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GEO Basics: Visibility Strategies in the Age of AI Search

Beyond SEO, understand why GEO (Generative Engine Optimization) is necessary and how your content gets selected as AI generates answers. Start with the concepts and principles rather than tools or settings, then take your first step into GEO through hands-on practice checking whether your site is cited in AI answers.

1 learners are taking this course

Level Beginner

Course period Unlimited

SEO
SEO
Content Planning
Content Planning
geospatial
geospatial
Midjourney
Midjourney
AI SEO
AI SEO
SEO
SEO
Content Planning
Content Planning
geospatial
geospatial
Midjourney
Midjourney
AI SEO
AI SEO

What you will gain after the course

  • Understanding the Fundamental Differences Between SEO and GEO and the Four Stages of AI Answer Generation

  • Identify common misconceptions about GEO and learn a data-driven approach

  • Directly check whether your own site is cited in AI answers


Content selected
in the changing search landscape




I thought all I had to do was improve my search rankings, but the criteria artificial intelligence uses to choose answers have changed.

I have been operating servers for over 20 years, overseeing the cloud migration of large-scale payment services and the operation of hundreds of instances.

Now, see for yourself whether your site is being cited in artificial intelligence answers.
From changes in search to the sources behind citations, build your first strategy based on data—not vague expectations.


What you can gain from this course

Learn the principles behind content being selected in AI search.

Clearly understand the difference between search engine optimization and generative engine optimization, and learn why content is selected through the four steps AI uses to generate answers.

Build strategies based on verification, not intuition. Directly check whether your own website is cited in AI-generated answers, turning vague concerns about visibility into concrete tasks.

With a data-driven perspective gained from operating servers and cloud infrastructure for over 20 years, we distinguish misconceptions about generative search optimization from verified facts.

After the course, you will be able to independently assess your content’s chances of appearing in AI-powered search results.
From concepts to hands-on practice, we will clearly convey the criteria you need to make informed decisions in the field.


When search answers change, the standards must be reestablished.


On the server floor, chasing dawn outages, I learned the power of evidence.

I have operated Linux servers for over 20 years and migrated a data center to Amazon Web Services. Managing hundreds of instances and large-scale payment infrastructure taught me to first verify the numbers and causes.

AI search is no different. Rather than relying on intuition, you need to examine the sources cited in the answers.


Reestablish the criteria for search visibility. Understand how AI generates answers. Check for yourself whether your site is actually being cited. From now on, start by examining the evidence.



Learning Structure

Generative Search Visibility

Section 1

Course Materials and Learning Guide

Check the course materials needed for learning and understand the basic learning direction for generative search engine optimization.

Section 2

Changes in the Search Environment and Course Overview

We examine the shift from traditional search methods to approaches in which artificial intelligence generates answers. We introduce the key topics and learning scope of generative search engine optimization covered in this lecture.

Section 3

Understanding Search Engine Optimization and Generative Search Engine Optimization

Review the concept and role of search engine optimization, and define what generative search engine optimization is. Examine how changes in the search environment are not a temporary trend but a shift that can be verified through data.

Section 4

The AI Answer Generation Process and Visibility Criteria

Compare search engine optimization and generative search engine optimization at a glance, and understand the four steps through which artificial intelligence collects, evaluates, and combines information to generate answers. Learn the exposure strategy that prioritizes being included among the three reliable sources supporting an answer over simply ranking first in search results.

Section 5

Misconceptions and Practice in Generative Search Engine Optimization

We examine three common misconceptions about generative search engine optimization, distinguishing established facts from hypotheses that have not yet been verified. We conduct a hands-on exercise to check whether our own site is cited in AI-generated answers.

Section 6

Key Takeaways and Practical Assignments

In this lecture, we summarize the changes in the search environment, the differences between search engine optimization and generative engine optimization, and how AI-generated answers are produced. We conclude the lecture by introducing an assignment to check whether your company’s website is cited, along with the topics covered in the next lesson.




Who This Course Is Recommended For

Recommended for those who...

Marketers who want to check directly whether their company’s content is cited in AI search results

Business owners and entrepreneurs looking to develop a website visibility strategy in response to changes in search
trends




Notes Before Taking the Course


Practice Environment

  • A modern web browser is required.
    Both Windows and Mac operating systems are supported.

  • Prepare a document creation tool and an internet connection.
    Midjourney is optional.

Prerequisite Knowledge and Notes

  • No coding knowledge is required.
    A basic understanding of search engine optimization is helpful.

  • Experience in content planning and site management will be helpful.
    AI-generated answers may vary with each search.

Learning materials

  • Lecture slide documents are provided.
    Use materials summarizing the
    differences between search engine optimization and generative engine optimization.

  • Prepare your company’s website and search queries.
    By recording whether the AI answers include citations,
    you can compare the practice results.


Recommended for
these people

Who is this course right for?

  • Marketers and SEO professionals who need to respond to changes in the AI search landscape

  • Business owners and entrepreneurs who need an AI visibility strategy while operating a website

  • Digital marketing beginners who want to understand the concept of GEO accurately

Need to know before starting?

  • Experience managing websites or online content

  • Understanding the Basic Concepts of SEO (Search Engine Optimization)

  • Experience using generative AI services such as ChatGPT

Hello
This is jjangkbg7719

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Hello, I'm Frank.

I am an infrastructure engineer who has been wrestling with servers for over 20 years. Starting with Linux server operations, I am now in charge of the cloud infrastructure for a large-scale payment service. My daily life involves migrating from data centers to AWS, managing hundreds of instances, and tracing the causes of failures in the early hours of the morning.

The reason I created this course is simple.

I often received questions like these from those around me: "I managed to connect to the server, but I don't know what to do next." "There are so many instance types; which one should I choose?" These are the exact same points where I got stuck at first. However, when I looked for resources, I found that most of them were written for people who already knew what they were doing.

So I decided to create the course I wish I had when I first started learning.

My lectures are based on three principles.

First, I help you understand rather than memorize. Instead of just listing commands, I explain why we use them in the first place.

Second, I boldly omit unnecessary content. I do not increase the volume by including information that is useless to beginners right now.

Third, I also talk about what doesn't work. Instead of just listing the pros, I clearly point out cases where it might not be a good fit. For someone who has to make decisions in the field, that is more important.

If you feel a sense of "Ah, I should start from here" after listening to the lecture, then my goal has been achieved.

Please feel free to leave any questions you may have at any time.

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16 lectures ∙ (17min)

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