[1 Day Left, Limited Spots] PR Seminar to Solve "I Don't Know What to Do for LLMO Countermeasures," Happening July 10 (Fri) [Previous Satisfaction Average 4.8/5.0]

Todo-o-nada Inc. (Headquarters: Taito-ku, Tokyo; Representative Director: Yasuyuki Matsumoto), which operates the PR effect measurement service "Qlipper," will hold a free online seminar for PR professionals titled "Seminar to Solve 'I Don't Know What to Do for LLMO Countermeasures'" on July 10, 2026 (Fri) at 2:00 PM. With only one day left until the event and very few spots remaining, this is an additional session due to high demand. The previous session (June 26) was fully booked and received a high satisfaction rating of 4.8 out of 5.0 on average. This session will cover the same content. Seminar materials can be downloaded in advance. Application URL: https://forms.gle/WoiqhHKU6CMKCJwx9 Material Download: https://forms.gle/reXP1r51oTWA6yFCA

1. Background of the Event: Why "Starting Next Month" is Already Too Late

The first session of this seminar (June 26) was fully booked, and in the participant survey, all attendees rated their satisfaction as "4" or higher (on a 5-point scale), with approximately 80% giving the highest rating of "5." Around 80% of respondents expressed a desire to "share this with colleagues," leading to the decision to hold this additional session with the same content.

The background to this is a pressing issue common among PR professionals. AI operates based on accumulated text data from the past. Companies that are not active now will not exist in the AI world of tomorrow. Starting next month or next year will only widen the gap with competitors.

While people are told that "LLMO countermeasures are necessary," they don't know where to start. This seminar aims to provide a correct understanding of how AI acquires information and to offer concrete actions that can be taken immediately. Previous participants have commented, "I was able to organize what needs to be done for PR and marketing (SEO)," and "I realized I had a misunderstanding of how AI works."

2. What You Will Learn in This Seminar

1 AI May Not Know Your Company AI provides answers based on text accumulated up to its learning completion point. If your company's information is not sufficiently accumulated in reliable media, AI will answer as if it "doesn't know" your company. Understanding how your company is recognized by AI is the starting point for everything.

2 Much of the So-Called "AI Countermeasures" Aren't Even Seen by AI Many measures marketed as "LLMO countermeasures" do not actually affect AI learning. This seminar will explain what is effective and what is ineffective, differentiating based on how AI acquires information. You will gain the criteria to avoid wasteful investments.

3 Competitors Are Widening the Gap Every Day Accumulation of data for AI does not happen overnight. If competitors first accumulate the connection between "customer issues" and "their company name," the cost for latecomers to overwrite that data will be significant. We will convey the sense of urgency that prompted approximately 80% of previous participants to say they wanted to "share this with colleagues."

4 Accumulation in the Wrong Direction is Irreversible Acting without understanding the mechanism can lead to accumulating investments in the wrong direction. Because these are cumulative measures, continuing in the wrong direction becomes the biggest risk. We will explain the thinking process for setting the correct direction from the start.

5 You Can Diagnose Whether You Are Moving in the "Right Direction" While the AI's recommendation probability itself cannot be measured, there are ways to check if you are investing in the right direction. We will introduce specific steps, including "target query definition" and "connection diagnosis," which approximately 30% of previous participants responded they wanted to "try."

3. Event Overview

Date and Time: July 10, 2026 (Fri) 2:00 PM - 3:00 PM (scheduled)

Format: Online (Zoom)

Capacity: 20 people

Participation Fee: Free

Speaker: Tatsuya Shiraishi (Director, Todo-o-nada Inc.)

Application URL: https://forms.gle/WoiqhHKU6CMKCJwx9

4. Speaker's Comment

"The more I research AI and LLMO, the more I return to the essence of PR. The difference between companies recommended by AI and those that are not lies not in special technical measures, but in whether the customer's issues and the company name are accumulated in reliable media in the correct context. Moving without correctly understanding the mechanism will only lead to accumulating investments in the wrong direction. This seminar will provide PR professionals with concrete directions they can act on immediately." - Tatsuya Shiraishi, Director, Todo-o-nada Inc.

5. Related Services

PR Effect Measurement Service "Qlipper" A monitoring service that tracks over 4,000 web media outlets in Japan in real-time, automatically collecting and analyzing published articles. It allows for quantitative grasp of PR effects through competitor comparison, virtual PV, and ad equivalency.

AI Agent "Qoddler" An AI agent function that allows you to retrieve your company's accumulated PR data from Qlipper in a chat format. It significantly improves PR work efficiency, from daily fixed-point checks and monthly report creation to strengthening media relations.

AI Recommendation Measurement Tool "DigiDigi" A tool that continuously diagnoses whether AI is likely to recommend or mention your company. It visualizes whether the conditions for being recommended are met, rather than the recommendation probability itself.

6. Company Overview

Company Name: Todo-o-nada Inc.

Representative: Representative Director Yasuyuki Matsumoto

Established: January 20, 2020

Location: Yabiko Bldg. 302, 7-11-13 Ueno, Taito-ku, Tokyo

Business Activities: Development and operation of cloud services for corporations, system consulting business

URL: https://todo-o-nada.com

[Inquiries Regarding This Press Release]

Todo-o-nada Inc. Qlipper Management Office

Email: qlipper@todo-o-nada.com

TEL: 03-6453-6886