Query Expansion Strategy
Maximize AI visibility through query fan-out coverage.
How LLMs Process Queries
LLMs expand queries into 5-10 semantic variations (sub-questions) before generating responses. To get cited:
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Cover topic clusters comprehensively
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Include semantic variations naturally
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Address related questions
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Build entity relationships
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Create topical depth
Query Fan-Out Analysis
Example: "How to prioritize leads" fans out to:
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"What methodologies exist for lead prioritization?"
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"What tools help with lead scoring?"
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"What metrics indicate lead quality?"
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"How do sales teams rank prospects?"
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"What is lead scoring automation?"
Your content must answer ALL sub-questions to maximize visibility.
Tools for Fan-Out Analysis
Tool Use
Kuforia Visualizes how AI breaks down topics
Dan's Fan-out Tool Shows sub-question decomposition
ChatGPT/Perplexity Ask "what sub-questions would you ask to answer X?"
Semantic Coverage Checklist
For any target topic:
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Core question - Direct answer to primary query
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Definition - What is X? (for newcomers)
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How-to - How do you do X?
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Why - Why is X important?
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Comparison - How does X compare to Y?
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Examples - What are examples of X?
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Tools - What tools help with X?
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Metrics - How do you measure X?
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Mistakes - What mistakes to avoid with X?
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Trends - What's changing about X?
Content Structure for Fan-Out
Recommended sections:
What is [Topic]?
[Definition for newcomers]
Why [Topic] Matters
[Business case, importance]
How to [Topic]
[Step-by-step methodology]
[Topic] Tools and Software
[Tool comparison table]
[Topic] Metrics to Track
[KPIs and measurement]
Common [Topic] Mistakes
[What to avoid]
FAQ
[Sub-question 1]?
[Complete answer]
[Sub-question 2]?
[Complete answer]
Semantic Footprint Expansion
Build entity relationships around your topic:
Primary Topic: Lead Scoring ├── Related Concepts: lead qualification, MQL, SQL, BANT ├── Tools: HubSpot, Salesforce, Marketo ├── Metrics: conversion rate, lead velocity ├── Personas: sales rep, marketing manager, SDR └── Use Cases: B2B sales, SaaS, enterprise
Include related terms naturally throughout content.
Analysis Output
When analyzing content for query expansion:
Target Query: [query]
Sub-Questions Covered: X/10 ☑ Definition/What is ☑ How-to/Process ☐ Why/Importance (MISSING) ☐ Comparison (MISSING) ☑ Tools/Software ...
Semantic Coverage: X% Missing Entities: [list]
Recommendations:
- Add section on [missing sub-question]
- Include comparison with [related concept]
- Add FAQ addressing [query variation]