AI Visibility Marketer
Make Sure AI Recommends Your Brand!
Customers are no longer just Googling. They’re asking AI! Learn how to make sure AI sees, understands and recommends your brand.
This training provides a practical, hands-on
approach to understanding and improving how AI models perceive, describe, and recommend your brand. You will learn to measure your AI visibility, identify content gaps, and build a strategy that ensures your brand is cited when it matters most.
The training is led by AI visibility researchers and practitioners from Rankfor.AI, bringing deep expertise in AI brand perception, competitive intelligence, and content strategy for the age of generative AI.
Format
Day 1 (in-person, Helsinki): Wednesday 4 November 2026, 9:00–16:00
Day 2 (online, Microsoft Teams): Thursday 12 November 2026, 13:00–16:00
Duration
1.5 days total
Language
English
Pricing
690 € + vat (865,95 € inc. vat)
Registration
12.8.-21.10.2026
Certificate
Certificate of completion: AI Visibility Analyst
Group size
Limited seats, min. 10 participants for the training to run.
Open enrollment training. Book your seat today — places are limited.

Why AI visibility is now a marketing priority
Over 60% of online searches now end without a click. AI models answer the query directly, without the user ever visiting a website. For marketing professionals, this creates a new and urgent challenge: your brand needs to be visible not just on Google, but inside ChatGPT, Google Gemini, and other AI assistants that your customers rely on every day.
The AI Visibility Marketer training gives you a practical, hands-on framework to understand how AI models perceive your brand, measure that visibility with four concrete metrics, and build a content strategy that ensures your brand is cited when it matters most. Traditional SEO skills remain valuable, but they are no longer sufficient on their own.
This training is delivered by Rankfor.AI, an AI Visibility Performance platform purpose-built to solve the zero-click crisis, in partnership with Business College Helsinki.
Who is this training for?
The AI Visibility Marketer training is designed for marketing professionals who want to understand how AI models talk about their brand and learn practical strategies to improve their AI visibility. No prior experience with AI tools or platforms is required.
Typical participants include:
- Marketing Directors, CMOs, and Heads of Marketing
- Digital Marketing Managers and Growth Marketers
- SEO and Organic Search Specialists
- Content Marketing Managers and Content Strategists
- Brand Managers and Communications / PR Managers
- Performance Marketing Specialists (PPC / Paid Media)
- E-commerce Marketing Managers
- Social Media Managers
The training is equally relevant for marketing teams in large and mid-sized companies and for professionals working in marketing agencies.
What you will learn
After completing the AI Visibility Marketer training, participants will be able to:
- Understand the shift from search-based to AI-driven brand discovery and why it matters
- Measure brand AI visibility across multiple AI models using the four core metrics: PIS (Prompt Inclusion Score), SMR (Semantic Match Rate), ARD (AI Reasoning Depth), and PPMA (Prompt Position and Message Alignment)
- Read and interpret Brand DNA Maps and AI-discovered audience personas
- Run competitive intelligence analysis to identify content gaps and strategic opportunities
- Build a practical AI visibility content strategy tailored to their company
Training programme
Pre-training
- Access to the Rankfor.AI platform provided before the training day
- Pre-reading: ”The Zero-Click Reality” briefing — what has changed in search
- Instructions to select a discovery challenge to work on during the training
Day 1 — 4.11.2026, 9:00-16:00 — In-person training, Helsinki (9:00–16:00)
| Time | Module | What participants learn |
|---|---|---|
| 9:00–9:45 | The Shift | Why AI visibility matters now. The zero-click reality. How AI models ”think” about brands and the key principles of AI search visibility. |
| 9:45–10:45 | Your Brand’s AI DNA | Hands-on: scan your own brand with Rankfor.AI, read your Brand DNA Map, and understand your content territories and why AI sees your brand that way. |
| 11:00–12:00 | The Four Metrics of AI Search Quality | Learn PIS, SMR, ARD, and PPMA. Interpret your scores and understand the content quality parameters behind AI visibility. |
| 13:00–14:00 | Building Your AI Search Target Groups | Who does AI think your audience is? How to enhance content relevancy to your target personas in the world of AI visibility. |
| 14:15–15:15 | Build Your AI Discovery Plan or Competitive Intelligence | Option A: Create a content plan for a new target group by building a market initiative and simulating content strategies. Option B: Scan a competitor, compare AI visibility side-by-side, and identify vulnerabilities and opportunities. |
| 15:15–16:00 | New Content Strategy Discussion | Build an AI visibility improvement plan, prioritize content gaps, set measurable goals, and receive the development assignment briefing. |
Development assignment (1–2 weeks between sessions)
- Run a full brand scan and competitor analysis independently using the Rankfor.AI platform
- Draft an AI visibility improvement plan for your company
- Test the ”Dice Roll” consistency tool on key brand prompts to measure AI response consistency
Day 2 — 12.11.2026, 13:00-16:00 —Remote follow-up, Microsoft Teams (13:00–16:00)
- Present and peer-review development assignment results
- Refine AI visibility strategies with expert feedback
- Advanced topics: multi-model consistency and content planning tools
- Q&A and planning next steps
Post-training
- Certificate of completion: ”AI Visibility Analyst”
- Summary playbook: key actions checklist
- Platform access to Rankfor.AI continues for the training period
Your trainer Dmitrij Zatuchin
”In the AI era, being ranked #1 on Google is no longer enough if ChatGPT doesn’t know you exist. I don’t teach theory; I build the platform that forces AI to recognize your brand truth.”

Dmitrij Zatuchin is the founder and CEO of Rankfor.AI, an AI Visibility Performance platform that addresses the zero-click crisis and ensures brands are discoverable in the AI era. With 23 years in IT and a PhD in Computer Science from Wrocław University of Technology, Poland, Dmitrij specialises in Applied Innovation — translating complex semantic web technologies into actionable marketing strategies with measurable revenue impact.
As the lead trainer for the AI Visibility Marketer programme at Business College Helsinki, Dmitrij brings the same methodology used by his enterprise clients to the classroom, with a focus on Generative Engine Optimization (GEO), persona-based simulation, and the ”Dice Roll” protocol for measuring AI consistency.
LinkedIn: linkedin.com/in/dizhat
Why Business College Helsinki?
Business College Helsinki is Finland’s largest private educator in business and information and communications technology, with a history reaching back to 1881. BC PRO professional development programmes are built in close collaboration with industry experts and tailored to real working-life needs. Our student feedback NPS score is consistently excellent.
This training, developed with Rankfor.AI practitioners, brings enterprise-grade AI visibility methodology directly to marketing teams in Finland. You can request company-, industry-, or role-specific adjustments to the content or delivery.
Payment terms
- The participation fee is invoiced in one instalment and must be paid before the training begins.
- Invoices are due for payment no later than 7 days before the training start date.
Cancellation terms
- Free cancellation up to 14 days before the training start date.
- Cancellations less than 14 days before the start: 50% of the training fee is charged.
- Cancellations after the training has started: the full participation fee is charged.
Frequently asked questions
No. The training is designed for marketing professionals with no prior experience with AI tools or platforms. Curiosity and a willingness to work hands-on with the Rankfor.AI platform during the training day are all that is needed
GEO is the practice of structuring and creating content so that AI models accurately represent, cite, and recommend your brand. It builds on traditional SEO but focuses on how AI models reason about and summarise brand information, rather than on keyword rankings in search results.
The four core metrics taught in the training are: PIS (Prompt Inclusion Score – share of AI recommendations), SMR (Semantic Match Rate – content relevance), ARD (AI Reasoning Depth), and PPMA (Prompt Position and Message Alignment – content authority)
Yes. The programme can be delivered as a ready-made training or fully tailored to your company’s industry, marketing goals, team composition, and group size. Contact us to discuss your requirements.
Yes. Participants who complete the full programme — including the development assignment — receive a certificate of completion with the title ”AI Visibility Analyst”
The Dice Roll protocol is a method for testing the consistency of AI model responses about your brand across multiple prompts and AI systems. It reveals how reliably — or unpredictably — AI models describe your brand, helping you identify which content areas need strengthening.
Cancellations made at least 14 days before the training start date (i.e. by 21 October 2026) are free of charge. Cancellations made less than 14 days before the start are charged at 50% of the fee, and cancellations after the training has started are charged the full fee.
Contact information
Marjaana Juotasniemi, Key Account Manager
marjaana.juotasniemi@bc.fi
+358 41 4495 615