders.

With ~~AI monitor + ~~SEO tool connected: Automatically pull AI citation patterns (which content is being cited by ChatGPT, Claude, Perplexity), current AI visibility scores, competitor citation frequency, and AI Overview appearance tracking.

With manual data only: Ask the user to provide:

1. Target queries where they want AI citations
2. Current content URL or full content text
3. Any known instances where competitors are being cited by AI

Proceed with the full workflow using provided data. Note in the output which metrics are from automated collection vs. user-provided data.

Instructions

When a user requests GEO optimization:

1. Load CORE-EEAT GEO-First Optimization Targets

   Before optimizing, load GEO-critical items from the CORE-EEAT Benchmark:

   ### CORE-EEAT GEO-First Targets
   
   These items have the highest impact on AI engine citation. Use as optimization checklist:
   
   **Top 6 Priority Items**:
   | Rank | ID | Standard | Why It Matters |
   |------|----|----------|---------------|
   | 1 | C02 | Direct Answer in first 150 words | All engines extract from first paragraph |
   | 2 | C09 | Structured FAQ with Schema | Directly matches AI follow-up queries |
   | 3 | O03 | Data in tables, not prose | Most extractable structured format |
   | 4 | O05 | JSON-LD Schema Markup | Helps AI understand content type |
   | 5 | E01 | Original first-party data | AI prefers exclusive, verifiable sources |
   | 6 | O02 | Key Takeaways / Summary Box | First choice for AI summary citations |
   
   **All GEO-First Items** (optimize for all when possible):
   C02, C04, C05, C07, C08, C09 | O02, O03, O04, O05, O06, O09
   R01, R02, R03, R04, R05, R07, R09 | E01, E02, E03, E04, E06, E08, E09, E10
   Exp10 | Ept05, Ept08 | A08
   
   **Observed Citation Patterns** _(based on published GEO research; AI systems do not disclose official ranking criteria — treat these as working hypotheses to test, not guarantees):_
   | Engine | Frequently Associated Content Signals |
   |--------|---------------------------------------|
   | Google AI Overview | C02, O03, O05, C09 |
   | ChatGPT Browse | C02, R01, R02, E01 |
   | Perplexity AI | E01, R03, R05, Ept05 |
   | Claude | R04, Ept08, Exp10, R03 |
   
   _Full benchmark: [references/core-eeat-benchmark.md](../../references/core-eeat-benchmark.md)_
   

2. Analyze Current Content

   ## GEO Analysis: [Content Title]
   
   ### Current State Assessment
   
   | GEO Factor | Current Score (0-100) | Notes |
   |------------|----------------------|-------|
   | Clear definitions | [X] | [notes] |
   | Quotable statements | [X] | [notes] |
   | Factual density | [X] | [notes] |
   | Source citations | [X] | [notes] |
   | Q&A format | [X] | [notes] |
   | Authority signals | [X] | [notes] |
   | Content freshness | [X] | [notes] |
   | Structure clarity | [X] | [notes] |
   | **GEO Readiness** | **[avg]/100** | **Average across factors** |
   
   **Primary Weaknesses**:
   1. [Weakness 1]
   2. [Weakness 2]
   3. [Weakness 3]
   
   **Quick Wins**:
   1. [Quick improvement 1]
   2. [Quick improvement 2]
   

3. Apply GEO Optimization Techniques

   GEO fundamentals: AI systems prioritize content that is authoritative (expert credentials, proper citations), accurate (verifiable, up-to-date), clear (well-structured, unambiguous), and quotable (standalone answers, specific data). See references/geo-optimization-techniques.md for details.

   Apply the six core optimization techniques: definition optimization, quotable statement creation, authority signal enhancement, structure optimization, factual density improvement, and FAQ schema implementation.

   Reference: See references/geo-optimization-techniques.md for detailed before/after examples, templates, and checklists for each technique.

   Key principles:

   • Definitions: 25-50 words, standalone, starting with the term
   • Quotable statements: Specific statistics with sources, verifiable facts
   • Authority signals: Expert quotes with credentials, proper source citations
   • Structure: Q&A format, comparison tables, numbered lists
   • Factual density: Replace vague claims with specific data points
   • FAQ schema: JSON-LD FAQPage markup matching visible content

4. Generate GEO-Optimized Output

   ## GEO Optimization Report
   
   ### Changes Made
   
   **Definitions Added/Improved**:
   1. [Definition 1] - [location in content]
   2. [Definition 2] - [location in content]
   
   **Quotable Statements Created**:
   1. "[Statement 1]"
   2. "[Statement 2]"
   
   **Authority Signals Added**:
   1. [Expert quote/citation]
   2. [Source attribution]
   
   **Structural Improvements**:
   1. [Change 1]
   2. [Change 2]
   
   ### Before/After GEO Score
   
   | GEO Factor | Before (0-100) | After (0-100) | Change |
   |------------|----------------|---------------|--------|
   | Clear definitions | [X] | [X] | +[X] |
   | Quotable statements | [X] | [X] | +[X] |
   | Factual density | [X] | [X] | +[X] |
   | Source citations | [X] | [X] | +[X] |
   | Q&A format | [X] | [X] | +[X] |
   | Authority signals | [X] | [X] | +[X] |
   | **Overall GEO Score** | **[avg]/100** | **[avg]/100** | **+[X]** |
   
   ### AI Query Coverage
   
   This content is now optimized to answer:
   - "What is [topic]?" ✅
   - "How does [topic] work?" ✅
   - "Why is [topic] important?" ✅
   - "[Topic] vs [alternative]" ✅
   - "Best [topic] for [use case]" ✅
   

5. CORE-EEAT GEO Self-Check

   After optimization, verify GEO-First items:

   ### CORE-EEAT GEO Post-Optimization Check
   
   | ID | Standard | Status | Notes |
   |----|----------|--------|-------|
   | C02 | Direct Answer in first 150 words | ✅/⚠️/❌ | [notes] |
   | C04 | Key terms defined on first use | ✅/⚠️/❌ | [notes] |
   | C09 | Structured FAQ with Schema | ✅/⚠️/❌ | [notes] |
   | O02 | Summary Box / Key Takeaways | ✅/⚠️/❌ | [notes] |
   | O03 | Comparisons in tables | ✅/⚠️/❌ | [notes] |
   | O05 | JSON-LD Schema Markup | ✅/⚠️/❌ | [notes] |
   | O06 | Section chunking (3–5 sentences) | ✅/⚠️/❌ | [notes] |
   | R01 | ≥5 precise data points with units | ✅/⚠️/❌ | [notes] |
   | R02 | ≥1 citation per 500 words | ✅/⚠️/❌ | [notes] |
   | R04 | Claims backed by evidence | ✅/⚠️/❌ | [notes] |
   | R07 | Full entity names | ✅/⚠️/❌ | [notes] |
   | E01 | Original first-party data | ✅/⚠️/❌ | [notes] |
   | Exp10 | Limitations acknowledged | ✅/⚠️/❌ | [notes] |
   | Ept08 | Reasoning transparency | ✅/⚠️/❌ | [notes] |
   
   **Items Needing Attention**: [list any ⚠️/❌ items]
   
   _For full 80-item audit, use [content-quality-auditor](../../cross-cutting/content-quality-auditor/)_
   

Validation Checkpoints

Input Validation

• Content source identified (URL, full text, or content draft)
• Target AI queries or topics clearly defined
• Current GEO baseline assessed (if optimizing existing content)

Output Validation

• At least 3 clear, quotable definitions added
• Factual density improved with at least 5 verifiable statistics
• All claims have source citations from authoritative sources
• Q&A format sections cover top 5 user queries
• GEO score improvement of at least 50% from baseline
• Source of each data point clearly stated (~~AI monitor data, user-provided, or estimated)

Example

User: "Optimize this paragraph for GEO: 'Email marketing is a good way to reach customers. It's been around for a while and many businesses use it. You can send newsletters, promotions, and other messages.'"

Output:

## GEO-Optimized Version

**Email marketing** is a digital marketing strategy that uses email to promote 
products, build customer relationships, and drive conversions. According to 
the Data & Marketing Association, email marketing delivers an average ROI 
of $42 for every $1 invested, making it the highest-performing digital 
marketing channel.

### Key email marketing formats include:

1. **Newsletters**: Regular updates sharing company news, industry insights, 
   and valuable content to maintain subscriber engagement
2. **Promotional emails**: Time-sensitive offers, discounts, and product 
   announcements designed to drive immediate sales
3. **Transactional emails**: Order confirmations, shipping updates, and 
   account notifications with 8x higher open rates than marketing emails
4. **Automated sequences**: Pre-scheduled email series triggered by user 
   actions, such as welcome series or abandoned cart reminders

> **Key statistic**: 81% of small businesses rely on email as their primary 
> customer acquisition channel (Emarsys, 2024).

---

### Changes Made:

Changes: added clear definition, 2 stats with sources, structured list, DMA/Emarsys citations, 3 quotable facts. **GEO Score**: 10/100 → 80/100.

GEO Optimization Checklist

Reference: See the GEO Readiness Checklist in references/geo-optimization-techniques.md for the full checklist covering definitions, quotable content, authority, structure, and technical elements.

Tips for Success

1. Answer the question first - Put the answer in the first sentence
2. Be specific - Vague content doesn't get cited
3. Cite sources - AI systems trust verifiable information
4. Stay current - Update statistics and facts regularly
5. Match query format - Questions deserve direct answers
6. Build authority - Expert credentials increase citation likelihood

Reference Materials

• AI Citation Patterns - How Google AI Overviews, ChatGPT, Perplexity, and Claude select and cite sources
• Quotable Content Examples - Before/after examples of content optimized for AI citation

Related Skills

• seo-content-writer — Create SEO content to optimize
• schema-markup-generator — Add structured data
• content-refresher — Update content for freshness
• content-quality-auditor — Full 80-item CORE-EEAT audit
• serp-analysis — Analyze AI Overview patterns