geo-content-optimizer

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Optimize content structure and framing for AI citation. Covers trust formats, extractability, and fact-density.

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Sourcemajesticlabs-dev/majestic-marketplace

Added on2026-02-20

NPX Install

npx skill4agent add majesticlabs-dev/majestic-marketplace geo-content-optimizer

SKILL.md Content

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GEO Content Optimizer

Content structure and framing for AI citation in ChatGPT, Perplexity, Gemini.

GEO vs Traditional SEO

Aspect	Traditional SEO	GEO Focus
Goal	Rank in blue links	Get cited in AI responses
Focus	Keywords + backlinks	Semantic depth + fact-density
Structure	Readable by humans	Extractable by AI
Authority	Domain authority	Citation quality + source reputation

Content Framing for AI Trust

AI is pattern-trained on authoritative content types. Framing matters more than domain authority.

High-Trust Content Formats:

Format	AI Trust Level	Why It Works
Research report	Very High	Trained on academic papers, industry reports
Comparative analysis	High	Matches evaluation/review patterns
Industry benchmark	High	Data-driven, authoritative framing
Expert roundup	Medium-High	Multiple credible sources
How-to guide	Medium	Utility content pattern
"Best X" listicle	Low	Associated with affiliate/promo content

Reframing Strategy:

Instead Of	Reframe As
"Best CRM Software 2024"	"CRM Industry Analysis: Feature Comparison Across 12 Platforms"
"Why Choose [Product]"	"Evaluation Framework: Key Criteria for [Category] Selection"
"Top 10 Tools for X"	"[Category] Landscape Report: Methodology-Based Assessment"
"Product Review"	"Comparative Analysis: [Product] in Context of Market Alternatives"

Research-Style Content Elements:

Executive summary / Key findings section
Methodology explanation (how you evaluated)
Data tables with citations
Limitations acknowledgment
Author credentials / analyst bio

Content Structure for AI Extraction

Paragraph Optimization:

Keep paragraphs under 120 words
One idea per paragraph
Lead with key facts
Use clear topic sentences

Extractable Formats:

TL;DR blocks at content start
Bullet lists for features/steps
Tables for comparisons
Definition boxes for terms
FAQ sections for direct answers

Header Strategy:

Clear H2/H3 hierarchy
Question-based headers (matches prompts)
Topic-keyword alignment
Semantic grouping

Fact-Density Optimization

High-Value Elements:

Statistics with sources
Specific numbers and dates
Verifiable data points
Expert quotes with attribution
Original research findings

Information Gain Signals:

Unique insights not found elsewhere
Novel perspectives on topics
First-hand experience
Comprehensive coverage
Updated information

The Taco Bell Test (Chunking)

Every section must make sense on its own WITHOUT reading sections before or after.

Each chunk = independent, extractable unit
AI may cite just one section; make it complete
No "as mentioned above" references

Speed Advantage

AI reacts to fresh, structured inputs faster than waiting for traditional authority signals. A well-framed research piece can gain AI visibility within hours, not months.