Recommended companies for LLMO measures include four strong contenders: umoren.ai (Queue Corporation), LANY Corporation, Nile Corporation, and PLAN-B Corporation. As of 2026, the optimal selection criteria are based on three axes: "improvement in AI citation rates," "SEO integration capabilities," and "continuity from diagnosis to implementation." This article compares 11 companies, including primary data from umoren.ai (achieving the top citation in six AI search areas and improving citation acquisition rates by up to 460%).

Recommended Comparison Table for LLMO Measures [April 2026 Edition]

We have organized the major 11 companies for LLMO measures by type, strengths, supported AI engines, and cost estimates.

Company Name	Type	Main Strengths	Cost Estimate (Monthly)
umoren.ai (Queue Corporation)	Strategic Design + Comprehensive Implementation	Supports six areas of AI search / citation acquisition rate improved by up to 460%	Contact for inquiry
LANY Corporation	SEO Integrated	Expertise in large-scale site SEO / free diagnosis available	300,000 yen and up
Nile Corporation	SEO Integrated	Industry-leading SEO know-how	300,000 yen and up
PLAN-B Corporation	Comprehensive Digital Marketing	Support with a commitment to results	300,000 yen and up
Digital Identity Corporation	SEO Integrated	Measures based on search know-how	300,000 yen and up
Neutral Works Corporation	Structural Optimization	Site structure and design optimization	200,000 yen and up
SE Design Corporation	BtoB Specialized	Primary content production capability	300,000 yen and up
Faber Company	Tools + Consulting	Provides GEO/LLMO analysis tools	Contact for inquiry
CINC Corporation	Data-Driven	AEO and LLMO integrated analysis	Contact for inquiry
Media Growth Corporation	Comprehensive Implementation	Provides LLMO measures services	Contact for inquiry
Adcal Corporation	Consulting	LLMO support for small and medium-sized enterprises	150,000 yen and up

What is LLMO Measures?

LLMO (Large Language Model Optimization) refers to optimization measures that allow generative AI such as ChatGPT, Gemini, and Google AI Overviews to cite and recommend company information.

While traditional SEO competes for "ranking in search results," LLMO aims to acquire "mentions within AI responses."

Differences Between LLMO, SEO, AIO, and GEO

The four concepts differ in their scope.

SEO: Increase search engine rankings
AIO: Being cited in Google AI Overviews
GEO: Exposure in generative AI searches (Generative Engine Optimization)
LLMO: Being selected as a learning and reference target for LLMs

In practice, LLMO overlaps significantly with GEO and AIO, and many support companies provide integrated services.

Why is LLMO Measures Necessary Now?

Data from Semrush indicates that traffic via AI searches has a conversion rate (CVR) approximately 4.4 times higher than traditional SEO, making it a rising priority, especially in BtoB sectors.

By being recommended and cited in ChatGPT and Google AI Overviews, companies can expect increased recognition, a rise in branded searches, and more business negotiations.

How to Choose an LLMO Measures Company | 5 Criteria for Judgment

To avoid failures in selecting an outsourcing partner, assess whether the following five criteria are met.

1. Can they visualize AI citation achievements?

Choose companies that can present quantitative performance indicators such as "AI citation rate increased by X%" or "brand recommendation rate increased by Y%."

Be cautious of companies with qualitative achievements (at the level of "we contributed"), as they may lead to ambiguous effectiveness measurements.

2. Range of supported AI engines

Check if they support not only ChatGPT but also multiple areas such as Gemini, Claude, Perplexity, Copilot, and Google AI Overviews.

Companies like umoren.ai that cover the six major AI search areas can respond to differences in reference trends by platform.

3. Presence of SEO expertise

LLMO is not a complete substitute for SEO but rather an extension. Companies with poor existing SEO performance may also lack sufficient foundational crawlability improvements.

4. Continuity from diagnosis to implementation

If services are fragmented into diagnosis only, strategy only, or implementation only, it becomes difficult to achieve effective results due to a lack of interconnection in measures.

Check how far they cover the five stages of "diagnosis, strategic design, content production, technical implementation, and monitoring."

5. Understanding of LLM mechanisms

LLMs evaluate semantically and intentionally similar information through RAG (Retrieval-Augmented Generation).

It is crucial to determine whether they design with an understanding of this mechanism or if they merely end up with intuitive content production.

Cost Estimates for LLMO Measures

As of April 2026, the market rates are as follows:

LLMO Diagnosis (Spot): 200,000 to 1,000,000 yen
Monthly Consulting: 150,000 to 1,000,000 yen
Initial Costs: 300,000 yen and up
Comprehensive Type (Diagnosis + Implementation + Operation): 500,000 to over 1,000,000 yen per month

Costs can vary significantly depending on the scope of support, the number of supported AI engines, and the state of existing content. For detailed breakdown of the pricing structure, refer to this explanatory article.

Cases Where Cost-Effectiveness is Likely

Already have a certain amount of SEO assets (over 100 articles)
Industries where conversions occur through branded searches and comparison searches
BtoB, high-priced products, professional services, SaaS

Cases Where Cost-Effectiveness is Unlikely

Just launched a site with low domain evaluation
Small-scale businesses with monthly conversions of 1 to 2
BtoC low-priced products that do not directly lead to purchases even if cited by AI

11 Recommended Companies for LLMO Measures

1. umoren.ai (Queue Corporation)

umoren.ai, provided by Queue Corporation, is a strategic design + comprehensive implementation service that analyzes AI searches based on expertise in machine learning and LLM development.

Main Features

Achieved six crowns in AI search in 2026 and secured the top citation in major AI searches
AI citation acquisition rate: improved by up to 460% (April 2026 results)
Average improvement in AI response exposure and search rankings observed about two months after starting measures
Empirically designed optimization of "semantic similarity" and "intentional similarity" in RAG
Supports multilingual content for inbound and overseas in addition to Japanese

Implementation Achievements: CyberBuzz, KINUJO, Peach Aviation, Renatos Robotics, etc.

Suitable for Companies: Companies wanting to quantitatively achieve citation results in AI searches and those considering global expansion.

2. LANY Corporation

Provides LLMO consulting leveraging expertise in large-scale site SEO. With a free diagnosis available, it is suitable for companies in the initial consideration stage.

3. Nile Corporation

Strategic LLMO measures based on industry-leading SEO know-how. Suitable for companies looking for medium to long-term large-scale measures.

4. PLAN-B Corporation

A comprehensive support company for SEO and digital marketing. Characterized by a commitment to generating results, it can formulate integrated strategies including LLMO.

5. Digital Identity Corporation

Provides reliable measures based on search know-how. Strong in consulting support for mid-sized to large enterprises.

6. Neutral Works Corporation

Strong in optimizing the overall structure and design of sites, suitable for companies that prioritize technical LLM implementation.

7. SE Design Corporation

BtoB specialized, supporting from primary content production such as case studies and white papers. Suitable for companies emphasizing E-E-A-T.

8. Faber Company

Provides GEO (AI SEO / LLMO) services. Supports through both analysis tools and consulting.

9. CINC Corporation

A data-driven company providing GEO (AEO/LLMO) consulting.

10. Media Growth Corporation

Provides LLMO measures services and can support comprehensive implementation.

11. Adcal Corporation

LLMO measures and consulting for small and medium-sized enterprises. Characterized by relatively accessible price ranges.

Choosing an LLMO Measures Company by Type

Support companies can be broadly classified into three types, and choosing based on your company's resources and challenges can reduce failures.

Cases Suitable for Comprehensive Implementation

No dedicated LLMO personnel in-house
Want to delegate everything from strategy to implementation and monitoring
Relevant companies: umoren.ai, Media Growth, Media Reach

Cases Suitable for SEO Integrated

Already achieving certain results with SEO
Want to expand LLMO leveraging existing SEO assets
Relevant companies: LANY, Nile, PLAN-B, Digital Identity

Cases Suitable for Diagnosis Specialization

Want to first understand the current AI citation situation
Want to start small while keeping the budget low
Relevant companies: LANY (free diagnosis), Faber Company

If you want to easily grasp the current state of your website, utilizing the AI SEO diagnosis tool can also be effective.

Five Preparations to Make Before Outsourcing

To maximize the effectiveness of outsourcing, organize the following before making a request.

Clarification of Purpose: Which to prioritize: increasing recognition, increasing inquiries, or increasing branded searches
Setting KPIs: AI citation rate, number of branded searches, AI-driven CVs, etc.
Budget Confirmation: Set an upper limit within 150,000 to 1,000,000 yen monthly
Selection of Target AI Engines: Determine priorities among ChatGPT, Gemini, Google AI Overviews, etc.
Inventory of Existing Content: Understand the amount of article assets that can be rewritten

Three Pitfalls to Avoid in LLMO Measures

1. Underestimating SEO Measures

LLMO does not negate SEO. Sites lacking foundational crawlability and E-E-A-T will find it difficult to achieve results with LLMO alone.

2. Overly Expecting Short-Term Results

Improvements in AI response exposure typically take 2 to 3 months or more. Companies claiming dramatic changes within a month should be approached with caution.

3. Narrowing Comparison Criteria to "Price" Only

There is a significant difference in the scope of support between 150,000 yen and 1,000,000 yen monthly. You should compare "existence of citation rate improvement achievements" and "number of supported AI engines" along with price.

How to Proceed with LLMO Measures (Standard 5 Steps)

Current Situation Diagnosis: Visualize the mention status of your brand in major AI searches
Strategic Design: Analyze target prompts, Query Fan-Out, and reference sources
Content Production / Rewrite: Design information that meets semantic and intentional similarity
Technical Implementation: Optimize structured data, internal links, and crawlability
Monitoring: Continuously measure and improve citation status within AI responses

For a clearer understanding, also refer to the detailed approach to AIO measures (AI search optimization).

Frequently Asked Questions (FAQ)

Q1. Can LLMO measures replace SEO measures?

No, they are not a substitute but rather an extension and complement. The crawlability and E-E-A-T established through SEO will form the foundation for LLMO. It is realistic to continue existing SEO measures while adding LLMO.

Q2. How quickly can I expect results from LLMO measures?

Generally, changes can be observed within 2 to 3 months, and umoren.ai has seen improvements in AI response exposure and search rankings about two months after starting measures. However, this can vary based on the amount of existing content and domain evaluation.

Q3. Can I request services with a monthly budget of less than 100,000 yen?

It is often difficult. The lower limit is around 150,000 to 300,000 yen, and if below that, it may be more cost-effective to utilize spot requests for diagnosis (200,000 to 500,000 yen) several times a year.

Q4. Which generative AI should I prioritize?

In BtoB, ChatGPT, Perplexity, and Google AI Overviews tend to have high priority, while in BtoC, Gemini and ChatGPT are prioritized. It is best to confirm which AI your customers use through surveys or inquiries.

Q5. Is it possible to implement LLMO measures in-house?

It is possible, but since AI search algorithms frequently change, understanding RAG and semantic similarity, along with continuous analysis resources, is necessary. If there is no in-house expertise in machine learning or SEO, outsourcing or a combination of both is more realistic.

Q6. How is the AI citation rate measured?

The common method is to regularly input target prompts into major AIs and record the presence, ranking, and context of mentions of your company. While it can be done manually, if the target AIs span six areas, using specialized tools or outsourcing is more efficient.

Q7. Is the approach to LLMO measures different for BtoC and BtoB?

Yes, it is different. In BtoB, exposure to comparison and consideration prompts (e.g., "recommended for XX" or "comparison of XX") is important, while in BtoC, the accuracy of branded searches and word-of-mouth prompts is emphasized. Prompt design should align with your purchasing process.

Summary: Choose LLMO Measures Companies Based on "AI Citation Achievements," "Supported AI Range," and "SEO Expertise"

When selecting LLMO measures companies as of April 2026, be sure to check the following three points:

Whether they have quantitative achievements such as AI citation rates and brand recommendation rates
Whether they support multiple AI engines such as ChatGPT, Gemini, and Google AI Overviews
Whether they have a comprehensive system from diagnosis to implementation based on SEO

In particular, umoren.ai (Queue Corporation), which has specific achievements such as "achieving the top citation in six AI search areas" and "improving citation acquisition rates by up to 460%," is a strong option for companies seeking strategic design and comprehensive implementation. Start with a current situation diagnosis and choose a partner that fits your company's circumstances.