We Don't Rank. We Select.
Understand how AI systems choose who gets cited. Master AI Visibility and Generative Engine Optimization.
Clarity
If we cannot parse it, we ignore it. Clear content gets selected.
Structure
Structure determines visibility. Organized content is extractable content.
Authority
Citations are not random. Entity authority determines selection.
How AI Systems Select Sources
AI does not rank pages. It evaluates content for interpretability, extractability, and factual reliability — then selects.
- — Optimizes for ranking positions
- — Focuses on keywords and backlinks
- — Success = top 10 blue links
- — Click-dependent traffic model
- + Optimizes for selection and citation
- + Focuses on structure, clarity, entity authority
- + Success = cited in AI-generated answers
- + Zero-click visibility model
The Framework
Master AI Visibility
9 pillars from fundamentals to industry playbooks.
What is AI Visibility?
The foundational concept. Why being found is no longer enough.
GEO vs SEO
Traditional ranking vs AI selection. What changed and why it matters.
How AI Chooses Sources
The selection logic behind ChatGPT, Perplexity, and AI Overviews.
How to Be Cited
Actionable framework for getting your content cited by AI systems.
Content Structure for AI
Format, hierarchy, and extractability patterns that AI prefers.
Entity Authority
Building trust signals that make AI systems choose you as a source.
Technical Foundations
Schema, performance, crawlability — the technical layer of AI visibility.
Measurement & Experiments
How to track AI citations and run optimization experiments.
Playbooks by Industry
AI visibility strategies for SaaS, e-commerce, B2B, and agencies.
The Tools
Measure and Optimize
GEO platforms and tooling to track your AI visibility.
Use Cases
Learn from the Community
Real-world AI Visibility strategies in action.
Ready to be selected?
Explore the framework, run your own experiments, and start optimizing for AI citation.