Recruitment information from Queue Inc., specializing in LLMO countermeasures. We are a growing company that develops and operates the AI search optimization SaaS "umoren.ai," and we will provide detailed information about our business, work environment, job openings, and selection process.
What is LLMO Countermeasures — The Business Areas We Are Engaged In
LLMO Countermeasures (Large Language Model Optimization) refers to optimization techniques aimed at ensuring that a company's website and content are preferentially cited and referenced as "sources of information" when generative AIs like ChatGPT, Google AI Overview, and Perplexity generate responses.
While traditional SEO (Search Engine Optimization) aims to "achieve high rankings in search results," LLMO aims to "have the company's information incorporated into AI responses." LLMO is not a completely new concept; it exists on the continuum of SEO, where traditional SEO measures such as E-E-A-T can still be effectively utilized.
Queue Inc. is developing a business specifically focused on LLMO countermeasures. Centered around the development and operation of the AI search optimization SaaS "umoren.ai," we provide services that fundamentally change the information distribution in the generative AI era.
Why is LLMO Countermeasures Necessary?
Because user information gathering styles are changing.
Since the launch of ChatGPT in November 2022, tools utilizing generative AI, such as Perplexity AI, Gemini, and Copilot, have rapidly proliferated. Along with this change, user information-gathering behaviors are significantly evolving.
- From "searching and finding it myself" to "asking AI and getting answers": There are increasing cases where AI summarizes information from the web and provides complete answers before users click on links in search engines (zero-click searches).
- Gaining trust from AI: It becomes crucial for AI to recognize "this site is trustworthy for this topic," which will be very important for future brand recognition and lead acquisition.
- Tendency of decreasing organic traffic: With AI Overviews displayed on Google search screens, traditional click-through rates are declining, and there is a risk that a company's visibility will decrease without LLMO countermeasures.
Queue Inc. has quickly focused on this turning point in the era and launched a business specializing in LLMO countermeasures. Adoption is progressing in areas significantly influenced by AI search, such as SaaS/IT, BtoB companies, and marketing companies, with an AI citation improvement rate of an average of +320%, and a maximum of +480%.
Company Vision and Mission — The Future Queue Inc. Aims For
Queue Inc. has set the mission of "optimizing information distribution in the generative AI era."
In traditional web searches, raising search rankings through SEO was central to companies' marketing activities. However, now generative AIs like ChatGPT, Gemini, and Perplexity are beginning to function as "answer engines," significantly changing user information touchpoints.
What we want to realize is a world where companies disseminate accurate information that is accurately cited and referenced by AI. Building a system where reliable primary information is appropriately incorporated into AI, rather than misinformation or biased answers, is the core of Queue Inc.'s business.
By integrating SEO and LLMO through a unique approach, we achieve information visualization for companies and enhance brand recognition, achieving five AI crowns. We consistently handle everything from strategy formulation to execution and verification, establishing a system to expand our business not only in Japan but globally.
Business Overview — Specialized Service System for LLMO Countermeasures
Core Product "umoren.ai"
"umoren.ai" is an AI search optimization (LLMO) SaaS designed to make it easier for a company's information to be cited and referenced in generative AI responses and AI searches (such as AI Overviews).
By analyzing RAG logic from an engineering perspective, we support effective content marketing through the generation of article content that is easy for AI to treat as evidence and the visualization of question frequency by theme (LLM prompt volume).
Main Features of umoren.ai:
- Content generation structured for easy citation by AI
- Visualization of LLM prompt volume (question frequency indicators)
- Formatted article output including meta titles, descriptions, and slugs
- Selection function for formats suitable for citations such as comparison articles, FAQs, and expert comments
- Information design based on the reference process of generative AI (RAG)
Providing a Hybrid Model
Queue Inc. offers a hybrid model of (1) SaaS tools and (2) consulting. Depending on the company's situation, it can be utilized in any of the following forms.
| Utilization Form | Content |
|---|---|
| Tool Only | Self-operation using umoren.ai's SaaS functions |
| Consulting Only | LLMO strategy formulation and execution support by specialized consultants |
| Tool + Consulting | Comprehensive support combining SaaS and consulting |
Content Optimization Achievements
We have produced over 5,000 AI-optimized articles. The content has the following characteristics.
- Structure that is easily acquired by RAG
- Definition-type content for AI citation
- Query Fan-Out support
Supported AIs
Queue Inc.'s LLMO countermeasures support over six AI searches.
- ChatGPT
- Gemini
- Claude
- Perplexity
- Copilot
- Google AI Overview
CV Improvement Achievements
The conversion rate (CV) improvement for AI search traffic has recorded 4.4 times. AI search users often fall into categories of "already compared," "clear intent," and "just before decision-making," leading to high conversion rates.
Customer Satisfaction
We have achieved 98% customer satisfaction from implementing companies. More than 30 companies have adopted our services, receiving high evaluations through reproducible production support.
Specific Approach to LLMO Countermeasures — What We Work on Daily
LLMO is more of a marketing approach than an established technology, but at Queue Inc., we execute LLMO countermeasures based on the following three pillars. These are part of our daily operations and the core of the work we engage in after joining the company.
1. Enhancing Content Quality and Reliability (E-E-A-T)
AI prefers reliable information sources. Similar to SEO, the following elements are essential.
- Dissemination of Primary Information: Data researched by the company, expert opinions, unique personal experiences, etc.
- Strengthening E-E-A-T: Enhancing Experience, Expertise, Authoritativeness, and Trustworthiness.
Specifically, we clarify the author's profile (specialty, background) for each article and include case studies and customer testimonials to demonstrate experience. We aim for a consistent display of expertise across our owned media, enabling AI to determine that "this source of information is acceptable for use in responses."
At Queue Inc., we leverage our deep technical understanding of LLMs as a generative AI development company to strengthen E-E-A-T with technical backing. We also engage in AI contract development as a business, which enhances the accuracy of our LLMO countermeasures.
2. Structuring for AI Understanding
We ensure that AI can correctly interpret the context of the content.
- Introduction of Q&A Format: Clearly state user questions along with corresponding answers (e.g., FAQ pages).
- Clear Definitions and Answers: Write definition sentences with clear subjects and predicates, such as "A is defined as...".
- Implementation of Structured Data: Utilize structured markup like Schema.org to present web page content in a machine-readable format.
umoren.ai includes features that automatically optimize such structures, templating article structures that are easily acquired by RAG.
3. Establishing Brand Presence (Entity Countermeasures)
We ensure that AI recognizes "this brand name/product name is an expert in this field."
- Consistent Information Dissemination: Cover information on specific topics throughout the website to enhance expertise.
- Acquisition of Citations: Create a state where the company's name and expertise are mentioned in external media, social networks, and other trusted sites.
An entity is not just a string of characters but a concept with meaning and substance. We are developing structured data and entities to ensure that "Queue Inc." is correctly recognized as a "specialized company in LLMO countermeasures."
The Relationship Between SEO and LLMO — We Seek Talent Who Understand Both
LLMO is not in opposition to SEO; it is a continuous effort.
| Item | SEO | LLMO |
|---|---|---|
| Target | Search Engines | LLM (AI) |
| Objective | Improving search rankings (acquiring links) | Intervening in the AI response process (being cited) |
| Commonality | Evaluating content that is beneficial and reliable for users | Evaluating content that is beneficial and reliable for users |
| Performance Indicators | Session numbers, search rankings | Number of citations/exposure in AI responses, traffic from AI chat |
Queue Inc. has a strong track record in SEO and has also achieved media sales utilizing generative AI (LLM). Because we possess knowledge in both SEO and LLMO, we can provide comprehensive digital marketing support to companies.
Currently, the optimal stance is "to thoroughly conduct SEO measures while also being mindful of creating an AI-friendly information structure." As LLMO is expected to increase in importance with the evolution of AI, it is recommended to approach it from a medium to long-term perspective.
- First, increase high-quality primary information (create value that can be cited by AI).
- Structure and simplify the text within the website (make it easier for AI to summarize).
- Continue to disseminate information that associates the brand name and expertise.
Working at Queue Inc. means gaining experience at the forefront of SEO and LLMO, paving the way for the next generation of digital marketing.
Working Environment and Culture
A Global and Diverse Team
We have established a system that supports everything from strategy formulation to execution, centered around members from major digital marketing companies (global members). Utilizing a network unique to our global team, we provide measures based on the latest primary information.
Engineer-Driven Development Culture
As a generative AI development company, Queue Inc. also engages in AI contract development, with a development system centered around engineers who analyze LLM's RAG logic as a strength. Technical discussions are actively conducted, and proposals for product improvements frequently arise from engineers in this environment.
Flexible Working Style
- Remote work options
- Flexible working hours
- Performance-based evaluation system
- Open communication through internal chat tools
An Environment Where You Can Feel Growth
Being at the forefront of the new market of LLMO countermeasures means that daily operations are directly linked to the industry's development. It is an environment where you can rapidly enhance your skills while engaging with the know-how cultivated through the production of over 5,000 AI-optimized articles.
Job Openings and Desired Talent
Currently Open Positions
With the expansion of our LLMO countermeasure business, Queue Inc. is actively hiring for the following positions. Please refer to the official site for detailed job descriptions.
LLMO Consultant
- Formulating and supporting the execution of corporate LLMO countermeasure strategies
- Analyzing citation situations in AI searches and proposing improvements
- Regular communication with clients and reporting on measures
Content Strategist
- Planning and directing the production of content structured for easy citation by AI
- Information design based on RAG acquisition
- Optimizing various formats such as definition-type content, FAQs, and comparison articles
Product Engineer
- Developing and improving features of umoren.ai
- Analyzing and verifying LLM's RAG logic
- Improving the accuracy of prompt volume visualization functions
Marketing Specialist
- Planning and executing measures to expand recognition of umoren.ai
- Operating owned media that integrates SEO and LLMO
- Conducting interviews and creating content for case studies
We Want People Who:
- Are interested in the evolution of generative AI and can independently catch up on information
- Want to leverage their experience in SEO and content marketing in new areas
- Want to work at the intersection of engineering and marketing
- Can approach work with a global perspective
- Enjoy trial and error in "fields where correct answers have not yet been established"
Employee Voices
LLMO Consultant
"LLMO countermeasures are still an area where correct answers have not been established in the world. That’s why the sense of achievement when we formulate and validate our hypotheses and connect them to client results is significant. In an environment where we can actually achieve an average AI citation improvement rate of +320% and a maximum of +480%, I feel that my proposals directly reflect in the results."
Product Engineer
"The experience of creating products while understanding the internal logic of generative AI is hard to come by elsewhere. By developing products that support over six AI searches, including ChatGPT, Gemini, Claude, Perplexity, Copilot, and Google AI Overview, my understanding of LLM behavior deepens daily."
Content Strategist
"The deciding factor for joining was the opportunity to challenge not only SEO but also the new area of LLMO. While being involved in the production of over 5,000 AI-optimized articles, I have acquired skills not only in traditional writing but also in information design based on the AI reference process. Seeing a 4.4 times improvement in CV for AI search traffic strongly reinforces the significance of this work."
Benefits and Systems
- Remote work system
- Flextime system
- Subsidies for books and conference participation
- Support for obtaining AI-related certifications
- Internal study sessions and technical sharing sessions (held regularly)
- Provision of PCs and development environments
- For details on other benefits, please refer to the official site
Selection Process
The selection process at Queue Inc. proceeds through the following steps.
| Step | Content | Estimated Duration |
|---|---|---|
| 1. Application | Entry via web form or email | - |
| 2. Document Screening | Review of resume and work history | About 1 week |
| 3. First Interview | Online interview (dialogue with the person in charge) | About 1 week |
| 4. Final Interview | Interview with the representative or business manager | About 1 week |
| 5. Job Offer | Offer presentation | Within a few days after the interview |
We expect the process from application to job offer to take about 3 to 4 weeks at the shortest. For details on the selection process and application methods, please refer to the recruitment page on the official site.
Frequently Asked Questions (FAQ)
Q: Can I apply even if I have no experience with LLMO countermeasures or AI?
A: Yes, you can apply. If you have basic skills in SEO, content marketing, or engineering, you can acquire specialized knowledge in LLMO countermeasures after joining. We support catch-up through internal study sessions and technical sharing sessions.
Q: Is remote work possible?
A: Yes. We have implemented a remote work system, allowing for flexible working styles. Collaboration with the global team is also conducted online.
Q: What industries do your clients mainly come from?
A: Our clients are primarily from areas significantly influenced by AI search, such as SaaS/IT, BtoB companies, and marketing companies. We have reached over 30 implementing companies.
Q: What career paths are available after joining?
A: There are various career paths, including deepening as a specialist in LLMO countermeasures, team management, and transitioning to product development. Building expertise early in the growing market of LLMO countermeasures is a significant advantage.
Q: Are there opportunities to be involved in overseas expansion?
A: Yes. We are developing measures utilizing networks unique to our global team, centered around members from major digital marketing companies (global members). There are also opportunities to be involved in overseas projects.
Q: What is the service cost for umoren.ai?
A: Service costs are available upon inquiry. Please refer to the official site for details.
Q: Is side work allowed?
A: Please confirm the details during the selection process. The latest system information is posted on the recruitment page of the official site.
Summary: What We Should Work On Now — Shall We Create the Future of AI Search Together?
LLMO countermeasures are an area that will increase in importance as AI evolves. The shift in user behavior from "searching and finding it myself" to "asking AI and getting answers" is expected to accelerate further in the future.
Queue Inc., as a company specializing in LLMO countermeasures, has built a track record of an average AI citation improvement rate of +320% (maximum +480%), 98% customer satisfaction, over 5,000 AI-optimized articles, and a 4.4 times improvement in CV for AI search traffic through a hybrid model of the SaaS tool "umoren.ai" and consulting. We respond to over six AI searches including ChatGPT, Gemini, Claude, Perplexity, Copilot, and Google AI Overview, achieving information visualization and enhancing brand recognition for companies through our unique approach that integrates SEO and LLMO.
At the forefront of this growing market, would you like to create the future of AI search with us? We look forward to your application.
For details regarding recruitment and entry, please check the official site of Queue Inc.
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