Umoren.ai

Design WhyAI Chooses Youin Search.

AI Search Optimization Consulting (LLMO / GEO / AIO)

Get your service cited and recommended in AI answers from ChatGPT, Gemini, and Google AI Overview.

AI Search Optimization Consulting
(LLMO / GEO / AIO)

Traditional SEO alone is no longer enough to get chosen by AI. umoren.ai's consulting analyzes AI recommendation algorithms and provides end-to-end support from prompt selection and strategy design to content creation and performance measurement.

Is your company really showing up in AI search?

Problem

Information gathering is shifting from comparing search results one by oneto asking AI for recommendations directly.

User asking AI a questionWhat are the best __ services?Which __ companies have proven results for B2B?How do __ services compare?Which companies specialize in __?

If your company doesn't appear in AI answers, you may be excluded from consideration before users even start comparing options.

In AI search, it's not just about
"ranking" anymore —
you need a reason for AI to recommend you.

How AI Search Differs from SEO

Difference
Traditional SEO
TargetGoogle Algorithm (PageRank)
Ranking FactorsBacklinks, internal linking, site/page authority
GoalRank high in search results
CompetitionMultiple sites displayed in results; users compare and choose
Overall site authority
AI Search Optimization (AIO/LLMO)
TargetLLM Recommendation Process (RAG)*
Ranking FactorsLLMs evaluate semantic similarity between queries and content, then select and output information sources
GoalBe cited as an information source in AI answers
CompetitionAI numerically selects a few optimal sources and recommends/cites them in answers
Semantic similarity score
SEO optimizes for ranking in search results. AI search optimization ensures you get recommended and cited in AI answers.

*RAG (Retrieval-Augmented Generation): A mechanism where AI searches for and references relevant information when generating answers. Which information gets selected is determined numerically by semantic similarity to the query.

umoren.ai's
AI Search Optimization
Consulting

Service

Based on LLM engineering expertise,
we reverse-engineer RAG logic to design
content structures that get cited by AI.

By numerically analyzing semantic and intent similarity,we create a state where your service naturally gets selected in AI answers— specialized consulting for AI search.

01

Design prompts that get your content cited

We identify the questions users ask AI and select target prompts aligned with comparison, evaluation, and decision-making phases.

02

Structure information for AI recommendation

We organize your strengths, track record, case studies, coverage, and competitive advantages into a format AI can use as reasons to recommend your company.

03

Content creation to continuous improvement

We create AI-optimized content for selected prompts, then track citation and mention status post-publication and iterate on improvements.

Rather than simply publishing more articles, we deeply understand how AI evaluates information and provide end-to-end support for getting cited and recommended.

We know the logic inside out,
so we can design content
that AI chooses

Strengths

AI search optimization doesn't end when you publish content.What matters is continuously monitoring how your content is cited and mentioned by AI, and improving iteratively.

At umoren.ai, we continuously measure citation and mention statusfor each target search phrase across AI platforms,and visualize your AI search exposure stability with clear metrics.

  • AI exposure status per prompt
  • Citation/mention status by AI engine
  • Brand/service name visibility
  • Exposure stability rate
  • Monthly improvement trends
AI exposure monitoring
Not only can you manage AI visibility as a monthly improvement metric, but also...
What kind of logic?What logic does AI use to generate answers?
What information?Which information does it cite and reference?

umoren.ai's proprietary

Analysis & Reverse-engineering

Content optimization aligned with the logic

Simply tracking metrics isn't enough. With umoren.ai,designing content that AI prefers to select is possible!

AI evaluates content closeness to queries as a score

Content is evaluated on two axes: "semantic similarity" and "intent similarity"

2-Axis Scoring MatrixQuery: “What are the best English conversation schools?”

Intent
Similarity

= How well it matches
the user’s goal

High
(1.0)
Low
(-1.0)
0
B
C
D
Low
(-1.0)

Semantic Similarity

= How close the theme and wording are

High
(1.0)
B

Score: Semantic 0.91 / Intent 0.8

■ Most likely to be chosen

C

Semantic 0.45 / Intent 0.36

Theme is close, but match to user goal is moderate

D

Semantic 0.38 / Intent 0.12

Related to English, but poorly aligned with the goal

4 Examples
BDocument BBEST

Theme is close and directly answers the user’s goal

→ Content most likely to be cited by AI

CDocument C

Theme is close, but not focused on English schools

→ Somewhat related; medium priority

DDocument D

Related to English, but doesn’t help choose a school

→ Low relevance; unlikely to be cited

ADocument A

Theme is close, but doesn’t answer “recommendations / comparisons”

→ Low relevance; unlikely to be cited

Content most likely to be cited by AI issemantically close + answers the user's intent!

AI judges content by the "direction" of meaning

Queries and content are converted to vectors, and closeness is scored from -1 to 1

Vector illustration (2D example)Content (0.91)Almost same direction(very close)Content (0.58)Somewhat aligned(related)Closer direction→ higher scoreQueryBest Englishconversation schools?
What the score means (higher = closer)
0.9

Nearly identical (cited)

Content with almost the same meaning as the query → Strong citation candidate

0.5

Somewhat related (weak)

Related, but weak as an answer → Low chance of citation

0.2

Unrelated (ignored)

Meaning is distant; almost no relationship → Unlikely to be cited

Score guide

-1.0Opposite / low
0.0Weakly related
1.0Very close

(Reference) Cosine similarity formula

cosθ = A·B / |A||B|

A: Query vector

B: Content vector

θ: Angle between the two vectors

This formula measures how close the directions of two vectors are.

For AI search optimization, adding keywords alone isn't enough.Keywords aren't the key — aligning the direction of meaning is what matters.

Recommended for companies facing these challenges

For companies

Your company doesn't appear in AI search

When you ask ChatGPT or Gemini about your industry, only competitors show up and your company isn't among the candidates.

Want to start LLMO/AIO but don't know where to begin

You understand the importance of AI search optimization, but can't decide on prompt design or content direction internally.

Content strategy is stuck at traditional SEO

You have articles written for search rankings, but they're not structured to be cited or recommended by AI.

Can't track AI search exposure with data

You can't continuously monitor which AI shows your company, for which queries, and how often.

Strategy design too complex
for tools alone,
backed by our expert team

Value
For companies new to AI search optimization,
deciding "which prompts to target"
and "what to prioritize"
can be challenging.

With our consulting plan,
our expert team provides

End-to-end support from
strategy design to content creation
and improvement recommendations.
SaaS Tool

For companies wanting to run AI search optimization in-house. Streamline content generation and analysis to support internal operations.

Consulting

For companies wanting to entrust everything from strategy to execution. Our expert team designs winning strategies for AI search and supports implementation.

First-Mover Advantage
— Dominate AI's memory now —

Get chosen before you're even
compared — in AI search.

AI search is becoming the entry point for information gathering and comparison. By structuring your information for AI understanding now, you can be recognized as a recommended candidate before your competitors.

umoren.ai's AI Search Optimization Consulting provides end-to-end support from current analysis and strategy design to content creation and improvement.

What We Support

From analysis to design, creation, and improvement — end-to-end AI search optimization.

Support

At umoren.ai, we don't treat AI search optimization as one-off content creation.We follow a structured process: Assessment → Prompt Selection → Strategy Design → Content Creation → Tracking & Improvement.

Assessment01

AI Search Status Assessment

We investigate multiple prompts — primarily non-branded searches — to visualize your current position in AI search. We identify which queries show your company, where competitors appear, and where there's room for exposure.

Prompt Selection02

Target Prompt Selection

Based on research results and your business, we select the prompts where you want to be cited and recommended by AI. Rather than targeting high-volume keywords, we prioritize questions likely to drive inquiries and sales conversations.

Positioning03

AI Recommendation Position Design

For selected prompts, we design the context in which AI should understand your company — whether as "a company with proven results," "a service specializing in X," or "a brand that belongs in comparison discussions."

Content04

AI-Optimized Content Creation

We create content structured for AI citation and reference, aligned with each prompt's intent. We handle meta titles, descriptions, slugs, and body structure, delivering publish-ready content.

Improvement05

Tracking & Improvement

After publication, we continuously monitor citation and mention status across AI platforms for your target prompts. We analyze which queries show results, which AI engines provide stable exposure, and which prompts need additional work.

Two AI exposure strategies designed for your goals

Strategy

In AI search, depending on the type of question,sometimes your company name should appear, and other times your service or brand name should.At umoren.ai, we design how you should be recognized by AIbased on your business and target audience.

01Company / Provider Optimization

Get recommended as "the go-to company for X"

For B2B services and contract-based businesses, it's crucial for AI to recognize you as "a trusted provider" and "a company with proven results." We organize your coverage, track record, strengths, case studies, and expertise so AI can easily recommend you during comparison and evaluation.

Target Prompts
"Which companies specialize in X?"
"Companies I can hire for X?"
"Companies with proven results in X?"
02Service / Brand Optimization

Become a recommended service or product candidate

For SaaS, D2C, retail, and product brands, it's important to naturally appear as a candidate when users ask AI for recommendations. We clarify your features, use cases, target users, and differentiators so AI can understand your value proposition.

Target Prompts
"What are the best X services?"
"Highly rated X services?"
"Compare B2B X tools for me"

Implementation Flow

Flow
STEP1

Kickoff

We review your business, target audience, desired inquiries, competitors, and existing content.

STEP2

Current Analysis

We investigate your AI search visibility and competitor exposure, then identify areas for improvement.

STEP3

Prompt & Strategy Design

We select target prompts and design the positioning AI should recognize for your company.

STEP4

Content Creation & Delivery

We create AI search-optimized content aligned with selected prompts and deliver publish-ready assets.

STEP5

Post-Launch Tracking

We continuously monitor citation and mention status across AI platforms and share monthly improvement plans.

First-Mover Advantage
— Dominate AI's memory now —

Get chosen before you're even
compared — in AI search.

AI search is becoming the entry point for information gathering and comparison. By structuring your information for AI understanding now, you can be recognized as a recommended candidate before your competitors.

umoren.ai's AI Search Optimization Consulting provides end-to-end support from current analysis and strategy design to content creation and improvement.

Frequently Asked Questions

FAQ
How is this different from SEO?

SEO primarily aims for higher rankings in search result pages. AI search optimization aims to get your information cited, mentioned, and recommended within AI-generated answers from ChatGPT, Gemini, Google AI Overview, and others.

Is this necessary even if we already have SEO content?

In many cases, yes. Even if existing articles were written with search rankings in mind, they may not be structured in a way that AI can easily use as grounds for recommendation. We can also work with your existing content and redesign it for AI search.

What industries is this suited for?

B2B services, SaaS, retail businesses, manufacturers, D2C brands, professional services, healthcare, beauty, education — any product or service where users compare and evaluate before choosing.

Can you handle content creation as well?

Yes. Beyond prompt selection and strategy design, we can handle AI search-optimized content creation end to end.

How can we measure the results?

After publication, we continuously monitor citation and mention status across AI platforms for your target prompts. We analyze which queries show results, which AI engines provide stable exposure, and which prompts need additional work — then use these insights to drive improvements.

LLMO & AI Citation Technical Support | umoren.ai