geoly-ai 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:
- First paragraph answers the core question directly
- H2/H3 headers on every major section
- 2-3 FAQ-format Q&A blocks present
- Brand name appears in first 100 words
- Claims backed by data or sources
- Key terms defined clearly
- Lists/tables used for complex information
- Declarative voice (not hedging)
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
- Citation framework: references/citation-framework.md
- Content type guides: references/content-types.md
- Before/After examples: references/examples.md
- Optimization rules: references/optimization-rules.md