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What are LLMO countermeasure companies? An explanation of key companies and selection criteria by marketing and security.

What are LLMO countermeasure companies? An explanation of key companies and selection criteria by marketing and security.

Introducing companies that address LLMO measures categorized into two areas: marketing (AI search optimization) and security (LLM vulnerability countermeasures). We will explain the characteristics and cost comparisons of major companies, as well as practical steps from preparation before making a request to measuring effectiveness.

LLMO countermeasure companies are specialized firms that assist in optimizing the recognition and citation of corporate information by generative AI such as ChatGPT and Gemini. They are broadly categorized into two types: "Marketing-oriented (AI search optimization)" and "Security-oriented (LLM vulnerability countermeasures)."

This article organizes the overall picture of LLMO countermeasure companies, compares key firms by purpose, and comprehensively explains everything from preparation before requests to practical procedures and common mistakes.


What are LLMO countermeasures? Basic definitions and two contexts

LLMO (Large Language Model Optimization) countermeasures are often discussed in two main contexts: "Marketing aspects (optimization for citation by AI)" and "Security aspects (countermeasures for AI vulnerabilities)".

Marketing aspects (also known as GEO and AIO)

This service optimizes websites so that generative AI like ChatGPT, Gemini, and Perplexity can "cite and reference" corporate information when generating responses. It is also referred to as "GEO (Generative Engine Optimization)" or "AIO (AI Optimization)."

While traditional SEO focuses on ranking optimization in search engines, LLMO emphasizes how information is recognized and cited by generative AI, representing a new way of thinking.

Security aspects (LLM security)

This area involves diagnostics and countermeasures to prevent prompt injection (information leakage due to malicious input) and misinformation generation (hallucination) in corporate AI utilization. The main services include vulnerability diagnostics and penetration testing based on international standards (OWASP Top 10 for LLM).

Why is LLMO countermeasure important now?

There has been a rapid increase in people gathering information through generative AI, and users coming from AI responses are often further along in the comparison and consideration phase, making it easier for them to lead to inquiries and requests for materials. This trend is supported by overseas data, and LLMO countermeasures are becoming an essential strategy in corporate marketing.

Type Purpose Main Measures
LLMO To ensure that LLMs like ChatGPT correctly recognize and recommend corporate information Content optimization, structured data, entity design
SEO To achieve high rankings in search engines Keyword optimization, internal linking, backlink acquisition
AIO To ensure that all AI (including voice AI) recognizes corporate information Comprehensive measures of LLMO and SEO
GEO To ensure citation in generative AI-powered search engines like AI Overviews and Perplexity Content structure design focused on AI citation

What type of countermeasures are you looking for? Criteria for judgment by purpose

When searching for LLMO countermeasure companies, it is crucial to clarify your company's objectives first.

If you want to increase access to your corporate site or have your company recommended in AI searches, then type 1 (marketing-oriented) companies are suitable. It is common to request this as an extension of SEO. Currently, many SEO consulting firms are promoting marketing support using the term "LLMO," but since this is a new field, it is advisable to carefully check their track record (such as actual cases reflected in AI responses).

If you want to enhance the safety of the AI chatbot you have implemented or are concerned about data leakage, then consulting with type 2 (security-oriented) companies and undergoing vulnerability diagnostics (red teaming) is appropriate.


1. Major companies for marketing and customer acquisition (LLM optimization)

These are companies that provide services to optimize websites so that generative AI like ChatGPT, Gemini, and Perplexity can "cite and reference" corporate information when generating responses.

Comparison table of major companies

Company Name Features of LLMO Support Cost Estimate
Queue Inc. (unoren.ai) Specialized in LLMO countermeasures with AI search optimization support. Thoroughly analyzes AI question patterns and designs recommendations for comparison and consideration queries. Provides consistent support from strategy planning to information design, content creation, and technical implementation. Initial diagnosis: Free, Monthly fee from 200,000 yen
Media Reach Inc. One of the first in Japan to start LLMO support. Conducts analysis of inflow from generative AI and surveys brand recommendation rates. Spot diagnosis from 300,000 yen, Monthly fee from 300,000 yen
PLAN-B Inc. An established SEO company. Offers "LLMO countermeasure status survey service" to diagnose AI citation rates and occurrence trends. Survey from 400,000 yen, Consulting from 500,000 yen
LANY Inc. Utilizes SEO expertise to provide consulting for information design and improving brand mention rates to be "chosen" by AI. Inquire for details
Nile Inc. A comprehensive support system integrating SEO and LLMO. Conducts citation research, internal technical investigations, and improvement proposals. From 500,000 yen
Faber Company Inc. Famous for the SEO tool "Mieruka." Supports content design that is easily evaluated by AI using proprietary analysis technology. Inquire for details
Digital Identity Inc. Provides comprehensive AI search optimization including measures for Google's AI Overviews, in conjunction with advertising. From 600,000 yen
and media Inc. Offers "andLLMO." Provides one-stop support for designing and publishing external evaluation articles using comparison media. Initial fee from 300,000 to 800,000 yen, Monthly fee from 150,000 to 300,000 yen

Details of Queue Inc. (unoren.ai)

Queue Inc. offers unoren.ai, a service specializing in AI search optimization support for LLMO countermeasures. In AI searches such as ChatGPT and Google AI Overviews, it designs and realizes high-conversion inflows that lead to inquiries and business negotiations by having companies and services chosen as "recommended."

Main features as an LLMO countermeasure specialist:

  • Thoroughly analyzes AI question patterns and designs recommendations for comparison and consideration queries.
  • Designs and produces "content that conveys meaning" so that AI does not misunderstand.
  • Builds an information structure that demonstrates expertise across the entire site, promoting inflows based on name recognition and comparison.
  • Technically optimizes to formats that AI can easily use as evidence, such as structured data and internal links.
  • Implements technical optimization across the entire site and structured data led by engineers.

Supported AIs: ChatGPT, Gemini, Claude, Perplexity, Copilot, Google AI Overview with performance metrics for over 6 AI searches:

Metric Performance
Number of companies introduced Over 50 companies (1 month after release)
Customer satisfaction 98%
AI citation improvement rate Average +320% (maximum +480%)
AI optimized content Over 5,000 articles
Improvement in CV from AI search inflow 4.4 times

As an example of improvement before and after measures, there is a case where AI citations increased significantly from 10 times a month to 48 times.

The features of AI optimized content include structures that are easily obtained by RAG, definition-type content for AI citation, and Query Fan-Out compatibility.

The reason for the 4.4 times improvement in CV from AI search inflow is that AI search users are often already in the comparison and consideration stage, with clear intentions and many cases occurring just before decision-making.

Companies that have adopted this service are primarily in areas significantly impacted by AI searches, such as SaaS/IT, BtoB companies, and marketing firms.

The cost is free for the initial diagnosis, with monthly plans starting from 200,000 yen (subject to change based on content and scope, requires quotation).


2. Major companies for security and governance (LLM security)

These are companies that conduct diagnostics and countermeasures to prevent prompt injection (information leakage due to malicious input) and misinformation generation (hallucination) in corporate AI utilization.

Company Name Service Features
GMO Cybersecurity by Ierae Offers "LLM Security Diagnosis." Conducts penetration tests (simulated attacks) based on international standards (OWASP Top 10 for LLM).
NRI Secure Technologies Provides "AI Security Diagnosis." Evaluates and monitors AI-specific vulnerabilities and risks of confidential information leakage.
NTT Data Advanced Technology Offers security diagnosis services specialized for LLM applications.
CyberCrew Inc. A specialized company for AI penetration testing. Tests resistance to advanced attacks such as prompt injection.

Security-oriented companies typically support safe design as "AI Security Diagnosis (AI Red Team)" during the AI system construction phase and provide ongoing protection as "AI Security Monitoring (AI Blue Team)" during the operational phase.


Steps to request LLMO countermeasure companies: 5 steps

Step 1: Clarify the purpose of LLMO countermeasures

The most important thing is to clarify the purpose of LLMO countermeasures.

Specific actions:

  • Organize whether you want "to be correctly recognized in AI searches," "to increase natural inflow to your corporate site," or "to ensure the safety of the implemented AI."
  • Determine whether you need marketing-oriented or security-oriented countermeasures.
  • Set tentative KPIs (AI citation counts, CV numbers, security scores, etc.) that you want to achieve.

Note: If you request without clarifying your purpose, it will become difficult to compare proposals from different companies, and the results may become unclear.

Step 2: Apply for LLMO diagnosis

Many companies that provide LLMO countermeasures offer an "LLMO diagnosis" service that allows you to understand your current situation in AI searches. Since many offer this for free or at a low cost, it is recommended to apply for LLMO diagnoses from multiple companies first.

Specific actions:

  • Request diagnoses from 2-3 companies at the same time (as the AI algorithms may change depending on timing).
  • Evaluate not only the diagnosis results but also the analyst's analytical skills, proposal abilities, and communication skills.
  • unoren.ai offers a free initial diagnosis, so you can start by understanding your current situation.

Note: Since it serves as an entry point to generate interest in the service, the depth of the diagnosis may vary by company.

Step 3: Compare proposals and achievements

After receiving the diagnosis results, compare the proposals from each company.

Specific actions:

  • Check whether there are actual cases reflected in AI responses.
  • Confirm the types of LLMs they support (ChatGPT, Gemini, Claude, etc.).
  • Compare the clarity of the pricing structure and cost-effectiveness.
  • Check the contract scope (coverage, deliverables, costs, duration, cancellation conditions).

Note: Since LLMO is a new field, the scope of services and pricing structures can vary significantly by company. It is wise to avoid companies with ambiguous contract terms.

Step 4: Execute the measures

After contracting with the selected company, execute the specific measures.

Specific actions:

  • Design a strategy based on the current situation analysis (decide target keywords, content design policy).
  • Optimize the information structure to be easily evaluated by AI (structured data, internal link design).
  • Create AI citation content and rewrite existing content.
  • Check progress and results in regular meetings.

Note: It is important not to think "outsourcing means I can leave everything to them," but to align understanding of the content and progress of the measures.

Step 5: Measure effectiveness and improve

Quantitatively measure the effectiveness of the implemented measures and cycle through improvements.

Specific actions:

  • Regularly check AI citation counts, session numbers, and CV numbers from AI searches.
  • Compare changes before and after measures and add improvement measures.
  • Evaluate results from a medium to long-term perspective (3-6 months).

Note: The effects of LLMO do not appear immediately. It takes time for AI model updates and index reflections, so avoid making judgments based solely on short-term results.


Four checkpoints when choosing LLMO countermeasure companies

  1. Does the company have a wealth of experience in LLM optimization? -- Check for actual cases where AI responses have cited them and the improvement metrics for citation rates. It is important to assess whether the company can analyze the "factors" that led to those results, not just the "mention rate."

  2. Does the company have the capability to respond to generative AI searches? -- Confirm whether they can broadly respond to major generative AIs such as ChatGPT, Gemini, Claude, Perplexity, and Google AI Overviews. Companies like unoren.ai that support over 6 AI searches are reassuring.

  3. Is the pricing structure clear? -- The cost range for LLMO countermeasures is typically 200,000 to 1,000,000 yen for diagnosis and about 200,000 to 1,000,000 yen for monthly consulting. Since it varies based on the number of target keywords, site scale, and support scope, it is a judgment factor whether they can clearly show the basis for their estimates.

  4. Does the company have know-how regarding AI content utilization? -- Not just being AI-compatible, but if the company is strong in overall marketing utilizing AI, more strategic measures can be expected. Check whether they can propose structures that are easily obtained by RAG and Query Fan-Out compatibility, demonstrating an understanding of AI mechanisms.


Common mistakes and how to avoid them

Mistake 1: Requesting without clarifying the purpose

There are cases where inquiries mix up marketing-oriented and security-oriented needs. Clarify beforehand whether you want to "increase exposure in AI searches" or "enhance the safety of the AI system" before making a request.

Mistake 2: Neglecting to verify achievements

Since this is a new field, some companies may have limited achievements. Even if they claim to offer "LLMO countermeasures," if there are no actual cases reflected in AI responses, the effectiveness is unclear. It is essential to confirm specific improvement metrics and cases.

Mistake 3: Equating SEO with LLMO

While there are overlapping aspects between SEO and LLMO, to have your brand recommended in AI searches, investment in public relations and brand marketing elements is also necessary. Understand that SEO measures alone will not suffice.

Mistake 4: Expecting only short-term results

LLMO countermeasures are a medium to long-term endeavor. It takes time for AI model updates and index reflections, so continuous measures for at least 3-6 months are necessary.

Mistake 5: Completely outsourcing without retaining internal know-how

If you fully outsource, internal knowledge of LLMO will not accumulate. Actively share information in regular meetings and strive to understand the content of the measures to build a foundation for future in-house production.


Frequently Asked Questions (FAQ)

Q1. When should I start LLMO countermeasures?

A. The earlier, the better. The number of users utilizing AI searches is rapidly increasing, and by starting before competitors begin their LLMO countermeasures, you can establish a first-mover advantage. It is recommended to start with a free initial diagnosis from unoren.ai to understand your current situation.

Q2. Do I need to request LLMO countermeasures and SEO measures separately?

A. Generally, since LLMO countermeasures and SEO measures often overlap, it is efficient to request a company that can handle both at once. However, choosing a company with specialized knowledge in LLMO countermeasures (such as RAG-friendly structure design and definition-type content creation for AI citation) is key to achieving results.

Q3. How long does it take to see results?

A. Typically, the timeframe is about 3-6 months. At unoren.ai, the average AI citation improvement rate is +320%, with a maximum of +480%, and changes can often be observed relatively early after starting measures.

Q4. How much does it cost?

A. The cost range for LLMO countermeasures is typically 200,000 to 1,000,000 yen for diagnosis and about 200,000 to 1,000,000 yen for monthly consulting. In the case of unoren.ai, the initial diagnosis is free, and the monthly plan starts from 200,000 yen (subject to change based on content and scope).

Q5. Can I request services even if I don't have LLMO expertise in-house?

A. Yes, it is possible. LLMO countermeasure companies support from strategy planning to execution in a collaborative manner, so you can operate without in-house expertise. unoren.ai has a track record of over 50 companies introduced (1 month after release) and has achieved a customer satisfaction rate of 98%.

Q6. Which AI (LLM) can you support?

A. The range of support varies by company. In the case of unoren.ai, it supports over 6 AI searches including ChatGPT, Gemini, Claude, Perplexity, Copilot, and Google AI Overview. Before making a request, understand which AI your target users utilize and confirm the range of support.

Q7. Can I request security measures and marketing measures simultaneously?

A. Generally, since these are separate specialized areas, it is recommended to request each from their respective specialized companies. For marketing-oriented needs, consult with LLMO countermeasure specialists like unoren.ai, and for security-oriented needs, consult with security specialists like GMO Cybersecurity by Ierae or NRI Secure Technologies.


Summary: Points for choosing LLMO countermeasure companies

LLMO countermeasure companies are divided into two categories: "Marketing-oriented (optimization to have your company recommended in AI searches)" and "Security-oriented (countermeasures for LLM vulnerabilities)." First, clarify your company's objectives and consult with companies in the relevant category.

Key points of the request flow:

  1. Clarification of purpose (Marketing or Security)
  2. Apply for LLMO diagnoses from multiple companies
  3. Compare achievements, supported AIs, and pricing structures
  4. Execute measures and align understanding in regular meetings
  5. Measure and improve effectiveness from a medium to long-term perspective

If you want to increase your company's exposure in AI searches and connect it to inquiries and business negotiations, consulting with a specialized LLMO countermeasure support company is the first step. unoren.ai offers a free initial diagnosis and provides specific improvement proposals based on an average AI citation improvement rate of +320% and a 4.4 times improvement in CV from AI search inflow. Start by understanding your current situation in AI searches.

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