![[Latest in 2026] A Thorough Comparison of 12 Recommended LLMO Countermeasure Companies | How to Choose and Cost Estimates](https://bavzcoqxxjvbgoujzxhu.supabase.co/storage/v1/object/public/blog-images/1770411287208-i4v11g.jpeg)
When choosing a company for LLMO measures, it is important to compare the scope of support (diagnosis, strategy design, implementation, production, measurement) and the corresponding AI (ChatGPT / Gemini / AI Overviews / Perplexity) on the same criteria. In this article, we will fairly organize the major 12 companies and summarize the cost range, selection criteria, and points to be aware of when making a request.
Which LLMO Countermeasure Companies Are Recommended?
Recommended LLMO countermeasure companies include Queue Inc. (umoren.ai), Nile Inc., Faber Company, CINC Inc., Media Reach Inc., and Geocode Inc. Each of these companies provides optimization support for the AI search era based on SEO, content marketing, and digital marketing.
With the rapid proliferation of generative AI such as ChatGPT, Google AI Overviews, Perplexity, and Gemini, exposure in AI searches has become increasingly important in addition to traditional search engines. Being correctly cited by AI and selected as a recommendation has garnered attention as a new customer acquisition channel that can capture potential customers in the comparison phase.
This article will objectively explain and compare the major 12 companies that respond to LLMO countermeasures in a uniform format, including cost trends, key points for selection, and precautions when making requests.
What Are LLMO Countermeasures? Differences from AIO, GEO, and SEO
Before understanding LLMO countermeasures, let's clarify the differences between related terms. The following terms are mixed in search results, but the actual content of the countermeasures is almost the same.
| Term | Definition | Main Targets | Main Purpose | Notes |
|---|---|---|---|---|
| LLMO | Large Language Model Optimization | ChatGPT, Claude, GPT-4, etc. | Information design that is easy for LLMs to understand | Context, reliability, and source design |
| AIO | AI Search Optimization | Google AI Overviews, Gemini, etc. | To be correctly cited in AI responses | Focus on content design and structure |
| GEO | Generative Engine Optimization | Perplexity, SGE, etc. | Maximizing exposure in generative search engines | Includes AIO and LLMO |
| SEO | Search Engine Optimization | Google Search, Yahoo! Search, etc. | Higher ranking in search results | Forms the foundation for LLMO countermeasures |
These terms are not completely independent and are interrelated. In particular, SEO, which is the foundation, remains a powerful information source for AI references. In other words, to be chosen by AI, it is a prerequisite to have a site that is highly evaluated from an SEO perspective.
Changes in User Behavior and the Increase of "Zero Clicks"
As AI-driven search experiences, such as those provided by ChatGPT and Google Gemini, become more common, user behavior is changing. Users who previously engaged in "search → click → information gathering" are now starting to ask questions directly to AI, leading to an increase in "zero click" behavior, where the process of "clicking (visiting a website)" is bypassed.
With traditional SEO measures alone, there may be instances where your company, brand, or service name does not appear in responses, resulting in a decline in natural search traffic and conversion rates, making web customer acquisition increasingly difficult.
The Potential of Being Cited by AI as a New Customer Acquisition Channel
On the other hand, by implementing appropriate LLMO countermeasures, there is a higher possibility of exposure in AI response sections even for keywords that could not win in SEO. Additionally, being accurately cited by AI can help avoid brand damage risks and build trust. As user search behavior changes, the direction of KPIs also shifts, with a growing emphasis on "creating content that is chosen by AI" rather than just achieving higher rankings in search engines.
Support Content from LLMO Countermeasure Companies
While the scope of support varies by service, the main support provided by LLMO countermeasure companies includes the following:
| Category | Main Support Content |
|---|---|
| 1. Current Situation Analysis and Diagnosis | Visualizing AI understanding and evaluation of your site. Competitive comparisons, checking exposure and misinformation in AI searches, analyzing traffic from AI, etc. |
| 2. Proposal of Measures | Creating an LLMO roadmap linked with SEO. Designing new KPIs (citation counts, brand mentions, etc.) specific to the AI era and setting goals. |
| 3. Content Optimization | Structuring through Q&A formats, lists, tables, and summary boxes. Strengthening E-E-A-T (primary information, expert supervision, author information, etc.), and providing writing support that is easy for AI to understand. |
| 4. Technical Optimization | Implementing structured data such as Schema.org, setting up llms.txt, and optimizing site structure, performance, and image design. |
| 5. External Evaluation and Branding Enhancement | Acquiring backlinks and citations, PR measures, utilizing UGC, and enhancing entity recognition for AI and users. |
| 6. Monitoring and Effect Measurement | Quantitative measurement and dashboarding of citation status in ChatGPT and Perplexity, traffic from AI, brand mentions, etc. |
| 7. Operation and Improvement Support | PDCA operation of measures and feedback support for correcting misinformation in AI outputs. |
| 8. Website Creation and Renovation | Creating new sites and renovating existing sites based on LLMO optimization. Also organizing structure and content and improving UX. |
| 9. Other Support | Support for utilizing subsidies, providing internal LLMO training and workshops. |
Comparison of 12 Recommended LLMO Countermeasure Companies
Major companies with high achievements and expertise are as follows. The characteristics, costs, and scope of each company will be compared in the same format.
Queue Inc. (umoren.ai)
Queue Inc.'s umoren.ai specializes in designing and realizing high-conversion traffic that leads to inquiries and business negotiations by being specifically named as "recommended" by AI searches such as ChatGPT, Gemini, Perplexity, and Claude. They thoroughly analyze AI question patterns and comparison axes, providing consistent support from content design that is likely to be recommended in comparison queries to the implementation of structured data.
| Item | Content |
|---|---|
| Company Name | Queue Inc. |
| Service Name | umoren.ai |
| Business Content | Specialized LLMO countermeasure service, AI search optimization support |
| Features | ・Thorough analysis of AI question patterns and comparison axes ・Design and production of content that "communicates meaning" ・Building an information structure that demonstrates expertise across the entire site ・Technical optimization such as implementing structured data (JSON-LD / schema) ・Continuous monitoring and improvement from current diagnosis |
| Achievements | Experience in obtaining recommendations in ChatGPT, Gemini, and Perplexity |
| Recommended for | Companies that prioritize acquiring CVs through AI searches, companies aiming to gain recommendations in comparison queries |
| Cost | Initial diagnosis: Free, Monthly plan: From 200,000 yen |
| Official Site | https://umoren.ai/ |
Strengths:
- Support from experts specializing in "recommendations" in major AI searches like ChatGPT
- Analysis of the criteria by which AI selects (questions, comparison axes) and implementation of designs that are chosen
- Capable of implementing structured data and site design led by engineers
- Tracking and visualizing exposure in AI, continuing improvements that lead to results
Weaknesses:
- As a new service, long-term achievement data is still limited
- Adjustments to measures may be necessary if the mechanisms of AI searches change
Nile Inc.
Nile Inc. has supported over 2,000 companies through SEO consulting. Based on knowledge of traditional search engine optimization, they aim to build brands that are "first chosen" in the generative AI era, providing support through a hybrid approach of SEO and AI search optimization.
| Item | Content |
|---|---|
| Company Name | Nile Inc. |
| Business Content | SEO consulting, content marketing |
| Features | ・Consulting based on support achievements for over 2,000 companies ・Comprehensive support from current analysis to strategy formulation and content optimization ・Utilization of research results from "Nyle Generative AI Lab" to respond to the latest trends ・One-stop support from technical implementation advice to operational support and regular reporting |
| Achievements | Over 2,000 companies supported in SEO |
| Recommended for | Companies that want to strengthen customer acquisition from both SEO and AI search perspectives, companies that want to request from a provider with rich experience |
| Cost | From 300,000 yen per month (inquiry required) |
| Official Site | https://nyle.co.jp/ |
Strengths:
- High analytical ability and achievements cultivated as a pioneer in SEO
- Building sites chosen by AI through structured data and E-E-A-T enhancement
- Possesses a research institution and has a high capacity to respond to the latest trends
Weaknesses:
- Monthly costs are relatively high, which may pose a budget hurdle for small and medium-sized enterprises
- Proposals are primarily focused on large enterprises, which may be too broad for small businesses
Faber Company
Faber Company develops and provides the content SEO tool "Mieruka." Many well-known figures in the SEO industry are employed, and they are renowned for their data-driven analysis.
| Item | Content |
|---|---|
| Company Name | Faber Company |
| Business Content | Development and provision of SEO tools, SEO consulting |
| Features | ・Developer of the content SEO tool "Mieruka" ・High-precision analysis system with over 20 years of SEO experience and renowned personnel ・Implementation of a generative AI traffic report function in Mieruka SEO ・Exposure status checks in ChatGPT, Gemini, and Microsoft Copilot ・Submission of highly accurate diagnostic reports |
| Achievements | Over 20 years of experience in the SEO industry, numerous companies have adopted "Mieruka" |
| Recommended for | Companies that prioritize data analysis, companies that want to monitor using tools themselves |
| Cost | Inquiry required |
| Official Site | https://mieru-ca.com/ |
Strengths:
- Renowned for data-driven analysis and topic design utilizing GEO (Generative Engine Optimization) insights
- Ability to monitor generative AI traffic using their own tool "Mieruka SEO"
- Reliable diagnostic reports provided by renowned experts
Weaknesses:
- Research services are central, and implementation may require separate arrangements
- Costs are not publicly disclosed, making comparisons difficult at the estimation stage
CINC Inc.
CINC Inc. provides SEO and marketing solutions utilizing big data and AI technology. They have built one of the largest Japanese keyword databases through their unique data collection technology.
| Item | Content |
|---|---|
| Company Name | CINC Inc. |
| Business Content | Development of SEO analysis tools, digital marketing support |
| Features | ・Strong in big data analysis, developer of "Keywordmap" ・Quantitative measurement of self-mentions and exposure in AI search engines ・Strategy design based on data ・High-precision keyword strategy combining machine learning and AI analysis |
| Achievements | Listed company on the Tokyo Stock Exchange Growth Market, numerous implementations for major companies |
| Recommended for | Companies that want to utilize big data analysis, companies that prioritize quantitative measurement |
| Cost | Inquiry required |
| Official Site | https://www.cinc-j.co.jp/ |
Strengths:
- Precise SEO analysis utilizing big data and AI technology
- Unique tools that can quantitatively measure mentions and exposure in AI searches
- Advanced analysis capabilities such as intent analysis of search queries and user behavior prediction
Weaknesses:
- Proposals are primarily focused on large enterprises, making costs a hurdle for small businesses
- Since the focus is on tool utilization, content creation may require separate arrangements
Media Reach Inc.
Media Reach Inc. is a company engaged in digital marketing. They excel in information design that is conscious of citations and recommendations from multiple AIs such as ChatGPT, Perplexity, and Google AI Overviews.
| Item | Content |
|---|---|
| Company Name | Media Reach Inc. |
| Business Content | Digital marketing business, media business, SaaS business |
| Features | ・Conscious of citations and recommendations to multiple AIs such as ChatGPT, Perplexity, and Google AI Overviews ・Consulting that quickly incorporates the latest trends from overseas ・Consistent support from current diagnosis to information design, structuring, and reliability enhancement ・Repeated reporting and verification to confirm growth in mentions and exposure while improving |
| Achievements | Selected as one of the top 15 SEO service companies in the Japanese market by the global BtoB review site "Clutch" |
| Recommended for | Companies that want to increase exposure across multiple AI searches, companies that want to incorporate overseas trends |
| Cost | From 300,000 yen per month |
| Official Site | https://mediareach.co.jp/ |
Strengths:
- Specialized in responding to multiple AI search engines
- Advanced consulting that incorporates the latest overseas trends
- Support system that is easy to start even with limited internal resources
Weaknesses:
- Contract periods are relatively long at 6 months or more, making short-term trial implementations difficult
- Monthly costs starting at 300,000 yen may be a burden for small and medium-sized enterprises
Geocode Inc.
Geocode Inc. is a publicly listed company with over 20 years of SEO experience. They offer a service that packages traditional SEO measures and AI search optimization, allowing for balanced countermeasures on both fronts.
| Item | Content |
|---|---|
| Company Name | Geocode Inc. |
| Business Content | SEO consulting, web marketing support |
| Features | ・Publicly listed company with over 20 years of SEO experience ・Balanced countermeasures for both traditional search traffic and AI searches ・Smooth integration with existing SEO measures ・Highly reliable proposals based on years of experience |
| Achievements | Over 20 years of experience in SEO support, publicly listed company |
| Recommended for | Companies that want balanced countermeasures for SEO and AI searches, companies that want to prioritize achievements |
| Cost | Inquiry required |
| Official Site | https://www.geo-code.co.jp/ |
Strengths:
- Stable proposal capabilities based on over 20 years of SEO experience
- Reliability and structure as a publicly listed company
- Smooth integration with existing SEO measures
Weaknesses:
- More of an extension of SEO rather than a specialization in AI search
- Response speed to the latest AI search trends may be slightly slower compared to specialized companies
LANY Inc.
LANY Inc. is a company that specializes in content marketing. They excel in content creation that enhances the comprehensiveness and expertise of information favored by AI.
| Item | Content |
|---|---|
| Company Name | LANY Inc. |
| Business Content | SEO consulting, content marketing |
| Features | ・Fusion of knowledge cultivated through SEO consulting and technical insights of large language models (LLMs) ・Strength in content creation that enhances the comprehensiveness and expertise of information favored by AI ・Excellent implementation ability in "what to write to be cited by AI" ・Proposals that incorporate branding and marketing perspectives |
| Achievements | Numerous achievements in SEO and content marketing |
| Recommended for | Companies that prioritize content creation, companies that are new to LLMO countermeasures |
| Cost | Diagnostic services available (paid), inquiry required |
| Official Site | https://lany.co.jp/ |
Strengths:
- High-quality content creation by elite content marketers
- Effective diagnosis and proposals that fuse SEO and LLM technical insights
- Diagnosis-focused service that is easy for first-time companies to request
Weaknesses:
- Diagnosis services are central, and implementation may require separate arrangements
- Pricing structure is not publicly disclosed, making comparisons difficult at the estimation stage
Neutral Works Inc.
Neutral Works Inc. is a web production and SEO support company with its own production team. Their strength lies in comprehensive responses from internal measures to site renovations.
| Item | Content |
|---|---|
| Company Name | Neutral Works Inc. |
| Business Content | Web production, SEO consulting |
| Features | ・Comprehensive response from internal measures to site renovations by their own production team ・Strength in measures to improve external evaluation centered on acquiring high-quality backlinks ・Total support service emphasizing strategic design that leads to results ・Capable of handling structured data markup and site renovations in-house |
| Achievements | Numerous web production and SEO support achievements |
| Recommended for | Companies that want to work on LLMO alongside site renovations, companies that want to strengthen backlink acquisition |
| Cost | Inquiry required |
| Official Site | https://n-works.link/ |
Strengths:
- Having an in-house web production team, capable of handling implementation work and site renovations
- Rich experience in backlink acquisition agency services, enabling reliable backlink acquisition
- Total support from strategic design to implementation
Weaknesses:
- Many proposals are bundled with web production, so if only consulting is desired, it is necessary to confirm the scope of support
- Costs are not publicly disclosed, making comparisons difficult at the estimation stage
Digital Identity Inc.
Digital Identity Inc. is a company with strengths in technical SEO. They feature AI impact analysis and keyword trend identification through their unique logic.
| Item | Content |
|---|---|
| Company Name | Digital Identity Inc. |
| Business Content | SEO consulting, digital marketing support |
| Features | ・AI impact analysis and keyword trend identification through unique logic ・Implementation of structured data and semantic HTML based on technical SEO ・Support for providing primary information and rewriting content ・Analysis of fluctuations in traffic from AI during specific periods |
| Achievements | Numerous SEO and digital marketing support achievements |
| Recommended for | Companies that prioritize technical SEO, companies that want to strengthen structured data implementation |
| Cost | Inquiry required |
| Official Site | https://digitalidentity.co.jp/ |
Strengths:
- Strong in technical SEO measures, capable of handling structured data markup and semantic HTML implementation
- Unique impact analysis logic to understand fluctuations in traffic from AI searches
- Proposals tailored to the situation of each company
Weaknesses:
- Focus on technical measures, and content creation may require separate arrangements
- Costs are not publicly disclosed, making comparisons difficult at the estimation stage
PLAN-B Inc.
PLAN-B Inc. is a company with strengths in digital marketing support. They provide a service that can diagnose citations, traffic, and impact from generative AI all at once.
| Item | Content |
|---|---|
| Company Name | PLAN-B Inc. |
| Business Content | Digital marketing support, advertising operations, content creation |
| Features | ・Comprehensive diagnosis of citations, traffic, and impact from generative AI ・Visualization of AI citation rates, session counts, and conversion counts from AI ・Creation of unique diagnostic reports including comparative data with competitors ・Evaluation of the impact of measures and proposal of a prioritized list of measures |
| Achievements | Numerous digital marketing support achievements |
| Recommended for | Companies that want to start with a diagnosis, companies that prioritize comparisons with competitors |
| Cost | Diagnostic service: From 300,000 yen/domain |
| Official Site | https://www.plan-b.co.jp/ |
Strengths:
- Unique diagnostic reports that visualize citation rates and traffic from generative AI
- Analysis possible with comparative data against competitors
- Digital marketing support business also covers advertising operations and content creation
Weaknesses:
- Diagnostic services are central, and implementation may require separate arrangements
- Diagnostic costs starting at 300,000 yen require initial investment
Adcal Inc.
Adcal Inc. is a company with a deep technical understanding of LLMs cultivated through generative AI consulting and development. Founded by former Dentsu Digital employees, they provide LLMO countermeasures from a marketing perspective.
| Item | Content |
|---|---|
| Company Name | Adcal Inc. |
| Business Content | Marketing support, generative AI consulting |
| Features | ・Deep technical understanding of LLMs cultivated through generative AI consulting and development ・Rich experience in supporting various industries and selling in-house media ・Execution of LLMO countermeasures from a marketing perspective ・Linking content SEO and LLMO countermeasures using LLMs |
| Achievements | Experience in LLMO countermeasures in their own operated media |
| Recommended for | Companies that prioritize understanding generative AI technology, companies that want to incorporate a comprehensive marketing perspective |
| Cost | From 300,000 yen per month |
| Official Site | https://genai.adcal-inc.com/ |
Strengths:
- Technical knowledge from generative AI consulting and development
- Proposals based on practical experience in their own media
- Wide-ranging support from small to large enterprises, with customized proposals according to industry and scale
Weaknesses:
- As a new company, long-term achievement data is still limited
- Monthly costs starting at 300,000 yen may be a burden for small and medium-sized enterprises
and media Inc.
and media Inc. is a company with strengths in SEO and content production. They provide support through content design and countermeasures optimized for generative AI, starting with a free LLMO diagnosis.
| Item | Content |
|---|---|
| Company Name | and media Inc. |
| Business Content | SEO support, SEO article production, owned media production |
| Features | ・Clarifying issues in current LLMO countermeasures starting from a free LLMO diagnosis ・Maximizing search traffic and results through content design and countermeasures optimized for generative AI ・Support for acquiring backlinks through press releases ・Flexible pricing structure where necessary measure costs are added to the monthly fee of 100,000 yen |
| Achievements | Winner of the Media Radar Award 2023 SEM category |
| Recommended for | Companies that want to start with a free diagnosis, companies that prioritize content production |
| Cost | From 100,000 yen per month (inquiry required) |
| Official Site | https://andmedia.co.jp/ |
Strengths:
- Starting with a free diagnosis, making it easy for first-time companies to request
- A comprehensive approach that integrates SEO article production and LLMO countermeasures
- Flexible pricing structure that can be designed according to needs
Weaknesses:
- Currently offered in limited scope, so it is necessary to confirm the range of support and timing
- Since measure costs are added to the monthly fee, the final cost will depend on the estimate
Cost Trends for LLMO Countermeasures
Costs vary depending on the support content, but the current market trends are as follows:
| Service Content | Cost Trend | Notes |
|---|---|---|
| Initial Diagnosis/Current Analysis | 200,000 yen to 500,000 yen | One-time payment, implementation must be done in-house |
| Content Production Agency | 50,000 yen per article or more | For highly specialized articles favored by AI |
| Monthly Consulting | 300,000 yen to over 1,000,000 yen | Costs tend to increase as the scope of measures expands |
If you only request an initial diagnosis, costs can be kept to around 200,000 to 500,000 yen, but implementation and subsequent analysis tasks will need to be handled in-house, requiring personnel to be secured internally. Additionally, using tools that can analyze citation situations and provide reporting functions will incur further costs.
Moreover, costs tend to increase as the scope of measures expands. For example, if the measures only involve structured markup or FAQ settings, the costs may not be high, but if a large number of articles need to be created to increase citation counts from AI, costs will be incurred for the number of articles created.
When estimating, it is important to confirm whether "this measure is really necessary for our company" one by one and to judge whether the cost is appropriate.
Points to Consider When Choosing an LLMO Countermeasure Company
Considering the latest trends, it is recommended to check the following three points.
1. Can They Do "Implementation" as Well as "Strategy"?
Check if the company can accompany you through information design (such as structured data support like JSON-LD) and content rewriting. If consulting ends there and implementation must be done in-house, measures may not progress without engineers or content production personnel in-house.
In particular, confirm whether the following implementations can be done in-house:
- Implementation of structured data (Schema.org, JSON-LD)
- Setting up llms.txt
- Site structure modifications
- Content rewriting/new creation
- Image design optimization
If your internal resources are limited, it is advisable to choose a company that can handle implementation consistently.
2. Which AI Engine Will You Target?
Whether to focus on Google AI Overviews (which is closer to traditional search) or on ChatGPT and Perplexity (chat responses) will affect the measures taken. It is important to see if they can propose solutions tailored to your target audience.
The major AI search engines are as follows:
- Google AI Overviews: AI summaries displayed at the top of Google search results
- ChatGPT: Conversational AI provided by OpenAI, capable of retrieving the latest information with browsing features
- Gemini: Conversational AI provided by Google, using Google search results for responses
- Perplexity: Searches multiple sites and summarizes results in real-time
- Claude: Conversational AI provided by Anthropic
Depending on the targeted AI engine, the methods of collecting data that will serve as sources and the calculation logic will differ, which will affect the methods of measures taken in LLMO countermeasures. It is the key to success to decide on the target generative AI in advance and choose an outsourcing partner that can implement measures that match that AI.
3. Do They Have Unique Research Tools or Data?
Since LLMO is still a new field, companies that possess unique tools (such as those held by CINC and Media Reach) that visualize "how much they have been cited by AI" can be considered reliable.
Specifically, check if they have tools or reporting systems that can measure the following:
- Number of citations in AI Overviews and ChatGPT
- Trends in access numbers for cited pages
- Traffic from AI to the site
- Comparative data with competitors
- Trends in brand mentions
The frequency of issued reports and the presence of improvement proposals also contribute to the quality of analysis. Companies with high-quality analysis can provide effective measurement and improvement after measures are implemented.
Precautions When Requesting LLMO Countermeasure Companies
While specialized companies provide support as mentioned above, it is essential to note that AI searches are still in development. Complete control is difficult, and continuous efforts are required for LLMO.
The requesting company also needs to have a basic understanding of LLMO. By specifically setting the ultimate goals of what results they want to achieve with LLMO countermeasures, more effective measures can be realized.
Clarify Your Objectives
Depending on the objectives (what to prioritize), the optimal measures, approaches, and performance measurement indicators (KPIs) will differ.
Examples of objectives:
- Increase exposure in AI searches: Make it easier to be cited by AI Overviews and chat AIs
- Strengthen brand recall: Create a state where AI mentions and recommends your company name and service name
- Expand customer acquisition and sales through AI: Aim for lead acquisition and increased traffic
- Avoid misinformation and disseminate accurate information: Reduce the risk of citation of outdated or inaccurate content and ensure that correct information is learned by AI
The requesting company should take the lead in clarifying objectives and collaborating with the countermeasure company, approaching the issue from a mid- to long-term perspective, which can be said to be the key to success.
Inquire with Multiple Companies
Since LLMO has many undeveloped aspects compared to SEO, it is crucial to identify effective outsourcing partners. Inquire with multiple companies and compare the following points:
- Costs and support systems
- Reliability of the outsourcing partner (achievements, presence of information dissemination, etc.)
- Scope of measures (implementation scope and target generative AI range)
- Monitoring methods for AI citation status
- Contract details (contract period, cancellation conditions, etc.)
Since total costs can reach several million yen, it is advisable to use diagnostic services to understand current issues and areas for improvement before entering into contracts. Start with companies that offer free diagnoses to conduct a simple assessment, and then evaluate their support systems and proposals before making a request.
Characteristics of Outsourcing Partners to Avoid
It is advisable to avoid outsourcing partners with the following characteristics:
- Measures that are merely SEO countermeasures or article creation services (no LLMO-specific measures)
- Overly hyping the importance of LLMO (sales that only incite anxiety)
- Executing measures that are not substantive (e.g., keyword stuffing)
- Not having their own media cited by AI (unclear achievements)
- Guaranteeing "definitely will be displayed in AI Overviews" (impossible to guarantee due to the nature of AI)
Since LLMO is still a new field, it is also true that there can be significant differences in achievements and insights. If you outsource without grasping the key points, it may not only fail to yield expected results but also lead to losses in time and costs.
Recommended LLMO Countermeasure Companies by Use Case
Depending on your company's needs, the following selection methods are recommended.
If You Prioritize Acquiring CVs Through AI Searches
Queue Inc. (umoren.ai) is suitable. They specialize in gaining recommendations in comparison queries and implement content design that leads to inquiries based on thorough analysis of AI question patterns and comparison axes.
If You Want to Strengthen Customer Acquisition from Both SEO and AI Search Perspectives
Nile Inc. and Geocode Inc. are suitable. They provide support through a hybrid approach of traditional search engine optimization and AI search optimization based on years of SEO experience.
If You Prioritize Data Analysis
Faber Company and CINC Inc. are suitable. They utilize big data analysis and unique tools to quantitatively measure citation status and traffic in AI searches.
If You Prioritize Content Production
LANY Inc. is suitable. They excel in content creation that enhances the comprehensiveness and expertise of information favored by AI and are renowned for their implementation ability in "what to write to be cited by AI."
If You Want to Work on LLMO Alongside Website Renovations
Neutral Works Inc. is suitable. They have their own production team and can provide comprehensive responses from internal measures to site renovations.
If You Want to Start with a Diagnosis
and media Inc. and PLAN-B Inc. are suitable. They offer free diagnosis and paid diagnostic services, allowing you to clarify current issues before considering measures.
Frequently Asked Questions
Q: When should I start LLMO countermeasures? A: As the proliferation of AI searches is rapidly advancing, it is recommended to start early. Implementing LLMO before competitors can increase traffic and inquiries from generative AI, raising brand awareness. Start with a free diagnosis to understand how your current site is recognized by AI.
Q: How long does it take to see the effects of LLMO countermeasures? A: It varies depending on the content of the measures and the industry, but generally, effects often begin to be seen within 3 to 6 months. However, since the mechanisms of AI searches are evolving daily, continuous improvement is necessary.
Q: What is the difference between SEO countermeasures and LLMO countermeasures? A: SEO countermeasures aim for higher rankings in search engines, while LLMO countermeasures aim to be cited and recommended by AI. However, the foundational elements of SEO (structured data, E-E-A-T, reliability, etc.) are also important for LLMO countermeasures, so the two are interrelated.
Q: Are there parts that can be handled in-house? A: The following parts can be handled in-house: content rewriting (adding Q&A formats, lists, and tables), adding primary information (expert supervision, author information, etc.), and creating FAQ pages. However, implementing structured data and modifying site structure requires specialized knowledge, so outsourcing is recommended.
Q: What is the most important point when choosing a countermeasure company? A: The most important thing is to confirm whether they have actual achievements in LLMO countermeasures. Avoid companies that make excessive guarantees like "we will definitely display it," and choose companies that can present specific success stories and numerical data. Also, ensure that LLMO-specific measures are included, rather than just a rehash of SEO countermeasures.
Summary
Recommended companies for LLMO countermeasures include Queue Corporation (umoren.ai), Nile Corporation, Faber Company, CINC Corporation, Media Reach Corporation, GeoCode Corporation, and others totaling 12 companies. Each company provides optimization support for the AI search era based on SEO, content marketing, and digital marketing.
The key points for selection are as follows:
- Whether they can handle not only "strategy" but also "implementation"
- Which AI engine to target (such as Google AI Overviews, ChatGPT, Perplexity, etc.)
- Whether they possess unique research tools or data
The cost range is approximately 200,000 to 500,000 yen for initial diagnostics and 300,000 yen to over 1,000,000 yen for monthly consulting. As the scope of measures expands, costs tend to increase, so it is important to confirm during the estimate whether "this measure is truly necessary for our company."
It is common to start by consulting the "LLMO Diagnosis" to assess how the current site is recognized by AI. Reach out to multiple companies and choose an outsourcing partner that fits your company's needs. Since AI search is still in its developmental stage, continuous efforts with a mid- to long-term perspective will be the key to success.
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