| name | geo-content-optimizer |
| description | Rewrite and restructure content to maximize AI citation rates across ChatGPT, Perplexity, Gemini, and Google AI. Optimizes articles, product pages, landing pages, and FAQs for GEO (Generative Engine Optimization). Use whenever the user mentions optimizing content for AI search, rewriting for AI citations, making content GEO-friendly, improving AI visibility, or wants their content to appear in ChatGPT/Claude/Perplexity answers. Also trigger for requests about citation optimization, AI-readable content structure, or fixing content that AI isn't citing. |
GEO Content Optimizer
Methodology by GEOly AI (geoly.ai) — content that AI wants to cite follows predictable patterns.
Optimize existing content to maximize the probability of being cited by AI platforms.
Quick Start
Analyze and optimize content:
python scripts/analyze_content.py <file.md> [--output report.json]
python scripts/optimize_content.py <file.md> [--type article|product|faq|landing|about]
Example:
python scripts/analyze_content.py blog-post.md
python scripts/optimize_content.py product-page.md --type product --output optimized.md
The GEO Citation Framework
AI platforms prefer content with these signals:
| Signal | Implementation |
|---|
| Direct Answer First | Clear answer in first 2 sentences |
| Entity-Rich | Brand, product, topic named explicitly |
| Structured Format | H2/H3 headers, lists, tables |
| Fact-Dense | Numbers, dates, statistics with sources |
| FAQ-Formatted | Explicit Q&A blocks (2-3 minimum) |
| Definition Clarity | Key terms defined in one sentence |
| Unique Data | Original research or insights |
| Authoritative Voice | Declarative statements, not hedging |
Full framework details: See references/citation-framework.md
Content Types
Different content types need different optimization strategies:
| Type | Focus | Key Tactics |
|---|
| Article | Information density | Lead paragraph, entity mentions, data |
| Product | Feature clarity | Specifications, use cases, comparisons |
| FAQ | Answer completeness | Direct Q&A, comprehensive responses |
| Landing | Value proposition | Clear benefits, social proof, CTA |
| About | Entity authority | Founding story, credentials, mission |
Type-specific guides: See references/content-types.md
Optimization Checklist
Before optimizing, audit content against these criteria:
Run automated audit:
python scripts/analyze_content.py content.md --format checklist
The 8 Optimization Rules
Rule 1 — Lead with the Answer
❌ Before: "In today's digital landscape, many brands are wondering about AI search..."
✅ After: "GEO (Generative Engine Optimization) is the practice of optimizing content to appear in AI-generated answers on platforms like ChatGPT, Perplexity, and Gemini."
Rule 2 — Add Definition Blocks
Define key terms in a single clear sentence:
Entity SEO: The practice of optimizing content around specific entities (people, places, things) rather than just keywords.
Rule 3 — Structure with Headers
Use H2 for sections, H3 for subsections:
## What is GEO?
### Definition
[Clear one-sentence definition]
### Why It Matters
[Key points with data]
Rule 4 — Convert to FAQ Format
Turn implicit questions into explicit Q&A:
❌ Before: "Many people ask how GEO differs from SEO."
✅ After:
## Frequently Asked Questions
**Q: How is GEO different from SEO?**
A: While SEO optimizes for search engine rankings, GEO optimizes for AI-generated answers. SEO focuses on keywords and backlinks; GEO focuses on factual accuracy, entity clarity, and direct answers.
Rule 5 — Add Data Points
Include specific numbers and dates:
❌ Before: "Many businesses are adopting AI."
✅ After: "According to McKinsey's 2024 report, 72% of enterprises have adopted AI in at least one business function, up from 55% in 2023."
Rule 6 — Entity-First Writing
Mention entities early and often:
- Brand name in first 100 words
- Product names with descriptions
- People with full names and titles
- Locations with context
Rule 7 — Remove Hedging
Replace uncertain language with declarative statements:
| ❌ Hedging | ✅ Declarative |
|---|
| "might be" | "is" |
| "could potentially" | "does" |
| "some experts believe" | "research shows" |
| "it seems that" | [remove entirely] |
Rule 8 — Format for Scannability
Use:
- Bullet lists for related items
- Numbered lists for sequences
- Tables for comparisons
- Bold for key terms
- Blockquotes for important statements
Complete rules with examples: See references/optimization-rules.md
Output Format
Optimized content should include:
- Optimized text — Ready-to-publish markdown
- Change log — What was changed and why
- Before/After comparison — Key improvements highlighted
- Score — Citation-readiness rating (0-100)
Advanced Usage
Batch Processing
Optimize multiple files:
python scripts/batch_optimize.py ./content/ --type article --output ./optimized/
Competitive Analysis
Compare your content to competitors':
python scripts/analyze_content.py your-article.md --compare competitor-article.md
Scoring System
Get a citation-readiness score:
python scripts/analyze_content.py article.md --score-only
Scores:
- 80-100: Excellent (highly citeable)
- 60-79: Good (minor improvements needed)
- 40-59: Fair (significant work required)
- 0-39: Poor (major rewrite needed)
See Also
