GEO Learning Hub

Frameworks and field guides for AI visibility.

For teams making AI visibility part of how they grow. Strategy, technical fundamentals, and category-specific analysis, written for executives and operators, not search marketers.

// 01, Category
GEO Basics
The foundational concepts every team needs before investing in AI visibility. How AI answer engines retrieve, synthesize, and cite information, and why GEO is structurally different from SEO.
// ARTICLE 01
What is GEO? A Field Definition for B2B Operators
A working definition of Generative Engine Optimization, written for executives without an SEO background.
// ARTICLE 02
The Three Gates of AI Retrieval
The three sequential checkpoints, Retrieval, Recognition, Recommendation, that determine whether AI engines cite your brand.
Coming soon
// ARTICLE 03
How AI Answer Engines Actually Build Their Answers
A breakdown of query fan-out, retrieval, synthesis, and citation, and what teams can influence at each stage.
Coming soon
// ARTICLE 04
GEO vs SEO: Where the Frameworks Diverge
Why most SEO best practices don't transfer cleanly to AI visibility, and what changes.
Coming soon
// ARTICLE 05
Why "Just Publish More Content" Fails for AI Visibility
The most common mistake B2B teams make when first investing in GEO, and what to do instead.
Coming soon
// 02, Category
AI Visibility Strategy
Strategic frameworks for category positioning, prompt strategy, citation development, and prioritization in AI visibility programs.
// ARTICLE 01
The Citation Supply Chain Framework
How to identify the third-party sources AI engines trust in your category, and how to earn placement in them.
Coming soon
// ARTICLE 02
Coverage Topics vs Depth Topics
The two types of prompts every B2B brand needs to track, and how to balance investment between them.
Coming soon
// ARTICLE 03
When to Audit, When to Implement, When to Wait
A decision framework for sequencing GEO investment based on company stage, content maturity, and category competition.
Coming soon
// ARTICLE 04
How to Build a Prompt Strategy That Reflects Real Buyer Behavior
Moving beyond "best [category]" prompts into the real questions buyers are asking AI.
Coming soon
// ARTICLE 05
The 90-Day Optimization Cycle
Why 90 days is the right horizon for GEO improvement, and how to structure the cycle for measurable results.
Coming soon
// 03, Category
Prompt Research
Practical guides for designing, testing, and interpreting prompt sets, the foundation of every AI visibility audit.
// ARTICLE 01
Six Prompt Categories Every B2B Audit Should Cover
Category discovery, comparison, alternative, use-case, buyer-intent, and problem-aware prompts, and why each matters.
Coming soon
// ARTICLE 02
How to Translate Your ICP Into Buyer Prompts
A step-by-step method for converting customer language into testable AI prompts.
Coming soon
// ARTICLE 03
Testing the Same Prompt Across Engines: What Changes
How ChatGPT, Perplexity, Gemini, and Google AI Overviews behave differently on identical prompts.
Coming soon
// ARTICLE 04
Buyer-Intent Prompts Are Where Deals Are Won
Why buyer-intent prompts disproportionately drive pipeline, and how to identify yours.
Coming soon
// 04, Category
B2B SaaS Use Cases
How AI visibility plays out across specific B2B SaaS verticals, MarTech, Sales Tech, DevTools, AI-native categories, and technical product categories.
// ARTICLE 01
AI Visibility for MarTech: Why Category Confusion Hurts You
Why MarTech brands consistently underperform on AI engines and what to fix first.
Coming soon
// ARTICLE 02
AI Visibility for Sales Tech: The Comparison Prompt Problem
How dominant incumbents capture comparison prompts and how challenger brands can compete.
Coming soon
// ARTICLE 03
AI Visibility for DevTools: Documentation as a Citation Surface
Why technical documentation is the highest-leverage citation surface for developer-focused tools.
Coming soon
// ARTICLE 04
AI Visibility for AI-Native Companies: The Self-Reference Problem
Why AI companies often appear least often in AI answer engines for their own categories.
Coming soon
// ARTICLE 05
AI Visibility for Vertical SaaS: The Niche Citation Problem
How vertical SaaS companies should think about category coverage when buyer prompts are inconsistent.
Coming soon
// 05, Category
Citation & Source Strategy
How to identify, prioritize, and earn placement in the third-party sources that influence AI answer generation.
// ARTICLE 01
How to Map Your Category's Citation Supply Chain
A step-by-step method for identifying which sources AI engines pull from in your category.
Coming soon
// ARTICLE 02
Owned vs Earned vs Aggregated: Where Citations Come From
The three types of citation sources and how each influences AI answers differently.
Coming soon
// ARTICLE 03
Why G2 and Capterra Citations Aren't Enough
The common failure mode of relying solely on review aggregators for AI visibility.
Coming soon
// ARTICLE 04
How Reddit Became an AI Citation Source
Why community platforms increasingly drive B2B AI answers, and how to participate without violating community norms.
Coming soon
// ARTICLE 05
Building a Citation Acquisition Program
A structured approach to earning placements in the sources that matter for your category.
Coming soon

Want this applied to your brand?

Reading helps. Diagnosing your specific situation creates leverage. Request your AI visibility baseline.

Book a 30-min call → Learn about the audit