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Since May 2026
Instructor since May 2026
AI-mediated world - Citation Economy & Definitional Authority
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From 688.66 C$ /h
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The zero-click search era is no longer a future prediction—it is our current reality. With over 60% of web searches ending without a single click, traditional SEO strategies, keyword rankings, and legacy traffic funnels are rapidly becoming obsolete. In this AI-mediated world, discovery happens inside the "dark funnel" of large language models, where platforms like ChatGPT, Gemini, Perplexity, and Google AI Overviews act as the primary interface for your audience.

Your new digital currency is no longer the website click; it is the AI citation.

This masterclass is designed for executives, digital transformation leaders, and marketing strategists who want to pivot from obsolete traffic metrics to AI visibility. Participants will learn how generative engines parse, prioritize, and select the brands they trust. We will break down real data from millions of AI responses to uncover the exact profile of content these models prefer—focusing on open, structured knowledge hubs, informative comparative assets, and definitive educational content.

Move beyond fighting for vanishing organic traffic. Learn how to optimize your digital infrastructure for AI extraction, position your brand as an authoritative industry source, and build lasting consumer trust in a world where the machine is the interface.
Extra information
What You Will Learn
The Anatomy of the Dark Funnel: Understand the fundamental shift from linear click-based traffic to AI-mediated discovery and pre-qualified, high-intent conversions.

AI Selection Mechanics: Demystify how LLMs analyze data to choose which brands make the cut and which remain invisible.

Content Architecture for LLMs: Practical frameworks for structuring information, leveraging schema markup, and placing high-value insights where AI models scan first.

Becoming the Definitional Authority: How to build robust glossaries, honest comparative content, and open knowledge hubs that AI platforms return to repeatedly.

Generative Engine Optimization (GEO): Auditing and executing a modern visibility strategy that ensures your brand is repeatedly cited as the ultimate answer.
Location
location type icon
Online from Israel
Age
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Advanced
Duration
60 minutes
90 minutes
The class is taught in
English
Spanish
Availability of a typical week
(GMT -04:00)
New York
at teacher icon
Online via webcam
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
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• Defining and narrowing a research problem
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• Quantitative research design
• Qualitative research design
• Mixed-methods research
• Experimental, observational, survey, and case-study approaches
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• Sample-size considerations
• Questionnaire and survey design
• Reliability and validity
• Operationalization of variables
• Coding plans and data preparation
• Research ethics and responsible data handling
• Selecting appropriate analytical methods
• Developing a coherent data-analysis plan
• Interpreting quantitative and qualitative findings
• Structuring methodology and results chapters
• Connecting findings to research questions and hypotheses
• Discussion, limitations, implications, and recommendations
• Responding systematically to supervisor feedback
• Preparing to explain and defend methodological decisions

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• Project objectives and success criteria
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• Work Breakdown Structure (WBS)
• Activity definition and sequencing
• Network diagrams
• Critical Path Method (CPM)
• PERT and schedule uncertainty
• Milestones and deliverables
• Resource planning and allocation
• Cost estimation and budgeting concepts
• Project scheduling and control
• Risk identification, analysis, and response planning
• Stakeholder analysis
• Communication planning
• Quality and performance monitoring
• Change management
• Traditional, Agile, and hybrid approaches
• Construction and engineering project contexts
• Microsoft Project workflows
• Primavera planning and scheduling
• Diagnosing delayed or underperforming projects
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• Skills-gap analysis
• Career-transition planning
• Professional positioning and value proposition
• CV and résumé strategy
• Matching experience to job requirements
• Preparing for behavioral interviews
• Preparing for technical and analytical interviews
• Structuring evidence-based answers
• STAR and other response frameworks
• Developing strong professional examples and stories
• Mock-interview practice
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• Communicating complex experience concisely
• Preparing for questions about strengths, weaknesses, conflict, leadership, failure, and problem solving
• Interview preparation for academic, technical, engineering, analytical, and management roles
• Building a realistic professional-development plan

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define the objective → diagnose the current situation → identify constraints → select the appropriate methodology → build the plan → execute → monitor → evaluate → communicate the result → improve

We can work with your research proposal, thesis plan, supervisor feedback, conceptual framework, questionnaire, methodology chapter, project schedule, WBS, risk register, MS Project or Primavera file, CV, job description, interview questions, or professional-development challenge.

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My goal is to help you become the genuine owner of your research, project, or professional path—able to explain your decisions, manage complexity, communicate clearly, and move forward independently.
Good-fit Instructor Guarantee
favorite button
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Contact Daniel