Online course – Optimize pages for AI search with GEO/AEO
Win more qualified buyers from LLM search with answer engine optimization.

1 hour 57 minutes | 14 lessons
If AI is rewriting the way people research – cutting out 10 open tabs, skipping endless product demos, and turning to ChatGPT instead – how do you show up, stand out, and win?
Learn what actually works in 2025.
- Capture high-intent leads by showing up in AI-powered comparisons
- Decode Deep Research behavior in ChatGPT, Gemini, and Perplexity
- Build citable comparison content that LLMs prefer to rank
- Uncover and close comparison content gaps before your competitors do
- Own the narrative when your brand gets mentioned in Deep Research results
Instructor: Steve Toth
CEO of Notebook Agency
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AI changed how buyers compare products, your content needs to reflect this new reality
The old SEO playbook is obsolete. Buyers don’t browse ten links or book discovery calls – they ask ChatGPT or Perplexity and get a complete, comparison-driven answer built for decision-making.
If you’re not part of that answer, you’re out of the deal.
This cohort is a focused sprint to help you win visibility inside AI search by building comparison content optimized for Deep Research. You’ll learn how to audit your presence across LLMs, identify content gaps, and create pages that LLMs cite and buyers trust. It’s not theory – it’s real workflows, tools, and templates for the way buying actually happens now.
Here’s why marketers choose CXL
Course overview
MODULE 1
Understanding deep research & AI search behavior
Part 1: What is deep research and why it matters
- Deep Research vs Traditional Search: Mental models have changed
- How Gen-AI ends the 10-tab journey
- Why users don’t go back after Deep Research
- B2B buying: Fewer demos, more qualified leads
Part 2: Measuring performance and visibility in LLMs
- Introduction to traffic measurement frameworks
- Tracking brand mentions & citations in ChatGPT, Gemini, Perplexity
- Scraping data from AI interfaces using bookmarklets
- Interpreting the quality of citations
Part 3: AI user behavior ≠ Traditional searchers
- How LLMs interpret intent vs how humans do
- Examples across ChatGPT, Gemini, Perplexity
- What makes content citable for Deep Research
- Common UX paths and behavior patterns
Assignment:
- Analyze one of your own branded or product queries in ChatGPT, Gemini, and Perplexity
- Log citations and narrative patterns using provided tools
- Identify 3 competitors mentioned more than your brand
MODULE 2
Engineering comparison content for deep research
Part 1: ChatGPT refinements and why they matter
- Walkthrough of refinement logic: what the model really wants
- Using the Refinement Synthesizer Bot
- How refinements create content blueprints
- Comparisons are the spine of all refinement-driven Deep Research
Part 2: Comparison content strategy- modernized
- Auditing existing comparison pages
- Finding gaps using site: searches
- Asking LLMs to list your competitors
- The importance of low/no-volume comparison terms
Part 3: Advanced comparison content structuring
- Verticalized comparison pages (industry-specific)
- 2-Way, 3-Way, Brand-Excluded, and “Alternative to” formats
- Off-page SEO: monitoring 3rd-party comparison pages
- How to reverse-engineer successful competitor pages
Part 4: Advanced comparison content structuring
- Walkthrough: Gemini planning vs Perplexity web crawling
- How LLMs “research” using multiple queries
- Copying citations, mapping to buyer intent
- Answering follow-up questions LLMs anticipate (e.g., “What’s the main difference between X and Y?”)
Assignment:
- Create a 2-way and 3-way comparison page draft for your brand
- Include Deep Research-specific prompts and likely refinements
- List key citations to target in LLMs
- Submit a LLM citation tracking sheet with at least 3 competitor comparisons across ChatGPT, Gemini, and Perplexity
Meet your instructor
Steve Toth is a globally respected AI & SEO consultant who helps growth-stage SaaS and eCommerce companies scale through high-impact, intent-driven strategies. He’s the creator of SEO Notebook and AI Notebook – weekly newsletters with over 20,000 subscribers – where he shares real-world tactics for ranking and converting in today’s AI-powered search landscape.


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What is the difference between the monthly, quarterly and annual plans?
We offer three types of billing lengths to choose from: Monthly, Quarterly, or Annual. The longer the billing length, the cheaper the monthly cost becomes. Typically annual plans are 40% cheaper per year than paying month-to-month.
What is the difference between the individual and teams plans?
Personal or Individual plans are meant for one person where teams have 2 or more people.
A team account has a few extras:
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- Access team learning engagement reports.
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