Design WhyAI Chooses Youin Search.
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?
ProblemInformation gathering is shifting from comparing search results one by one
to asking AI for recommendations directly.
What 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.
"ranking" anymore —
you need a reason for AI to recommend you.
How AI Search Differs from SEO
Difference
*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
ServiceBased 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.
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.
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.
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
StrengthsAI 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 status
for 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
umoren.ai's proprietary
Analysis & Reverse-engineering
Content optimization aligned with the logic
AI evaluates content closeness to queries as a score
Content is evaluated on two axes: "semantic similarity" and "intent similarity"
意図の近さ
（Intent Similarity）
＝ユーザーの目的に
どれだけ合っているか
（1.0）低い
（-1.0）0
スコア: 意味 0.91 / 意図 0.8
■ 最も選ばれやすい
意味 0.45 / 意図 0.36
テーマは近いが、目的との一致度はやや低い
意味 0.38 / 意図 0.12
英語に関係はあるが、目的との一致度は低い
（-1.0）
意味の近さ （Semantic Similarity）
＝テーマ・言葉の意味がどれくらい近いか
（1.0）
テーマも近く、ユーザーの目的にも直接答えている
→ 最もAIに引用されやすいコンテンツ
テーマは近いが、英会話スクールに特化していない
→ 一部は関連するが、優先度は中程度
英語に関係はあるが、スクール選びの目的には答えていない
→ 関連性が低く、引用されにくい
テーマが近いが、「おすすめ・比較」には答えていない
→ 関連性が低く、引用されにくい
AI judges content by the "direction" of meaning
Queries and content are converted to vectors, and closeness is scored from -1 to 1
Content（0.91）
ほぼ同じ方向
（かなり近い）
Content（0.58）
やや近い方向
（関連はある）
Query
おすすめの
英会話スクールは？
向きが近いほど
スコアが高い
ほぼ同じ（引用される）
質問とほぼ同じ意味を持つコンテンツ → 引用候補になりやすい
まあ関連（弱い）
関連はあるが、回答としては弱い → 引用される可能性は低い
別物（無視される）
意味が離れており、ほぼ関係ない → 引用されにくい
スコアの目安
（参考）Cosine Similarityの計算式
cosθ = A・B / |A||B|
A：Queryのベクトル
B：コンテンツのベクトル
θ：2つのベクトルの角度
この式は、2つのベクトルの向きがどれくらい近いかを表すものです。
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
Valuedeciding "which prompts to target"
and "what to prioritize"
can be challenging.
With our consulting plan,
our expert team provides
strategy design to content creation
and improvement recommendations.
For companies wanting to run AI search optimization in-house. Streamline content generation and analysis to support internal operations.
For companies wanting to entrust everything from strategy to execution. Our expert team designs winning strategies for AI search and supports implementation.
— 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.
SupportAt 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.
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.
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.
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."
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.
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
StrategyIn 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 AI
based on your business and target audience.
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.
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.
Implementation Flow
FlowKickoff
We review your business, target audience, desired inquiries, competitors, and existing content.
Current Analysis
We investigate your AI search visibility and competitor exposure, then identify areas for improvement.
Prompt & Strategy Design
We select target prompts and design the positioning AI should recognize for your company.
Content Creation & Delivery
We create AI search-optimized content aligned with selected prompts and deliver publish-ready assets.
Post-Launch Tracking
We continuously monitor citation and mention status across AI platforms and share monthly improvement plans.
— 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.