query-expansion-strategy

Original：🇺🇸 English

Translated

Query fan-out coverage for AI visibility. Covers semantic variation analysis and sub-question targeting.

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Sourcemajesticlabs-dev/majestic-marketplace

Added on2026-02-21

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npx skill4agent add majesticlabs-dev/majestic-marketplace query-expansion-strategy

SKILL.md Content

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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:

Cover topic clusters comprehensively
Include semantic variations naturally
Address related questions
Build entity relationships
Create topical depth

Query Fan-Out Analysis

Example: "How to prioritize leads" fans out to:

"What methodologies exist for lead prioritization?"
"What tools help with lead scoring?"
"What metrics indicate lead quality?"
"How do sales teams rank prospects?"
"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:

Core question - Direct answer to primary query
Definition - What is X? (for newcomers)
How-to - How do you do X?
Why - Why is X important?
Comparison - How does X compare to Y?
Examples - What are examples of X?
Tools - What tools help with X?
Metrics - How do you measure X?
Mistakes - What mistakes to avoid with X?
Trends - What's changing about X?

Content Structure for Fan-Out

Recommended sections:

markdown

## 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:
1. Add section on [missing sub-question]
2. Include comparison with [related concept]
3. Add FAQ addressing [query variation]