Christopher Penn

Join us for AI Prompting with Christopher Penn for a step-by-step journey through applying large-language-model techniques to modern SEO and PPC tasks. You’ll walk away with a tested library of prompts ready to deploy.

Online April 13, 2026 | 11:00am – 4:45pm ET | $299 | Live & On-Demand

• We’ll start with a concise grounding in prompt engineering, mastering "Knowledge Blocks," the CASINO framework, and the "Magic Trick" protocol so that you can speak to models with accuracy and repeatability.

• Then, you’ll work hands-on inside your preferred paid or free LLM—ChatGPT, Gemini, Claude, or similar—to practice seven high-impact use-case categories: extraction, summarization, rewriting, classification, question answering, generation, and synthesis.

• For each category, you’ll discover real search scenarios. Throughout the Master Class, you capture successful prompts in a reusable notebook that becomes your personal AI playbook.

• For SEO: Examples will include extracting user intent from unstructured data sources (like Reddit and video reviews), scoring keyword relevance against Ideal Customer Profiles (ICPs), and optimizing technical accessibility for AI crawlers.

• For PPC: Examples will include rewriting content into responsive search ads, creating negative keyword lists via classification, and using code-based environments (Google Colab) to perform accurate mathematical analysis for ROAS and ROI reporting that standard LLMs cannot do alone.

This Master Class is designed for practitioners who already manage keyword research, on-page optimization, or paid search and want to move beyond generic AI demos to disciplined, results-driven application.

This is not a lecture; it is nearly five hours of building, iterating, and unlocking search performance with generative AI. Therefore, we strongly recommend you come to this Master Class with access to these tools to make the most of your experience:

1. ChatGPT (free or paid, paid strongly recommended).
2. Anthropic Claude (free or paid, paid is optional).
3. Google Gemini (free or paid, AI Studio is recommended with billing enabled).
4. NotebookLM (free or paid).
5. Google Colab (free).

Here’s a look at what you’ll cover when. If you can't attend live, on-demand access is included for free. (Exact times are subject to change.)

11:00am - 12:15pm ET

Basics of Generative AI and Prompt Engineering

The 3 forms of AI, the CASINO framework, Knowledge Blocks, and the "Magic Trick" protocol for consistent outputs.

12:15pm - 12:30pm ET

Break

12:30pm - 1:45pm ET

Search professional use cases part 1

Extraction: Mining structured data from difficult sources like video reviews and screenshots.

Classification: Scoring keywords and data against Ideal Customer Profiles for relevance.

Summarization: Using NotebookLM for audio overviews and distilling big data (like forums) into insights.

Rewriting: Domain transfer techniques and OCEAN personality-based content tuning.

1:45pm - 2:00pm ET

Break

2:00pm - 3:15pm ET

Search professional use cases part 2

Synthesis: Using Deep Research tools to build data-backed Ideal Customer Profiles.

Question Answering: Persona roleplay and using Google Colab for accurate data analysis/math.

Generation: Creating net-new assets, from coding custom apps to multimedia content.

3:15pm - 3:30pm ET

Break

3:30pm - 4:45pm ET

Generative AI considerations, warnings, and Q&A

The strategic pivot to Audience, Brand, and Community. Optimizing for accessibility and the "text browser" reality of AI search.

Click on a Master Class to learn more! Buy multiple Master Classes for the ultimate training experience and unlock 15% off registration.