ipe Inc. will hold a free online seminar titled “【AIO × Content】Is It Not the ‘Conclusion’ That Gets Cited? How to Create ‘Evidence Data’ Preferred by AI” on Thursday, May 21, 2026. The webinar is recommended for people whose traffic has declined due to the impact of AIO and who feel discouraged about content production; those who want to strengthen AIO measures but do not yet see concrete actions; content managers who want to create content cited by AIO but do not know what information to add; teams that want to build content strategies using their own company data; marketers who feel pressure because competitors are being cited by AIO; and content managers who have not effectively used existing assets such as white papers. According to ipe, content cited by AI Overviews has a common feature: it does not merely present an “easy-to-understand conclusion,” but contains “evidence that is hard to doubt.” No matter how neatly an article is summarized, AI will not pick up the information if it lacks supporting data or primary information. In this webinar, ipe will break down why conclusions alone are not cited, based on actual AIO behavior, and will explain in detail how to create the “evidence data” that AI prioritizes as reference material. The session will also cover reproducible methods such as information design starting from white papers and content creation that incorporates diagrams and numerical data. As a participation benefit, attendees who request it can receive a free LLMO consultation. ipe will invite them to a free consultation session to help solve issues related to LLMO measures. The offer is intended for companies struggling with AI measures, companies that want to increase traffic but do not know how, and companies that have traffic but are not converting it into CVs. Competitors, sole proprietors, and freelancers are asked to refrain from applying for the free diagnosis. Event details: the speaker is Yohei Inoue from ipe Inc.’s Content Group; the even