[2026 Ultimate Guide] Top 14 Recommended LLMO Agencies: Comprehensive Comparison of Costs, Selection Criteria, and Outsourcing Tips

he widespread adoption of ChatGPT and Google’s “AI Overviews,” LLMO (Large Language Model Optimization)—also known as Generative AI Search Optimization—is drawing massive attention as a new digital marketing channel.

While many web managers feel the urgency to start optimizing, they are often plagued by doubts:

• “I don’t know which agency can actually deliver results.”
• “I can’t grasp the difference between this and SEO, or what a reasonable cost looks like.”

In this article, professionals with deep expertise in web production, SEO, and AI have carefully selected the top 14 LLMO agencies for 2026.

Rather than just listing companies, we provide a professional perspective on how to choose an agency that offers tailored solutions. We also cover realistic pricing based on the scope of work and essential precautions to take before outsourcing.

Use this guide to find the ideal partner that matches your challenges and budget, and secure your competitive edge in the era of AI search.

Why You Need LLMO Right Now

The primary reason LLMO has become an urgent priority is a fundamental shift in user search behavior.

Traditionally, the search process looked like this:

1. Search on a search engine
2. Click on a website
3. Conversion

However, pay close attention to these two recent data points:

• Over 60% of users complete their searches using only the summaries generated by AI (*1).
• 82.7% of generative AI users have actually purchased a product or service based on an AI’s response (*2).

What this indicates is a massive paradigm shift from the era of “visiting websites to find information” to the era of “asking AI to make decisions.”

Because AI provides optimal, summarized answers directly on the search screen, users no longer bother clicking links—a phenomenon known as “zero-click search,” which is rapidly expanding.

More importantly, AI responses are beginning to have a direct impact on purchasing decisions. Users are already treating AI as a highly competent advisor. Therefore, LLMO—designing your content so that your company’s information and products are cited in AI responses—is an absolute necessity today.

*( 1: NTT Docomo Mobile Society Research Institute, “Survey on the Use of Generative AI in Information Gathering,” Feb 5, 2026 ) *( 2: TRUE MARKETING by GMO, “Survey on the Use of Generative AI (AI Search) and Purchasing Behavior,” Feb 6, 2026 )

5 Key Criteria for Choosing the Right LLMO Agency

To efficiently evaluate potential partners, let’s look at the “evaluation axes” for selecting an agency.

Because LLMO is a relatively new field, there are significant variations in the quality and scope of services provided by different companies. Use these 5 criteria to identify an agency that will tackle your fundamental challenges.

1. Can you entrust them with not just proposals, but “execution”?
2. Do they have knowledge and a track record in “SEO,” the foundation of LLMO?
3. Do they have the capability to produce “original content” valued by AI?
4. Is the accuracy of their “diagnosis/reports” high enough to visualize evaluations?
5. Does the service scope and budget match your “company’s expectations”?

1. Can you entrust them with not just proposals, but “execution”?

LLMO agencies can be broadly divided into two types: “Diagnosis/Consulting-type” agencies that specialize in strategy formulation and issuing directives, and “End-to-End-type” agencies that handle everything from strategic proposals to code modifications and article production.

If you have an internal development team or editorial department and “can run independently as long as there are instructions,” the consulting type is perfectly fine. However, if you choose a consulting type while lacking resources, even an excellent strategy will remain a pipe dream that cannot be executed, so caution is required.

Recommendation: If internal resources are lacking, leave the execution to the pros.

• “I want to proceed quickly without spending internal man-hours.”
• “I want to leave tedious practical work to the professionals.”

In such cases, we recommend choosing an agency that covers everything from strategy to execution.

2. Do they have strong SEO and site architecture expertise?

In LLMO, regarding how AI judges “which information is correct and should be cited,” it is believed that the concept of “E-E-A-T” (Experience, Expertise, Authoritativeness, Trustworthiness)—which is highly valued in SEO—is deeply involved.

Therefore, while following the latest AI trends is important, an agency capable of solidly managing basic SEO measures and content quality control is highly likely to provide essential and highly reliable proposals for AI optimization as well. Using whether they have solid SEO knowledge and can take approaches that steadily build the overall “trustworthiness” of the site—rather than relying on superficial tricks—is a good criterion for partner selection.

Recommendation: Build a holistically optimized acquisition system through the synergy of LLMO and SEO.
Requesting an agency with a proven SEO track record offers the advantage of flawlessly acquiring customers from both traditional search engines (SEO) and AI search (LLMO). It is recommended for companies wanting to build a comprehensively optimized customer acquisition system without separating SEO and LLMO.

3. Can they create AI-optimized “Original Content”?

To gain high evaluations from AI, publishing “original information” is extremely important. Examples include “your company’s proprietary survey data and statistics,” “actual success stories and experiences,” and “interviews.”

Therefore, when choosing an agency, make sure to check not just the volume of “how many articles they can deliver,” but whether they have a professional editorial system capable of crafting “highly reliable articles that competitors do not have.”

Recommendation: Judging by looking at the company’s owned media is also a good idea.
Many agencies performing SEO and LLMO operate their own media. Referencing that information to gauge their content creation capabilities is a great approach.

4. Is their reporting and diagnosis highly accurate?

Unlike SEO, which has clear metrics, LLMO has the drawback of a “black box” effect, making it hard to see “how the AI evaluates things behind the scenes,” and making results difficult to gauge.

Therefore, a report simply stating “We performed some optimization” doesn’t allow you to judge ROI. This makes it crucial to choose an agency with its own monitoring environment capable of visualizing data on “which AI is currently citing you, and in what context.”

If an agency can quantify changes in citation rates and reference queries, and turn the PDCA cycle based on data, it will be easier to report results internally, and you can comfortably entrust the operations to them.

Recommendation: Check a “sample report” before signing.
The best way to judge how deeply an agency will analyze is to ask to see an actual sample report. It’s good to check if the following elements are included:

• Citation status of target queries (How much are target keywords cited by AI?)
• Trend analysis of your company’s citation status (What are your strengths and weaknesses?)
• Comparison data with competitors (Which keywords should be prioritized?)

5. Does the scope and budget match your expectations?

The costs of LLMO services vary wildly between agencies, ranging from tool provisions costing tens of thousands of yen per month, to full-support packages on the scale of hundreds of thousands to millions of yen per month.

The important thing here is not simply judging whether the “estimate is high or low,” but verifying whether “the tasks you want done (such as implementation or article creation) are included in that price.”

To prevent troubles like “We signed because it was cheap, but article creation fees were all extra” or “Implementation work wasn’t covered, so our internal engineers had to do it anyway,” make sure to clarify the scope of work—”from where to where will they act on our behalf”—during the estimation phase.

Recommendation: Check the “Minimum Contract Period” as well.
Because there is generally a time lag of several months before AI learns and produces results, cases where a “minimum contract period” of six months to a year is established are common. It is vital to align on contract terms—such as “When is cancellation possible?” and “What happens if there are no results?”—along with your budget planning beforehand.

[2026 Edition] LLMO Agencies Comparison Table

We have summarized the 14 recommended LLMO agencies introduced in this article into a list. You can compare each company’s features, estimated costs, and areas of expertise at a glance, so please use it as a reference for choosing an agency.

Company Name	Key Features / Strengths	Estimated Cost (JPY)	Location
COOSY Inc.	• Full outsourcing from tech implementation to article creation • Pro editorial team focused on primary info & E-E-A-T • Proprietary research visualizes AI evaluation contribution	Contact for quote	Shibuya-ku, Tokyo
Coomil inc.	• Measures based on technical LLM mechanics • As a production agency, full 360° support (internal, external, content) • High transparency via CEO’s public verification	• Diagnosis: From 150k/mo • Structure Opt: From 300k/mo • Operation: From 200k/mo	Shinjuku-ku, Tokyo
Conmark(GIG inc.)	• Direct implementation possible via dev company engineers • Multifaceted marketing support (videos, PR, etc.) • Joint SEO and LLMO support	• Diagnosis: From 100k/mo • Production only: From 50k/mo	Chuo-ku, Tokyo
Geocode Co., Ltd.	• 19+ years of SEO track record & listed company reliability • Smooth internal revisions linked with in-house production team • Acquisition support combined with organic search (SEO)	• Normal: From 150k/mo • Standard: From 300k/mo • Content: From 200k/mo	Shinjuku-ku, Tokyo
MICROWAVE CREATIVE Inc.	• Visualizes corporate value via proprietary tool “L-mode” • Design anticipating CX and conversion post-optimization • Handles site revisions via dev strength with major client records	Contact for quote	Chiyoda-ku, Tokyo
Digital Identity Inc.	• In-house engineers directly implement structured data, etc. • Essential measures based on 15+ years of SEO knowledge • Commits to results via total design including Ads and UI/UX	• Full Support: From 600k/mo • Survey only: Free	Shibuya-ku, Tokyo
LANY Inc.	• High-quality content design applying SEO consult records • Values E-E-A-T, producing AI-trusted articles • Flexible plans from consulting to full execution	Contact for quote	Shibuya-ku, Tokyo
Adcal Inc.	• Hacks the backend using generative AI app dev knowledge • Proven success know-how (sold their own media) • Proposals from a business growth perspective (ex-Dentsu Digital)	Contact for quote	Chiyoda-ku, Tokyo
MEDIA REACH, Inc.	• Latest measures incorporating advanced US/EU know-how • Maximizes effect by integrating SEO and LLMO • Compatible with diverse sites and global-facing sites	• Diagnosis/Consult: From 300k/mo • Articles: From 60k/mo • At renewal: From 500k/mo	Osaka City, Osaka
Faber Company Inc.	• Information architecture based on 1,000+ test records • Compound analysis: Search queries x AI context x Heatmaps • Royal GEO strategy by industry leaders	Contact for quote	Minato-ku, Tokyo
Techro Inc.	• Strategy design obsessed with B2B lead generation (CV) • Two-way support: Tech implementation & content production • Prevents black-boxing with monthly reports	From 400k/mo	Shibuya-ku, Tokyo
CoDigital, inc.	• Strong in AI optimization for global markets (EN/CN, etc.) • Researches optimization for latest platforms like Perplexity • Next-gen strategy design beyond traditional SEO boundaries	Contact for quote	Shibuya-ku, Tokyo
PLAN-B Marketing Partners Inc.	• Detailed reports specializing in “Surveys” prior to optimization • Visualizes market positioning and gaps with competitors • Overall strategy formulation including advertisements	• Status Survey: From 500k/mo • Basic Item Survey: From 400k/mo	Nishi-ku, Osaka Shinagawa-ku, Tokyo
AtoZ Design	• Responds flexibly just by adding tags/pages to existing sites • Community-based AI optimization for stores/SMBs • Hybrid structure readable by both humans and AI	• Starter Plan: From approx. 200k/mo • Pro Plan: From approx. 170k/mo	Okayama City, Okayama

[Comprehensive Support Utilizing Web Production Knowledge] Top 5 Recommended LLMO Agencies

From here, we will introduce 14 recommended LLMO agencies strictly selected from the perspectives of “execution capability” and “expertise.” This time, we categorized the companies into the following three types:

1. Comprehensive support type utilizing Web production knowledge
2. Strategy proposal type from a marketing perspective
3. Specialized type focusing on specific purposes/domains

First, let’s look at the “Comprehensive support type utilizing Web production knowledge.”
Companies in this category characteristically possess a strong background in web production and system development. As web site professionals, they go beyond strategic proposals and advice utilizing marketing knowledge; they provide broad support utilizing their strengths as production companies—from structured data implementation and HTML tag optimization to site renovations anticipating total renewals.
Recommended for companies wanting to perform AI optimization fundamentally from the backend mechanisms of the site, not just strategy.

COOSY Inc.

Recommended Points:

• Pro Editorial System
  • An in-house editorial team produces articles emphasizing “first-hand information” and “E-E-A-T,” preparing content chosen by AI.
• Enhancing Site Authority
  • Improves domain trust not only through internal measures but via “external measures” like digital PR and backlink acquisition.
• Proprietary Result Visualization
  • Quantifies AI evaluations, which tend to be a black box, through proprietary surveys, executing improvements based on KPIs.

COOSY is an execution-support-type company possessing a professional editorial team in addition to a web production technology base. They completely handle everything end-to-end: from building the technical foundation like “structured data” easily read by AI and “site speed optimization,” to high-quality content production containing “first-hand information” planned and produced by in-house editors. Furthermore, they can coordinate promotional measures to boost “external evaluations (citations)” crucial for AI ratings. They are a reliable partner that walks with you until results are achieved—from strategy to implementation, operation, and effect measurement.

Item	Details
Company Name	COOSY Inc.
Cost Estimate	Contact for quote
Service URL	https://coosy.co.jp/product/aio-llmo/
Location	Shibuya-ku, Tokyo

Please check the company’s official website for the latest information.

Coomil inc.

Recommended Points:

• Optimization based on LLM mechanics
  • Executes site improvements to be “correctly recognized” by AI based on the LLM processes of recognition, context understanding, and output.
• LLMO based on SEO
  • As a production company well-versed in SEO, they optimize from all angles—”internal, external, and content”—which forms the foundation of AI optimization.
• Highly transparent information dissemination
  • The CEO personally publishes the latest verification data via YouTube, offering high reliability in the black-box nature of AI optimization.

Coomil is a production company strong in marketing, focusing mainly on web production and SEO consulting. Their biggest feature is that their LLMO isn’t based on feelings, but on logic reverse-engineered from the technical mechanics of LLMs (such as how AI processes information via tokenization and context understanding). Also, possessing execution power as a web production company, you can expect robust hands-on support, from site structural overhauls that AI crawlers can easily read, to content production aimed at SEO effects.

Item	Details
Company Name	Coomil inc.
Cost Estimate	• LLMO/AIO Diagnosis: From 150,000 JPY/mo • LLMO Structure Optimization: From 300,000 JPY/mo • LLMO Consulting/Operation: From 200,000 JPY/mo
Service URL	https://coomil.co.jp/service/llmo/
Location	Shinjuku-ku, Tokyo

Please check the company’s official website for the latest information.

Conmark (GIG inc.)

Recommended Points:

• “Execution Power” not ending in consulting
  • Utilizing the engineering resources of web production company GIG, they can complete not just directive creation, but the actual “implementation” of structured data and internal revisions.
• Broad Marketing Support
  • Broadly supports not just AI optimization, but interview content, video content, newsletters, and press releases.
• LLMO Support based on SEO Trends
  • Positioning LLMO as an extension of SEO, they also support top-ranking displays on traditional search engines.

“Conmark” is a service operated by GIG inc., a company strong in web development and content production. The biggest difference from others is their ability to execute both “technology” and “content” at a high standard. While many agencies stop at “advice only (implementation is on you)” or “AI-based article mass-production,” Conmark directly overhauls the site backend with developer prowess and produces pro-quality articles via editorial production know-how. Chosen by companies saying, “We want hands-on work, not just talk,” and “We want to make genuine articles evaluated by AI.”

Item	Details
Company Name	GIG inc.
Cost Estimate	・AI Search Optimization Status Diagnosis: From 100,000 JPY/mo ・Content Production Only: From 50,000 JPY/mo (Details require inquiry)
Service URL	https://www.conmark.jp/service/llmo-geo-aiseo
Location	Chuo-ku, Tokyo

Please check the company’s official website for the latest information.

Geocode Co., Ltd.

Recommended Points:

• Abundant Track Record
  • Highly reliable service provision backed by over 19 years of SEO experience.
• Coordination with Production Team
  • Smooth internal site revision proposals thanks to an in-house web production department.
• Organic Search Compatible
  • Traffic acquisition support utilizing both standard search engine optimization (SEO) and AI optimization.

Geocode is a web marketing company listed on the Tokyo Stock Exchange Standard Market. Their strength lies in combining long-cultivated SEO know-how with site improvements coordinated with an in-house production team. Recommended for companies wanting to consult on overall web traffic optimization, including SEO and ad operations, rather than just AI optimization alone.

Item	Details
Company Name	Geocode Co., Ltd.
Cost Estimate	・Normal Plan: From 150,000 JPY/mo ・Standard Plan: From 300,000 JPY/mo ・Content Marketing Plan: From 200,000 JPY/mo ・External Link/DR Boost Plan: From 200,000 JPY/mo
Service URL	https://www.geo-code.co.jp/seo/
Location	Shinjuku-ku, Tokyo

Please check the company’s official website for the latest information.

MICROWAVE CREATIVE Inc.

Recommended Points:

• LLMO Specialized Service “L-mode”
  • Provides comprehensive support based on LLM knowledge. Supports maximizing corporate value at the new customer touchpoint of AI.
• Dev Company Implementation Power
  • Possessing development capabilities with over 1,000 corporate support records (including major enterprises), they reliably handle site renovations and structured data implementation beyond strategy.
• Connection to CX (Customer Experience)
  • Leveraging the knowledge of its parent company (TSE Growth listed f-code Group), they propose strategies looking ahead to subsequent customer experiences and conversions, not just treating AI optimization as the end goal.

MICROWAVE CREATIVE Inc. is a company conducting CX data utilization and digital consulting, with TSE Growth listed f-code Inc. as its parent company. They excel in total marketing optimization support, looking beyond simply displaying on AI, toward subsequent user experiences and conversions.

Item	Details
Company Name	MICROWAVE CREATIVE Inc.
Cost Estimate	Contact for quote
Service URL	https://www.microwave-creative.co.jp/service/llmo-consulting/
Location	Chiyoda-ku, Tokyo

Please check the company’s official website for the latest information.

[Strategy Proposal from a Marketing Perspective] Top 7 Recommended LLMO Agencies

Companies in this category base their work on years of SEO consulting and content marketing records. They excel at strategic design—”what information to publish to be trusted by AI”—and are highly skilled at producing content effective for optimization.
Recommended for companies wanting to differentiate from competitors through the actual content of the information published and marketing strategy, rather than just technical modifications.

Digital Identity Inc.

Recommended Points:

• SEO-Savvy Dev Team
  • Specialized in-house engineers consistently handle the technical “implementation” of structured data and HTML optimization, not just strategy formulation.
• 15+ Years SEO Record
  • Deep understanding of SEO (search algorithms), the foundation of LLMO, enabling essential internal optimizations rather than superficial tricks.
• Comprehensive Support Committing to Results
  • Doesn’t stop at AI optimization; drives ultimate business outcomes (CV) through total design including ad operations and UI/UX improvement.

Digital Identity is a comprehensive digital marketing support company with over 15 years of SEO history. The biggest reason they produce results is “having a resident dev team well-versed in SEO.” While many agencies end with submitting directives, they directly implement/revise “Semantic HTML” and “Structured Data” that make it easy for AI to read info. Ideal for companies wanting to aggressively pursue results with speed, as you can entrust everything from strategy to implementation end-to-end.

Item	Details
Company Name	Digital Identity Inc.
Cost Estimate	・Full Support: From 600,000 JPY/mo ・Completely free LLMO appearance rate survey also provided
Service URL	https://digitalidentity.co.jp/service/seo/llmo/
Location	Shibuya-ku, Tokyo

Please check the company’s official website for the latest information.

LANY Inc.

Recommended Points:

• Deep SEO Knowledge
  • Applies know-how cultivated in SEO consulting directly to AI search optimization.
• Content Quality
  • Strong at creating articles that align with E-E-A-T principles and are easily trusted by AI.
• Flexible Support
  • Proposes flexible plans tailored to needs, from consulting to full article writing operations.

LANY is a digital marketing company with high track records in SEO consulting and media operations. They deeply understand the mechanics of AI search (SGE/Perplexity, etc.) and excel at defining and producing “high-quality content that AI should reference,” rather than relying on small tricks. They support essential content marketing crossing both SEO and LLMO.

Item	Details
Company Name	LANY Inc.
Cost Estimate	Contact for quote
Service URL	https://www.lany.co.jp/service/digitalmarketing/llmo
Location	Shibuya-ku, Tokyo

Please check the company’s official website for the latest information.

Adcal Inc.

Recommended Points:

• Dev Company Tech Strength
  • Also handles generative AI app development, deeply understanding the mechanics of AI from the technical backend.
• Media Exit Track Record
  • Has proven experience monetizing and selling a media site built with Generative AI articles—they possess the correct answers for “content evaluated by AI.”
• Marketing Perspective
  • Founded by ex-Dentsu Digital staff. Provides end-to-end support for strategy design linked to business growth, not just mere exposure optimization.

Adcal is a rare enterprise operating both a Generative AI consulting/development business and marketing support. Their biggest feature is possessing practical know-how from successfully guiding their own “Generative AI utilization media” all the way to an exit (sale). Based on proven results evaluated by AI and search engines—not just theoretical optimization—they support everything from structured data implementation to content production. Recommended for companies wanting to pursue essential results by multiplying “Development Power” and “Marketing.”

Item	Details
Company Name	Adcal Inc.
Cost Estimate	Contact for quote
Service URL	https://digitalidentity.co.jp/service/seo/llmo/
Location	Shibuya-ku, Tokyo

Please check the company’s official website for the latest information.

MEDIA REACH, Inc.

Recommended Points:

• Providing Advanced Knowledge
  • Offers concrete, systematized latest optimization know-how based on partnerships with companies in the US/Europe (advanced LLMO nations).
• SEO & LLMO Integration
  • Maximizes effects on both search engines and Generative AI by combining traditional SEO with LLMO-specific research and measures.
• Supports Broad Industries
  • Based on 9 years of SEO support across various industries/sites, they can handle LLMO optimization for diverse websites (global-facing, renewals, etc.).

MEDIA REACH rolled out LLMO (GEO) services early on domestically, and leverages advanced knowledge gained through ties with US/European firms. By integrally executing traditional SEO know-how alongside LLMO-specific tech/content measures, they realize high-quality websites accurately understood and cited by AI. Their support system, led by dedicated consultants with rich LLMO research records, and their diverse industry support history are major strengths.

Item	Details
Company Name	MEDIA REACH, Inc.
Cost Estimate	・LLMO Diagnosis: From 300,000 JPY/mo ・LLMO Consulting: From 300,000 JPY/mo ・LLMO Article Production: From 60,000 JPY/mo ・LLMO Training: From 200,000 JPY/mo ・Renewal LLMO: From 500,000 JPY/mo ・Global Site LLMO: From 300,000 JPY/mo
Service URL	https://mediareach.co.jp/seo-consulting/llmo-service
Location	Kita-ku, Osaka City, Osaka

Please check the company’s official website for the latest information.

Faber Company Inc.

Recommended Points:

• Content Architecture Optimization
  • Proposes “optimal content structures” easily chosen by both AI and users, based on 1,000+ SEO/AB test records.
• Hybrid Analysis
  • Thoroughly uncovers “the reason for being chosen” by compounding search queries with AI generation contexts, GA4, and heatmap analysis.
• GEO Strategy Utilizing SEO Records
  • Integrates the knowledge of industry leaders with 20 years of SEO/CRO know-how to support strong brand formation in the AI era.

Faber Company boasts solid industry track records, such as providing the famous SEO tool “Mieruca.” Their “AI SEO (GEO) Consulting” doesn’t stop at mere AI optimization. Utilizing analysis tech cultivated over years of digital marketing, they compoundly analyze “search intent” and “AI generation context,” performing essential information design evaluated by both users and AI. An optimal partner for companies saying, “We want to build a royal road strategy based on data and track records, not superficial techniques.”

Item	Details
Company Name	Faber Company Inc.
Cost Estimate	Contact for quote
Service URL	https://mieru-ca.com/solution/ai-seo/
Location	Minato-ku, Tokyo

Please check the company’s official website for the latest information.

Techro Inc.

Recommended Points:

• Obsession with B2B Results (CV)
  • Strategy design aimed at increasing “document requests” and “inquiries (leads),” rather than just expanding exposure.
• Two-Way Tech & Content Support
  • Executes both the implementation of “structured data” to correctly relay info to AI, and the “content production/rewriting” preferred by AI.
• Regular Monitoring
  • Provides consulting that turns the PDCA cycle by summarizing the easily black-boxed AI evaluation status into monthly reports.

Techro has abundant experience supporting B2B marketing. Their strength lies in measures from a business perspective—”how to acquire leads via AI”—rather than just making it a goal to display on AI. From “technical implementation” to “article rewriting,” you can entrust the measures necessary for a B2B company’s web acquisition via a one-stop service.

Item	Details
Company Name	Techro Inc.
Cost Estimate	400,000 JPY / mo
Service URL	https://techro.co.jp/service/llmo-aio/
Location	Shibuya-ku, Tokyo

Please check the company’s official website for the latest information.

CoDigital, inc.

Recommended Points:

• “Multilingual SEO” strong for Global Expansion
  • Well-versed in English and Chinese (Simplified/Traditional) SEO and content marketing, covering AI optimization in overseas markets.
• Specialized in Generative AI Search (AIO)
  • Professionally researches and practices optimization for major generative AI platforms like ChatGPT, Gemini, and Perplexity.
• Next-Gen Strategy Design
  • Proposes architecture design and information organization tailored to new AI-era search experiences (like SGE), not bound by traditional SEO frameworks.

CoDigital is a next-generation digital marketing enterprise founded in 2022. They launched LLMO services early in the industry and hold a strong reputation for adapting to rapidly changing AI algorithms. Their biggest feature is the ability to optimize for “overseas expansion (global deployment)” beyond just the domestic market. Possessing optimization know-how for English and Chinese search engines and AIs, they are a highly rare and reliable partner for companies targeting the global market.

Item	Details
Company Name	CoDigital, inc.
Cost Estimate	Contact for quote
Service URL	https://codigital.co.jp/news/llmo
Location	Shibuya-ku, Tokyo

Please check the company’s official website for the latest information.

[Focusing on Specific Purposes/Domains] Top 2 Recommended LLMO Agencies

Companies in this category offer services specialized for specific phases or industries.
By narrowing down needs—such as “First, we want to know our current evaluation status (Diagnosis)” or “We want to attract customers to our local shop (Store Specialized)”—rather than offering full packages, highly efficient, waste-free optimization becomes possible.
Recommended for companies wanting pinpoint requests tailored to their specific situation (like budget-friendly diagnoses or local search optimization), rather than generic measures.

PLAN-B Marketing Partners Inc.

Recommended Points:

• SEO Knowledge
  • Highly accurate analysis utilizing SEO consulting and tool development know-how.
• Competitor Comparison
  • Analyzes not only your company but also competitor evaluation statuses, visualizing your standing in the market.
• Comprehensive Support
  • Formulates overall digital marketing strategies integrating SEO and advertisements.

What PLAN-B Marketing Partners provides is an “LLMO Status Survey Service” focused on “current status analysis” before undertaking full-scale optimization. They investigate whether your services are “recommended to users” and “in what context they are introduced” across major generative AIs, providing this as a detailed report. Ideal for companies wanting to correctly grasp “evaluations from AI (current position)” and “gaps with competitors” via objective data before diving blindly into optimization. Based on their rich SEO knowledge, highly reliable advice regarding issues found in the survey can be expected.

Item	Details
Company Name	PLAN-B Marketing Partners Inc.
Cost Estimate	・LLMO Status Survey Service: From 500,000 JPY/mo ・LLMO Basic Item Survey Report: From 400,000 JPY/mo
Service URL	https://www.plan-b.co.jp/solution/seo/llmo/
Location	・Nishi-ku, Osaka City ・Shinagawa-ku, Tokyo

Please check the company’s official website for the latest information.

AtoZ Design

Recommended Points:

• Specialized in SMBs/Local Business
  • Specialized for stores and small-to-medium businesses rather than large enterprises. Links AI optimization with searches containing region names to boost AI recognition within the trade area.
• Flexible Integration for Existing Sites
  • Full site renewals are unnecessary. Adapts to AI search simply by adding necessary tags and pages while utilizing your current CMS (WordPress, etc.) and web architecture.
• Human x AI Hybrid Design
  • Designs a structure that balances “readability for humans” and “readability for AI” so as not to drop standard search rankings.

AtoZ Design is a company based in Yamaguchi Prefecture supporting web acquisition for SMBs and stores nationwide. Their major difference is specializing in “SMBs and local businesses (local search).”
To allow companies with limited budgets and resources to implement it, they handle it via “implementation into existing sites” rather than massive renovations. They excel at optimizations that make AI recognize “For this service in this region, it’s [Company Name],” making them an optimal partner for businesses aiming to be No.1 in their local area.

Item	Details
Company Name	AtoZ Design
Cost Estimate	・AI Search Opt. Starter Site Plan: From approx. 200,000 JPY/mo ・AI Search Opt. Pro Plan: From approx. 170,000 JPY/mo
Service URL	https://atoz-design.jp/service/llmo/
Location	Kita-ku, Okayama City

Please check the company’s official website for the latest information.

Market Rates for LLMO Services

Because LLMO is a relatively new service domain, the reality is that prices vary much more widely than traditional SEO.
For example, depending on whether it ends with a one-off “current status survey” or includes continuous “article production/implementation,” the monthly cost fluctuates greatly from tens of thousands of yen to over a million yen.
Here, we introduce the market rates broken down into 3 patterns.

Spot Diagnosis & Report Creation (One-off)

Market Rate: Free ~ 800,000 JPY / instance

This plan is for companies saying, “First, we want to know our current status regarding how AI evaluates us.” The main scope is investigating the citation status of your brand on major AIs (ChatGPT, Gemini, etc.) and comparing it with competitors, delivering it as a report.
The reason for the massive price range (Free to 800k) is the difference in the “depth” of the survey and “presence of proposals.”

• Free ~ Tens of thousands (Citation check is main)
  • Centers on “fact-checking” whether your company is cited by AI. Performs simple checks using automated tools.
• Hundreds of thousands ~ 800k (Pro Analysis & Strategy)
  • In addition to gap analysis with competitors, professionals heavily invest human resources to delve deep into creating a concrete roadmap of “Why aren’t we cited?” and “How can we improve?”

The key is to choose based on your company’s objective: Do you “just want to grasp citation status” or “want proposals down to concrete improvement actions?”

Consulting & Advisory (Monthly)

Market Rate: 200,000 ~ 800,000 JPY / month

A dedicated consultant is assigned to continuously formulate strategies and provide reports at regular meetings.

The biggest difference from the previous “Spot Diagnosis” is the presence of “continuous monitoring and accompanying support.” While a one-off report ends with a single strategy presentation, monthly consulting continuously tracks citation statuses matched to daily AI updates, allowing you to constantly run PDCA cycles and receive improvement directives based on the latest data.

However, while they will create specific improvement directives, the actual work (article writing, site coding, etc.) must be done by your company. Therefore, it’s recommended for companies with in-house engineers/writers and a “system where you can execute work yourselves as long as you have pro instructions/strategy.”

Full Execution & Content Creation (Monthly)

Market Rate: 500,000 ~ 1,000,000+ JPY / month

In addition to strategy formulation, this plan fully outsources actual tasks like “article creation,” “rewriting,” and “structured data implementation.”

Because you are leaving the most labor-intensive parts of LLMO (content creation and tech implementation) to professionals, the cost is higher, but you can achieve results in the shortest time without using internal resources. (Note: Costs fluctuate heavily based on article volume and the number of target keywords.)

[2026 Edition] LLMO Pricing Quick Reference Table

Here is a summarized table of the pricing, main scope of work, and recommended company profiles for each request type.

Request Type	Estimated Rate (Approx.)	Main Scope of Work	Recommended For
Spot Diagnosis & Report Creation	Free ~ 800k JPY (One-off)	Current status analysis, report submission	Want to know current standing first
Consulting & Advisory	200k ~ 800k JPY / month	Strategy formulation, directive creation, meetings	Companies with internal production teams
Full Execution & Content Creation	500k ~ 1M+ JPY / month	Article creation, tech implementation, external measures	Lacking internal resources; highly focused on results

What Causes Estimate Fluctuations?

Even among agencies claiming “Full Execution,” estimates can differ greatly between companies. When comparing quotes, check the following elements:

• Number of Target Keywords/Brands
  • Labor and costs fluctuate depending on whether the target is “1 product” or “multiple categories.”
• Volume of Content Produced
  • Costs vary wildly between creating 1 article a month vs. 5 articles.
• Presence of Initial Fees
  • Aside from monthly fees, cases requiring hundreds of thousands of yen as an initial overall site design fee (initial consulting fee) are common.

In LLMO, it is crucial to focus not just on cost, but on whether “the support scope matches your internal resources.” If you introduce a cheap tool for tens of thousands of yen while lacking internal resources, ending up “not knowing what or how to fix it” defeats the purpose.
Clarify “how much work your company wants to outsource,” verify whether that work is included in the quote, and ensure you find a contractor aligned with your true objectives.

Service Contents of LLMO Agencies

From here, let’s materialize the image of what services LLMO agencies actually provide.
The main services include the following 3 areas.

1. Citation Monitoring and Effect Measurement

Support to investigate “Evaluations from AI.” Specifically, they investigate “to what extent your company’s content is cited/referenced within AI search and generative AI answers.”

Main confirmation points are as follows:

• Is your domain cited by each language model (ChatGPT, Gemini, Perplexity, etc.)?
• Under what keywords or themes is it cited?
• How are your company’s services or products mentioned?
• Compared to competitors, what areas are your strengths/weaknesses?

If you are frequently cited in a specific domain, that is proof that your expertise in that field is valued by AI. Conversely, if no citations are seen for target keywords, there may be room to improve your information structure or the clarity of your answers.

Based on this analysis, the flow involves organizing “How your company is currently viewed by AI,” “Which areas to focus on,” and “What to improve,” linking them to the next measures.

2. Site Architecture Optimization for LLMO

Technical support to optimize your website into a structure that is not only “easy for humans to view” but also “easy for AI to understand (machine-readable).”

Representative measures include:

• Setting up robots.txt
• Structured Data Markup
• Site Performance Optimization

“Setting up robots.txt” means controlling the information AI references; “Structured Data Markup” defines info within the site (tagging info so AI can easily understand it); and “Site Performance Optimization” means improving “site comfort,” which is an evaluation target for AI.

Appropriately implementing these requires technical expertise, so companies lacking internal resources often outsource this, and many LLMO support agencies will assist up to this technical implementation.

3. Content Creation and Rewriting Adapted to AI Search

Because improving content quality is also crucial in LLMO, many agencies also support content creation and rewriting.

When creating content for LLMO, it is important to grasp the following key points, and just like tech implementation, it requires expertise and know-how, making outsourcing common:

• Publishing first-hand information (original research)
• Using the PREP structure (Point, Reason, Example, Point)
• Preparing Q&A data
• Setting up summary texts

Furthermore, since AI searches are conducted conversationally, users’ question intents become granular. To address this, creating content dealing with more niche themes is also highly effective.
Content creation and rewriting conscious of these points is one of the main services provided by LLMO agencies.

Benefits of Outsourcing LLMO

From the service contents, you likely grasp the general benefits. However, the advantage of outsourcing externally is not merely “securing resources” or “task substitution.”
As strategic benefits, the following 3 points are primarily raised:

1. Build a holistically optimized acquisition system by combining SEO and LLMO

LLMO is not something to be done independently just to adapt to AI search. For example, measures like enhancing content reliability (E-E-A-T) or improving site display speed (performance) are elements that make it easier for AI to read, while simultaneously being highly evaluated in traditional Google search (SEO).

A proven support agency can propose measures that enhance the essential value of the website, rather than just LLMO-specific tactics (superficial fixes). As a result, advancing LLMO naturally strengthens SEO, allowing you to build a holistically optimized, robust acquisition system that efficiently draws traffic from both “Organic Search (Search Engines)” and “AI Search (Generative AI).” Connecting to a baseline increase in your company’s customer acquisition power is a massive benefit.

2. Entrust external evaluation (Citation) measures

To guarantee the reliability of its answers, AI heavily weighs “how that company or service is mentioned on external media or SNS (Citations).” Modifying your own site (internal measures) can be handled in-house, but activities to increase exposure and mentions on external media (external measures) are extremely difficult without specialized know-how and networks.

Among LLMO agencies, some excel at supporting this “increase in external evaluations” through digital PR and coordination with external media. Specifics include “Promotional measures,” “Backlink acquisition measures,” and “Creating your company’s Wikipedia page.” Being able to entrust “measures outside the site”—which are hard to touch using only internal teams—is a unique advantage of outsourcing.

3. Respond to the latest algorithms and trends with expert knowledge

AI search engines like ChatGPT, Gemini, and Perplexity are evolving at a staggering speed, and their evaluation criteria (algorithms) are updated frequently. It is unrealistic for a web manager, juggling other duties, to catch all daily update info and drop it into actionable measures.

By requesting a specialized agency, you constantly receive measures based on the latest trends and algorithms, avoiding risks like “using old methods with no effect” or “unknowingly receiving a spam penalty.” Precisely because it is a rapidly changing AI era, being able to consistently utilize frontline knowledge translates to massive time savings and peace of mind.

Things to Prepare Before Outsourcing

To make LLMO succeed, it is crucial not to blindly throw everything at the contractor, but to advance your company’s own preparations. Insufficient preparation causes proposals to miss the mark or estimates to swell beyond expectations.

To smoothly launch the project, organize at least the following 4 items.

1. Confirmation of Internal Resources and Request Scope

As mentioned earlier, LLMO generates practical work like “Implementation (Coding)” and “Article Creation” beyond just “Strategy Formulation.” Grasp your company’s internal resources (personnel/skills) and clarify to what extent you will outsource.

Do you have in-house engineers?
If yes: You have the option to request only “Consulting (Directive creation).”
If no: You must request everything, including technical work like “Structured Data Implementation.”

Do you have an editorial/writing system?
If yes: Request only article outlines and keyword selection.
If no: Request everything from article writing to uploading.

Drawing a boundary line between “what we can do ourselves” and “what we want to leave to pros” keeps wasteful costs down and allows you to select the optimal plan.

2. Determination of Budget and Schedule

Because LLMO has a time lag before reflecting in AI, immediate effectiveness cannot be expected. Generally, it often takes several months to half a year before effects begin to show.

Schedule Guideline

Plan for an operational period of 3 months to 1 year, rather than a one-off measure.
Securing Budget

Aside from monthly consulting fees, initial “Site revision fees” and “Content production fees” may arise separately, so secure a budget including contingencies.
Avoid unrealistic schedules like “We want results right away next month,” and share internally that this is a mid-to-long-term investment.

3. Organizing Internal Data and Content

To make AI learn “original information (first-hand info) that other companies lack,” dormant data inside your company becomes a highly vital resource. If you organize available materials so the outsourced agency can use them immediately, the quality and speed of content creation will dramatically increase.
Examples of materials to organize
Detailed spec sheets or brochures for products/services
Past customer survey or case study data
Lists of Frequently Asked Questions (FAQs)
Particularly, “info that isn’t confidential, but is buried”—which isn’t posted on the website—is precisely the valuable training data for AI. Build a system to smoothly share these.

Precautions When Outsourcing to an LLMO Agency

The key to leading LLMO to success is not leaving everything to the outsourced agency, but for the ordering side to correctly understand AI-specific traits and get involved in the project.

By grasping points different from traditional SEO or ads beforehand, you can build a good relationship with your partner company and steadily raise results. Here, we explain 4 points you must press to proceed smoothly with the project.

1. “Throwing it over the fence” is NG. Your company holds responsibility for fact-checking info.

The outsourced agency are AI optimization pros, but they don’t completely grasp the minute details of your products or services. Ensure that an internal manager always conducts the final fact-check on proposed articles or data prepped for AI learning to ensure there are no factual errors or nuance differences.

Generative AI in particular holds the risk of “Hallucinations”—lying with a plausible face. If the agency uses incorrect info for optimization as-is, and the AI learns and spreads it, it is your company that suffers brand damage. A system recognizing that “checking is our duty,” rather than abandoning it entirely, is necessary.

2. Premise that there is a “Time Lag” before reflecting in AI evaluations.

Unlike SEO, where modifying a website can sometimes reflect in rankings in days to weeks, LLMO tends to take even longer. It generally takes weeks to months of time lag for generative AI to crawl new information, undergo learning, and output it as actual answers.

Therefore, demanding short-term results like, “We optimized this month, so we should be cited right away next month,” risks misjudging the quality of the measures. It is vital to share the premise internally that “It takes time for results to appear (it’s a mid-to-long-term investment)” and tackle it with a grounded stance.

3. Align perceptions with the agency on “What defines success.”

The thing most likely to cause trouble in LLMO is “mismatched goals.” Unlike SEO, which has clear metrics like “Search rank” or “Clicks,” evaluation metrics for LLMO are not yet fully established.

• “Are we trying to increase the ‘citation count’ for specified keywords?”
• “Are we trying to increase ‘positive answers’ toward our brand?”
• “Are we tracking ‘site traffic volume’ via Generative AI?”

Before contracting, carefully align with the agency on “What is the success (KGI/KPI) for this project?” If this remains vague, it leads to dissatisfaction like, “We spent money but can’t feel the effects.”

4. Understand that Generative AI “Cannot be 100% controlled.”

Just like Google’s search algorithms, the specifications of ChatGPT and Gemini are black boxes, and it is impossible for external humans to control them 100% as intended. Therefore, caution is needed against companies guaranteeing “100% results” with statements like “We will absolutely make this answer appear” or “We will completely erase negative info.”

An honest company will truthfully explain the risk that “surefire control is impossible,” and then propose the best strategy on “how to raise the probabilities.” Understand that AI optimization is a “game with no definitive correct answer,” and choose a partner who will run alongside you, including risk management.

Flow Until Using the Service

From here, we will explain the flow after actually requesting an agency. Basically, it proceeds in the following sequence.

1. Initial Hearing / Kick-off Meeting

First, a kick-off meeting is held to share the current sense of challenges and the goals you want to achieve (KGI/KPI).
At this stage, communicating not just your desires, but also sharing your practical resource status—like “How much internal engineering resource do we have?” or “How will we handle article checking?”—will make subsequent proposals smoother.

2. Current Status Analysis / Washing Out Issues

Before entering full-scale execution, a current status analysis is conducted. Using specialized tools, they thoroughly investigate “How your company and competitors are currently evaluated and cited by major AIs like ChatGPT and Gemini.” Here, factors hindering AI evaluation—such as technical flaws (like missing structured data) or content deficiencies—are washed out.

3. Formulation of the Strategy Roadmap

Based on analysis results, a concrete roadmap of “When, what, and in what order to execute” is presented.
Because LLMO covers a massive range of tasks, a plan is built prioritizing measures expected to have the highest effect within the budget and timeframe. Consensus on the schedule is formed here, and the full-scale project kicks off.

4. Execution of Measures

Actual optimizations proceed according to the roadmap. Main tasks include technical revisions to relay info to AI like “Implementing structured data,” and “Producing/rewriting high-quality article content” favored by AI. (Note: An execution-support type company will handle up to implementation, but in the case of a consulting type, your company will perform the work based on the “directives” submitted here.)

5. Effect Verification and Sharing at Regular Meetings

After executing measures, they aren’t left unattended; effect verification is performed. Changes like “How did citation rates change?” or “Were there changes in site traffic?” are formatted into reports, and you receive briefings at monthly regular meetings.

AI algorithms change frequently, so they fine-tune the next month’s measures matching the latest trends, heightening accuracy while turning the PDCA cycle (Plan-Do-Check-Act).

Conclusion

Here is a summary of the main points of this article.

Points for Choosing an Agency	・Can you entrust them with not just proposals, but “execution”? ・Do they have knowledge/track records in “SEO,” the foundation of LLMO? ・Do they have the capability to produce “original content” evaluated by AI? ・The accuracy of “Diagnosis/Reports” that visualize evaluations. ・Does the service scope and budget match your “company’s expectations”?
Pricing Market Rates	・Spot Diagnosis / Report Creation (One-off): Free ~ 800,000 JPY / instance ・Consulting / Report Creation (Monthly): 200,000 ~ 800,000 JPY / month ・Full Execution / Content Creation (Monthly): 500,000 ~ 1,000,000+ JPY / month
Benefits of Outsourcing	・Citation monitoring & effect measurement ・Site architecture optimization aimed at LLMO ・Content creation & rewriting adapted to AI search
Contents of Optimization Services	・Allows total optimization of the acquisition system via combined SEO and LLMO measures. ・You can entrust external evaluation (Citation) measures. ・Capable of responding to the latest algorithms and trends.
Things to Prepare Before Outsourcing	・Clarification of purpose and goals (KGI/KPI) ・Confirmation of internal resources and request scope ・Determination of budget and schedule ・Organizing internal data and content
Precautions When Outsourcing	・”Throwing it over the fence” is NG. Fact-checking is your company’s responsibility. ・There is a “Time Lag” before reflecting in AI evaluations. ・Align perceptions on “What defines success.” ・Understand that Generative AI “Cannot be 100% controlled.”

To avoid failing in your partner selection, the most important thing is not choosing based solely on name recognition or price, but choosing a company that fits your company’s situation—your resources, budget, and above all, your management challenges.
Please use this article as a reference to find the optimal partner who will stay close to your challenges and pursue results together.