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AI Academy for Agencies

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

Learn how large language models work, what drives visibility in AI search, and how to build a GEO practice that delivers real results for clients.

6 lessons  ·  Self-paced video  ·  Beginner to Intermediate

Nick Clark
Nick Clark

Research Engineer & PhD Student

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 your clients need to be visible on
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 your client's brand
Spot gaps between how clients want to be described and how AI actually describes them
Content and Citation Strategy 7
Know which content formats AI models weigh most heavily
Avoid the most common GEO content mistakes agencies make
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
Selling and Delivering GEO 6
Know where to focus your attention first for clients
Build a repeatable content calendar for a GEO retainer
Frame GEO in terms skeptical clients immediately understand
Price GEO services confidently against comparable digital marketing services
Structure a GEO retainer 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.

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