Be the top pick in AI search.Get qualified leads.
Turn AI search traffic into results.
Full support for strategy,
content, and technical implementation.
Beyond just getting cited by AI —
we optimize for AI search (LLMO)
to drive inquiries and sales conversations.
Facing these
challenges?
Invisible in AI search3 Key challenges
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.
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 Outdated or misleading information can actually work against you.
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.
Instead of traditional search,
generative AI (ChatGPT / Gemini / Claude / Perplexity / Grok)
is rapidly becoming the go-to for information gathering.
Users who visit your site from AI answers
are already further along in the comparison and evaluation phase
They are more likely to submit inquiries and request materials
This trend is backed by international data.
AI-driven traffic has been reported to achieve a CVR approximately 4.4x higher than traditional SEO traffic...
(Search Engine Land).
What matters is not just “appearing” in AI search,
but appearing in a way that gets you“chosen during comparison.”
Structure your company and service info
in a way AI can easily evaluate. That's what it takes.
Get recommended by AI
optimization support
umoren.aiLeave it to umoren.ai.
umoren.ai's
AI Search Optimization
drives inquiries and deals
We partner with your company every step.
Request materialsMany companies misunderstand
The AI search trap
Do you have
these expectations?
If AI cites us,
traffic should increase...
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
Recommended = become an option
- Named as "the company for XX"
- Directly leads to inquiries
and material requests - Reduces sales explanation costs
To be chosen by AI4 Key approaches
— umoren.ai's strengths —
Thorough analysis of question patterns
01AI 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 design company and service information aligned with how AI understands it.
Become more likely to be recommended in comparison queries
Content design thatcommunicates meaning
02AI evaluates based on context and semantic relevance, not keywords. We create content in a way that AI won't misinterpret — clarifying who the service is for, what problems it solves, and what differentiates it from competitors.
Not just SEO articles — we produce original content designed for AI recommendation.
Get introduced in contexts that lead to inquiries
Building information architecture that demonstrates expertise
03AI evaluates not just a single page, but the consistency and expertise of an entire site. We organize FAQs, case studies, service comparisons, glossaries, and more to build an information architecture that makes AI recognize "this company is the expert in this field".
Traffic comes with name recognition,
making inquiries more likely
The key is the【entire site】
AI doesn't judge based on a single page alone. It's essential to organize related information so the entire site communicates "we are experts in this area."
Create the【reason】to be named
When primary content like FAQs, case studies, and comparisons is in place, AI can use them as "evidence for recommendation."
Technical optimization forAI-friendly formats
04Even great content won't be selected if AI can't easily reference it.
We implement FAQ structures, comparison tables,
internal links, structured data (JSON-LD / schema), and more to
format everything so AI can easily use it as "evidence".
Visitors arrive "already understanding"
before the sales pitch
umoren.ai
Visualize why
AI search isn't
driving revenue
Is your company safe?
Would you like to diagnose
opportunity losses in AI search?
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
Service comparison
Why umoren.aiis chosen
— How we differ from traditional SEO and marketing —
| Comparison |  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 |
With AI Citation Support,
become the company chosen by generative AI
(ChatGPT / Gemini / Claude / Perplexity / Grok)
Service flow
STEP
01
Current state diagnosis in AI search (conversion-focused)
Check whether your presence on ChatGPT / Gemini / Claude / Perplexity is driving inquiries effectively
STEP
02
Visualize competitive gaps and evaluation factors
Understand why competitors are being selected and identify where high-intent user behavior begins
STEP
03
Design and production for comparison queries
Prepare first-party information that AI can use as recommendation rationale, and build explanations and pathways that drive inquiries
STEP
04
Technical implementation and structural optimization
Optimize your site structure so AI can easily reference it, ensuring recommendations and comparisons lead to conversions
STEP
05
Ongoing monitoring and improvement
Not a one-time effort — maintain a state where you keep getting selected and inquiries keep flowing
Not just a one-time effort
Turn AI search into a stable conversion channel.
Pricing & Plans
We tailor proposals based on scope and objectives.
Get started before the AI search shift accelerates.
Initial diagnosis
Free
We assess your current AI search visibility and
identify high-priority areas for improvement.
Monthly plan
From ¥200,000
(varies by scope and coverage)
We support you end-to-end: content design & production,
technical implementation, structural optimization, and monitoring.
Q&AFrequently Asked Questions
Common questions about LLMO (AI search optimization)
— process, pricing, and what we do.
Q.What is LLMO (AI search optimization)? How is it different from SEO?
LLMO (Large Language Model Optimization) is the practice of optimizing your brand and services to be recommended and cited by AI search tools such as ChatGPT, Claude, Gemini, and Perplexity. While traditional SEO focuses on search rankings through links and keywords, LLMO emphasizes providing reliable, well-structured primary information that AI models use to construct their answers.
Q.Which AI search products do you support?
We analyze and optimize for major LLMs (large language models) including ChatGPT, Claude, Gemini, and Perplexity. Since AI search behavior varies by model and product, we cross-check visibility across multiple AI platforms.
Q.Where should we start? (Initial diagnosis focus areas)
We begin with a current-state diagnosis: how your brand is mentioned in AI search, competitive gaps, ranking factors (why certain answers are chosen), gaps in primary information, and opportunities to improve structured data (JSON-LD) and page architecture. From there, we prioritize the actions most likely to deliver quick results.
Q.What's the pricing?
The initial diagnosis is free. Monthly plans start from ¥200,000 (varies by scope and coverage). We provide a custom estimate based on your goals — such as gaining mentions and citations, or strengthening your competitive positioning — along with the number of target pages and content scope.
Q.What do you actually do?
We perform competitive analysis and identify key evaluation factors, then design and produce primary content that AI can easily understand and cite (facts, evidence, definitions, specs, FAQs, etc.). We also handle structured data implementation, page architecture and internal link optimization, and improvements to phrasing and information placement that increase citation likelihood.
Q.How long until we see changes?
Timelines vary depending on your site's current state and competitive landscape. We start with diagnosis, implement high-priority actions first, and continuously monitor changes in AI search mentions, citations, and visibility trends. We balance short-term improvements with building a long-term presence that keeps you consistently chosen.
Q.How do you measure success?
We continuously track whether your brand is mentioned or cited in AI search, how it's referenced in answer contexts (comparison criteria, recommendation reasons), the accuracy of brand and feature descriptions, and your relative visibility compared to competitors. We also refine target queries and evaluation criteria as needed.
Q.Who is this best for?
It's especially effective for B2B companies, SaaS products, specialized services, and industries where comparison shopping occurs (searches like "best", "comparison", "how to choose"). The less organized your information and the weaker your primary content, the more room there is for LLMO to drive growth.
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Before the AI search shift accelerates.
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