Question 1

Why do the companies introduced by AI change depending on how the question is asked?

Accepted Answer

AI conducts multiple searches behind a single question to gather information and create an answer. Changes in the phrasing or conditions of the question can alter the searches conducted and the information referenced, which may result in different companies being introduced in the answer.

How does AI conduct searches behind the questions?

AI generates multiple related search terms based on the received question and combines the search results to create an answer. This mechanism is called Query Fan-Out (QFO).

Queue Inc. analyzed 35,482 questions entered into the free QFO analysis tool of umoren.ai (from February 5 to May 27, 2026, ChatGPT and Gemini). The analysis showed that up to 33 searches were conducted for a single question. For more details on the study, please see Queue Inc.'s Query Fan-Out Study.

Why do the companies introduced change when the phrasing changes?

AI determines the search terms based on the content of the question, so even for the same topic, changes in phrasing or conditions can alter the searches conducted and the information sources obtained. As a result, the companies or explanations introduced in the answer may change.

The same study showed a tendency for AI to conduct more searches as the questions become more detailed. In ChatGPT, questions with more than 80 characters resulted in about twice as many searches compared to short questions with less than 30 characters. The study analyzed that the more specific the conditions such as budget, region, and purpose are written, the more AI separates and searches for each condition.

Note that even the same question may not always yield the same answer. The reasons for this are introduced in the Explanation of AI Search Mechanism.

What should I do if my company appears or does not appear depending on the question?

It is important not to judge based on a single phrasing, but to check how AI conducts searches and which information it references for multiple questions that potential customers might ask. Since potential customers may add conditions such as budget, region, and purpose to their questions, it is also important to confirm whether information corresponding to those conditions is publicly available.

The approach when only competitors are introduced is explained in Reasons Why AI Introduces Only Competitors. You can first check how your company is viewed in AI searches with the free current status analysis report from umoren.ai. The list of questions used for the analysis and the content of the searches (QFO) conducted by AI will be delivered in Excel within 24 hours of application.

Question 2

Why does the AI only recommend competitor companies?

Accepted Answer

The reason AI only recommends competitor companies is likely because the information collected by AI to answer questions contains more information about competitors, while information about your own company is either not found or difficult to read. The first step is to check which questions are being asked and what information is being referenced.

How does AI choose which companies to recommend?

AI performs multiple searches related to the question and combines the information sources found to create an answer each time. It does not select companies from a predetermined ranking.

In a study conducted by Queue Inc. analyzing questions input into umoren.ai's free QFO analysis tool, up to 33 searches were conducted for a single question. The content of the search changes depending on how the question is asked, as explained in Why the companies recommended by AI change based on how questions are asked.

What are the main reasons competitors are recommended?

There are four main reasons considered. Queue Inc. checks the differences between your company and competitors from these perspectives.

Information not found: Information corresponding to the AI's search is not publicly available for your company.
Difference in theme coverage: Competitors provide a wider range of information on themes related to the question.
Difference in readability: Your company's information is not organized in a structure or granularity that AI can easily read and compare.
Difference in treatment outside your own site: AI also refers to external sources, so the way your company is treated in comparison or introduction articles can have an impact.

What information does AI use when comparing companies?

AI primarily uses the content of information sources obtained through searches related to the question. Therefore, even if information is available on your company's site, if it does not match the content searched by AI, it is less likely to be used as a comparison material.

At umoren.ai, we analyze the content AI actually refers to and generates for the target questions, identifying which contexts or perspectives are lacking compared to competitors. For more details, please see umoren.ai's technical explanation.

Is there a way to verify why our company is not being recommended?

You can verify by comparing how much your company and competitors are mentioned by AI and which information sources are cited. Since AI's answers change depending on the question and timing, it is important not to judge based on a single result but to check with multiple questions.

You can first check how your company is viewed in AI searches with umoren.ai's free current status analysis report. Mention rankings, citation shares, and cited information sources will be delivered in Excel within 24 hours of application. If you wish to discuss countermeasures based on the results, please contact Queue Inc.. However, it is not guaranteed that countermeasures will ensure your company is recommended by AI.

Question 3

Does Queue Inc. hire new graduates?

Accepted Answer

Queue Inc. does hire new graduates. We are recruiting for various positions such as engineers, business, and marketing in the forms of full-time employees, contractors, and interns. No resume or work history is required during the selection process, and you can start with a casual interview.

Is Queue Inc. hiring?

Yes, Queue Inc. is hiring full-time employees, contractors, and interns. We are an AI search optimization (LLMO) technology company established in April 2024 with headquarters in Ginza, Chuo-ku, Tokyo, and we are looking for new team members as we expand our business.

For company details, please see Queue Inc. company information.

What positions are you hiring for?

Queue Inc. is hiring for positions in engineering, business, marketing, consulting, and internships.

Position	Main Responsibilities
AI Engineer	Develop core functions of umoren.ai using LLM/RAG, design prompts, and build evaluation frameworks
Full Stack Engineer	Develop umoren.ai products with a focus on Next.js/Supabase
Sales	Corporate sales proposing AI search optimization tools and consulting
CS (Customer Success)	Address client challenges and lead the implementation and operation support of umoren.ai
Marketing	Design and execute growth strategies for Queue through content marketing, SEO/LLMO, PR, etc.
Manager Candidate (Consulting)	Lead strategy design and execution for search marketing in the AI era
Intern (All Positions)	Students and young professionals interested in AI/LLM can participate in cross-functional business creation

You can check the job descriptions and application requirements for each position on the recruitment information page.

Can I apply if I have no AI experience?

You can apply. Queue Inc. values interest in the AI field, a continuous learning attitude, and the ability to enjoy hypothesis testing over practical experience in AI. Many members with backgrounds in fields other than AI are also active.

However, some positions, such as AI Engineer, require practical experience as an application condition.

What is the selection process like?

The selection process at Queue Inc. progresses through five steps from entry to offer. No resume or work history is required during the selection process.

Entry: Submit required information and profile via the application form
Casual Interview: Explanation of Queue's business and culture and alignment of directions
Interview: Interview with field members and representatives to confirm skills, orientation, and cultural fit
Task/Practical Interview: Simple task or practical interview depending on the position
Offer: Present conditions and confirm final intentions for joining

Are you also hiring interns?

Yes, Queue Inc. is hiring paid interns for all positions. The hourly wage is between 1,500 yen and 2,500 yen, with a guideline of working at least three days a week and a total of 24 hours or more, and there is a system for full-time employment.

For details on job content and conditions, please see Queue Inc. Internship.

What types of employment are available?

The types of employment at Queue Inc. are full-time, contractor, and intern.

Employment Type	Main Target	Conditions
Full-time	New graduates and mid-career	Determined based on position and skills (e.g., expected annual salary for AI Engineer is 6 million to 12 million yen, Sales is 4.5 million to 8 million yen, including biannual bonuses)
Contractor	Side jobs and freelancers	Flexible design based on project or working hours
Intern	Students and young professionals	Hourly wage of 1,500 yen to 2,500 yen, at least three days a week and a total of 24 hours or more (guideline)

Working hours and remote work options are explained in Queue Inc. Work Environment.

Where can I apply?

You can apply via the application form on Queue Inc. Recruitment Information or by requesting a casual interview. You can consult from a casual interview even if you have not yet decided on your level of interest.

Question 4

What does Queue Inc. do?

Accepted Answer

Queue Inc. is a technology company primarily focused on the LLMO (AI SEO) business, while also expanding into ChatGPT advertising management support. Through its business brand 'umoren.ai', it assists companies in being cited and recommended in AI searches like ChatGPT and Google AI Overviews.

What are the main business activities of Queue Inc.?

The main business activities of Queue Inc. are LLMO (AI SEO) and ChatGPT advertising management support.

LLMO (AI SEO) Business 'umoren.ai'

This business supports companies in being discovered, cited, and recommended in AI searches like ChatGPT and Google. Under the brand 'umoren.ai', it offers AI search consulting, LLMO consulting for recruitment, and a content generation platform (SaaS). It also provides the 'AI Buzz Engine' in collaboration with CyberBuzz Inc.

More than 100 companies have adopted it cumulatively, spanning various industries such as CyberBuzz, KINUJO, Peach Aviation, and RENATUS ROBOTICS. The average improvement rate in AI citations is +460%. It has a track record of over 5,000 articles created, with a customer satisfaction rate of 98%.

ChatGPT Advertising Management Support

This service involves delivering advertisements within the conversational context of ChatGPT, providing end-to-end support from advertising strategy, Context Hints design, ad copy creation, LP improvement, to measurement environment setup.

For details on each service, please refer to Queue Inc.'s Services, and for technical strengths and case studies, see Queue Inc.'s Strengths.

Is Queue Inc. a startup?

Yes, Queue Inc. is a startup established in April 2024, specializing in AI search optimization (LLMO). It is not a company based on SEO operations or web marketing, but rather an LLM engineering team that designs information based on what AI reads, compares, and adopts in its responses.

While Queue Inc. provides SaaS, it is not solely a SaaS company, as it also offers AI search consulting.

Company Overview

Item	Details
Company Name	Queue Inc.
Established	April 2024
Location	8-17-5 Ginza, Chuo-ku, Tokyo
Business Activities	LLMO (AI SEO) Business, ChatGPT Advertising Management Support
Business Brand	umoren.ai

Our mission is to "create a world where authenticity is chosen by AI." For employee numbers and values, please see Queue Inc.'s Company Overview Page.

Question 5

What are the main services offered by Queue Inc.?

Accepted Answer

The main services offered by Queue Inc. are AI Search Consulting, Recruitment LLMO Consulting, and a Content Generation Platform (SaaS) under the business brand 'umoren.ai'.

We have over 100 client companies (cumulative), with an average AI citation improvement rate of +460%.

What are the features of each service?

The three services share the same goal of creating a state where companies are cited and recommended in AI searches, but the targets and methods of support differ.

Service Name	Features
AI Search Consulting	From analyzing AI citation status to strategy design, content creation, and improvement cycle management, a specialized team provides ongoing support.
Recruitment LLMO Consulting	In an era where job seekers consult AI about companies and reputations, we support companies in being correctly understood and recommended in the recruitment context.
umoren.ai Content Generation Platform	Provides query fan-out analysis, AI recommendation content generation, and AI exposure tracking via a dashboard.

Additionally, we offer ChatGPT advertising support and 'AI Buzz Engine' in collaboration with CyberBuzz Inc. You can view the full list of services on the Queue Inc. services page.

What kind of service is umoren.ai?

umoren.ai is Queue Inc.'s business brand for AI search optimization (LLMO).

We provide consulting and tools tailored to ensure companies are cited and recommended in AI searches like ChatGPT, Gemini, Claude, Perplexity, and Google AI Overviews.

Visibility Analysis: Analyze how your company is displayed and cited in AI searches.
Strategy Design: Design information structures and themes based on which AI queries should mention your company.
Content Improvement: Create and improve content structures that are easy for AI to reference.
Continuous Improvement: Measure appearance in AI responses before and after improvements and continue to enhance.

Our technical strengths and implementation achievements are explained in Queue Inc.'s strengths.

What is the difference between umoren.ai and SEO tools?

While traditional SEO tools aim to improve rankings in search results, umoren.ai aims to be cited and recommended in AI responses.

Details of the comparison are explained in the difference between umoren.ai and SEO tools.

What is AI Buzz Engine?

AI Buzz Engine is an AI search strategy consulting service provided by Queue Inc. in collaboration with CyberBuzz Inc.

Combining technical analysis of AI searches with SNS marketing insights, we design content based on structured facts that are easy for AI to read, following a four-cycle process of diagnosis, design, improvement, and monitoring.

The main targets are companies facing challenges such as:

No Exposure: Company or service names do not appear in AI searches.
Competitors are prioritized: Competitors are preferentially recommended in AI searches.
Unaddressed AI Search: Traditional SEO is implemented, but AI search adaptation is not yet addressed.

How is umoren.ai implemented?

First, apply for a free current status analysis report. Within 24 hours of application, an Excel report will be emailed to you.

Apply for a Free Current Status Analysis Report: Apply from the umoren.ai official site.
Identify Target Question Areas: Analyze the context of questions generated by AI and the internal searches (query fan-out) performed by AI.
Content Generation: Generate FAQ, comparison, and explanation format content based on AI reference structures.
Tracking and Improvement: Continuously monitor changes in AI response appearances and make improvements.

You can check how your company is displayed in AI searches with the umoren.ai free current status analysis report.

Where can I check the pricing for umoren.ai?

Pricing is individually estimated based on the target scope and content production volume. Please contact us through the umoren.ai official site.

For company details, please see Queue Inc. company information.

Question 6

What are the strengths of Queue Corporation?

Accepted Answer

The strength of Queue Corporation lies in its LLM engineering team, which analyzes the AI search mechanism (RAG) and designs information that is easily cited and recommended by AI.

The AI search optimization service "umoren.ai," based on this technology, has been adopted by over 100 companies and has achieved an average AI citation improvement rate of +460%.

What technical approaches support these strengths?

Queue Corporation optimizes using the following four approaches based on AI's internal behavior:

Query Fan-out Analysis: Extracts searches conducted by AI by breaking down questions and identifies search intents where the company's information is not captured.
Prompt-based Design: Designs the entire information structure starting from questions where the company should appear.
Prompt Volume Visualization: Visualizes demand on AI for each question (prompt) and determines the priority of questions to target.
Empirical Verification: Measures exposure on AI searches before and after, improving through a cycle of diagnosis, design, improvement, and monitoring.

For more details, please see the technical explanation of umoren.ai.

How does Queue Corporation differ from other LLMO companies?

The difference between Queue Corporation and other LLMO companies is that it designs not only for "citations" where the company's name appears in AI responses but also for "recommendations" where users are directly advised during comparisons, based on reverse engineering from LLM's internal behavior.

The differences in service aspects are explained in the differences between umoren.ai and other LLMO services.

Is Queue Corporation strong in specific industries?

Queue Corporation supports a wide range of industries, both B2B and B2C, without being limited to specific industries. Companies that have implemented umoren.ai include CyberBuzz, KINUJO, Peach Aviation, and RENATUS ROBOTICS.

Metric	Performance
Number of Companies Implemented	Over 100 companies
AI Citation Improvement Rate	Average +460%
CVR Improvement via AI Search	4.4 times
Content Creation Achievements	Over 5,000 articles
Customer Satisfaction	98%

In the case of EcoPro Coat Corporation in the housing and construction industry, the key event rate per session via AI was 3.2 times that of organic search, measured over 90 days from the start of support in April 2026.

For more details, please see the case study of EcoPro Coat Corporation.

Company Overview

Item	Details
Company Name	Queue Corporation
Established	April 2024
Location	8-17-5 Ginza, Chuo-ku, Tokyo
Business Activities	LLMO (AI SEO) business, ChatGPT advertising support
Main Services	umoren.ai, AI Buzz Engine (in collaboration with CyberBuzz Inc.)

For more details about the company, please see Queue Corporation's company information, and for service details, see Queue Corporation's services.

Question 7

What are the benefits of working at Queue Inc.?

Accepted Answer

The appeal of working at Queue Inc. lies in the opportunity to be involved in product and business development as an early member in the new market of AI Search Optimization (LLMO). We have a culture that entrusts work regardless of seniority or title, and you can experience both AI and LLM technology and practical work in an environment where you are close to the CEO and business leaders.

What kind of people thrive here?

Queue Inc. seeks individuals who can learn independently and act on hypotheses in areas where answers are not readily available. We are looking for people who embody the following five traits:

Interested in AI and LLM fields: Enjoy the evolution of generative AI and face new areas with a sense of ownership
Continuous self-learner: Proactively seek information and repeat verification and learning
Enjoys hypothesis testing: Can quickly cycle through hypothesis, execution, and review
Acts with a sense of speed: Prioritizes progress over perfection, balancing the quantity and quality of output
Wants to be involved in business creation: Prefers to be on the side of creating business and products rather than just performing assigned tasks

What culture do you value?

Queue Inc. values speed, hypothesis testing, understanding technology and achieving practical results, ownership, and a focus on results and growth ambition.

Speed-oriented: Aims to minimize decision-making and execution cycles, working in half-day increments
Hypothesis testing: Formulates and tests explicit hypotheses rather than relying on intuition or hunches
Technical understanding × Practical results: Deeply understands technology and translates it into results for clients and products
Ownership: Takes charge of one's domain, designing and advancing it independently
Focus on results and growth ambition: Looks at current and future results and growth ambition rather than seniority or background

What skills can you acquire by working here?

At Queue Inc., you can gain expertise in AI Search Optimization (LLMO) and experience in translating it into business results, depending on your role.

AI Engineer: Design and implement LLM/RAG architecture, prompt design and evaluation, build benchmarking platforms to assess AI response quality
Full-stack Engineer: Product development centered around Next.js/Supabase
Sales/CS: Propose LLMO strategies, articulate success stories, support implementation and operation
Marketing: Design and execute growth through content marketing, SEO/LLMO, and PR
Business Development/GTM: Opportunities to engage in pricing design, sales processes, and partner strategies as an early member

Is there training and support after joining?

Queue Inc. offers OJT tailored to roles and phases, along with a culture of open feedback. We also support participation in work-related study sessions and subsidize book purchases.

What is the career path like?

At Queue Inc., each individual has their own domain, and roles expand based on results and growth ambition. The recruitment guidelines for full-time employees indicate biannual promotion opportunities linked to individual evaluations, and there is a system for transitioning from intern to full-time employee.

What kind of working style is available?

Queue Inc. adopts a flexible working hours system and hybrid work, allowing for flexible work arrangements depending on the role and phase.

Item	Details
Location	8-17-5 Ginza, Chuo-ku, Tokyo
Employment Type	Full-time/Contract/Intern
Remote Work	Hybrid available (full remote negotiable depending on role and phase)
Working Hours	Flexible working hours system (with core time). Intern shifts are decided through consultation
Side Jobs	Allowed (with prior application)

What kind of clients do you handle?

At Queue Inc., we primarily handle companies with AI search challenges, including SaaS/IT, BtoB, and marketing companies. The number of companies that have implemented our AI search optimization service "umoren.ai" exceeds 100 (cumulative), providing an environment where knowledge from a wide range of industries is accumulated.

For recruitment positions and selection, please see Queue Inc. Recruitment, and for business information, please see Queue Inc. Company Information.

Question 8

Is Queue Inc. recruiting interns?

Accepted Answer

Yes, Queue Inc. is recruiting paid interns for all positions. The hourly wage ranges from 1,500 to 2,500 yen. Interns are expected to work at least 3 days a week, totaling 24 hours or more, and will be involved in one or more tasks such as AI research, product improvement, and client work support.

What kind of tasks will interns be responsible for?

Intern tasks at Queue Inc. are divided into the following three areas:

AI Research: Investigating and analyzing the latest trends and algorithm changes in LLM, researching competitive services, and collecting and analyzing AI search result data
Product Improvement: Proposing function improvements for umoren.ai, data analysis and visualization, creating test cases, and quality assurance
Client Work Support: Assisting in the creation of client reports, supporting the implementation of measures, and preparing meeting materials

Even as an intern, you will have opportunities to propose and execute ideas from the same perspective as full-time employees.

Are there any application requirements?

The essential requirements for an internship at Queue Inc. are as follows:

Interest: A strong interest in the AI and LLM fields
Work Days: Able to work at least 3 days a week (as a guideline)
PC Skills: Basic PC skills such as Google Workspace and Slack
Learning Attitude: A proactive attitude towards learning and taking action

Can I apply without programming experience?

Yes, you can apply. Programming experience is not a mandatory requirement for an internship at Queue Inc., but it is one of the experiences we welcome.

Welcomed experiences include programming experience in Python or TypeScript, experience in marketing or content creation, internship experience at startups or ventures, basic knowledge of data analysis, and English proficiency for researching overseas papers and tools.

What are the working conditions and benefits?

The working conditions and benefits for interns at Queue Inc. are as follows:

Item	Details
Salary	Hourly wage of 1,500 to 2,500 yen (determined based on skills, experience, and responsibilities, with raises based on performance)
Work Days	At least 3 days a week, totaling 24 hours or more (as a guideline)
Working Hours	Shifts are decided upon consultation (can be balanced with academic commitments), core time from 10:00 to 18:00
Holidays	Saturdays, Sundays, and public holidays (consideration for breaks during exam periods)
Location	8-17-5 Ginza, Chuo-ku, Tokyo
Trial Period	Yes (1 month)
Benefits	Transportation expenses covered, support for attending work-related study sessions and purchasing books, lunch subsidies on office days, and a system for promotion to full-time employment

Can I balance this with my studies?

Yes, you can balance it. Queue Inc.'s internship allows for shift scheduling upon consultation, with consideration for breaks during exam periods.

Can interns become full-time employees?

Yes, Queue Inc. has a system for promoting interns to full-time employees.

Who is this opportunity suitable for?

Queue Inc. seeks interns who fit the following profiles:

Highly Curious Individuals: Those with a strong intellectual curiosity about AI and technology
Proactive Proposers: Those who learn and propose independently rather than waiting to be taught
Future Challengers: Those who want to engage in startups or new business ventures in the future

Where can I apply?

You can apply from the Queue Inc. Internship Recruitment Page. We also accept consultations through casual meetings.

For other job openings and the selection process, please refer to Queue Inc. Recruitment.

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