npx claudepluginhub majesticlabs-dev/majestic-marketplace --plugin majestic-marketingWant just this skill?
Add to a custom plugin, then install with one command.
Optimize content structure and framing for AI citation in ChatGPT, Perplexity, and Gemini. Use when preparing content for GEO (Generative Engine Optimization), improving AI extractability, or increasing chances of being cited in LLM responses. Covers trust formats, fact-density, and semantic depth.
This skill uses the workspace's default tool permissions.
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.