[Advertising x AI] Is AI-Driven Ad Management Dangerous? ~ Operational Risks of Relying on LLMs, as Seen in ipe's Case Studies (Held on Thursday, June 25)
Key facts
- [Advertising x AI] Is AI-Driven Ad Management Dangerous? ~ Operational Risks of Relying on LLMs, as Seen in ipe's Case Studies (Held on Thursday, June 25)
- ipe Inc. will hold a free online seminar titled "[Advertising x AI] Is AI-Driven Ad Management Dangerous? ~ Operational Risks of Relying on LLMs, as Seen in ipe's Case Studies" on Thursday, June 25, 2026.
- Source: PR Times
- Date: June 11, 2026
Direct answer
ipe Inc. will hold a free online seminar titled "[Advertising x AI] Is AI-Driven Ad Management Dangerous? ~ Operational Risks of Relying on LLMs, as Seen in ipe's Case Studies" on Thursday, June 25, 2026.
- Citation
- [Advertising x AI] Is AI-Driven Ad Management Dangerous? ~ Operational Risks of Relying on LLMs, as Seen in ipe's Case Studies (Held on Thursday, June 25) (June 11, 2026), PR Times
- Source
- PR Times
- Date
- June 11, 2026
ipe Inc. will hold a free online seminar titled "[Advertising x AI] Is AI-Driven Ad Management Dangerous? ~ Operational Risks of Relying on LLMs, as Seen in ipe's Case Studies" on Thursday, June 25, 2026.
📋 Article Processing Timeline
- 📰 Published: June 11, 2026 at 20:10
- 🔍 Collected: June 11, 2026 at 11:21
- 🤖 AI Analyzed: June 11, 2026 at 13:23 (2h 1m after Collected)
ipe Inc. will hold a free online seminar titled "[Advertising x AI] Is AI-Driven Ad Management Dangerous? ~ Operational Risks of Relying on LLMs, as Seen in ipe's Case Studies" on Thursday, June 25, 2026.
Webinar details page is here
Registration is here
Recommended Audience
- Advertising managers who cannot judge whether AI proposals are "truly correct"
- Advertising managers whose results have stagnated using AI-based operations
- Advertising managers who feel the limits of in-house advertising
- Advertising managers who are uneasy about operations that only chase short-term numbers (CPA)
- Advertising managers who want a professional to review their company's ad account
Seminar Content
Recently, the use of LLMs (Large Language Models) and in-house development in ad operations have been attracting attention. However, at the same time, an increasing number of companies are facing walls such as "we can't get any more results" or "we don't know if the AI's proposals are really correct."
The reason for this is that AI makes judgments based on only "a portion of the data." This webinar will explain in an easy-to-understand manner for beginners the pitfalls of relying solely on AI for operations. We will introduce a "professional end-to-end approach" to compensate for the limitations of AI and achieve results that consider the entire business.
On the day, in addition to a self-check that allows you to understand your company's operational status in 5 minutes, we will also offer a "free advertising account diagnosis" benefit where you can receive a future improvement report. This webinar will provide a clear answer to "how to use AI to get better results."
Webinar Participation Benefits
Participants who wish to do so will receive the following benefits:
◆ "Free Advertising Account Diagnosis"
⇒ We will invite you to a consultation session to solve your advertising operation concerns.
This content will be useful for those who have the following concerns:
- CPA is stuck at a high level
- The quality of acquired CVs is low, etc.
*Regarding the "Free Advertising Account Diagnosis,"
Please refrain from participating if you are in the same industry or are a sole proprietor/freelancer.
Event Overview
Speaker
Shota Hayashi
Date
Thursday, June 25, 2026
Time
14:00 - 15:00 (Room opens 15 minutes before)
Location
Webinar
Participation Fee
Free
*Please refrain from participating if you are in the same industry.
Webinar Content
- What is happening in the field of ad operations now?
- Why does LLM-dependent ad operations hit a ceiling? - Three structural reasons
- Seeing the real losses of relying on LLMs through two case studies
- The correct answer in the LLM era - ipe's end-to-end approach
- Introduction to the free advertising account diagnosis
Registration is here
Speaker
Shota Hayashi, Advertising Team Leader, ipe Inc.
Experienced in multiple specialized fields including data analyst, account planner, and web advertising operations, he currently leads the advertising team, driving the growth of numerous clients.
Starting from data analysis, he designs operational strategies across various advertising media including Google and Meta, and is consistently responsible for planning, executing, and improving measures directly linked to CPA improvement and ROAS enhancement. He accurately captures the rapidly changing trends of digital marketing and steadily increases advertising results for each company.
Phone: 03-6455-5871
Inquiry Form: https://ipeinc.jp/contact/
About ipe Inc.
ipe Inc. is a digital marketing company that supports companies in being correctly recognized, cited, and selected by search engines and generative AI through SEO and LLMO consulting.
For over 13 years, we have provided SEO support primarily for large-scale and database-type websites, supporting over 300 companies. Currently, we are leveraging this knowledge to strengthen our LLMO support while also providing "AKARUMI," an analysis platform that visualizes brand exposure on AI search and LLMs.
Company Name: ipe Inc.
Head Office: 5F, Aoyama Tower Building, 2-24-15 Minami-Aoyama, Minato-ku, Tokyo 107-0062
Established: October 2013
Business: Web consulting business, media business, advertising business, etc.
Corporate Website: https://ipeinc.jp/
Phone: 03-6455-5871
FAQ
How much does this webinar cost?
It is free. However, those in the same industry are asked to refrain from participating.
When is the webinar held?
It will be held on Thursday, June 25, 2026, from 14:00 to 15:00.
Who is the speaker for the webinar?
Shota Hayashi, the Advertising Team Leader at ipe Inc.