Topic

LLMO

AI search is where a lot of people look first. LLMO (Large Language Model Optimization) is how you shape the way ChatGPT, Gemini, Perplexity, and Claude understand your company, so you get cited, compared, and recommended on the questions that matter. This hub covers how that works and how to put it into practice.

Knowledge BaseArticles

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

What is AIO countermeasure? Explaining the differences from SEO and four practical steps.

AIO measures refer to optimization techniques aimed at ensuring that your company's information is accurately cited and introduced through AI searches and AI Overviews. We will clearly explain the differences from SEO, the mechanisms of AI responses, and provide a straightforward guide to practical steps starting from one question and one page.

10/5/2026

AI検索においてGoogle search consoleでどこまで確認できるか？を表した画像

What Search Console can (and can’t) show about Google AI search

How far can Search Console go on Google AI search impressions and clicks? Drawing on real data, here’s what the generative AI performance report covers, what it can’t separate from classic search, and how to read the gaps.

9/25/2026

Internal ownership across marketing, PR, development, and sales for LLMO and AIO, with an umoren.ai example.

Who owns LLMO and AIO: marketing, PR, development, and sales

How to split LLMO and AIO ownership across marketing, PR, development, and sales—plus RACI, small-team dual roles, and what to keep in-house vs. outsource.

9/23/2026

Four criteria for choosing an AI search partner that can correct misinformation in AI answers

When AI Gets Your Company Wrong: How to Choose a Fix Partner

Wrong company facts in AI answers can be improved with LLMO and GEO specialists. Walk through five practical fix steps—from source ID to implementation—four selection criteria for a partner, and typical timelines plus caveats when corrections start showing up.

9/18/2026

2026 LLMO/AIO guide cover on internal approval and stakeholder alignment—criteria for selecting and comparing support partners

How to Choose an AIO Partner That Helps Win Internal Approval (2026)

Judge AIO partners that support internal approval by whether they can deliver three pre-contract items: a current-state diagnosis, an ROI estimate, and decision-maker materials. Four selection criteria that calm executive concerns, a ~30-day approval flow, and notes on departmental alignment.

9/17/2026

What Is LLMO? 5 Criteria to Decide If Your Company Needs It

LLMO means getting generative AI to cite, mention, or recommend you accurately. See how it differs from SEO, three program goals, and five criteria to decide whether to prioritize it.

9/15/2026

How to Get Cited by ChatGPT: LLMO Practice Points That Work

ChatGPT citations take four things at once: conclusion-first writing, structured data, primary-source E-E-A-T, and AI crawler access. Here is how to ship each one.

9/8/2026

How to choose an LLMO agency with education experience: AI citations, pricing, and comparison points

Choose an education LLMO agency on four criteria—including structuring pass-rate data and reporting AI citations in numbers. Typical pricing is about 300,000–500,000 yen per month, and you can build on existing SEO assets.

8/24/2026

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

How Chunks and Citations Work: Designing Content AI Can Cite

A chunk is a meaningful unit of text that AI retrieves and references; a citation shows which chunk grounded the answer. Learn how to size your splits and keep proper nouns and numbers in the same sentence so AI search can pick you up.

8/19/2026

SEO vs. AI Search Optimization (LLMO / AIO / AISEO / GEO)

What's the difference between SEO and AI search optimization (LLMO / AIO / AISEO / GEO)? SEO competes on PageRank-style rankings; AI search competes on RAG citations. A simple analogy shows why your company can rank on Google and still never show up in AI answers.

8/18/2026

What Is RAG? How Retrieval-Augmented Generation Powers AI Search

RAG (Retrieval-Augmented Generation) helps AI search cite external sources before answering. Here's how it works, how it differs from fine-tuning, and how to structure content so AI can quote you.

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

Running AI Search Optimization in English | LLMO Guide for Global Reach

To reach English-speaking users in AI search, multilingual LLMO is essential. Based on 2026 findings, these seven steps help maximize citation rates for English AI search—and win preference in global markets.

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 Multilingual LLMO? Strategies to Win Citations in AI Search

Multilingual-site LLMO gets ChatGPT, Gemini, and similar AI answers to cite your company by language. Hold traffic in the 2026 AI-search era and improve citation rates by an average of +460% (5.6×) with concrete strategy and implementation.

4/17/2026

How to Visualize ChatGPT Query Fan-Out

What searches does ChatGPT run behind the scenes when it answers? Use umoren.ai's free tool to see real query fan-out and how the AI gathers information.

3/7/2026

AI Search Optimization vs SEO: 15 Expert FAQs for 2026

What AI search optimization (GEO/AIO) is, how it differs from SEO, what to do, and which partners to consider—experts answer 15 FAQs for a clear 2026 overview.

2/13/2026

umoren.ai free tool screen showing Query Fan-out search queries Gemini ran internally

How to Capture Generative AI Query Fan-out

See the real search queries (Query Fan-out) generative AI runs behind the scenes. umoren.ai’s free tool helps you design content AI search is more likely to select.

2/5/2026

What Is the LLM Visibility Analysis Tool? Measure AI Search Exposure From One URL

Paste a URL to score how often AI search (Gemini) cites or recommends you—display rate, citation count, and average rank make your gap versus competitors obvious at a glance.

1/28/2026

How to Get Recommended by ChatGPT in 2026: Expert Guide

As AI search goes mainstream, earning ChatGPT recommendations has become a core marketing challenge. This expert guide covers the three requirements AI looks for and a practical five-step playbook for 2026.

1/21/2026