AI Search & LLMs: Entity SEO and Knowledge Graph Strategies for Brands Course

Description

Entity and Knowledge Graph SEO Systems for AI Search and LLMs 

Search is no longer about matching keywords. It’s about whether AI systems understand who you are, what you do, and why you matter.

This course shows you how to design entity-first, knowledge graph-driven SEO systems so your brand is clearly recognized, trusted, and recommended by AI search and LLMs.

Guided by Beatrice Gamba (Head of Innovation at Wordlift) and with guest instructor Lazarina Stoy, you’ll learn how entity-based search reshapes brand visibility in the LLM era – and how to turn your brand into a well-modeled entity that search engines and AI agents can confidently surface.

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What you’ll learn

You’ll explore how to translate your brand’s values into structured, data-driven signals that search engines and AI systems can interpret. From strengthening entity recognition to weaving your presence into knowledge graphs, this course is about making your brand not just discoverable, but meaningful in an AI-driven search ecosystem.

By the end, you’ll be able to:

• Understand how entity-based search works in the LLM era – how entities differ from keywords, how Google’s systems and knowledge graph process entities, and how LLM architectures interpret them, backed by a full case study of entity-based implementation.

• Build and refine your brand entity so it’s represented consistently across the web, with frameworks for discovering recognition gaps and designing robust entity architectures that LLMs can trust.

• Use semantic SEO and schema to reinforce entity value, model multi-entity relationships, and connect your content to the right concepts and facts.

• Design, build, implement, and maintain knowledge graphs for your brand – including approaches to integrating with Google’s Knowledge Graph and working with the Knowledge Graph API for analysis at scale.

• Work with entity extraction and NER using tools like the Google NLP API, and understand how it compares to other NLP APIs and generative AI for entity extraction.

• Orchestrate AI agents to monitor, optimize, and scale entity and brand authority efforts – from acquiring citations to measuring performance and avoiding common pitfalls.

• Engineer brand authority inside LLM responses: competitive positioning against rivals, cross-platform amplification (forums, Reddit, podcasts, and more), and reputation engineering to manage sentiment and narrative.

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Inside the course

The curriculum blends knowledge primers, deep-dive strategy modules, and practical lessons:

• Entity & NER Primer (Optional) – Foundations of entities vs. keywords, the EAV model, and hands-on entity extraction with the Google NLP API and other NLP services.

• Knowledge Graph Primer (Optional) – How knowledge graphs work, how Google’s Knowledge Graph is built and updated, plus a practical introduction to the Knowledge Graph API.

• Understanding Entity-Based Search in the LLM Era – How search and LLM systems actually process entities, with a full case study you can mirror in your own work.

• Brand Entity Development & Recognition – BRIDGE framework, entity architecture, advanced schema, cross-platform content strategies, and AI agents for ongoing entity optimization.

• Knowledge Graph Integration & Optimization – Building your knowledge graph, implementation approaches, and long-term maintenance.

• Building Brand Authority for LLM Success – Competitive positioning, amplification channels, agent orchestration, and reputation engineering.

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Who this course is for

This course is ideal if you:

• Lead or contribute to SEO, content, or digital strategy and want to move beyond keyword-first tactics

• Work in-house or agency-side and need to future-proof brand visibility in AI search and LLMs

• Are a technical SEO or data-driven marketer looking to use NLP, schema, and knowledge graphs more systematically

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The outcome

When you finish, you won’t just “know about” entities and knowledge graphs – you’ll have a repeatable system for:

• Auditing entity recognition and visibility

• Structuring your brand as a clear, consistent entity

• Connecting your content and data into knowledge graphs

• Influencing how LLMs talk about your brand

Enroll now to build an entity-first SEO system that keeps your brand visible, trusted, and recommended in the age of AI search and LLMs.