Prepare for the shift to AI Search
GEO Training is an intensive, one-day workshop that helps your team analyze brand presence in LLMs, uncover competitive gaps, and build a strategy that connects SEO with AI Search.
Challenge
Is your visibility strategy still built only around Google?
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No visibility in LLMs
You don’t know if your brand appears in AI answers or how it’s presented.
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Competitors gain authority
If they’re cited more often, they win trust before customers reach you.
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No way to measure AI presence
You lack reliable tools to measure and benchmark your visibility in AI search.
Give your team the tools to turn AI Search into a competitive advantage
benefits
Learn to control & grow your AI Search presence
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Analyze brand visibility in LLMs
Learn how to assess brand visibility in language models and identify competitive gaps.
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Build structured monitoring prompts
Understand how to create structured test prompts to measure share of voice in LLM responses, benchmark competitors, and track changes over time.
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Increase AI citation potential
Master the optimal information structure and content architecture design to strengthen your brand’s presence in LLM answers – not only in Google.
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Integrate SEO with AI search strategy
Expand traditional SEO with actions that build citation and authority within LLMs.
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Identify content and link-building gaps
Analyze citation sources and design initiatives that strengthen your domain’s authority.
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Apply ready-to-use tools immediately
Receive checklists, prompt templates, training materials, a session recording, and post-workshop consultation.
Build in-house expertise to monitor and improve AI visibility
A step-by-step learning journey
01.
Foundation: How AI search works
We clarify how LLMs operate and explain the key differences between Google search and AI-generated answers. Participants understand what truly influences brand presence in AI responses.
02.
The rules of visibility in LLMs
We break down the core factors that determine AI visibility: semantics, content structure, user intent, and domain reputation.
03.
Designing your GEO actions
Participants learn how to build monitoring prompts, plan thematic clusters, and define content and authority-building initiatives.
04.
Measuring real impact
We show how to analyze brand share in AI responses and translate insights into strategic decisions.
What you will master during the training
Mechanics of visibility in AI search
Understand how language models construct answers, select sources, and prioritize information. You will clearly see which elements of your current SEO strategy require expansion to include an AI component.
AI-era research and competitive analysis
Learn how to analyze brand presence across both Google and LLMs, build thematic clusters, and identify strategic advantages and visibility gaps compared to competitors.
Designing content for AI models
Discover how to structure content to increase the likelihood of being used by language models – from answer logic and semantic clarity to expert sections that strengthen authority.
Strategic prompting and visibility monitoring
Build your own structured prompt framework to assess brand presence and benchmark competitors. Gain a repeatable system for measuring AI visibility over time.
Technical and reputational foundations of AI authority
Understand how structured data, Knowledge Graph signals, internal linking, and domain authority influence brand citation in LLM responses.
CONTACT
Train your team to master GEO
Book a training session

Your questions
Our answers
Basic knowledge of SEO is helpful but not required. We adjust the level and depth of the training to the participants.
No. GEO expands SEO by adding the dimension of visibility in LLMs and AI search.
Yes. The training is workshop-based and includes analysis of your brand’s presence as well as competitor visibility.
Yes. Participants receive the session recording, checklists, prompt frameworks, training materials, and the opportunity for post-workshop consultation.
Yes. The scope and focus of the training are adapted to your business model and the maturity level of your team.
