Queue Ltd. is a technology company with
the LLMO / AI SEO / GEO / AIO business
"umoren.ai" at its core,
supporting recognition, comparison, and decision-making
in AI search and generative AI.
Make the real thing the answer.
Ask anyone, anywhere: the answer is Queue.
Respect Always, Challenge Freely
Debate the work as hard as it takes, never the person.
Reverse Engineering First
Decompose every black box until it is readable.
Measure, Don't Guess
Numbers over feelings, always.
Outcome over Output
Results matter more than deliverables.
Speed is Sincerity
An 80-point week beats a perfect next month.
Trust Compounds
Long-term trust over short-term numbers.
Problem
Do you face these challenges?
Your company doesn't
appear in ChatGPT
search results
Unsure how AI
search perceives
your company
Competitors are
being compared and
recommended by AI instead
Unsure what to
work on next,
after SEO
AI Search Optimization
Large Language Model Optimization
Search shifted from "clicking links"
to "AI answers"
Comparisons and recommendations
are now automated by AI
Traditional SEO alone
won't get you in AI responses
That's why
you need
LLMO
(New SEO for AI Optimization)
Why Queue
Queue is not an SEO operations or web marketing agency. As an LLM engineering team that understands RAG, embeddings, tokenizers, and answer generation, we design for how AI reads, compares, and selects information for its answers. Through our product brand umoren.ai, we help company and product names get mentioned, compared, and recommended in AI answers.
We design information structures that get retrieved, based on how search, retrieval, and reconstruction actually work.
We organize context and structure at the granularity LLMs can read and compare.
We aim for more than traffic: we aim to put you on the comparison shortlist in AI answers.
Not support to increase search traffic, but support to get chosen in AI answers.
Typical SEO / marketing support
Starting point
Search engines / web marketing
What they look at
Goal
Be found in search results and drive site traffic
Queue/LLM engineering team
Starting point
The LLM answer-generation process
What we look at
What we design
Goal
Your company and product names are compared, mentioned, and recommended in AI answers
Not just more traffic:we design the state of being chosen inside AI answers.
So what is that answer-generation process?
Source Information
Company sites and other source material
Tokenization
Organize at token level so it is easier to read
Embedding
Vectorize meaning to raise relevance
RAG
Retrieve and ground answers in reliable evidence
Answer Generation
Generate the answer from retrieved, structured information
From optimizing to be searchedto optimizing to be chosen by AI.
Service
(AI Search Optimization)
LLMO
In the AI-era search market,
we make your company "the source AI chooses."
We reverse-engineer the recommendation logic of RAG —
the mechanism LLMs use to generate answers —
to design and improve content that AI
readily cites and recommends.
AI search exposure diagnosis
(current-state analysis across ChatGPT / Gemini / AI Overviews)LLMO strategy design
(optimizing prompts, information structure, and themes)Content & structure improvement
(restructuring information so AI readily cites it)Continuous analysis & improvement cycle
(visualizing change with Before / After)
A clear
4-step cycle
Visualize how your company appears
in ChatGPT / AI searchStructurally identify why you
don't appear in AI answersDesign a state where AI readily
cites and recommends youOptimize content and structure
starting from RAG logicConfirm changes in AI search
with Before / AfterNot just "tactics" —
"actually being chosen by AI"is what we deliver.
Our Clients (Selected)
Company
Contact
Blog
Our Blog
Latest insights on LLMO and AI search optimization
[2026 Edition] Comprehensive Comparison of Recommended LLMO Tools and Companies: Strategy Details, Cost Range, and Selection Guide
We thoroughly compare recommended LLMO tools and support companies based on the three areas of measurement and improvement and evaluation criteria. Covering a comparison of the four main services, cost ranges, and failure patterns, we support you in choosing the best service for your company.
Top AI Engine Citation Professionals in Japan: AI Search Optimization, GEO, AEO & LLM Visibility Services
Do you want to successfully integrate generative AI to promote your business? This article lists the top AI engine citation professionals in Japan. If you wish to grow your business in Japan or expand your market, compare the vendors and choose the best agency for you company.
Queue to Speak at DX Management Seminar | October 7: Information Strategy for AI-Selected Companies
The CEO and CTO of Queue Inc. will speak at the DX Magazine-hosted seminar on October 7, 2026. They will explain the mechanism of generative AI responses and corporate information strategies under the theme "Companies Chosen by AI." The event will be held both in-person and online, free of charge.
Comparison of ChatGPT and Gemini: Differences in Information Search and User Attributes and Purposes Organized by Survey Data
We compare the attributes, purposes, and question differences of people using ChatGPT and Gemini for information search based on survey data. We have organized the differences in search behavior from prompt trends and the criteria for specific usage in business.
What is an AI Agent? Differences and Mechanisms Compared to Regular Chat AI
What distinguishes AI agents from regular chat AI? From the control loop mechanism of planning towards goals, using external tools, and verifying execution results, we explain the essential differences between the two and points to consider when implementing them.
Common Traits of Pages Cited by AI Search: Headings, Text, and Data Comparison Study
Pages chosen as references for AI responses share common features: question-form headings, 35-80 character immediate response text, and primary data in text format. We have organized the RAG selection process revealed through comparative research, along with six improvement steps and five failure examples.
