Tokyo Startup Launches Platform That Reverse Engineers How AI Answers Cite Sources

TOKYO, Japan - January 18, 2026 - Queue Ltd., a Tokyo-based technology company, today announced the launch of Umoren.ai, a new AI-native platform built to help businesses appear inside AI-generated answers as cited and recommended sources.

As generative AI becomes a primary way people search, compare, and decide, traditional SEO is no longer sufficient. AI platforms do not rank pages based on links and keywords alone. Instead, they decompose questions into multiple sub-queries, retrieve information through retrieval-augmented generation systems, and evaluate sources based on semantic relevance, coverage, and credibility before producing an answer.

Most corporate content is not created with this process in mind, which is why many companies remain invisible inside AI answers.

Umoren.ai approaches this problem from a technical perspective. The platform numerically reverse-engineers how large language models retrieve and evaluate information. By analyzing how AI systems expand queries, select sources, and score semantic alignment, Umoren.ai identifies what type of content is likely to be cited during answer generation.

Based on this analysis, the platform generates and optimizes full-length content designed specifically for AI evaluation, not just for human readers or search rankings. The goal is to align content with how AI systems actually retrieve and reference sources.

Rather than focusing on traffic volume, Umoren.ai targets the decision-making phase. This is when users ask AI to compare options or recommend solutions. Industry research shows that traffic originating from AI-generated answers converts up to 4.4 times higher than traditional search traffic, because users arrive after already evaluating their choices.

The platform also distinguishes between being mentioned and being cited or recommended. A mention may appear as background information, while a citation or recommendation directly influences user decisions. Umoren.ai is designed to maximize the latter.

In early use cases, companies using the platform began appearing as cited or recommended sources inside ChatGPT within weeks, leading to direct inbound inquiries from users who discovered them through AI-generated answers.

Queue Ltd. develops AI-driven systems focused on search, retrieval, and discovery. With Umoren.ai, the company aims to provide businesses with a concrete way to adapt to a future where AI systems determine which information is surfaced, trusted, and acted upon.

QUEUE Inc.
THE HUB Ginza OCT
8-17-5 Ginza, Chuo-ku
Tokyo 104-0061
Japan

Phone: +81-3-5324-2678
Website: https://queue-tech.jp
Service website: https://umoren.ai/en

Press Contact

Einar Söderberg
QUEUE Inc.
Email: queue@queue-tech.jp

Queue Ltd. is a Tokyo-based technology company focused on building AI-native platforms for search, retrieval, and information discovery. The company develops systems that analyze how large language models evaluate, select, and cite information, and turns those insights into practical tools for businesses.

Its flagship platform, Umoren.ai, enables companies to numerically analyze and reverse-engineer how AI answer engines such as ChatGPT, Google AI Overviews, and Gemini retrieve sources. Based on this analysis, the platform generates and optimizes content designed to be cited and recommended by AI-generated answers.

Queue Ltd. works at the intersection of AI engineering, retrieval systems, and content intelligence, helping businesses adapt to a search environment increasingly shaped by generative AI.

This release was published on openPR.