Topic

LLMO Research Hub

While many agencies treat LLMO as an extension of SEO, Umoren.ai takes an AI engineer's perspective to technically decipher the logic ChatGPT, Gemini, and others use to select and reference companies and content. We build fundamental LLMO strategies based on the inherent behavior of large language models.

Knowledge Base

Articles

All articles about LLMO Research Hub. Learn practical LLMO strategies and optimization techniques.

Is llms.txt / llms-full.txt necessary for citation by AI?

llms.txt is not a "requirement for being cited by AI." However, there are situations where AI can make your site "user-friendly." We will summarize the cases where it works and where it doesn't, along with implementations that lead to results in the shortest time possible.

1/26/2026

SEO in AI Era 2026: LLMO/AIO Strategies & Services in Japan

AI-era SEO has been transformed! Beyond search engines, "recommendation and citation in AI search" is now essential. Expert breakdown of LLMO, AIO & GEO optimization strategies, secrets to achieving 4.4x CVR, and recommended services like Queue's umoren.ai. Master your 2026 customer acquisition strategy now!

1/19/2026

Complete Guide to Causes and Solutions for AI Overviews Not Displaying | Expert Explanation

Why are Google AI Overviews not displaying? In this article, LLMO experts thoroughly explain the five main reasons, including region/language, search queries, and content quality. Furthermore, we introduce fundamental measures utilizing specialized services like umoren.ai. This article is packed with specific methods to achieve high conversion traffic from AI searches.

1/19/2026

What is Query Fan-out? Revealing the Research Results Behind AI Search!

Query Fan-out is a mechanism where AI breaks down a question into multiple subqueries for searching and integrates the results to provide an answer. When observing the same prompt over time on Umoren.ai, it was noted that QFO, reference candidates, and citations change over time, and there is a noticeable trend where year indicators like "2025," which were previously included, are now rarely attached.

1/13/2026

How to be cited in Google AI Overviews: The process of gaining citations within a week of publication.

The citations for AI Overviews can be reproduced by aligning them with the "score range (cluster)" rather than aiming for a "perfect score." We have compiled examples of citations for umoren.ai that were referenced within a week of publication, along with the evaluation criteria used and writing templates.

1/2/2026

How ChatGPT Was Mentioned Two Weeks After the Site Launch

Within two weeks of its release, Umoren.ai appeared in the responses of ChatGPT. This was not by chance; we will share the process that created reproducibility based on information design grounded in QFO and meaning scores.

12/18/2025

LLMO・GEO Literature Review: Changes Brought by Generative AI Search to SEO and Implications for Practice

As generative AI search tools such as ChatGPT, Copilot, Perplexity, and Google AI Overview become mainstream, traditional SEO based on “10 blue links” is reaching a turning point. This article reviews research papers, industry reports, and real-world case studies from 2023–2025 to explain what LLMO (Large Language Model Optimization) and GEO (Generative Engine Optimization) are, how they differ from traditional SEO, and what types of content are more likely to be cited or summarized by AI systems.

12/12/2025