📚 Educational Purpose

This is an educational visualization showing how concepts in the Three Streams GEO Methodology connect to each other. It demonstrates what a knowledge graph looks like and how entities relate.

🔍 How AI Systems See Entities (NER)

Named Entity Recognition (NER) is how AI systems identify and classify entities in your content. When you write about "Dr. Sarah Chen, dermatologist at Stanford Medical," NER extracts:

• Person: Dr. Sarah Chen
• Role: Dermatologist
• Organization: Stanford Medical

AI systems then connect these entities into a knowledge graph — a network of relationships. The better your content defines entities and their relationships, the better AI systems understand and cite you.

🕸️ This Visualization

Each node (circle) represents a methodology concept. Each line represents a relationship between concepts. Hover over lines to see what each connection means.

This mirrors how AI systems build internal knowledge graphs from your content — connecting entities, understanding relationships, and using that structure to generate accurate responses.

💡 Key Insight

When you use Entity-First Writing and Schema Markup, you're essentially helping AI systems build a better knowledge graph about your brand. The clearer your entities and relationships, the more likely AI systems cite you correctly.