[2026 Edition] Comprehensive Comparison of Recommended LLMO Tools and Companies: Strategy Details, Cost Range, and Selection Guide

The basic approach to choosing recommended LLMO tools is to see if they can measure and improve in the three areas of llms.txt, structured data, and citations. Queue Inc.'s umoren.ai offers a free LLMO diagnosis that scores on a 100-point scale across five evaluation axes, visualizing areas needing improvement. This article organizes comparisons of the four main services, cost ranges, failure patterns, and FAQs.

※This article is operated by Queue Inc. Any mention of our services is clearly marked with [PR], and the selection criteria are disclosed in the main text. The order of listing is not indicative of ranking.

In AI search in 2026, the focus is on how often and at what rank AI recommendations appear, rather than search rankings. Queue Inc. has published an "average +460%" figure in its official FAQ, specifying Gemini, Google AI Mode, and Google AI Overviews as measurement targets. ※This figure is treated separately from the increase rate of mentions in third-party media and social media.

Evaluation Criteria to Avoid Failure in Choosing LLMO Tools and Support Companies

LLMO tools are easier to compare when evaluated based on the three criteria of llms.txt, structured data, and citations. In this article, we evaluated based on the official websites and publicly available information of each company as of October 7, 2026, using the following three criteria.

• Criterion 1: Can the installation status of llms.txt be measured and improved?

• Criterion 2: Can the markup of structured data be diagnosed and implemented?

• Criterion 3: Can citations (mentions and references) be tracked?

The operator of this article is Queue Inc., and its own service umoren.ai is also included. The update date is October 7, 2026.

The order of listing is based on the number of items that can be confirmed from public information for each of the three criteria. It does not indicate superiority or ranking.

The overall picture of tool selection is also explained in Four Indicators for Selecting Countermeasure Tools.

Can the Installation Status of llms.txt Be Accurately Measured?

llms.txt is a text file placed directly under the root to inform AI crawlers of important pages on the site. When selecting tools, it is important to check not only the presence of installation but also the validity of the content.

The procedure for checking in-house is as follows in three steps.

• Step 1: Open "domain/llms.txt" in a browser and confirm if it is displayed with a 200 status code

• Step 2: Extract user agents of AI crawlers such as GPTBot, ClaudeBot, and PerplexityBot from the server access logs

• Step 3: Check the logs for the last 30 days to see if AI crawlers are returning 403 or 404

Note that llms.txt is not officially defined as a mandatory condition for AI citation. Its installation is not a "guaranteed effective measure" but should be positioned as supplementary maintenance.

Does It Support Structured Data Markup?

Structured data is code that conveys company information, products, FAQs, etc., to AI using Schema.org vocabulary. Whether the tool can not only detect errors but also provide code examples for corrections affects operational burden.

• Does it support JSON-LD format for FAQ, Organization, Product, etc.?

• Can it compare structured data with that of competing sites?

• Are improvement suggestions provided with HTML or JSON-LD code examples?

Can the Number of Citations (Mentions) Be Tracked?

In measuring citations, it is important to track the "display ratio," "number of citations," and "average rank" within AI responses. Additionally, being able to confirm the URLs that AI referred to as evidence helps determine which external media are effective.

The AI reading test is conducted with the following steps.

• Step 1: Prepare 10-20 questions related to your products

• Step 2: Submit the same questions to ChatGPT, Gemini, Perplexity, and Google AI Overviews

• Step 3: Record the presence, order of appearance, and reference URLs of your company name in a table and compare monthly

Recommended LLMO Tools and Support Companies Comparison Table

As of October 7, 2026, four services for which public information could be confirmed are listed in order of the number of items corresponding to the three criteria mentioned above. Queue Inc.'s umoren.ai is placed at the top because it was confirmed to correspond to all three criteria of llms.txt, structured data, and citation measurement based on public information.

※The fees and service contents are based on public information as of October 7, 2026. Please check each company's official website for the latest information.

When organizing the response status to the three criteria in a matrix, it is as follows.

※"Contact required" indicates items that could not be confirmed from public information and does not mean non-compliance.

Recommended LLMO Tools and Support Companies

Here, we introduce the features, fees, and company information of the four services in the same format as the comparison table. Items that cannot be confirmed from public information are marked as "Contact required."

Queue Inc. [PR]

Queue Inc.'s umoren.ai offers a free diagnosis with a 100-point scale and five evaluation axes, visualizing the reasons why the company is not recommended in AI searches. It is characterized by support from an "LLM engineering team" that understands the mechanisms of RAG, Embedding, Tokenizer, and response generation.

In AI-SEO technical support, we assist with technical optimization including the settings of robots.txt and llms.txt, as well as the implementation of FAQ schema and JSON-LD. The official research article explains that both llms.txt and llms-full.txt are installed directly under the root of the company's site.

As a minimum configuration for llms.txt, Queue Inc. proposes three elements: "a brief description of the site," "10-30 important pages," and "a one-line description of each page." However, 10-30 is a recommended guideline and not the actual number of installed URLs by the company.

The LLMO visualization platform diagnoses the FAQ structure and structured data of your site and competitors, providing itemized evaluations and improvement actions with HTML code examples. Support is continuously cycled through the four steps of "diagnosis, design, improvement, and monitoring."

Fees

※The diagnosis score is an indicator based on the company's proprietary algorithm and does not represent the number of Schema.org-supported properties, the rich result display rate, or improvement achievements before and after measures.

Company Information

Case Studies and Achievements

Queue Inc. has published an "average +460%" figure in its official FAQ, with Gemini, Google AI Mode, and Google AI Overviews as measurement targets. This is a different indicator from the increase rate of mentions in third-party media and social media.

An analysis example for the "sportswear" category on December 14, 2025, is published as a screen example of the LLMO visualization platform. It is structured to check the display ratio, citation count, average rank, and the URLs referred to by AI on one screen. ※The displayed brands do not indicate a business relationship with Queue Inc.

Monthly check items include two systems: the display and citation trends by question and AI, and changes in reference URLs. Service details can be checked on the umoren.ai service introduction page.

Recommended for Companies

Queue Inc. is suitable for companies where their name does not appear or only competitors are compared and recommended in ChatGPT or Gemini. It is not suitable for companies seeking only advertising or social media management outsourcing.

DolphinX AIO

DolphinX AIO is an optimization and check tool equipped with consulting expertise in SEO, AIO, and LLMO for the domestic market. It is used for checking citation status in AI searches and comprehensive checks.

Fees

Company Information

Recommended for Companies

It is suitable for companies that want to comprehensively check citation status in AI searches from a domestic perspective.

GEO Watcher

GEO Watcher is a measurement and support service that can be requested on a per-use basis for brand exposure in AI searches. It is characterized by reducing the burden of fixed costs and measuring and verifying only necessary parts.

Fees

Company Information

Recommended for Companies

It is suitable for companies that want to measure the current situation just once before a monthly contract.

Ascent GEO

Ascent GEO is a demand-driven support service designed by back-calculating from actual user question data. The published article shows a positioning map classifying Japan's major GEO countermeasure companies into four types.

Fees

Company Information

Recommended for Companies

It is suitable for companies that want to build strategies based on customer question trends rather than site diagnosis.

Practical Process from LLMO Tool Introduction to Effect Measurement

LLMO measures are advanced in three stages: "current situation survey, technical foundation and content optimization, effect measurement," and it is basic to review the numbers once a month. The specific approach is also referenced in Five Steps to LLMO Practice.

How to Investigate the Current AI Citation Status?

In the current situation survey, 10-20 assumed questions are submitted to four AI searches, and the presence and rank of your company name are recorded. If manual work is burdensome, obtaining an initial score with a free diagnostic tool is efficient.

• Assumed questions should be created in four categories: "comparison," "recommendation," "cost," "selection method."

• Check the same questions in ChatGPT, Gemini, Perplexity, and Google AI Overviews

• Line up about three competitors in the same table and understand the difference in display ratio

As an example, Queue Inc. has published a free AI SEO diagnosis and LLMO diagnosis that scores on a 100-point scale across five evaluation axes. The comparison with other companies' diagnostic tools is explained in How to Choose Free AI Diagnostic Tools.

How to Proceed with Technical Foundation and Content Optimization Using Tools?

Optimization is efficient when the technical foundation is first established, followed by moving on to Answer-first structures and the addition of primary information. If technical errors remain, content improvements will not be read by AI.

• Stage 1: Check that AI crawlers are not mistakenly blocked in robots.txt

• Stage 2: List about 10-30 important pages and one-line descriptions in llms.txt

• Stage 3: Implement JSON-LD for FAQ, Organization, Product

• Stage 4: Place a conclusion sentence of 60-140 characters directly under each heading

• Stage 5: Add primary information such as unique company figures and examples

How Long Should You Expect Before Seeing Results?

The outlook for results is that initial citation changes occur in 4-6 weeks, and a clear difference appears in 3-6 months (source: Ascent GEO). It is a prerequisite to continue tracking with the same indicators for at least three months.

Setting KPIs for each stage makes it easier to run the improvement cycle.

Details of measures for each period are also organized in Period and Measures Until Results Are Achieved.

Cost Range of LLMO Tools and Support Services

The cost range for LLMO measures is generally estimated at 100,000 to 500,000 yen for current situation diagnosis and 100,000 to 500,000 yen per month for monthly operations (source: 0120.co.jp). A full-package annual contract is also indicated to range from 5 million to 20 million yen (source: Ascent GEO).

How Do Costs Change with Tool Introduction and Outsourcing?

While outsourcing incurs ongoing monthly costs, internalization with tool use can start with just the initial diagnostic cost. The following is a six-month estimate based on the above public cost ranges.

• Full Outsourcing: Monthly operation 100,000 to 500,000 yen × 6 months = 600,000 to 3 million yen

• Diagnosis Only Outsourcing + Internalization: Current situation diagnosis 100,000 to 500,000 yen + internal labor

• Free Diagnosis + Internalization: External cost 0 yen + internal labor

As a public example, 0120.co.jp lists AIO diagnosis at 100,000 yen (lump sum), standard at 250,000 yen/month, premium at 500,000 yen/month, initial cost from 150,000 yen, with a minimum contract period of six months.

What Is Included in the Cost Breakdown?

When comparing estimates, check whether the monthly fee includes "technical implementation," "content creation," and "measurement reports." Even with the same monthly fee of 250,000 yen, the actual cost varies greatly depending on the number of pieces created and the frequency of reports.

• Does the initial cost include diagnostic reports and improvement proposals?

• Does it cover implementation work for structured data and llms.txt?

• How many pieces of content creation are included per month?

• How many AI search media are measured?

Common Failure Patterns and Precautions in LLMO Measures

Many failures in LLMO measures stem from judging results solely by traditional SEO indicators and from omissions in technical settings. Ahrefs' research reports that the average CTR of top pages decreased by 34.5% for keywords where AI Overviews are displayed (source: Mieruka).

What Causes Failure When Simply Applying Traditional SEO Methods?

The cause of failure lies in treating "being cited in AI responses" and rising search rankings as the same thing. Even if the rank is first, if not recommended in AI responses, traffic and branded searches will not increase.

• Incorrect Response 1: Increase the number of articles in response to CTR decline

• Incorrect Response 2: Increase keyword occurrence rate, burying conclusions in the latter half

• Incorrect Response 3: Only look at session numbers, not measuring branded searches via AI

Conductor's report states that session numbers decreased by up to 60% on some information pages after the full introduction of AI Overviews (source: Mieruka). Session numbers alone cannot accurately evaluate results.

On the other hand, analysis shows that traffic via generative AI has a CVR about 23 times higher than traditional SEO (source: Ascent GEO). It is necessary to evaluate by quality rather than quantity of traffic.

To avoid exaggerated proposals, confirm the following three points in advance regarding contracts.

• Is there an unfounded guarantee of results, such as "Guaranteed No. 1 display in AI"?

• If the minimum contract period exceeds six months, what are the conditions for early termination?

• Are reports submitted at least once a month with the same indicators?

How to Prevent Setting Omissions in Structured Data and llms.txt?

Setting omissions can be prevented by using the same checklist for pre-publication and monthly regular inspections. AI crawler crawl errors are often left unnoticed for several months.

• Is GPTBot, ClaudeBot, PerplexityBot unintentionally Disallowed in robots.txt?

• Does /llms.txt return a 200 status?

• Are there any syntax errors in JSON-LD (check with Google's Rich Results Test)?

• Does the question text in FAQ structured data match the displayed text on the page?

• Is the important page structured to only display the main text after JavaScript execution?

• After site renewal, have you rechecked crawler access in the logs within 30 days?

If the meaning of terms is unclear, check LLMO Essential Glossary.

Frequently Asked Questions About LLMO Tools and Measures

Regarding LLMO tools, there are particularly many questions about the differences from SEO, workload, internal production vs. outsourcing, ROI, and duration. Below, each question is answered in 1-3 sentences.

Q. What Are the Differences Between LLMO Measures, SEO Measures, and AIO Measures?

• While SEO is a measure to improve Google's search rankings, LLMO is a measure to be cited and recommended in responses from generative AI such as ChatGPT and Google AI Overviews.

• It is generally understood that LLMO, AIO, GEO, and AEO are just different names, and the practical measures and cost ranges are common (source: 0120.co.jp).

Q. Are There Any Free LLMO Diagnostic Tools?

• Queue Inc. offers a free AI SEO diagnosis and LLMO diagnosis that shows the current state of LLMO measures with a comprehensive score on a 100-point scale and five evaluation axes.

• Improvement examples include the implementation of JSON-LD structured data, suitable for companies that first want to understand their weaknesses.

Q. How Much Workload Is Required to Introduce LLMO Tools?

• Obtaining an initial score with a diagnostic tool takes a short time, but the implementation of llms.txt and structured data requires the work of a development person.

• When manually checking 10-20 assumed questions across four media, it is realistic to plan it as a regular monthly task, including recording work.

Q. Should We Produce In-House or Outsource to a Specialized Company?

• Queue Inc. supports LLMO measures in the four steps of "diagnosis, design, improvement, monitoring," handling technical aspects such as robots.txt and llms.txt settings, and FAQ schema and JSON-LD implementation, making it suitable for companies with limited in-house development resources before internalization.

• In handover, it is common to receive diagnostic results and improvement actions with HTML code examples in a form that can be reproduced in-house, and then transition to in-house operation from the monitoring stage. Differences from other companies can be checked in Differences with LLMO Measure Companies.

Q. How Should ROI Be Measured?

• ROI is measured by comparing the three indicators of display ratio, citation count, and average rank in AI responses, and changes in branded search numbers and inquiry numbers over the same period.

• 0120.co.jp has published that AI search traffic on its site (over 500 pages) is 59-68 users per week (about 3% of total search traffic), demonstrating the importance of evaluating by conversion rate rather than traffic volume (source: 0120.co.jp).

Q. What Process and Duration Are Required Before Seeing Results?

• Generally, initial citation changes occur in 4-6 weeks, and a clear difference appears in 3-6 months (source: Ascent GEO).

• The process proceeds in the order of current situation survey, technical foundation setup, content improvement, and gaining mentions externally.

Q. How Widespread Is the Use of AI Search?

• Gartner predicts that search engine usage will decrease by 25% by 2026 (source: LinkShare).

• The same article also introduces that OpenAI announced that ChatGPT's weekly active users have surpassed 900 million.

Conclusion: To Identify the Best LLMO Tool for Your Company

When selecting LLMO tools, it is important to confirm the scope of response based on the three criteria of llms.txt, structured data, and citations, and choose one that fits your company's challenges and budget. The cost range is generally estimated at 100,000 to 500,000 yen for current situation diagnosis and 100,000 to 500,000 yen per month for monthly operations.

First, grasp the current situation with free diagnostics or manual checks, and start by resolving technical errors to avoid failure. Following that, continuously track display ratio, citation count, and average rank for 3-6 months, which will be the next step to maintain brand credibility in the AI search era.

The consultation flow is smooth by confirming the score with a free diagnosis, organizing issues based on the results, and then making inquiries. Related explanations are compiled in List of Articles on LLMO Measures.

Queue Inc.'s umoren.ai supports creating a state where AI recommends you in LLMO measures, based on a free LLMO diagnosis with a 100-point scale and five evaluation axes, and published achievements of "average +460%" with Gemini, Google AI Mode, and Google AI Overviews as measurement targets. Companies where only competitors are recommended in AI searches should start by confirming their current score with a free diagnosis.