Ask ChatGPT who it recommends in your niche
Open ChatGPT and type in the request your customers come to you with: “recommend a [your service] in Kyiv.” You’ll get back a short list of brands.
If yours isn’t on that list, the customer has already acted on someone else’s recommendation — and you will never find out. That visit never appears in Google Search Console, because there was no click on your site to record. ChatGPT has 900 million weekly active users (OpenAI, February 2026), and every one of them phrases their questions the same way.
Three signs AI search is already taking your clicks
- You typed a question about your niche into ChatGPT and saw three competing brands in the answer. Yours wasn’t there — and there is no way to count the customers who acted on that recommendation.
- In Google Search Console your positions hold and impressions are steady, but clicks drop month after month. You checked the technical side and the content, found no cause, and wrote the decline off as another Google update.
- You’ve read a dozen articles about GEO, saved a dozen more for later, and tried something on your site. The advice contradicts itself, so the order of steps never came together.
All three come from the same mechanic — how AI engines select the sources they cite. That mechanic is what this course takes apart.
Ranking and citation run on different signals
For decades Google answered with a list of links, and your position in that list decided the click. AI search engines answer with finished text and name a few sources the text was assembled from. To get into the answer itself, a page has to satisfy a different set of requirements: page structure, Schema markup, clarity of wording, and mentions of your brand on third-party sites.
The effect is already measured. When Google shows an AI Overview, organic CTR drops from 15% to 8% — 47% fewer clicks at the same position (Pew Research, July 22, 2025).
GEO works on that second layer. In the course you get an explanation of how AI picks some sources and skips others, and a list of what is actually within your control on your side.
You bring your site, you leave with its audit and a 30-day plan
Each session runs an hour and a half, live: a short block of mechanics first, then you work on your own domain while the instructor reviews what you’ve produced. Groups are 15–20 people, so the review reaches everyone.
You finish the course with five concrete deliverables:
- You can see whether ChatGPT, Perplexity, Gemini and Google AI Overviews mention your brand, and for which prompts.
- You get an AI-readiness score for your site, together with a list of what is keeping it out of AI answers.
- You rewrite a real block of content on your own site and check how AI reads it.
- You build a list of five sources that carry authority in your niche and where your brand needs presence.
- You leave with a 30-day plan that separates what you do yourself without code from what you hand over to a developer.
Course program: 5 live sessions
- How buying behaviour changed: 51% of B2B software buyers now start their search with an AI chatbot (G2, “The Answer Economy,” April 2026)
- How AI search engines pick sources: citation vs ranking — the fundamental difference
- The key platforms: ChatGPT Search, Perplexity, Google AI Overviews, Claude, Gemini, Bing Copilot
- Core GEO metrics: Visibility Score, Detection Rate, Citation Rate, Share of Voice
- How GEO differs from SEO and AEO — and where they overlap
- Hands-on: we run real prompts through 3–4 AI engines at once
- Hands-on: we analyse who makes it into the answer and why — what the cited pages have in common
- Hands-on: first check — is your brand present in AI answers?
- Tools: ChatGPT / Perplexity / Claude, Google AI Overviews, Bing Copilot
- What site AI-readiness is and what it consists of
- The four readiness parameters: Schema Markup, Content Structure, Citation Signals, Technical Accessibility
- Competitor analysis in AI search: who is already winning in your niche, and how
- How to read GEO metrics: what matters and what is noise
- Hands-on: every participant runs an audit of their own site and gets a real score
- Hands-on: reviewing the results — what is keeping your site out of AI answers
- Hands-on: competitive comparison — finding your niche leaders in AI results
- Tools: Google Rich Results Test, Google Search Console, GetCito (instructor demo), Geoptie GEO Audit
- How AI decides what to cite: authority, structure, freshness, specificity
- AI keywords vs SEO keywords: why question-based queries (“how,” “why,” “which is better”) matter more
- How to structure content: headings, definitions, comparisons, specific numbers
- How research approaches score a text: we break it down on a demo, you apply the conclusions manually
- The typical content mistakes AI ignores
- Hands-on: Keyword Finder — finding AI-relevant queries for your niche
- Hands-on: Content Checker — analysing a participant’s real page
- Hands-on: we rewrite one block of content together and check the result in AI
- Tools: Answer the Public, AlsoAsked, AutoGEO (instructor demo), Geoptie Content Checker
- Which sources AI engines treat as authoritative: Wikipedia, Reddit, LinkedIn, industry media
- How to build presence through PR, partnerships and mentions in authoritative sources
- Cannibalization: why one page can eat another in AI results
- The difference between a backlink for Google and a citation signal for AI — they are not the same thing
- Hands-on: finding the top sources AI cites in your niche
- Hands-on: comparing brand citations across several LLMs — demoed in Gego, repeated by you in Geoptie
- Hands-on: spotting cannibalization problems and building a fix plan
- Hands-on: every participant builds a list of 5 authoritative sources to target
- Tools: Gego (instructor demo), GEO Linter (instructor demo), Geoptie Backlink Finder, Geoptie Cannibalization
- Why classic Google Analytics doesn’t work for GEO — and what to use instead
- Key monitoring metrics: Share of Voice, Citation Rate, Average Position per engine
- What a repeatable GEO process looks like: the weekly and the monthly cycle
- A 30/60/90-day GEO strategy: what to do first
- Hands-on: everyone sets up tracking for their own project, in at least one tool
- Hands-on: we build your personal action plan — the top 3 priorities for month one
- Hands-on: Q&A and review of participants’ real cases
- Tools: Gego, Otterly.ai, LLMrefs, Geoptie Rank Tracker
What you need to get started
- A website you have access to
- Access to that domain’s Google Search Console, or the ability to get it
- The ability to make content edits — yourself or through a developer
- Free accounts in a few services — we sign up together during session 1
FAQ
Do I need a technical background?
No. You work in the browser: ChatGPT, Google Search Console, Rich Results Test and a few mention trackers. Technical fixes on the site stay with your developer, and you leave with a task list for them — prioritized, and written so they won’t need to ask follow-up questions. Some of the tools in the program are open-source and the instructor demos them on his own screen — you don’t have to deploy anything. Everything you do yourself, you do in a browser on free accounts.
Will the sessions be recorded?
Yes, but we still recommend doing the practice on your own site live, because the instructor reviews your specific case during the session and a recording can’t reproduce that. If you miss one session, the recording gives you the mechanics — and you bring your questions to the next one.
My site has only 10 pages. Will this work for me?
Yes. Site size doesn’t determine whether AI cites it. What matters is page structure, markup, clarity of wording, and brand mentions off-site. On a small site the audit runs faster, and the 30-day plan is realistically finishable within the month.
Do I need to buy any tools?
No. Free tiers cover all five sessions and the 30-day plan. If after the course you want to run regular monitoring at volume, paid plans start at roughly $20–30 per month.
What if the course isn't for me?
100% refund before the start, 70% after the first session.
What is Generative Engine Optimization (GEO)?
Generative Engine Optimization (GEO) is the practice of optimizing a website so that AI search engines — ChatGPT, Perplexity, Gemini, Google AI Overviews — cite it as a source inside their generated answers. Unlike SEO, which competes for a position in a list of links, GEO competes for a mention inside the answer itself. It relies on page structure, Schema markup, clarity of wording, and brand mentions on third-party sites.
How is GEO different from SEO?
SEO optimizes for ranking: your page competes for a position in a list of links, and the click depends on that position. GEO optimizes for citation: an AI engine writes the answer itself and names a handful of sources it drew from. The two run on different signals, so a page can rank on page one of Google and still never be cited by ChatGPT.
Is GEO the same as AEO (Answer Engine Optimization)?
The terms overlap. AEO usually refers to optimizing for direct answers in general, including featured snippets and voice assistants; GEO refers specifically to being cited by generative AI engines. In practice most of the work is shared, and the course covers where the two diverge.
What language is the course taught in?
The course is taught live in Ukrainian. The tools, terminology and course materials are in English, because that is the language the entire GEO stack operates in.
Who is this GEO course for?
In-house marketers, SEO and performance specialists, content marketers, and owner-operators of small businesses who run their own marketing. You need a website you can access and edit — not a technical background.
Payment in installments without commission and interest is available from PrivatBank
