[AKARUMI INSIGHTS] LLMO/AIO Strategy Guide for SaaS Companies Released: What Sets 'AI-Cited' Companies Apart?

ipe Inc. (Headquarters: Minato-ku, Tokyo) has analyzed response trends in the SaaS sector within generative AI and AI search engines, publishing insights on the characteristics of information frequently cited by AI and the LLMO/AIO measures SaaS companies should adopt. This study utilized the LLMO analysis tool 'AKARUMI' to examine generative AI responses and source data for prompts related to SaaS companies and services. With the rise of generative AI and AI search, the SaaS comparison and evaluation process is undergoing a major shift. While it was once common to compare articles and review sites via search engines, users now increasingly ask AI questions like 'recommended CRM' and make decisions based on AI-synthesized information. Consequently, how a service is understood by AI has become critical. The analysis revealed that AI tends to prioritize 'information necessary for comparative judgment'—such as pricing, functional differences, deployment conditions, and user evaluations—over simple service introductions. Furthermore, information on third-party comparison and review sites significantly influences AI responses, not just official websites. Moving forward, in addition to traditional SEO, information architecture designed for how services are compared, organized, and cited by AI will be essential. Based on these findings, ipe provides LLMO consulting to help companies ensure their information is correctly understood and cited by AI.