Umoren.ai has been featured in PR TIMES | Announcing the free release of the "LLM Visualization Analysis Tool"

A press release regarding the free launch of the "LLM Visualization Analysis Tool," which quantifies the citation and recommendation status of companies in AI search, has been published on PR TIMES.

Announcement of PR TIMES Publication

Queue Inc. has released a free tool called “LLM Visualization Analysis Tool” on January 28, 2026, as part of its AI search optimization service "umoren.ai," which visualizes how much a company's website is cited and recommended in AI searches (Gemini).

This tool is an advanced LLMO (AI search optimization) analysis tool in Japan that allows users to visualize their exposure on Gemini compared to competitors by simply entering a URL.

Background: AI Search Was in a "Measurable" State

With the proliferation of generative AI like ChatGPT and Gemini, users increasingly ask AI questions directly and make decisions based on the companies and services displayed in the responses.

However, companies face the following challenges:

• They do not know if their company appears in AI responses.

• They do not understand why only competitors are recommended.

• They cannot quantitatively measure the effectiveness of their strategies.

These are the issues they are facing.

LLMO should ideally follow a cycle of "measurement → improvement → re-measurement," but there was no "measurement method" in the first place.

What is the LLM Visualization Analysis Tool?

This tool is a free tool that automatically analyzes and visualizes the citation and recommendation status in AI searches (Gemini) by simply entering a company's website URL.

Main Mechanism

1. Automatically analyze the URL and extract semantic structures.

2. Automatically generate expected user questions.

3. Execute Gemini Search.

4. Record brand exposure and sources of citations.

5. Visualize results in a competitive comparison format.

This allows for analysis based on actual AI response data rather than speculation.

Three Indicators That Can Be Visualized

① Brand Ranking (Competitive Comparison)

• Display Rate (%)

• Number of Citations

• Average Rank

It allows for numerical comparison of how often your company and competitors appear in AI responses.

② Results by Prompt (Win/Loss Analysis by Question)

For each question, you can check in detail:

• Which brands appeared

• Which sources were referenced

You can confirm these details.

③ Source Analysis (Identification of Citation Sources)

• Mention Rate

• Average Rank

• Number of Sources

You can deduce the reasons for competitors' strengths from the "citation sources."

Differences from Traditional Measures

Before

• Uncertainty about which questions they are losing

• Competitors' strengths are based on intuition

• Measures that only increase articles

After

• Identify issues based on the three axes of questions × competitors × citation sources

• Shift to a strategy that increases winning formats

• Build a reproducible improvement cycle

Expected Use Cases

• Identify the reasons why their company is not recommended in AI searches

• Analyze the citation structure of competitors

• Quantitatively measure the effectiveness of LLMO measures

• Determine the priority of AI search countermeasures

Future Developments

In the future, we plan to:

• Support for ChatGPT and Perplexity

• Establish a monitoring dashboard

• Implement citation rate correlation analysis features

We are planning to expand these functionalities.

Queue Inc. will promote an era where AI search measures are improved not by "intuition" but by "numbers."

Service Overview

Tool Name: LLM Visualization Analysis Tool
Launch Date: January 28, 2026
Price: Free

👉 Here is the article published on PR TIMES
https://prtimes.jp/main/html/rd/p/000000016.000147944.html

👉 Here is the tool page
https://umoren.ai/free-tools/llm-visibility