Most course websites make you fill a form and wait for a callback before they show you the syllabus. We don't work like that. Scroll down and you will see all five days, the tools you will actually use, and the client-ready strategy pack you build before the course ends. Read the whole thing first. Then decide.
This is not a course for people collecting one more certificate. It is for people who already do SEO and want the skill that is about to matter most.
You know SEO well, but clients are starting to ask why the brand is missing from ChatGPT and AI answers. You want a real method to fix that.
You own content and visibility, and you need a clear, repeatable way to get your brand mentioned and cited by AI engines.
You want to offer AEO and GEO as a paid service and price it with confidence before your competitors work it out.
You want a new, high-value service and a client-ready pack you can put in front of a prospect the same week.
The course is built like a sprint, not a playlist. You start by seeing how AI engines choose brands, move into the work of making a brand visible, and finish by measuring it and packaging it for a client. Here is the shape of it before we go day by day.
Day 1. See how AI answer engines retrieve, pick and cite brands, then baseline where your business stands.
Days 2 to 4. Make pages retrievable, map every question, and build the authority signals AI trusts.
Day 5. Set the off-site strategy and a scorecard, then finish with a 90-day roadmap and a full pack.
Every day ends with something you built, not something you watched. Here is what each day covers and what you will be able to do once it is done.
Before you can improve visibility, you have to see how the machine actually works. Day 1 shows you the full path from a user question to a cited answer, and then you baseline where your chosen business stands today.
You learn how AI answer engines break a question into many sub-queries, retrieve content in chunks, and then synthesise and cite a handful of sources. This is query fan-out, retrieval and citation, explained in plain terms. Then you run the same buyer question across ChatGPT, Gemini, Claude, Perplexity and Google AI, and watch how the answers and the cited brands change from one engine to the next.
After this you can: build an AI visibility baseline for a business, showing prompts, mentions, citations, competitors and sentiment across the major engines.
This is the heart of the course. Three days of real work that make a brand easy for AI to find, quote and trust, each taught the same way: learn it, then do it on the business you picked.
You make the brand's own pages easy for AI to retrieve and quote. That means answer-first writing, chunk-friendly structure and high evidence density, so a model can lift a clean, correct passage. You also cover schema, the three crawler types, and the extra layer of llms.txt and markdown files that helps AI read a site the way you intend.
After this you can: rewrite a key page for AI, and hand over a clear list of technical, crawler and schema fixes.
This is the biggest working session of the week. You map the full question space in the category, then sort every query by intent, persona, funnel stage and format. You also look closely at why one source gets cited and another does not, so you can spot the exact gaps where the brand should be showing up and is not.
After this you can: build a query universe, run a citation-gap analysis, and turn it into a clear content-cluster plan.
Now you build the content and entity signals AI trusts. You cover the high-yield formats that get cited most, like comparisons, alternatives, buyer guides and original data, and why fresh information gain matters. Then you work through entity building in a clear order: identity, consistency across the web, relationships to known things, and corroboration from other trusted sources.
After this you can: produce a high-yield content outline and an entity and author authority plan for the brand.
Everything you have built now gets an off-site plan and a way to prove it works. This is the part that turns a set of tasks into a strategy a client will pay for.
You learn to influence what AI learns about a brand from the wider web, through digital PR, reviews, communities, YouTube and social. Then you build a measurement scorecard on a fixed set of prompts that you re-run on a regular cadence, so visibility stops being a guess and becomes a number you can show. You finish by pulling everything from the week into one 90-day roadmap.
After this you can: present a complete client-ready AEO and GEO strategy pack, with an off-site plan, a scorecard and a 90-day roadmap.
These are the tools sitting on a working AEO and GEO consultant's screen right now. By the end of the course they will be on yours too, and you will have used them on a real business.
The exact tool list is refined each batch to match what the industry is actually using at the time, so you are never learning something that went out of date last year.
The questions everyone messages to ask, answered upfront.
A clear picture of where the brand shows up across the major AI engines today.
A rewritten page and the crawler and schema changes that make it retrievable.
The full question universe, the citation gaps, and a content-cluster plan.
The content, entity and off-site signals that earn citations and trust.
A repeatable measurement scorecard and a 90-day plan you can act on.
Backed by TrainingWale, alongside the real pack you built during the week.
Seats are capped at 20 and the price goes up with the next batch. Booking is quick, and you can ask us anything before you commit.
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