[Free Live] Practical GEO Lecture: Making ChatGPT Recommend Our Brand

Is this what you've been told?

• "Adding schema (structured data) helps with AI visibility" → A controlled experiment of 1,885 pages this year confirmed no effect. In fact, AI Overviews citations were −4.6%.

• "AI also likes it if there are many backlinks" → In an analysis of 75,000 brands, the correlation with backlinks was only 0.27–0.33. YouTube mentions were 0.737.

• "I guess I should just work hard on my Naver Blog" → Naver blocks external AI crawlers. Posts written only on Naver Blog are as good as non-existent to ChatGPT.

A significant portion of domestic lectures and consulting still teach the conventional wisdom mentioned above. In this live session, we will verify what is wrong using data from credible sources and clarify where that time and budget should be directed.

What you will take away from this live session

1. Three Rules of the Game for 2026 — Mentions instead of links, coverage instead of rankings, and the two-track structure of the Korean market (Global AI vs. Naver AI Briefing). All backed by sourced data.

2. The 4 Stages of the Citation Share System — Being Defined → Being Covered → Being Mentioned → Being Measured. I will reveal the framework, which organizes a year of trial and error into an execution sequence, along with actual measurement screens. I will also show the actual screen of the new 'Generative AI' report in Google Search Console right here.

3. Live Diagnosis of Your Brand — We will directly diagnose the brands of 2–3 participants who submitted the pre-mission during the lecture. We will help you identify "what our company should do first" right on the spot.

How to Participate — Pre-mission 「5-Minute AI Visibility Diagnosis」

Take just 15 minutes before the lecture to diagnose your brand yourself. This will turn the lecture from "someone else's story" into "your brand's story."

1. Make a copy of the diagnostic template → [Diagnostic Template Link]

2. Ask 5 questions about your brand to ChatGPT and Perplexity, then record the results.

3. Submit via the submission form → [Submission Form Link] (Deadline: Wednesday, 7/22 at midnight)

Submitter Benefits:

① Candidates for live diagnosis during the lecture (anonymous if preferred)

② Completed execution checklist

③ Invitation to Feedback Live This is a follow-up session that covers how to publicly diagnose submitted brands and create a 90-day roadmap.

After the lecture, the main assignment "Creating a GEO One-Page" will follow.

Directly apply the definition blocks and direct-answer structure learned in the lecture to one of your own pages.

If you have an existing website, modify one page; if not, create a new one using Notion or a free builder.

Your page will be reviewed directly during the feedback live session. You will be invited to the feedback live session even if you submit only one of the diagnosis or the one-page.

Recommended for the following people

• Marketers and Content Practitioners: Those who want to update their SEO knowledge to 2026 standards and obtain supporting data for reporting to their supervisors.

• Startup CEOs and Solo Entrepreneurs: Those who need a system to generate inquiries and sales organically without advertising costs

• Those who have searched for their company on ChatGPT and were surprised because it did not appear, or a competitor appeared instead

Schedule

• Live: July 23 (Thu) 7:30 PM - 8:30 PM + Q&A extended 15 minutes

• Pre-mission (5-minute diagnosis) submission deadline: Wednesday, July 22nd, 12:00 PM (Midnight)

  
  

• Recording: To be uploaded to this challenge after the live session

• Feedback Live (Invitation for those who submitted diagnosis/assignments): To be announced later

Instructor Introduction: Changjin Yoon

CEO of B2B SaaS "Colleges." A person who had to generate revenue through organic growth instead of advertising budgets. For one year, I directly managed six channels—including Naver Blog, website, company blog, inblog, Instagram, and LinkedIn—without using an agency.

That's why I know what doesn't work. I've poured time into schemas and even created llms.txt. Through that trial and error, I achieved actual results in AI citations within a short period, and in this lecture, I will show you everything on screen, starting from the failures.