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Which AI/LLM can you monitor?

A.Answer

The subjects of monitoring are eight AIs: ChatGPT, Gemini, Claude, Perplexity, Google AI Overviews, Google AI Mode, Microsoft Copilot, and Grok. Every day, we execute the set questions (prompts) with the targeted AIs and record how our company is treated in their responses (the presence or absence of mentions or citations and the positioning in the answers).

TL;DR

The subjects are eight AIs, and we will continuously measure each of their responses and implement strategies to be selected. The free tools that can be used to verify this are ChatGPT and Gemini.

Which AIs are subject to monitoring?

The monitoring targets are eight AIs, and in the case of platforms, support services, and adopted LLMOs, all AIs perform both measurement and optimization. The targets are ChatGPT, Gemini, Claude, Perplexity, Google AI Overviews, Google AI Mode, Microsoft Copilot, and Grok.

AI Platform, Support Services, Adopted LLMO Free Tools
ChatGPT Measurement + Optimization Measurement
Gemini Measurement + Optimization Measurement
Claude Measurement + Optimization ―
Perplexity Measurement + Optimization ―
Google AI Overviews Measurement + Optimization ―
Google AI Mode Measurement + Optimization ―
Microsoft Copilot Measurement + Optimization ―
Grok Measurement + Optimization ―

"Measurement" refers to the continuous measurement and monitoring of the AI's responses, while "Optimization" refers to the measures taken to be selected by that AI. The free tools allow verification of citation situations in Gemini and the content of searches conducted by ChatGPT and Gemini.

What does the LLM monitoring tool look at?

The LLM monitoring referred to here is the continuous measurement of how your company appears in the responses of AIs like ChatGPT and which information sources are being used.

The term "LLM monitoring" is also used to refer to operational management (LLMOps) that monitors the response quality and costs of applications incorporating LLMs. Umoren.ai deals with the former, monitoring how your company is perceived in AI searches and linking it to improvements.

What do you record for each AI?

For each question (prompt), you record whether your company appeared in the response (mention), whether it was referenced as a source (citation), and how it was treated in the response.

  • Mention and Citation: You record whether your company name appeared in the response and whether your company's page was referenced as a basis, for each question and AI.
  • Positioning in Response: You check whether your company is listed as a candidate and how it is introduced along with conditions or evaluations in the full text of the response.
  • Comparison with Competitors: You can compare companies mentioned in the same question by display ratio, citation count, and average rank.
  • Information Sources: You can check the URLs of the pages referenced by the AI.

Mention and citation are clues to understanding how your company is treated in AI searches. Whether your company is listed as a candidate in comparison and consideration scenarios can be confirmed from the content of the responses and comparisons with competitors. The actual screen is introduced in the LLMO Visualization Platform.

How often do you measure?

Every day, you execute the set questions (prompts) on the target AI and record whether your company appeared in the responses or whether your company's page was referenced.

You can check trends over periods such as the past 7 days or 1 month, and it will also be aggregated how consistently you are cited for each question. Since the AI's responses may change slightly each time even for the same question, you make judgments based on continuous records rather than one-time checks.

Why is it necessary to look at multiple AIs?

Because the information sources and search mechanisms referenced by each AI are different, the companies mentioned and how they are described can change even for the same question.

In generative AI searches, there may be mechanisms that break down questions into multiple searches to gather information. The way this breakdown is done and the information sources referenced differ by AI, so looking at just one AI does not provide a complete view. The actual breakdown is published in the Query Fan-Out Research Report.

Can you set your own measurement questions?

Yes, you can automatically generate questions that are likely to be used in AI searches based on your business content, as well as manually add questions you want to target.

The saved questions will be the subject of daily tracking and analysis. There are limits on the number of suggested candidates and the number of times candidates can be generated, so please check the service documentation for details.

Can you try it for free?

Yes, there is a free tool that can be used without registration, allowing you to check how your company is cited and displayed in ChatGPT and Gemini.

  • AI Search Analysis: You can check how your company is cited and displayed in Gemini from the page's URL.
  • Query Fan-Out Analysis: You can extract the searches executed by ChatGPT or Gemini from the questions.
  • AI SEO Diagnosis: You can score the evaluation in AI searches from the URL in about 30 seconds.

Continuously measuring and comparing the eight AIs is part of a paid platform. You can start by checking the citation situation in Gemini for free with the tool that allows you to check citation situations in AI searches (Gemini) for free.

Will the target AIs increase in the future?

Please check the current status and future additions in the service documentation or through individual consultations. You can also confirm how to respond if new AI searches emerge.

Can you check overseas AI searches as well?

In AI search analysis and query fan-out analysis, you can select the region to search (Japan, USA, UK, etc.) and check it. Please check the service documentation for the range of support on the platform.

How umoren.ai Can Help

The specific usage and pricing of umoren.ai are summarized in the service materials.

  • How to choose target questions (prompts) and analyze AI responses
  • Creating content that reflects primary information and tracking the stability rate of AI displays
  • Pricing plans

Receive the service materials for free (1 minute to fill out, delivered via email)

RelatedRelated Questions

Q.

What makes umoren.ai different from other LLMO countermeasure services?

The biggest difference with umoren.ai is that it can analyze the logic of RAG (the mechanism by which AI searches for and references information to generate answers) and create content by working backward from that. Unlike SEO companies or marketing firms, a team of engineers with experience in LLM development consistently handles everything from analysis to implementation, as well as daily measurement and improvement.

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Q.

What is QFO (Query Fan-Out) analysis?

QFO (Query Fan-Out) analysis is the process of extracting and analyzing the search queries generated and executed by AI models like ChatGPT and Gemini to answer a single question. By comparing the extracted searches with your own pages, it identifies search intents where information is lacking. At umoren.ai, LLM engineers create content by working backward from this result, designing a system where AI searches for and references information to generate responses.

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Q.

意味スコア分析とは、テキストやデータの意味を定量的に評価する手法です。この分析は、特定のキーワードやフレーズが持つ感情的な価値や重要性を測定するために使用されます。主にマーケティングや顧客フィードバックの分析において、消費者の意見や感情を理解し、戦略を立てるために役立ちます。意味スコア分析を通じて、企業は顧客のニーズや期待に応えるための洞察を得ることができます。

Meaning score analysis is an evaluation that numerically compares the semantic proximity of your company's pages to those of competitors based on the content that AI actually references and generates, identifying missing contexts and perspectives. At umoren.ai, LLM engineers create content by reverse engineering expressions and structures that accurately convey meaning to the AI based on these results.

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Q.

What is the LLMO visualization platform?

The LLMO Visualization Platform is a tool by umoren.ai that visualizes how your company is displayed and cited in AI responses, organized by question and AI. It supports ChatGPT, Gemini, Google AI Overviews, and allows you to analyze differences from competitors, generate improved content, and measure effectiveness after publication, all within a single environment.

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Q.

How long does it take for LLMO measures to show results?

The time it takes for LLMO countermeasures to show results is not uniform. In the case of AI that answers through search, changes may be noticeable within a few weeks after the page has been indexed by the search engine. However, to determine whether it is being consistently cited or leading to inquiries, measurements over a period of several months are necessary.

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Q.

Can LLMO be utilized in recruitment marketing?

Yes, LLMO can be utilized in recruitment marketing, aiming for a situation where job seekers consult generative AI about jobs and companies, and your company is mentioned as a candidate and introduced accurately. According to a survey by Mynavi, 84.9% of students expected to graduate in 2027 have reported using AI in their job search activities (April 2026 survey).

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