392 lines
13 KiB
Markdown
392 lines
13 KiB
Markdown
# Blog GEO Optimization
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Create GEO (Generative Engine Optimization) content brief based on completed research using the GEO Specialist agent.
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## Usage
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```bash
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/blog-geo "topic-name"
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```
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**Example**:
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```bash
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/blog-geo "nodejs-tracing"
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```
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**Note**: Provide the sanitized topic name (same as used in research filename).
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## What is GEO?
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**GEO (Generative Engine Optimization)** is the academic and industry-standard term for optimizing content for AI-powered search engines. Formally introduced in **November 2023** by researchers from **Princeton University, Georgia Tech, Allen Institute for AI, and IIT Delhi**.
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**Target Platforms**:
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- ChatGPT (with web search)
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- Perplexity AI
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- Google AI Overviews
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- Gemini
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- Claude (with web access)
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- Bing Copilot
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**Proven Results**:
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- **30-40% visibility improvement** in AI responses
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- **1,200% growth** in AI-sourced traffic (July 2024 - February 2025)
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- **27% conversion rate** from AI traffic vs 2.1% from standard search
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- **3.2x more citations** for content updated within 30 days
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**Source**: Princeton Study + 29 industry research papers (2023-2025)
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### GEO vs SEO
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| Aspect | SEO | GEO |
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|--------|-----|-----|
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| **Target** | Search crawlers | Large Language Models |
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| **Goal** | SERP ranking | AI citation & source attribution |
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| **Focus** | Keywords, backlinks | E-E-A-T, citations, quotations |
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| **Optimization** | Meta tags, H1 | Quotable facts, statistics, sources |
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| **Success Metric** | Click-through rate | Citation frequency |
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| **Freshness** | Domain-dependent | Critical (3.2x impact) |
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**Why Both Matter**: Traditional SEO gets you found via Google/Bing. GEO gets you cited by AI assistants.
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**Top 3 GEO Methods** (Princeton Study):
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1. **Cite Sources**: 115% visibility increase for lower-ranked sites
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2. **Add Quotations**: Especially effective for People & Society topics
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3. **Include Statistics**: Most beneficial for Law/Government content
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## Prerequisites
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**Required**: Research report must exist at `.specify/research/[topic]-research.md`
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If research doesn't exist, run `/blog-research` first.
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## What This Command Does
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Delegates to the **geo-specialist** subagent to create comprehensive GEO content brief:
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- Applies Princeton Top 3 methods (cite sources, add quotations, include statistics)
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- Assesses source authority and E-E-A-T signals
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- Optimizes content structure for AI parsing
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- Identifies quotable statements for AI citations
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- Ensures comprehensive topic coverage
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- Provides AI-readable formatting recommendations
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- Recommends schema markup for discoverability (near-essential)
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**Time**: 10-15 minutes
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**Output**: `.specify/geo/[topic]-geo-brief.md`
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## Instructions
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Create a new subagent conversation with the `geo-specialist` agent.
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**Provide the following prompt**:
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```
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You are creating a GEO (Generative Engine Optimization) content brief based on completed research.
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**Research Report Path**: .specify/research/$ARGUMENTS-research.md
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Read the research report and follow your Four-Phase GEO Process:
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1. **Source Authority Analysis + Princeton Methods** (5-7 min):
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- **Apply Top 3 Princeton Methods** (30-40% visibility improvement):
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* Cite Sources (115% increase for lower-ranked sites)
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* Add Quotations (best for People & Society domains)
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* Include Statistics (best for Law/Government topics)
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- Assess E-E-A-T signals (Experience, Expertise, Authoritativeness, Trustworthiness)
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- Check content freshness (3.2x more citations for 30-day updates)
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- Score overall authority potential (X/10)
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2. **Structured Content Optimization** (7-10 min):
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- Create AI-parseable H1/H2/H3 outline
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- Extract key facts as quotable statements
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- Structure sections as questions where appropriate
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- Recommend schema.org markup (Article, HowTo, FAQPage) - near-essential
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3. **Context and Depth Assessment** (7-10 min):
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- Verify comprehensive topic coverage
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- Identify gaps to fill
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- Ensure technical terms are defined
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- Recommend multi-perspective coverage (pros/cons, use cases)
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4. **AI Citation Optimization** (5-7 min):
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- Identify 5-7 quotable key statements
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- Ensure facts are clear and self-contained
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- Highlight unique value propositions
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- Add date/version indicators for freshness
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**Output Location**: Save your GEO brief to `.specify/geo/$ARGUMENTS-geo-brief.md`
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**Important**: If research quality is insufficient (< 3 credible sources) or topic structure is ambiguous, use the User Decision Cycle to involve the user.
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Begin your analysis now.
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```
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## Expected Output
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After completion, verify that `.specify/geo/[topic]-geo-brief.md` exists and contains:
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**Authority Assessment**: Credibility score + improvement recommendations
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**AI-Optimized Outline**: Clear H1/H2/H3 structure with question-format headings
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**Quotable Statements**: 5-7 key facts that AI can cite
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**Context Analysis**: Topic coverage assessment + gaps identified
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**Schema Recommendations**: Article, HowTo, FAQPage, etc.
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**Metadata Guidance**: Title, description, tags optimized for AI understanding
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**Citation Strategy**: Unique value propositions + formatting recommendations
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**GEO Checklist**: 20+ criteria for AI discoverability
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## Review Checklist
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Before proceeding to content creation, review:
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1. **Authority**: Are sources credible enough for AI citation?
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2. **Structure**: Is the outline clear and AI-parseable?
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3. **Quotables**: Are key statements citation-worthy?
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4. **Depth**: Does coverage satisfy comprehensive AI queries?
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5. **Unique Value**: What makes this content worth citing?
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## How GEO Brief Guides Content
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The marketing agent will use your GEO brief to:
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- **Structure Content**: Follow AI-optimized H2/H3 outline
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- **Embed Quotables**: Place key statements prominently
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- **Add Context**: Define terms, provide examples
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- **Apply Schema**: Implement recommended markup
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- **Cite Sources**: Properly attribute external research
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- **Format for AI**: Use lists, tables, clear statements
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**Result**: Content optimized for BOTH human readers AND AI citation.
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## Next Steps
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After GEO brief is approved:
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1. **Proceed to writing**: Run `/blog-marketing` to create final article
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2. **Or continue full workflow**: If this was part of `/blog-generate`, the orchestrator will proceed automatically
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**Note**: For complete AI optimization, consider running BOTH `/blog-seo` (traditional search) AND `/blog-geo` (AI search).
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## When to Use This Command
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Use `/blog-geo` when you need to:
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- Optimize content for AI-powered search engines
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- Maximize likelihood of AI citation
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- Ensure content is authoritative and comprehensive
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- Structure content for easy AI parsing
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- Create AI-discoverable content brief only (without writing article)
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**For full workflow**: Use `/blog-generate` (which can include GEO phase).
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## Comparison: SEO vs GEO Briefs
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| Feature | SEO Brief | GEO Brief |
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|---------|-----------|-----------|
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| **Keywords** | Primary + secondary + LSI | Natural language topics |
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| **Structure** | H2/H3 for readability | H2/H3 as questions for AI |
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| **Focus** | SERP ranking factors | Citation worthiness |
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| **Meta** | Title tags, descriptions | Schema markup, structured data |
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| **Success** | Click-through rate | AI citation frequency |
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| **Length** | Word count targets | Comprehensiveness targets |
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| **Links** | Backlink strategy | Source attribution strategy |
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**Recommendation**: Create BOTH briefs for comprehensive discoverability.
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## Tips for Maximum GEO Impact
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### 1. Authority Signals
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- Cite 5-7 credible sources in research
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- Include expert quotes
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- Add author bio with credentials
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- Link to authoritative external sources
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### 2. AI-Friendly Structure
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- Use questions as H2 headings ("What is X?", "How to Y?")
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- Place key facts in bulleted lists
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- Add tables for comparisons
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- Include FAQ section
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### 3. Quotable Statements
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- Make claims clear and self-contained
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- Provide context so quotes make sense alone
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- Use precise language (avoid ambiguity)
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- Bold or highlight key data points
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### 4. Comprehensive Coverage
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- Answer related questions
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- Address common misconceptions
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- Provide examples for abstract concepts
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- Include pros/cons and alternatives
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### 5. Freshness Indicators
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- Date published/updated
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- Version numbers (if applicable)
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- "As of [date]" for time-sensitive info
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- Indicate currency of information
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## Requesting Changes
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If GEO brief needs adjustments, you can:
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- Request deeper coverage on specific topics
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- Ask for additional quotable statements
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- Adjust authority recommendations
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- Modify content structure
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- Request different schema markup
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Just provide feedback and re-run the command with clarifications.
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## Error Handling
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If GEO analysis fails:
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- Verify research report exists
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- Check research has 3+ credible sources
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- Ensure research contains sufficient content
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- Try providing more specific guidance about target audience
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### Common Issues
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**"Insufficient source authority"**
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- Research needs more credible sources
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- Add academic papers, official docs, or expert blogs
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- Re-run `/blog-research` with better sources
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**"Topic structure ambiguous"**
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- Agent will ask for user decision
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- Clarify whether to focus on depth or breadth
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- Specify target audience technical level
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**"Missing context for AI understanding"**
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- Research may be too technical without explanations
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- Add definitions and examples
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- Ensure prerequisites are stated
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## Integration with Full Workflow
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### Option 1: GEO Only
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```bash
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# Research → GEO → Write
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/blog-research "topic"
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/blog-geo "topic"
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/blog-marketing "topic" # Marketing agent uses GEO brief
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```
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### Option 2: SEO + GEO (Recommended)
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```bash
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# Research → SEO → GEO → Write
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/blog-research "topic"
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/blog-seo "topic" # Traditional search optimization
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/blog-geo "topic" # AI search optimization
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/blog-marketing "topic" # Marketing agent uses BOTH briefs
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```
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### Option 3: Full Automated
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```bash
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# Generate command can include GEO
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/blog-generate "topic" # Optionally include GEO phase
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```
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**Note**: Marketing agent is smart enough to merge SEO and GEO briefs when both exist.
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## Real-World GEO Examples
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### What Works Well for AI Citation
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**Clear Definitions**
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> "Distributed tracing is a method of tracking requests across microservices to identify performance bottlenecks and failures."
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**Data Points with Context**
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> "According to a 2024 study by Datadog, applications with tracing experience 40% faster incident resolution compared to those relying solely on logs."
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**Structured Comparisons**
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| Feature | Logging | Tracing |
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|---------|---------|---------|
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| Scope | Single service | Cross-service |
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| Use case | Debugging | Performance |
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**Question-Format Headings**
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> ## How Does OpenTelemetry Compare to Proprietary Solutions?
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**Actionable Recommendations**
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> "Start with 10% sampling in production environments to minimize overhead while maintaining visibility into application behavior."
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### What Doesn't Work
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**Vague Claims**
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> "Tracing is important for modern applications."
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**Keyword Stuffing**
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> "Node.js tracing nodejs tracing best practices nodejs application tracing guide..."
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**Buried Facts**
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> Long paragraphs with key information not highlighted
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**Outdated Information**
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> Content without publication/update dates
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**Unsourced Statistics**
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> "Most developers prefer X" (without citation)
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## Success Metrics
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Track these indicators after publication:
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1. **AI Citation Rate**: Monitor if content is cited by ChatGPT, Perplexity, etc.
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2. **Source Attribution**: Frequency of being named as source in AI responses
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3. **Query Coverage**: Number of related queries your content answers
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4. **Freshness**: How recently updated (AI systems prefer recent)
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5. **Authority Signals**: Backlinks from other authoritative sites
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**Tools**: No established GEO tracking tools yet. Manual testing:
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- Ask ChatGPT about your topic → check if you're cited
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- Search in Perplexity → verify source attribution
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- Use Claude with web access → monitor citations
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## Future-Proofing
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GEO best practices are evolving. Focus on fundamentals:
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1. **Accuracy**: Factual correctness is paramount
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2. **Authority**: Build credibility gradually
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3. **Structure**: Clear, organized content
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4. **Comprehensiveness**: Thorough topic coverage
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5. **Freshness**: Regular updates
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These principles will remain valuable regardless of how AI search evolves.
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---
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**Ready to optimize for AI search?** Provide the topic name (from research filename) and execute this command.
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## Additional Resources
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- **GEO Research**: Check latest posts on AI search optimization
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- **Schema.org**: Reference for structured data markup
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- **OpenAI/Anthropic**: Monitor changes to citation behavior
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- **Perplexity Blog**: Insights on source selection algorithms
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---
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## Research Foundation
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This GEO command is based on comprehensive research from:
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**Academic Foundation**:
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- Princeton University, Georgia Tech, Allen Institute for AI, IIT Delhi (November 2023)
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- Presented at ACM SIGKDD Conference (August 2024)
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- GEO-bench benchmark study (10,000 queries across diverse domains)
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**Key Research Findings**:
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- 30-40% visibility improvement through Princeton's Top 3 methods
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- 1,200% growth in AI-sourced traffic (July 2024 - February 2025)
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- 27% conversion rate from AI traffic vs 2.1% from standard search
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- 3.2x more citations for content updated within 30 days
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- 115% visibility increase for lower-ranked sites using citations
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**Industry Analysis**:
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- Analysis of 17 million AI citations (Ahrefs study)
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- Platform-specific citation patterns (ChatGPT, Perplexity, Google AI Overviews)
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- 29 cited research studies (2023-2025)
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- Case studies: 800-2,300% traffic increases, real conversion data
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For full research report, see: `.specify/research/gso-geo-comprehensive-research.md`
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