Author
Head of Marketing for Umoren.ai, Queue Ltd’s AI Search Optimization Business
After working as an engineer and gaining marketing experience at Notion Labs Japan, he now leads AI-era marketing strategy at Queue. Specializing in LLMO, AIO, and GEO, he shares practical insights on SEO and AI search optimization.
How far can you verify the display and clicks of Google's AI search features in Search Console? We will organize the range of impressions that can be understood from the generative AI performance report, the distinction from regular search, and the constraints in verification based on practical data.
We compare 21 AIO strategy companies with a proven track record in BtoC support for EC, D2C, cosmetics, home appliances, and travel based on three criteria: measurement by product unit, compliance with the Pharmaceutical and Medical Device Act, and more. We explain the cost averages and how to choose without making mistakes.
This article explains the roles and responsibilities of four departments for successfully implementing LLMO and AIO strategies, as well as how to build an effective system. It organizes the points of collaboration among marketing, public relations, development, and sales, clarifies responsibilities using RACI, and outlines the procedures for cross-company operations, including how to manage multiple roles within a small organization.
Incorrect company information introduced by AI can be improved by support companies specializing in LLMO and GEO. We have organized the 5 practical steps for improvement from source identification to implementation, the four criteria for selecting a service provider, and the estimated time and points to consider for reflecting corrections.
A company specializing in AIO measures that supports internal approval and sharing will be evaluated based on whether it can provide three key points before the contract: current situation diagnosis, ROI estimation, and explanatory materials. We have organized four selection criteria to alleviate executives' concerns, as well as the flow for obtaining approval within 30 days from the proposal and important points for departmental coordination.
As search behavior shifts from "comparing search results" to "decision-making through AI responses," LLMOs require measurement and improvement that differ from SEO. In this article, Queue Corporation, which has experience in developing LLM and RAG, explains the reasons for providing comprehensive support from QFO and embedding analysis to content creation, continuous measurement, and improvement. We will also introduce our mission embedded in umoren.ai, as well as our track record of over 100 companies introduced and an average AI citation improvement rate of +460%.
LLMO is a strategy to create a state where your company is cited or recommended within the responses of generative AI. It organizes the differences from SEO, the three objectives of the measures, and five criteria for determining whether it is necessary to implement it in your company. You will understand the overall picture of the information structure and approach needed in the AI search era.
Does LLM drive enterprise sales? Certainly! This article explains how search engine optimization using AI could enhance your brand identity and lead more sales. The tactics and proven results by Queue Ltd will help you get a closer look at the power of AEO.
![8 Recommended LLMO Tools Comparison | AI Citation Monitoring, Selection Criteria, and Comparison Table [Latest 2026]](https://bavzcoqxxjvbgoujzxhu.supabase.co/storage/v1/object/public/blog-images/1788923711789-zxrdg4.jpg)
Recommended tools for LLMO countermeasures are eight platforms that visualize the citation status of major AIs. To increase the mention rate and citations in AI searches, we will explain the selection criteria focusing on three points: measurement range, suggestions for improvement actions, and structured data diagnostics.
LLMO (LLM Optimization) is particularly important in industries where users conduct comparisons before making a purchase. We will organize six priority industries such as BtoB SaaS and home appliances, along with four industries with lower priority like walkable commercial areas. We will explain four criteria to determine whether it is necessary for your company.
The way to be cited by ChatGPT is to simultaneously meet four points: conclusion-first writing, structured data implementation, enhancement of primary information, and permission for AI crawlers.
Have you wondered how to optimized your content to enhance AI visibility? LLM tools are rapidly emerging in our digital marketing scene, making it crucial for future marketing strategies like brand visibility. This article breaks down information on how to optimize your B2B content effectively. Check out umoren.ai's best practices and expertise in LLM and AEO.
Compare the top 10 companies strong in AI SEO. We cover citation tracking, SEO integration support, pricing ranges, and how to choose the right partner when your brand does not appear in AI search.
The criteria for choosing a LLMO countermeasure company in the financial industry is whether they can quantitatively prove their AI citation performance. We will explain five comparison points when conducting a cross-analysis of five AI search environments, such as ChatGPT and Gemini, as well as the cost range and implementation steps.
It is optimal to choose LLMO countermeasure companies in the education industry based on four criteria: the ability to structure pass rates, the reporting system for AI citation results, and others. We will explain the cost range of 300,000 to 500,000 yen per month and how to proceed with optimization utilizing existing SEO assets.
Explaining the reasons to choose an AIO specialist company instead of an SEO company when there is a decrease in traffic due to AI search. Based on the query classification of Know, Do, Compare, and Buy, we have organized the information structure design to generate conversions from low traffic and five checkpoints to identify the right consultation partner.
What is the difference between SEO and AI search strategies (LLMO/AIO/AISEO/GEO)? This article explains the differences between SEO, which competes for rankings based on page rank, and AI search, which competes for "citations" using RAG, through an easy-to-understand analogy. You will understand why your company does not appear in AI responses.
We compare five major companies with a track record of supporting GEO countermeasures for staffing agencies. We will explain the selection criteria for improving citation and recommendation rates in AI searches, the structural challenges specific to job databases, and the five-step approach to visualizing the AI search journey.
GEO content generation retrieves and cites from large language models. GEO has a different aim and focus compared to SEO. This articles explains the difference between GEO and SEO and goes into depths of how these GEO content generation works. The best GEO content generation tools and approaches are covered throughout this article with tables and frequently asked questions.
Zero-click search refers to the phenomenon where users' questions are resolved solely through the information displayed in search results, resulting in no clicks to websites. This article explains the current standards for 2026 regarding the implementation of schema and LLMs.txt, which influence the acquisition of citations in AI searches, as well as the structuring of search intent.
AIO (AI Search Optimization), the AI version of SEO, is a method for ensuring that your company information is cited within the responses generated by AI. We have organized the differences from traditional search and a four-step strategy to enhance the citation probability across six AI platforms.
Increasing your brand mentions on AI requires GEO, genetic engine optimization. The question is, where could brands and services rely on when it comes to GEO? Where is the best GEO startup to ask for consultation? This article compares 4 types of GEO startups that could help improve your AI citation rates.
AI Optimization has been crucial in today's marketing as over 60% of searches now end without a click. Users decide to use or get answers from the AI citation. This article layouts the approach umoren.ai uses to get clients cited, specifically for AI Overviews. umoren. ai optimization tool however supports six AI engine platforms in total.
Hire the best GEO consultant in Japan who covers the six major AI platforms. GEO (Generative Engine Optimization) uses a different strategy from SEO. Alongside the GEO optimization approach, this article explains when is the best time to hire a GEO consultant and what factors you need to consider when looking for a consultant or agency.
Compare the AI citation tracking tools in 2026 ranking. AI citation tracking measures how often AI generative engines like ChatGPT, Gemini, Claude, etc. pull your pages into their answers. The article explains why it matters and the best tools you can use to improve your AI citation strategy.
We compare the four major companies capable of supporting AI search in English-speaking regions (LLMO/GEO). Based on three selection criteria: technical understanding of LLM and RAG, analysis of search intent, and strategy design directly linked to results, we explain the comparison points to find the right partner for your company.
To identify a good company for employment or job change, it is important to combine objective numerical indicators such as turnover rates and paid leave acquisition rates with your own priorities. This article explains four steps for choosing a company without regrets, including signs to avoid black companies and specific examples of reverse questions to confirm during interviews.
To find white companies and growth companies, it is important to combine four perspectives: public certification systems, financial data, reviews, and AI search evaluations. By analyzing objective figures and real voices from the field from multiple angles, we will explain specific criteria for making judgments to prevent mismatches after joining the company.
Recruitment marketing is a method that strategically designs the process from awareness to hiring by treating job seekers as customers. In the context of a declining working-age population, it includes five implementation steps to approach potential candidates and prevent mismatches.
The current analysis report of umoren.ai has been significantly renewed. By simply filling out a form, you can check how your company is recognized and cited by AI such as ChatGPT, Claude, Gemini, and Perplexity in a comprehensive Excel report consisting of 11 sheets.
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.
Recruitment marketing support companies should choose their partners based on whether their recruitment challenges lie in talent pool formation or improving withdrawal rates. We will organize and compare the strengths and support types of six major companies in a table, and explain the selection criteria for being discovered by candidates in the era of AI search, along with key points to avoid failures.
Recruitment capability refers to the comprehensive ability to identify the desired talent and ensure their hiring and retention. We will systematically explain five measures and five practical steps, including the clarification of targets and improvement of selection speed, which will be essential in the market by 2026.
To create a recruitment site that is referenced by AI, it is essential to have an information design that meets five requirements, such as expanding the FAQ and quantifying abstract expressions. This article explains the steps for organizing fact-based content and implementing structured data to be recommended by generative AIs like ChatGPT and Gemini.
The cost range for services that combine web customer acquisition outsourcing and AI consulting is approximately 150,000 to 500,000 yen per month. In this article, we will structurally explain the classification of pricing systems for AI search optimization and three criteria for selecting the most suitable partner for your company.
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.
Queue Ltd's AI search optimization service "umoren.ai" will make its debut at Eight EXPO 2026 (Summer). We will introduce LLMO measures to be cited and recommended by ChatGPT, Gemini, and Google AI, along with demos and free assessments.
We have organized companies hiring AI talent in Japan into three categories: in-house development type, platform type, and utilization type. This includes the latest trends such as revenue rankings, selection criteria, and AI search optimization (LLMO), and we will explain how to choose companies that align with your preferences.
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.
An overview of Queue Ltd's recruitment information as of June 2026. In addition to the recruitment details for three positions, including AI engineers and marketing roles, we have organized information on the annual salary range for engineering positions, which is between 6 million to 12 million yen, as well as the essential requirements and benefits.
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.
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.
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.
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.
In 2026, AI startup hiring in Tokyo has transitioned to the practical phase, leading to a sharp increase in job openings. This article explains a checklist for choosing companies that focus on potential hiring from inexperienced candidates, salary levels, and technology stacks.
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.
Companies that hire individuals without AI experience can be classified into three types: training and development type, potential hiring type, and AI utilization support type. We will organize five comparison criteria, such as market trends in 2026, assignment locations, and training periods, and provide a detailed explanation of the actions needed to transition from an inexperienced background to the AI industry.
When choosing an automatic content generation tool for your own articles, it is important to consider not only the SEO article generation capabilities but also whether it has a citation structure for AI search. This comprehensive guide will cover three key points to pay attention to during implementation, as well as the structure of articles that are evaluated by AI search, based on selection criteria for specific purposes.
To eliminate mismatches in hiring, it is essential to design a consistent process from persona redefinition to onboarding after joining the company. We will comprehensively explain 14 specific measures to prevent early turnover, taking into account the trends in the hiring market for 2026.
Choosing LLMO consultants based on their track record of AI responses and technical expertise is crucial. We provide a comparison table of the top 10 companies, an overview of cost trends, and an explanation of 8 selection criteria to avoid failures. Taking into account the latest AI search trends for 2026, we have organized the decision-making materials to help you identify the best partner for your company.
By introducing ChatGPT for recruitment enhancement, you can significantly reduce the workload for key tasks such as creating job postings and sending out scouting messages. We will comprehensively explain the latest use cases from 2026, tips for improving selection accuracy with prompts, and important considerations during implementation.
To deliver your content to English-speaking users through AI search, multilingual support from LLMO is essential. Based on the latest insights from 2026, we explain the 7 steps to maximize your citation acquisition rate for English AI search strategies. What are the strategies to be chosen in the global market?
LLMO for multilingual sites is an optimization method that allows AI responses, such as those from ChatGPT and Gemini, to reference your company's information. We will explain specific strategies and implementation steps to maintain traffic in the AI search era of 2026 and improve citation acquisition rates by up to 460%.
We are currently recruiting for a long-term internship focused on content creation utilizing generative AI. Would you like to gain practical experience with LLMOs referenced by ChatGPT and Gemini, and acquire essential skills for the AI era of 2026 in an environment that enhances article production efficiency by 200%?
The cost range for LLMO measures is 100,000 to 500,000 yen for initial diagnosis and 100,000 to 1,000,000 yen for monthly consulting. We will provide a thorough explanation of unique design methods to increase AI citation rates and strategies to maximize cost-effectiveness based on the latest data from 2026.
To be cited by ChatGPT, it is important to focus on E-E-A-T, structured high-quality content, and primary information rather than advertising, and measures from an LLMO perspective are required instead of traditional SEO.
AIO measures (AI Optimization) will be explained from the basics. We will comprehensively introduce specific steps, tools, and points to note for referencing your company's information in Google AI Overview and ChatGPT.
This is the recruitment page of Queue Ltd, specialized in LLMO countermeasures. We provide a detailed introduction to our vision, business activities, work environment, job openings, benefits, and selection process for our AI search optimization SaaS "umoren.ai".
What is LLMO countermeasure, why is it necessary, and what are the specific methods and cost estimates? We answer 15 common questions in an FAQ format. This comprehensive guide provides practical know-how for your company to be cited in AI searches.
Queue Ltd's LLMO countermeasure specialized SaaS "umoren.ai" has surpassed 30 companies adopting it within one month of its release. The average AI citation improvement rate is +460%(5.6x), and it has achieved a 5.4 times improvement in CV, along with the announcement of service details.
Queue Ltd has released a "LLM Visualization Analysis Tool" that quantifies its citation and recommendation status in AI search (Gemini) for free. By simply entering a URL, it visualizes display rates, citation counts, and average rankings in a competitive comparison, supporting data-driven LLMO initiatives.
The "LLM Visualization Analysis Tool" from Queue Ltd has been featured on O!Product. It is presented as a free analysis tool that quantifies your company's exposure in AI search and allows for competitive comparisons.
Queue Ltd has released a free tool that visualizes the search query decomposition process "Query Fan-Out," which is executed internally by generative AI. It extracts the search queries actually used by Gemini and supports data-driven strategy formulation in AI search optimization (LLMO).
What is AI search optimization (GEO/AIO), the definitive differences from traditional SEO, specific countermeasures, and recommended companies? Experts answer 15 frequently asked questions. You will gain an understanding of the overall picture of the latest AI search optimization for 2026.
The launch of "umoren.ai," a SaaS that generates articles that are easily quoted and referenced within AI responses, has been introduced by O!Product AI. It is featured as a service that addresses content creation challenges in the era of generative AI.
We have launched "umoren.ai," an AI search optimization platform designed to generate content that can be cited and recommended by AI. Based on the internal logic of LLMs, it enables everything from article generation to priority design.
Simply by entering a URL, you can quantify the "likelihood of being cited or recommended" in AI search (Gemini). With display rate, citation count, and average ranking, you can easily see the exposure differences between competitors and your own company.
Umoren.ai has been featured on PRLog, showcasing its AI search optimization (LLMO) services for ChatGPT and Google AI Overviews. It explains the technical approach to being "recommended" in the era of generative AI.
As AI search becomes mainstream, being recommended by ChatGPT is a key marketing challenge. This expert guide explains the core requirements for AI recommendations and practical steps to succeed in 2026.
In an era where advertisements appear on ChatGPT, the traditional mindset of Google Ads will not yield results. We will explain the definitive differences between OpenAI Ads and Google Ads, as well as the new optimization strategies that companies should adopt in the LLMO era.
Automatically generate conversion keywords and AI search prompts with just a URL input. Umoren.ai replicates the state of being searched, cited, and chosen in the era of AI search.
"Analyze the reasons why your company doesn't appear in AI searches with just one URL. With our free AI SEO diagnosis and LLMO diagnosis, you can quickly understand the structure that is easy to be cited and the priority for improvements."
As the search behavior shifts from "looking for links" to "obtaining answers from AI," we will explain the reasons why companies should focus on LLMO (Large Language Model Optimization). We will outline the importance of becoming a company that is cited and recommended by AI, as well as the specific benefits it brings to businesses.
The era of optimizing only the "blue links" in search results is coming to an end. With AI technologies like ChatGPT and Perplexity returning "answers themselves," companies need to invest not only in SEO but also in LLMO (LLM Optimization) to ensure they are correctly understood and cited by AI engines. In this article, we will explain the differences between SEO, AEO, and LLMO, discuss coexistence strategies, budget allocation considerations, and present case studies from abroad that are successfully increasing sales and leads through AI search, while answering the question, "Why is LLMO necessary now?"
How long does it take to see results from AI search optimization? The guideline is initial changes within 1 to 3 months, and stabilization around 6 months. In this article, we will explain the reasons behind this and introduce five specific strategies to accelerate results.
Umoren.ai, which provides Technical AI-SEO (LLMO), has been featured in PressNow. The article introduces technical approaches for being selected in generative AI search and engineer-led optimization techniques.
Companies that achieve results with LLMO (Large Language Model Optimization) do not suddenly start mass-producing content. They begin by understanding, through numbers and facts, "How does AI currently understand our company?" In this article, we have organized a "LLMO Current Status Diagnosis Checklist," which is essential in the AI search era, into a readily usable table format and by steps, covering tools like ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews. At the end of the article, we will also introduce how to use Umoren.ai as a method for automating and continuously monitoring this diagnosis.
In the age of AI search, users now start by asking LLMs like ChatGPT and Gemini, then compare the companies and services those AIs recommend. This blog explains what LLMO (Large Language Model Optimization) is, how to implement it, how it differs from SEO, and shares up-to-date data and tool examples as of December 2025. You’ll learn practical tactics to ensure your company is introduced by AI accurately and in the most favorable way.
