To become a company
“chosen” in AI search
An AI search optimization platform that visualizes your visibility and citations and designs the sources AI recommends
We visualize how your company appears and gets cited in ChatGPT, Gemini, and Google AI Overviews, and analyze gaps with competitors and the reasons you are not recommended. From generating improved content to measuring results, everything happens in one environment.
- Break free from search ranking dependency
- Content strategy built for AI reference logic
- Become a "recommended source," not just exposure
Sound
familiar?
Ranking high in SEO, but
invisible to AI.
Even worse,
When you do appear,
you're misrepresented.
Not appearing in AI answers- Interpreted with inaccurate information
- Treated as competitor information
In AI search,
“how you're recommended and mentioned” matters more than “exposure”.
From search optimization to AI reference optimization
Concept Shift
Traditional SEO
- Click acquisition race
- Ranking competition
- Keyword dependency
AI Search
- Answer generation model
- Source evaluation model
- Focus on meaning and intent match
umoren.ai product screen
Dashboard
A management screen that gives you an at-a-glance view of your AI search exposure, analysis results, and initiatives in progress.
How does AI
choose its information?
How AI Selects Sources
Generative AI doesn't simply recall knowledge to answer. In most cases, through RAG (Retrieval-Augmented Generation), it searches for external sources, selects them, and combines them to build its answer.
For each user question, AI internally expands multiple related search queries and retrieves candidate sources. Then,
from the retrieved information, it selects what goes into the answer based on relevance and trustworthiness.
Why the traditional search
mindset isn't enough
Why isn't it enough?
In AI environments:
- Keyword matching is no longer the premise
- Expression variations are extreme
- Traditional tools can't keep up
For example, instead of “LLMO tactics”:
- ?How do we get recommended by AI?
- ?What does ChatGPT base its company mentions on?
- ?How do we get named in comparison questions?
umoren.ai's approach
Definition
umoren.ai analyzes
“how AI searches for information sources,
and why it chooses them.”
We don't just look at Google search volume.
We look at the contexts in which AI builds its answers, and which sources it uses as reasons to recommend within them.
umoren.ai product screen
Query Fan-out Analysis
Visualize the search queries AI expands internally and identify the question areas to target first.
3 steps to get recommended and correctly understood in AI search
Three Steps for AI Search
Identify target question domains and query fan-out
- Analyze the question contexts actually occurring in AI
- Map the search queries AI expands internally
- Design which areas to target first
What we define is not keywords, but
Which AI questions
should mention your name
Generate content that gets recommended × correctly understood
umoren.ai's Design Philosophy
- Generated with AI reference structure in mind
- Optimized for FAQ / comparison / explainer formats
- Information design that resists misinterpretation
The goal is
Not “an article that gets displayed”
but “an article that gives AI a reason to mention your company”
Track AI exposure rate & reference behavior
- Changes in AI answer appearances
- Observation of recommendation contexts
- Identification of areas for improvement
Don't just publish and forget:
continuously optimize how
AI evaluates your information
umoren.ai product screen
AI-Recommended Content Generation
Generate and edit content built for AI reference structures, in FAQ, comparison, explainer, and other formats.
What you can achieve with umoren.ai
Realization
Query fan-out analysis
Question type classification
Analysis of AI search reference behavior
Generate content that gets cited by AI
Track your citation status
umoren.ai product screen
AI Exposure & Reference Tracking
Continuously monitor changes in your appearances and recommendation contexts across ChatGPT, Gemini, AI Overviews, and more.
Who It's For
Use Cases
Your company info doesn't appear in AI answers
You're being misrepresented
You're buried under competitor information
You want to strengthen AI search exposure
Leave it to
umoren.ai
umoren.ai's philosophy
Philosophy
umoren.ai is not an article generation tool.
Our purpose is
In the AI search space,
“Designing recommended information sources”
LLM / RAG
native design
AI answer logic
understanding-based
Structural design that
considers information interpretation
Being cited by AI is not enough.
What matters most is that your company and service names are recommended in the right context.
Ready to rethink your
exposure and recommendation
rate in AI search?
- Which question domains to target
- What content to publish
- Whether you're understood and recommended correctly