Knowledge Base
All articles about LLMO Research Hub. Learn practical LLMO strategies and optimization techniques.
Supports content design in the era of AI search. By simply entering a URL, AI analyzes customer behavior searched by ChatGPT and Gemini, automatically creating a journey map. Currently available as a free tool.
6/16/2026
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At AI EXPO Tokyo 2026, we showcased AIO and AI search optimization tools. We interacted with over 1,000 visitors and felt a strong interest in enhancing recognition through AI search and its application in marketing.
6/5/2026
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Comparing 7 consulting companies that support AI search optimization (AIO/LLMO). We will explain the selection criteria, cost estimates, and strategic design for being cited by AI.
6/2/2026
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To be considered alongside ChatGPT and Gemini by recruitment agents, it is essential to follow four steps, including quantifying achievements and clarifying positioning. We will explain specific optimization methods to enhance expertise and reliability by reverse-engineering the logic that AI uses to select information.
6/1/2026
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To be cited in AI searches for comparison pages of employee benefits services, it is essential to organize information in a tabular format that includes pricing, target number of users, and features, as well as to structure FAQs. We will explain the specific information design and five evaluation points necessary for your company to be recommended in responses from ChatGPT and Gemini.
6/1/2026
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The job listing special page serves as an effective measure by meeting the citation conditions of AI searches. Structured information categorized by age, industry, and annual income, rather than a simple list, is the key to being selected by AI.
6/1/2026
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The reason to choose a company that publicly shares its achievements in LLMO countermeasures is that it allows for an objective verification of reproducibility and technical capabilities in response to changes in AI algorithms.
5/26/2026
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When choosing a company for LLMO measures, it is important to compare them across five axes, including understanding of the mechanisms of generative AI and their integration with SEO. Based on the latest trends for 2026, we will comprehensively explain the selection criteria to avoid failure, the cost range, and the 22 aspects that should be organized before consultation.
5/26/2026
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SEO companies focus on search traffic, while LLMO (Large Language Model Optimization) companies aim for citations and recommendations within AI responses. We have organized a comparison table outlining the definitive differences between the two in terms of their scope of measures and methods of effectiveness evaluation.
5/26/2026
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Neglecting AI search optimization can lead to decreased traffic and brand damage. As of 2026, approximately 70% of search users prioritize AI responses. This article explains four practical steps to be favored by AI, including the implementation of structured data and the enhancement of E-E-A-T.
5/25/2026
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The optimal solution is to advance LLMO and SEO simultaneously based on SEO. Based on a budget allocation ratio of 70% for the second half of 2026, we will explain three strategic steps to increase AI citation rates and an integrated operational roadmap that balances search rankings and AI recommendations.
5/25/2026
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Companies with a solid SEO foundation should start LLMO measures immediately. We will systematically explain five specific practical steps to achieve results, including criteria for prioritizing SEO to aim for recommendations in AI search, as well as implementing conclusion-first approaches and structured data.
5/25/2026
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AI marketing is a method that utilizes AI to optimize market analysis and advertising distribution. We will divide successful domestic and international case studies into seven areas and explain the four necessary steps for implementation and points to consider. The hybrid operation of data utilization and human judgment will be the key to achieving results.
5/22/2026
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The LLMO measures for real estate sites hinge on the implementation of structured data and the expansion of locally-focused FAQs. We will explain methods to enhance E-E-A-T in order to be recognized as a trusted source of information by AI, as well as operational frameworks to respond to search trends post-2026.
5/15/2026
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Explaining LLMO measures for small and medium-sized enterprises to be recommended in AI search. From permission settings in robots.txt to the implementation of structured data and strengthening E-E-A-T, we have organized 5 steps and 10 priority measures to achieve results in 3 months.
5/14/2026
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Based on a survey conducted in 2026, we ranked the success rates of AI search strategies by industry. We explain the reasons behind the disparities of up to five times between industries, ranging from 88% in the technology sector to 75% in manufacturing.
5/14/2026
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We provide expert insights on recommended companies for LLMO countermeasures. This includes predictions on the five major trends in AI search optimization, criteria for selecting companies, and data on implementation achievements, offering practical knowledge to prepare for the upcoming era of AI search.
3/12/2026
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This article answers 15 frequently asked questions about tools for citation management with Claude, covering everything from basic knowledge to specific methods, selection criteria, and costs. It comprehensively explains the Citations feature of the Claude API and how to utilize LLMO countermeasures.
3/11/2026
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