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)

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