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Have you ever wondered how your company's name or services are introduced in "AI searches" like ChatGPT and Gemini? As the entry point for searches expands from traditional search result pages to AI responses, there is growing attention on the efforts to check and improve "how AI describes your company." This is the response to AEO, GEO, and LLMO. In this article, we will clearly compare eight key tools that can be used for these measures from the perspectives of functionality, supported AI, and cost. We will explain technical terms as simply as possible, so even if you are unsure of where to start, please read until the end. *You can view the detailed content of the article through the related links. For more information, feel free to contact us.*

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As generative AI search expands, the way corporate information is viewed has changed significantly. Unlike before, where users would open multiple pages from search results to compare, there are now more instances where AI organizes information in advance and summarizes the features of companies and services. In this context, it is not only important how to be discovered by AI. It is necessary to design how to be understood by AI and how to be positioned in comparison to competitors. The key focus here is AEO (Answer Engine Optimization). While SEO remains important, simply improving search rankings is not enough in the era of generative AI search. Only by advancing information design that is easy for AI to reference and properly conveying the corporate image can a strong position in generative AI search be established. This article will outline the concept of generative AI search optimization and the measures that companies should take in practice. It will explain how to leverage SEO while placing AEO at the center of the discussion. *For detailed content of the article, please refer to the related links. For more information, feel free to contact us.*

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AEO measures on IR sites involve organizing information so that when corporate information is referenced through AI searches or summary UIs, the business content, strengths, and management policies are conveyed consistently. When we think of AEO, it may seem like a strategy to increase special expressions for AI. However, what is important on IR sites is to clearly organize the existing corporate information for external readers. *For detailed content of the article, you can view it through the related links. Please feel free to contact us for more information.*

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As generative AI becomes more commonly used, the ways in which customers obtain information about companies are quietly changing. Instead of using search engines, they are asking ChatGPT or Gemini questions and using the answers they receive as the basis for their judgments. This behavior is spreading across both B2B and B2C sectors. The problem is that the answers provided by AI are not always accurate. Risks arise from outdated data, biased training, and what is known as "plausible lies," or hallucinations, which can unknowingly damage a company's reputation. This article will outline the overall picture of AI reputation risk and explain what companies should do in response. *For more detailed information, please refer to the related links. Feel free to contact us for further inquiries.*

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The "Messy Middle" refers to a complex and nonlinear consideration process in which consumers repeatedly navigate between "exploration (broadening options)" and "evaluation (narrowing down candidates)" from the trigger of a purchase to the actual purchase decision. Unlike the traditional linear funnel model of "awareness → consideration → purchase," modern consumers create a decision-making path that is as convoluted as spaghetti by frequently expanding and narrowing their options during the consideration process. For example, when searching for a laptop, one might look up recommendations to broaden the options, read reviews to narrow them down, and then discover another model that increases the options again, illustrating the back-and-forth of "broadening → narrowing → broadening again," which is the essence of the Messy Middle. *For more detailed information, please refer to the related links. Feel free to contact us for further inquiries.*

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"Even though we are doing SEO, our company does not appear in AI searches." More and more web managers and marketers are beginning to notice this situation. The cause of this is largely due to the lack of a perspective on AEO (Answer Engine Optimization). AEO measures refer to efforts to design information structurally so that AI search engines can accurately understand and cite companies and information. While SEO aims to "increase search rankings," AEO aims to be "cited and recommended in AI responses." This article systematically explains the background of the need for AEO, as well as the specific measures and practical steps to take. *For detailed content of the article, please refer to the related links. For more information, feel free to contact us.*

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"Even though we are ranked high in SEO, we are not even considered in AI searches." Such voices are being heard from marketing professionals in B2B companies. The reason is that the mechanism of AI search is fundamentally different from traditional search. In AI search, instead of users comparing multiple search results, the AI narrows down the candidates and presents them from the start. In other words, whether or not a company is even included as a candidate becomes the critical point. In this structure, what is needed is not search ranking, but a brand strategy that correctly conveys to the AI "what kind of company it is." This article will outline the overall brand strategy that companies should adopt in the era of AI search, organized in the order of conditions that make them more likely to be chosen, pitfalls that are easily misunderstood, and specific points for review. *For detailed content of the article, please refer to the related links. For more information, feel free to contact us.*

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Starting from the question of what basis companies are judged on in AI searches, we will organize the characteristics of easily referenced information, discrepancies in perception, and evaluation differences when compared to competitors, and explain what changes with optimization. AI searches assess a company's image from multiple perspectives, including not only official information but also external evaluations and contextual consistency. The following points are important: ■ Is the primary information (official communication) clear? ■ How is it evaluated or mentioned by third parties? ■ In what context is the name mentioned? ■ Is there consistency in the information (are there contradictions between official and external sources)? ■ Transparency (are prices, conditions, and operational structures disclosed)? AI tends to view information about companies as a "surface" rather than as "points," so establishing a solid foundation as a whole is the first step in countering AI searches. *You can view the detailed content of the article through the related links. For more information, please feel free to contact us.*

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A joint project with the Career Design Department of Hosei University has published a job hunting ranking using AI analysis with Agentsense. This is a special page that summarizes corporate rankings by six categories and by the 16 types of MBTI. The "six axes of job hunting indicators" and "MBTI × corporate compatibility data" visualized through AI analysis will be analyzed and published using the AEO agent "Agentsense." This ranking was created based on the job hunting axes defined by students of the Career Design Department of Hosei University, presenting the "perception of companies" in a ranking format from both student and AI perspectives. *For more details, you can view the related links. Please feel free to contact us for more information.

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Our company supports the enhancement of RevOps through the integration of sales and AI, starting with the utilization of AI agents. By appropriately selecting and integrating information obtained from the field, we realize a structure that maximizes the value of AI usage. We extract the real situations and insights of the sales field that cannot be understood by KPIs alone from "unstructured data" and transform value at each layer. [The World We Can Realize] ■ The quality of judgment stabilizes without becoming personalized. ■ Decision-making continues without sacrificing speed. ■ The premises of judgment remain, and learning accumulates as an organization. *For more details, please download the PDF or feel free to contact us.

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"secondz Agentsense" is an AI agent that serves as an "AI search optimization OS" to support AEO/GEO measures and brand management in the AI era. An AI agent that manages brands for AEO/GEO. In the future, the agent will also execute improvement proposals. Additionally, it can utilize contextual data from various data partners. 【Features】 ■ Acquisition of information from multiple AI platforms/agents ■ Measurement of awareness (own company/competitors) and favorability (own company) ■ Acquisition of source/reference/advertisement placement/mention consistency ■ Improvement proposals ■ Measurement of AI access *For more details, please download the PDF or feel free to contact us.

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