
Step 1 is tracking down profit-triggering prompts. The goal is to stop wasting time on keywords that bring traffic but don’t bring buyers. You’ll learn how to identify high buying-intent searches (the ones that lead to revenue), how to think like your customer, and how to organize your keyword list so you only focus on what can actually convert.
Step 2 is matching search intent with surgical precision. Once you have the right prompts, you need to create the right type of content that perfectly satisfies what the searcher is looking for. I show you how to map prompts to content formats like comparisons, alternatives, competitor-focused posts, and news-style content — and the exact on-page checklist that makes content “ready to rank” and ready to be cited.
Step 3 is securing links that actually move rankings. This is where most people waste money on links that do nothing. I show the only two link types I focus on (the ones that consistently move the needle), how to find real sites that are worth getting links from, and how to filter out the trash so you’re not building backlinks that won’t help.
Step 4 is hunting down SEO gremlins. This is the boring technical SEO part, but it’s the difference between content that sits there and content that performs. We cover meta titles, meta descriptions, schema markup, internal linking, sitemaps, canonicals, alt text, and site speed — and why these “small” fixes can massively increase clicks, rankings, and citations.
If you apply these four steps, you don’t need to wait months to start seeing results. You just need the right prompts, the right content, the right trust signals, and a site that’s technically clean enough for search engines (and LLMs) to trust and cite.
I break down my AI SEO strategy using ChatGPT.
In the next 1h50, I walk you through:
1. What products he’s selling and how they’re structured
2. How he tracks sales to prove they came directly from ChatGPT
3. How to rank on ChatGPT and get traffic even if you don’t rank on Google
4. How anyone, from SaaS founders to e-commerce stores, agencies, or local businesses, can replicate the system
It’s not flashy or overhyped - it’s a boring, step-by-step breakdown of a strategy that actually works.
In today’s video I’m sharing what I honestly think is one of the biggest SEO lessons of 2025 - and it completely changed the way I think about Google, AI, LLM SEO, GEO… all of it.
This year was insane for SEO and AI. I learned more in the last 12 months than in the previous 10 years combined. And the biggest takeaway from everything I tested, researched, and built is this: This is the part people still don’t realize: LLMs don’t behave like humans.
They’re willing to dig through page 20… page 50… page 100 of Google to find the best answer - and they don’t care if the page has zero SEO authority or clicks. And that means:
You don’t need to rank on Google to be cited in LLMs
You can get indirect human traffic via AI recommendations
The pages LLMs cite are often completely different from the ones Google ranks
Optimizing for LLMs is a totally different game from classic SEO
In this video, I break down how one site went from 0 to 1,400 monthly visitors (US-based) using nothing but SEO + LLM citations. And this isn’t vanity traffic - it’s worth $1.2K/month if you were to buy it with Google Ads. I’ll show you exactly:
How to reverse-engineer any competitor using Top Pages
Why blog content STILL works (when done correctly)
Which content types Google + LLMs love right now
How to structure articles that actually convert (CTAs, internal links, videos, tables, etc.)
How brands get mentioned in ChatGPT/Perplexity even when they don’t rank on Google
You’ll also see a full breakdown of the templates, comparisons, listicles, tutorials, and news-based articles this site used to grow - and how you can replicate the same strategy. If you want the deeper training on ranking in LLM search (ChatGPT, Perplexity, Gemini, Copilot).
In 2026, it's all going to be about video (the info that is)
People are no longer just “Googling” — they’re asking ChatGPT, AI Overviews, Perplexity, and other LLMs for answers, recommendations, and buying decisions.
In this course, you’ll learn exactly how to position your brand, website, SaaS, e-commerce store, agency, or local business to show up inside AI answers — even if you don’t rank on Google.
This is not theory.
You’ll see real examples of businesses generating revenue directly from ChatGPT traffic, how those visits are tracked using UTM parameters, and why AI search works very differently from traditional SEO funnels.
We’ll break down:
How ChatGPT and LLMs source, rank, and cite websites
Why many brands cited by ChatGPT have zero Google rankings
How to create content that AI models trust and surface
How to optimize pages for high buying intent, not vanity traffic
The exact page types that work best for LLM SEO (comparisons, alternatives, feature pages, informational content)
How SaaS, e-commerce brands, agencies, and local businesses should approach AI SEO differently
You’ll also learn how to:
Track ChatGPT traffic and revenue properly
Optimize existing content for AI search
Structure pages so LLMs can easily extract and cite them
Leverage social signals, brand mentions, and authority sources used by AI models
This course is practical, implementation-focused, and designed to future-proof your SEO strategy as AI becomes the dominant way people search online.
If you want your brand to be recommended by AI — instead of replaced by it — this course is for you.