Knowledge Graphs & AI Visibility
Learn how to structure your data so AI agents (and search engines) can understand, trust, and cite your brand in the generative era.
If your data isn't structured, you're invisible to AI.
AI models don't "read" websites like humans. They look for entities, relationships, and structured facts. This course teaches you how to build the semantic layer that makes your brand understandable to machines.
Curriculum (6 Modules × 2 hours)
1. The Semantic Web & AI
Entities vs. keywords. How LLMs use knowledge graphs for retrieval (RAG). The future of search (SGE).
2. Schema.org & JSON-LD Mastery
Beyond basic snippets. Nesting schemas. Defining relationships between products, authors, and concepts.
3. Building Your Brand Knowledge Graph
Mapping your organizational ontology. Identifying core entities. connecting proprietary data.
4. Digital PR & Entity Authority
How citations and backlinks influence entity confidence scores. 'SameAs' strategies.
5. Measuring AI Visibility
Tools for tracking entity recognition. Testing your brand in ChatGPT, Gemini, and Perplexity.
6. Project: Build & Deploy
Create a knowledge graph for your organization and deploy the JSON-LD payload.
What You'll Achieve
Pricing & Enrollment
Individual
$4,500
- ✓ 6 live technical sessions
- ✓ Schema templates & code libraries
- ✓ Knowledge Graph builder tool access
- ✓ Code reviews by instructors
AFTER TRAINING
Need us to build it for you?
We offer a comprehensive AI Visibility / Knowledge Graph sprint where we build and deploy the graph for you.
Check out the AI Visibility Sprint