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AI Academy for Agencies and Brands

AI Academy for Agencies and Brands
LEARN FROM A
TOP PHD STUDENT
UNIV. OF WASHINGTON ✦

Learn how large language models work, what drives visibility in AI search, and how to turn that into results for your brand or your clients.

6 lessons  ·  Self-paced video  ·  Beginner to Intermediate

Nick Clark
Nick Clark

Research Engineer & PhD Student

Curriculum Instructor
✦

What you'll learn

AI Visibility Foundations 6
Understand how LLMs generate probabilistic answers, not ranked results
See the core difference between SEO and GEO
Understand how retrieval-augmented generation (RAG) differs from pure LLM responses
Identify the AI platforms where visibility matters
Know which platforms to prioritize by industry
Learn why visibility varies across ChatGPT, Gemini, Claude, and Perplexity
Measuring Brand Visibility 5
Learn what signals influence whether a brand appears in AI responses
Build a prompt set that reliably tests a brand's AI visibility
Understand what a strong versus weak AI presence looks like
Identify the attributes AI models associate with a brand
Spot gaps between how a brand wants to be described and how AI describes it
Content and Citation Strategy 7
Know which content formats AI models weigh most heavily
Avoid the most common GEO content mistakes
Understand what makes a citation meaningful to an AI model
Identify the publication targets that most influence model training
Prioritize publication targets by impact and attainability
Build a citation acquisition strategy from scratch
Measure citation growth and connect it to visibility improvements
Delivering and Proving GEO 6
Know where to focus first, and what to ignore
Build a repeatable content calendar for ongoing GEO work
Frame GEO in terms a skeptical client or executive immediately understands
Price or budget GEO confidently against comparable digital marketing spend
Structure a GEO program with clear deliverables and milestones
Build a monthly report that demonstrates measurable visibility progress

Course curriculum

0 of 6 complete

Lessons marked complete after watching or by clicking "Mark complete" below each lesson.

1

Module 1: Foundations

Introduction to LLMs and What Drives AI Visibility

Lesson 1

Introduction to LLMs and What Drives AI Visibility

Available
20 min
Why Buyer Personas Matter for AI Visibility

Lesson 2

Why Buyer Personas Matter for AI Visibility

Available
16 min
How Many Times Should You Run a Prompt?

Lesson 3

How Many Times Should You Run a Prompt?

Available
10 min
2

Module 2: Strategy & Execution

How to Optimize Content for Higher AI Visibility

Lesson 4

How to Optimize Content for Higher AI Visibility

Available
7 min
Why Third-Party Citations Influence AI Visibility

Lesson 5

Why Third-Party Citations Influence AI Visibility

Available
6 min
Comparing Data Collection Methods: APIs, Scraping, and Clickstream Data

Lesson 6

Comparing Data Collection Methods: APIs, Scraping, and Clickstream Data

Available
9 min
✦

Your instructor

Nick Clark
Nick Clark

Research Engineer & PhD Student

Nick studies how large language models process and surface information, with a focus on what drives brand visibility in AI-generated answers. He brings that research directly into practice for agencies and brands.

Ready to see what AI says about your brand?

Run a free visibility report and see how AI models represent your brand or your client's.

Free to start · No credit card required