AI Search & LLMs: Entity SEO and Knowledge Graph Strategies for Brands (E-Book) — by Beatrice Gamba
AI Search & LLMs: Entity SEO and Knowledge Graph Strategies for Brands is the practical guide to being understood — by Google’s Knowledge Graph, by AI search, and by the language models that now answer questions about your brand. Search engines and LLMs don’t rank strings; they work with entities and the relationships between them. If your brand, people and products aren’t defined clearly and consistently, machines guess — and they guess wrong.
Written by Beatrice Gamba (Head of Innovation, WordLift), with two primer parts by Lazarina Stoy, this e-book takes you from auditing how Google sees your brand today to building your own knowledge graph, deploying it as connected structured data, and turning it into citations in ChatGPT, Gemini and Perplexity.
Who it’s for
- SEOs and brand marketers who want their organization, founders and products recognized correctly in knowledge panels and AI answers.
- Technical SEOs and developers building connected schema with
@idreferences,sameAsand a real entity graph rather than isolated markup. - Content and comms teams working on how LLMs describe the brand — positioning, co-citation and cross-platform consistency.
- Beginners to entities — the two primers on entity extraction and knowledge graphs start from first principles.
What’s inside
- 29 chapters in 7 parts: entity foundations, entity-based search, brand entity development (the BRIDGE framework), a knowledge-graph primer, knowledge-graph integration, brand authority for LLMs, and three masterclass companions.
- An exercise with a worked example in every chapter, all run on one fictional brand — Fernhill Outdoor, an outdoor-gear company — so you can watch a full entity programme come together.
- The three live masterclasses on video — a live entity audit, building enterprise article schema, and the workbook & prioritization walk-through — included in your resource library.
- Recreated slide diagrams and JSON-LD examples, from the anatomy of a Knowledge Graph result to an Organization–Person graph wired together with
@id. - Four appendices: a master checklist of all 29 exercises, tools & resources, a 41-term glossary, and sources & further reading.
- Fact-checked in October 2026 —
resultScore, Wikidata notability, knowledge panels, schema and AI features — with dated update notes.
Look inside
Contents
- 1What Entities Are
- 2Extracting Entities: Google’s NLP API and Generative AI
- 3Why Entities Matter to Traditional and AI Search
- 4Interrogating Google’s Knowledge Graph
- 5Auditing Entity Structure
- 6Entities in Query Fan-Out, AI Search and LLMs
- 7Case Study: An Entity Website Analysis
- 8The BRIDGE Framework: Finding the Entity Gaps That Block LLM Discovery
- 9Entity Blueprint Analysis: Building Your Entity Catalogue
- 10Entity Relationship Mapping
- 11Advanced Schema Markup for Multi-Entity Relationships
- 12Distribution and Growth: Expanding Your Entity Network
- 13Evaluating and Measuring Entity Work
- 14Knowledge Graphs and Their Key Elements
- 15How Google’s Knowledge Graph Works
- 16Working With the Knowledge Graph API
- 17Knowledge Graph Fundamentals for Brands
- 18Building Your Knowledge Graph
- 19Implementing Your Knowledge Graph: Approaches and Considerations
- 20Deploying the Semantic Infrastructure on Your Website
- 21Multi-Platform Alignment and Maintenance
- 22Engineering How LLMs Describe Your Brand
- 23Turning Your Knowledge Graph Into LLM Citations
- 24Cross-Platform Entity Distribution
- 25Co-Citation and LLM Reputation Management
- 26Monitoring and Maintaining LLM Citations
- 27A Live Entity Audit: Diagnosing Gaps and Opportunities
- 28Building Enterprise Article Schema With Entity Connections
- 29Putting It All Into Practice: A Prioritization Framework
Included with your purchase
All eleven companion resources come with the book, delivered through a private Resource Library in your MLforSEO Academy account with direct links to each file:
- Schema Entity Audit Template
- Entity Relationship Planning Workbook
- Knowledge Graph Foundation – Step 1 Template
- Knowledge Graph Implementation Guide
- LLM Citation Tracking: 4-Step Implementation Guide
- Entity Analysis with Google Cloud NL API (No-Code Template)
- Extracting Entities with Google Cloud NL API in Python
- Entity & Sentiment Analysis APIs: Comparative Review
- Complete Guide to Entity Extraction & Sentiment Analysis
- Knowledge Graph API Extraction & Entity Relationship Analysis
- Entity Salience Checker: Google NL API
Plus the three masterclass videos (with full transcripts): a live entity audit of mlforseo.com, building enterprise article schema with entity connections, and the workbook & prioritization framework walk-through.
Want every lesson on video and the course community too? Add the full AI Search & LLMs: Entity SEO and Knowledge Graph Strategies for Brands course when you buy the e-book and save 30% on the course.
About the authors
Beatrice Gamba is Head of Innovation at WordLift, where she has worked since 2016 on semantic SEO, structured data, knowledge graphs and AI search for Fortune 500 companies, major publishers and large e-commerce platforms. See Beatrice’s profile →
Lazarina Stoy, founder of MLforSEO, wrote the two primers on entity extraction and knowledge graphs. See Lazarina’s profile →
Frequently asked questions
What format is the e-book?
An instant PDF download, delivered through MLforSEO Academy. It is designed for screen and print, with clickable links to every resource, article and glossary entry it mentions.
How do I get the companion resources?
After checkout you’re enrolled in a private Resource Library in your MLforSEO Academy account. It lists every resource in chapter order with a direct link to the file, plus the three masterclass videos.
Is this the same as the course?
The e-book covers the content of the AI Search & LLMs: Entity SEO and Knowledge Graph Strategies for Brands course in written form, with worked examples and appendices. The course adds every lesson on video, quizzes, a certificate and the course Slack channel. You can add the course at 30% off on the e-book’s product page.
Was AI used to make it?
The frameworks, arguments and research are the authors’, created for their MLforSEO Academy course. Generative AI helped restructure the lessons into chapters and redraw the diagrams for print, and every chapter was checked against the original lessons and current documentation.
Can I buy it for my team?
Yes — get in touch at team@mlforseo.com for team copies or an invoice.
What’s included
- 359 pages · 29 chapters — the complete guide to entity SEO and knowledge graphs for brands
- Audit how Google’s Knowledge Graph and AI assistants see your brand, then build and connect your entities
- All 11 companion resources + the 3 masterclass videos included
- A worked example in every chapter, recreated slide diagrams and JSON-LD you can adapt
- Primer chapters by Lazarina Stoy; fact-checked in October 2026