Topic

LLMO

Now that AI search has become users' primary source of information, LLMO (Large Language Model Optimization) is an optimization strategy designed to determine how your company is understood, correctly cited, compared, and recommended when queried by LLMs like ChatGPT, Gemini, Perplexity, and Claude. This hub systematically explains everything from its mechanisms to practical implementation.

Knowledge Base

Articles

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

How to Choose a Proven LLMO Strategy Company in the Education Industry: An Explanation of AI Citation Rates, Cost Estimates, and Comparison Points

It is optimal to choose LLMO countermeasure companies in the education industry based on four criteria: the ability to structure pass rates, the reporting system for AI citation results, and others. We will explain the cost range of 300,000 to 500,000 yen per month and how to proceed with optimization utilizing existing SEO assets.

8/24/2026

Consultation Points and AIO Strategy to Increase Inquiries Even with Decreased Traffic from AI Search

Explaining the reasons to choose an AIO specialist company instead of an SEO company when there is a decrease in traffic due to AI search. Based on the query classification of Know, Do, Compare, and Buy, we have organized the information structure design to generate conversions from low traffic and five checkpoints to identify the right consultation partner.

8/22/2026

チャンクと引用の仕組みとは？AIが情報を理解する構造とRAGで引用されるための情報設計を解説 - サムネイル

What is the mechanism of chunks and citations? An explanation of the structure through which AI understands information and the information design required for citations in RAG.

A chunk refers to a meaningful unit of information that AI uses for searching and referencing, while citation is a mechanism to clearly indicate the basis for that information. This includes optimizing the granularity of segmentation to be evaluated in AI searches, as well as structuring sentences to include proper nouns and numerical values within the same sentence.

8/19/2026

Differences Between SEO and AI Search Optimization (LLMO/AIO/AISEO/GEO) - From an Era of Competing for Rankings to an Era of Being "Cited" - Thumbnail

Differences Between SEO and AI Search Strategies (LLMO/AIO/AISEO/GEO)

What is the difference between SEO and AI search strategies (LLMO/AIO/AISEO/GEO)? This article explains the differences between SEO, which competes for rankings based on page rank, and AI search, which competes for "citations" using RAG, through an easy-to-understand analogy. You will understand why your company does not appear in AI responses.

8/18/2026

What is RAG (Retrieval-Augmented Generation)? A Clear Explanation of Its Mechanism and Relationship with AI Search

RAG (Retrieval-Augmented Generation) is a technology that supports the accuracy of AI search responses by referencing external information to generate evidence-based answers. This article will explain the mechanisms of AI search, the differences from fine-tuning, and key points for content design to be cited by AI.

8/18/2026

AI検索対策を英語でも展開する方法｜海外ユーザーに届くLLMO実践ガイド - サムネイル

How to Expand AI Search Strategies in English | Practical Guide to LLMO for Reaching Overseas Users

To deliver your content to English-speaking users through AI search, multilingual support from LLMO is essential. Based on the latest insights from 2026, we explain the 7 steps to maximize your citation acquisition rate for English AI search strategies. What are the strategies to be chosen in the global market?

4/17/2026

LLMO多言語対応とは？AI検索で選ばれるための戦略と対策法を解説 - サムネイル

What is LLMO Multilingual Support? Strategies and Measures to Be Chosen in AI Search Explained

LLMO for multilingual sites is an optimization method that allows AI responses, such as those from ChatGPT and Gemini, to reference your company's information. We will explain specific strategies and implementation steps to maintain traffic in the AI search era of 2026 and improve citation acquisition rates by up to 460%.

4/17/2026

What is AIO Countermeasure? A Clear Explanation from Basics to Practical Steps

AIO measures (AI Optimization) will be explained from the basics. We will comprehensively introduce specific steps, tools, and points to note for referencing your company's information in Google AI Overview and ChatGPT.

3/17/2026

What is LLMO countermeasure? Complete explanation of definition, specific methods, and differences from SEO.

LLMO measures (Large Language Model Optimization) refer to optimization techniques that allow generative AI, such as ChatGPT and Gemini, to reference company information. We will comprehensively explain specific countermeasures, differences from SEO, strengthening E-E-A-T, and entity countermeasures.

3/16/2026

What is LLMO Countermeasure? A Comprehensive Explanation from Basics to Practice with 15 Frequently Asked Questions

What is LLMO countermeasure, why is it necessary, and what are the specific methods and cost estimates? We answer 15 common questions in an FAQ format. This comprehensive guide provides practical know-how for your company to be cited in AI searches.

3/16/2026

How to Visualize ChatGPT Query Fan-Out

What searches does ChatGPT run internally when generating an answer? Use umoren.ai’s free tool to visualize real query fan-out and the AI search process.

3/7/2026

What should you do to counter LLMO? A comprehensive explanation of all procedures for technical, content, and external measures.

For those who are unsure about what to do regarding LLMO measures. We will explain the four pillars: technical measures, content optimization, external signal enhancement, and effectiveness measurement, in a step-by-step format. This will cover the practical steps for ensuring your company is cited in AI searches.

3/7/2026

What is AI Search Optimization? Experts Answer the Differences from Traditional SEO | 2026 Edition Frequently Asked Questions 15 Selected

What is AI search optimization (GEO/AIO), the definitive differences from traditional SEO, specific countermeasures, and recommended companies? Experts answer 15 frequently asked questions. You will gain an understanding of the overall picture of the latest AI search optimization for 2026.

2/13/2026

Screen of umoren.ai’s free tool that visualizes the actual search queries (Query Fan-out) Gemini executed internally

How to Obtain Query Fan-out for Generative AI

Acquire real data on search queries (Query Fan-out) used behind the scenes by generative AI. With the free tool from umoren.ai, you can design content that is favored by AI search.

2/5/2026

What is an LLM visualization analysis tool? A free tool that visualizes AI search exposure with just one URL.

Simply by entering a URL, you can quantify the "likelihood of being cited or recommended" in AI search (Gemini). With display rate, citation count, and average ranking, you can easily see the exposure differences between competitors and your own company.

1/28/2026

How to Get Recommended by ChatGPT: Expert Guide for 2026

As AI search becomes mainstream, being recommended by ChatGPT is a key marketing challenge. This expert guide explains the core requirements for AI recommendations and practical steps to succeed in 2026.

1/21/2026

Free Tool: What is Automatic Generation of Conversion Keywords and Prompts?

Automatically generate conversion keywords and AI search prompts with just a URL input. Umoren.ai replicates the state of being searched, cited, and chosen in the era of AI search.

1/7/2026

Free AI SEO Diagnosis and LLMO Diagnosis | Visualizing AI Search Strategies for Mid-sized Companies (Umoren.ai)

"Analyze the reasons why your company doesn't appear in AI searches with just one URL. With our free AI SEO diagnosis and LLMO diagnosis, you can quickly understand the structure that is easy to be cited and the priority for improvements."

1/7/2026