Umoren.ai

Our Clients

Trusted By

CyberBuzz
KINUJO
Peach Aviation
RENATUS ROBOTICS
Stela
smacie
CyberBuzz
KINUJO
Peach Aviation
RENATUS ROBOTICS
Stela
smacie
Facing these challenges?

Problems

Invisible in AI search3 key challenges

01Problem
Ask AI and your company doesn't appear

Ask AI andyour company doesn't appear

When someone asks AI "What are the best companies for ___?", your name doesn't come up. Even if you rank high on Google, you're invisible in AI search.

02Problem
You're introduced incorrectly

Even when listed,introduced incorrectlyyou're

Your name occasionally appears, but your strengths and features aren't communicated accurately. Outdated or misleading information can actually work against you.

03Problem
Only competitors are recommended by AI

Only competitorsare recommended by AI

Competitors in your industry keep getting recommended by AI, while you don't even make the comparison list. No matter your track record, if AI can't see you, you won't be chosen.

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AI Search Shift

Information gathering is moving from search to generative AI.

More people now research through ChatGPT / Gemini / Claude / Perplexity / Grok. Visitors who arrive via AI are already comparing options — they are ready to act.

When you ask AI for recommendations, does your company come up?

CVR of AI-referred traffic vs traditional SEO

about0.0x

International data has reported that AI-referred traffic can convert at about 4.4x traditional SEO traffic. (Search Engine Land)

Users who reach your site from AI answers are already further along in comparison and evaluation.

They are more likely to inquire or request materials.

What matters is not just appearing in AI search,
but appearing in a way that gets you chosen during comparison.

That means structuring first-party content so AI can reference and recommend you.

Get recommended by AI

optimization support

umoren.aiLeave it to umoren.ai.

umoren.ai's

AI Search Optimization

To create a state where AI search
drives inquiries and deals
Strategy, content, and technical implementation

We partner with your company every step.

Request materials

Many companies misunderstand

The AI search trap

Do you have
these expectations?

Common expectation

If AI cites us,
traffic should increase...

But in reality…

Even if AI cites you, visits and inquiries won't increase.

That's because AI doesn't select "information" —
it selects "recommended companies & services."

Cited = become part of the information

  • Only used as partial information
  • Doesn't get clicked
  • Not included in comparison candidates
>Hard to be compared or considered
Case of only being cited

Recommended = become an option

  • Named as "the company for XX"
  • Directly leads to inquiries
    and material requests
  • Reduces sales explanation costs
>Enter the comparison & consideration stage!
Case of being recommended

Why umoren.ai

Not an SEO/marketing agency —an LLM engineering team.

umoren.ai 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. That is how we help your company and product names get mentioned, compared, and recommended in AI answers.

Designed around RAG

We design information structures that get retrieved, based on how search, retrieval, and reconstruction actually work.

Optimized at the token level

We organize context and structure at the granularity LLMs can read and compare.

Built to be chosen in answers

We aim for more than traffic — we aim to put you on the comparison shortlist in AI answers.

Request a free current-state analysis report

Report delivered by email within 24 hours

The starting point is different

Not support to increase search traffic — support to get chosen in AI answers.

Typical SEO / marketing support

Starting point

Search engines / web marketing

What they look at

  • Rankings
  • Articles / content
  • Search traffic
  • CTR / CVR

Goal

Be found in search results and drive site traffic

umoren.ai/LLM engineering team

Starting point

The LLM answer-generation process

What we look at

  • Tokenizer
  • Embedding
  • RAG
  • Answer Generation

What we design

  • What AI reads
  • What it compares
  • What information it adopts
  • In what context your name appears

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?

Until an LLM generates an answer

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 searched —to optimizing to be chosen by AI.

Our Approach

To be chosen by AI4 key approaches

Strengths that come from engineers who understand how LLMs work.

Thorough analysis of question patterns

AI breaks down questions like "What are the best XX?" or "Which services are strong in XX?" into multiple perspectives to gather information.

At umoren.ai, we identify expected questions, comparison axes, and evaluation criteria, then analyze the contexts in which AI chooses a company or service.

More likely to be recommended in comparison queries

Thorough analysis of question patterns

Content design that communicates meaning

AI reads context, meaning, and intent — not keywords. We produce content AI is less likely to misread: who the service is for, what it solves, and how it differs from competitors.

Not generic SEO articles — first-party content designed to be recommended and cited.

Introduced in contexts that lead to inquiries

Content design that communicates meaning

Information design built to be recommended

AI looks at how the same company is understood across many question contexts. We design theme-by-theme information so reasons to compare you, choose you, and use you are easy to cite.

The point is what you write

To get named by AI, volume is not enough. You need information AI can use as a reason to recommend you.

Create the reason to be named

Comparison points, strengths, fit cases, and differences from competitors make it easier for AI to treat you as evidence.

Named before the sales conversation starts

Ongoing visibility analysis and improvement

Publishing good content is not enough if you never check which AI, which questions, and how your name appears.

We continuously review mentions and recommendations, then decide which question clusters should grow mention rate.

Known as a comparison option before sales

Ongoing visibility analysis and improvement
FREEChatGPT Query Fan-outAnalyze from a prompt instantly

Extract the queries ChatGPT searches behind the scenes

Enter a likely question and see the real query set AI expands internally. Built for teams who want to stop guessing at content.

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Case Study

Just

14 days after launch

ChatGPT already selected us
as 'recommended'

As a result, inquiries via AI search surged.
Our "AI-friendly service design," built on a deep understanding of
AI reasoning logic, delivered results in the shortest possible time.

*Confirmed December 2025

Through a powerful approach to comparison-stage audiences,
AI recommendations create new business opportunities.

Experience the next-generation standard
of AI-powered customer acquisition for your business.

  • ChatGPT recommendation (Japanese)
  • ChatGPT mention (English)
  • Google AI Overviews visibility
Screenshot showing umoren.ai recommended by ChatGPT

Service comparison

Why umoren.aiis chosen

— How we differ from traditional SEO and marketing —

Scroll →
Comparison
umoren.ai
AI Citation Support
Traditional SEO
Content Marketing
Ad Agency
Support for AI search (ChatGPT, etc.)
Specialized in AI recommendations
Not typically covered
May occur as a side effect
Not typically covered
Analysis of AI selection criteria
Designed around queries & comparison axes
Generally none
Generally none
Generally none
AI-readable site optimization
Structured data & design
Basic support
Limited scope
Not covered
Results visualization
Track AI visibility
Search rankings
Primarily pageviews
Ad metrics
End-to-end implementation capability
Engineer-led
Often outsourced
Writer-focused
Operations-focused
Visibility in AI-generated answers
Designed to be recommended
Not covered
Secondary effect
Not covered
SuperiorSupportedLimitedNot supported

With AI Citation Support,

become the company chosen by generative AI

(ChatGPT / Gemini / Claude / Perplexity / Grok)

Process

How the service works

01

Current-state diagnosis in AI search (conversion-focused)

Check whether your presence on ChatGPT / Gemini / Claude / Perplexity is driving inquiries

02

Analyze competitive gaps and evaluation factors

Understand why competitors are chosen and in which contexts they enter the comparison set

03

Design and production for comparison queries

Prepare first-party information AI can use as a recommendation reason, and write explanations that lead to inquiries

04

Publish, reflect, and observe early results

Publish the content and check how AI treats it

05

Ongoing monitoring and improvement

Not a one-time push — keep getting chosen so inquiries keep coming

Not a one-time campaign

Turn AI search into a stable conversion channel.

FREEFree toolsStart with a free diagnosis

Understand your AI search standing before you buy

Diagnosis, journey maps, and query fan-out — try the popular free tools to see how AI sees your company, then talk to us.

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FAQ

Frequently asked questions

How AI search optimization works, what we do, and how to start.

QWhat is LLMO / GEO / AIO, and how is it different from SEO?
A
LLMO (Large Language Model Optimization), GEO (Generative Engine Optimization), and AIO (AI Overview Optimization) make your company and services more likely to be recommended and cited in AI search such as ChatGPT, Gemini, and AI Overviews. Traditional SEO focuses on rankings and clicks. LLMO designs for how AI selects sources when it generates an answer — RAG, semantic match, and intent fit.
QWhy does being an engineering company matter?
A
Many LLMO / GEO / AIO agencies come from SEO or marketing. umoren.ai is a team that has built LLMs themselves. We understand how AI decomposes questions (query fan-out), retrieves sources (RAG), and decides what to cite — so we design from the model’s logic, not from guesswork.
QWhich AI search products do you support?
A
We analyze and design for major generative AI including ChatGPT, Gemini, AI Overviews, Perplexity, and Claude. Because retrieval and answer patterns differ by model, we check how you appear across multiple AI surfaces.
QWhere should we start?
A
Start with a free AI search score or a current-state analysis report. Then we identify the question areas where you should be named, using ChatGPT and Gemini query fan-out, and propose the highest-priority actions.
QWhat’s the pricing?
A
Both the umoren.ai tool and consulting are quoted by scope. We propose a plan based on coverage and content volume — start with a conversation.
QWhat do you actually do?
A
Three steps: (1) identify the question areas and query fan-out to target, (2) produce first-party content designed for AI recommendation and citation, (3) track appearance and referral behavior in AI answers and keep improving.
QHow long until we see changes?
A
It depends on your current site and competitive landscape. We start with query fan-out analysis and priority content, then monitor how often and how you appear in AI search. We balance short-term lift with becoming a source AI keeps choosing.
QHow do you measure success?
A
We monitor changes in AI-answer appearance, the contexts you are recommended in, and the gaps to improve. Not just “did we show up,” but for which questions and how you were described.
QWho is this best for?
A
Especially B2B, SaaS, specialized services, and categories where people ask AI for “best,” “comparison,” or “how to choose.” It is a strong fit if AI misunderstands you, or competitors appear while you do not.

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