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Course / Course Details

Generative Engine Optimization: - Literacy for the AI Era

  • Shive Tohan, Former VC image

    By - Shive Tohan, Former VC

  • 180 Hours
  • (0)

Course Requirements

This program is designed for professionals, educators, students, and teams preparing for an AI‑first future. No technical background is required.

Basic digital literacy and comfort using online tools

General familiarity with search engines and AI chat interfaces

English reading and writing proficiency

No coding or prior SEO experience needed

Course Description

This GEO course equips professionals with the skills to make their content visible, credible, and discoverable across AI‑driven platforms. Learners gain practical techniques for structuring information so generative engines can understand, verify, and recommend it. The program covers entity mapping, schema markup, multimodal optimisation, and AI‑engine testing, with every module producing portfolio‑ready outputs. By the end, participants can optimise documents, profiles, websites, and organisational communication for AI‑first discovery and earn a Whiteboard Labs GEO Certificate aligned with professional skilling and CPD standards.


Course Outcomes


Understanding Generative Engine Behaviour

Learners will be able to explain how generative engines interpret, structure, and retrieve information, including the role of entities, knowledge graphs, and machine‑readable content in AI‑driven discovery.

Applying GEO Principles to Professional Content

Learners will be able to apply Generative Engine Optimization techniques to improve the visibility, accuracy, and credibility of professional documents, profiles, websites, and organisational communication.

Creating AI‑Ready, Structured Information

Learners will be able to design content using structured frameworks, schema markup, and entity‑based models that support machine comprehension and enhance generative engine recommendations.

Conducting Entity and Knowledge Mapping

Learners will be able to identify, map, and strengthen key entities relevant to their professional or organisational context, ensuring alignment with AI‑driven knowledge systems.

Implementing Multimodal Optimisation

Learners will be able to optimise text, images, and other media for generative engines, ensuring consistency, clarity, and machine‑recognisability across formats.

Evaluating AI Visibility and Performance

Learners will be able to conduct AI‑engine testing, analyse visibility outcomes, and refine content based on generative engine responses and performance indicators.

Producing a Portfolio‑Ready GEO Project

Learners will be able to develop and present a complete GEO project demonstrating applied skills in AI‑ready content design, entity mapping, schema implementation, and visibility testing.

Integrating GEO Skills into Workplace Practice

Learners will be able to incorporate GEO methods into ongoing professional workflows in communication, marketing, education, HR, branding, and organisational knowledge management.


Course Curriculum

  • chapters
  • lectures
  • quizzes
  • 180 Hours total length
Toggle all chapters
1. Student Study Guide
2. GEO Course Book
3. Schema Template Pack
4. GEO Exercise Book
5. Critical Thinking Self Study Guide
6. Critical Thinking Student Manual

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