What is LLMO Countermeasures? - An Overview of Our Focus Areas

LLMO (Large Language Model Optimization) countermeasures refer to optimization techniques aimed at ensuring that generative AIs, such as ChatGPT, Google's AI Overview, and Perplexity, preferentially cite and reference a company's website and content as "sources" when generating answers.

While traditional SEO (Search Engine Optimization) aims to "achieve high rankings in search results," LLMO focuses on "having one's information incorporated into AI responses." LLMO is not an entirely new concept but rather an extension of SEO. Strategies such as E-E-A-T, which have been addressed in SEO, can also be directly applied to LLMO.

Queue Inc. is engaged in this specialized field of LLMO countermeasures, developing and providing the AI search optimization SaaS "umoren.ai" along with consulting services. As a marketing company specializing in LLMO support tailored for the generative AI era, we achieve information visualization and brand recognition enhancement for companies through a unique approach that integrates SEO and LLMO, attaining five AI accolades.

Corporate Vision and Mission - Making "Information Chosen by AI" the Norm

The World We Aim For

Queue Inc. aims for "a world where valuable information from all companies is accurately delivered through AI search."

User information-gathering styles are undergoing significant changes. The transition from "searching and finding on one's own" to "asking AI and receiving answers" is progressing, with an increasing number of cases where AI summarizes information from the web and completes answers before users click links in search engines (zero-click searches). This change is irreversible and is expected to accelerate further in the future.

In this context, gaining trust from AI—that is, having AI recognize "this site is trustworthy for this topic"—will be crucial for future brand recognition and lead acquisition. Queue Inc. is precisely addressing this challenge as a specialized company.

Future Potential of the LLMO Countermeasure Market

The LLMO countermeasure field is still in its infancy. As of 2026, many companies are exploring how to respond to AI search, and the market is rapidly expanding. LLMO is more of a marketing approach than an established technology, but many experts emphasize its importance, and its significance is expected to grow alongside AI evolution. Working at the forefront of this growing market can provide a significant advantage in one's career.

Business Overview - A Hybrid Model Specialized in LLMO Countermeasures

Main Services

Queue Inc. offers a hybrid model of SaaS tools and consulting. Depending on the company's situation, the following forms are available:

Tool Only: In-house operation using umoren.ai
Consulting Only: Specialized support from strategy formulation to implementation
Tool + Consulting: Maximum effectiveness through the combination of SaaS and consulting

AI Search Optimization SaaS "umoren.ai"

umoren.ai is an AI search optimization (LLMO) SaaS that generates article content likely to be cited or referenced within generative AI responses. It analyzes the RAG logic of LLMs from an engineering perspective, visualizing article structures that are easy to treat as evidence and providing guidelines for the volume of LLM prompts. Key features include:

Generation of article structures that are easy for AI to treat as evidence
Visualization of LLM prompt volume (likelihood of being asked)
Automatic generation of public content including headlines, body text, and meta information
Support for adaptation to AI searches such as ChatGPT, Gemini, and Google AI Overviews
Optimization based on LLM's RAG logic by an engineering team

Performance Data

Queue Inc.'s main achievements in LLMO countermeasures are as follows:

Metric	Value
Customer Satisfaction	98%
AI Citation Improvement Rate	Average +320% (Maximum Improvement +480%)
Number of AI Optimized Content Created	Over 5,000 articles
AI Search Inflow CV Improvement	4.4 times
Supported AI Search Platforms	More than 6
Number of Implementing Companies	Over 30

The reason for achieving a 4.4 times improvement in AI search inflow CV is that AI search users often have clear intentions and are at the decision-making stage after conducting comparisons.

Supported LLMs include a total of more than 6 AI searches such as ChatGPT, Gemini, Claude, Perplexity, Copilot, and Google AI Overview.

Features of content optimization include structures that are easily obtained by RAG, definition-type content for AI citation, and Query Fan-Out support.

Implementing companies are primarily in areas significantly impacted by AI search, such as SaaS / IT, BtoB companies, and marketing companies.

Specific Approaches to LLMO Countermeasures - Areas We Work on Daily

Members of Queue Inc. are at the forefront of LLMO countermeasures daily. Here, we introduce specific areas we are addressing.

1. Enhancing Content Quality and Trustworthiness (E-E-A-T)

AI prefers reliable information sources. Similar to SEO, the following elements are essential:

Publishing Primary Information: Data researched in-house, expert opinions, unique experiences, etc.
Strengthening E-E-A-T: Enhancing Experience, Expertise, Authoritativeness, and Trustworthiness
Clarifying Author Information: Clearly stating the author's profile (specialization, background, etc.) for each article

At Queue Inc., in addition to traditional SEO, we organize structured data and entities so that AIs like ChatGPT and Gemini can accurately cite information. Leveraging our deep technical understanding of LLMs as a generative AI development company, we provide measures to strengthen each element of E-E-A-T with technical backing.

2. Creating a Structure Easy for AI to Understand

This involves efforts to ensure that AI can correctly interpret the context of content.

Introducing Q&A Format: Clearly stating user questions along with direct answers (e.g., FAQ pages)
Clear Definitions and Answers: Writing definition sentences with clear subjects and predicates, such as "A is... "
Implementing Structured Data: Utilizing structured markup like Schema.org to convey web page content in a machine-readable format
Logical Sentence Structure: Using a pyramid structure (conclusion → reason → details) as a basis, allowing AI to correctly read context

umoren.ai has features that can automatically execute these structural optimizations, with the engineering team continually updating optimizations based on LLM's RAG logic.

3. Establishing Brand Presence (Entity Countermeasures)

This involves efforts to ensure that AI recognizes "this brand name/product name is an expert in this field."

Consistent Information Dissemination: Covering information on specific topics throughout the website to enhance expertise
Acquiring Citations: Creating a state where the company's name and expertise are mentioned in external media, social media, and other trustworthy sites
Defining Proper Nouns: Explaining company names and service names along with their meanings and areas
Ensuring Accuracy of External Information: Requesting corrections if incorrect information is published on external sites

Queue Inc. provides consistent support from strategy formulation to execution and verification, ensuring that client companies' entities are correctly recognized by AI.

The Relationship Between SEO and LLMO - Why We Work on Both

LLMO is not in opposition to SEO but is a continuous effort.

Item	SEO	LLMO
Target	Search Engines	LLM (AI)
Objective	High visibility in search results	Citation and reference in AI responses
Exposure Mechanism	Displayed in search results	Cited as a source in response text
Performance Metrics	Session counts, search rankings	Number of citations and exposure in AI responses

Difference: SEO primarily aims for "improving search rankings (acquiring links)," while LLMO aims for "intervening in the AI response process (being cited)."
Commonality: Both evaluate "content that is beneficial and highly reliable for users."

Queue Inc. has extensive achievements in SEO and experience in media sales utilizing generative AI (LLM), realizing a fusion approach that deeply understands both SEO and LLMO. Currently, the optimal stance is "to thoroughly implement SEO measures while also being mindful of creating an AI-friendly information structure," and we are expanding our business with personnel who possess this integrated perspective.

Working Environment and Culture

A Global and Diverse Team

Members of Queue Inc. are primarily composed of individuals from major digital marketing companies (global members). Leveraging a global network beyond Japan, we provide strategies based on the latest primary information.

Integration of Engineering and Marketing

We leverage our deep technical understanding of LLMs as a generative AI development company and also engage in AI contract development, boasting rich experience. Engineers and marketers closely collaborate to produce content with technical backing.

About Working Style

An environment where each individual can take initiative from strategy formulation to implementation
A culture of finding optimal solutions through team discussions in the new field of LLMO countermeasures
A stimulating environment where one can always engage with the latest AI technologies and marketing trends
For details on working styles (remote work, flexible hours, etc.), please refer to the official website

Job Openings and Desired Candidates

We Welcome Candidates Like This

Queue Inc. is looking for colleagues to jointly pioneer the rapidly growing field of LLMO countermeasures.

Common Desired Traits:

Strong interest in the technological trends of generative AI and LLM
Willingness to create new markets
Knowledge and experience in SEO and content marketing
Interest in the intersection of engineering and marketing
Global perspective and ability to keep up with the latest information

Expected Job Positions:

LLMO Countermeasure Consultant: Responsible for formulating and executing AI search optimization strategies for client companies
Content Strategist: Overseeing the planning and production of content that is likely to be cited by AI
Product Engineer: Responsible for the development and functional improvement of umoren.ai
Customer Success: Supporting the maximization of results for implementing companies

For specific recruitment status and position details, please refer to the official website.

Employee Sense of Purpose

Working at the Forefront of LLMO Countermeasures

The appeal of working at Queue Inc. lies in the ability to collaboratively create the "correct answers" in the new field of LLMO countermeasures.

Feeling of Creating a Market: LLMO countermeasures are still an unestablished field, and our efforts could directly set industry standards
Intersection of Technology and Marketing: Gaining insights into engineering by analyzing LLM's RAG logic and strategic thinking in content marketing
Visible Results: Experiencing clear outcomes such as an average AI citation improvement rate of +320%, maximum +480%, and a CV improvement of 4.4 times
Being Part of a Company with Five AI Accolades: Contributing to the growth of a company with citation achievements on major AI platforms

Benefits and Systems

An environment where the latest AI tools and technologies can be actively utilized in work
Learning support for skill enhancement
Opportunities for collaboration with a global team
For detailed benefits and systems, please refer to the official website

Selection Process

The selection process at Queue Inc. proceeds as follows:

Application: Entry through the official website or recruitment page
Document Screening: Selection based on resumes and work history
Interviews (multiple rounds): Interactive interviews focusing on skills, experience, and cultural fit
Job Offer: Job offer following condition discussions

For details on the duration of each step, please refer to the official website.

Frequently Asked Questions (FAQ)

Q: Can I apply even if I have no experience in LLMO countermeasures?

A: Yes. If you have knowledge or experience in SEO, content marketing, or AI/LLM, you are welcome even without direct experience in LLMO countermeasures. There is an environment where you can learn and catch up with the team after joining.

Q: What industries do your clients come from?

A: Our implementing companies number over 30, primarily in areas significantly impacted by AI search, such as SaaS/IT, BtoB companies, and marketing firms.

Q: Can I be involved in the development of umoren.ai?

A: If you are in an engineering position, you can directly participate in the product development of umoren.ai. There are technically challenging tasks such as analyzing LLM's RAG logic and improving the content generation engine.

Q: Is remote work possible?

A: For details on working styles, please refer to the official website or inquire during the selection process.

Q: You mention a global environment; is English proficiency required?

A: It varies by position. There are opportunities for collaboration with the global team, but specific language requirements differ by job opening, so please check when applying.

Q: What are the strengths of Queue Inc.?

A: Our main strengths include a deep technical understanding of LLMs as a generative AI development company, extensive achievements in SEO, and a team composition of global members from major digital marketing companies. We have achieved a customer satisfaction rate of 98% through our hybrid model of SaaS tools (umoren.ai) and consulting.

Q: I've heard you also have achievements in AI contract development; does this relate to hiring?

A: Queue Inc. also engages in AI contract development as a business and has rich experience in this area. This technical background supports the quality of umoren.ai and LLMO countermeasure consulting. Those with AI development experience can leverage their insights in LLMO countermeasures.

Conclusion: What to Focus on Now - At the Forefront of LLMO Countermeasures

LLMO countermeasures are expected to increase in importance alongside the evolution of AI, so it is recommended to approach them from a medium to long-term perspective. Currently, the optimal stance is to "thoroughly implement SEO measures while also being mindful of creating an AI-friendly information structure."

To summarize what should be focused on now:

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 disseminating information that associates brand names and expertise

Queue Inc. has specialized in these LLMO countermeasures, accumulating achievements such as an average AI citation improvement rate of +320% (maximum +480%), over 5,000 AI-optimized articles, and a 4.4 times improvement in AI search inflow CV. We support more than six AI searches, including ChatGPT, Gemini, Claude, Perplexity, Copilot, and Google AI Overview, providing consistent support from strategy formulation to execution and verification.

We look forward to applications from those who want to create the future of LLMO countermeasures in this rapidly growing market. For detailed recruitment information, please check the official website of Queue Inc.

What is LLMO countermeasures? Recruitment information for Queue Corporation, working at the forefront of the AI search era.