The latest insights and know-how on LLMO (AI search optimization).
Practical articles to help your brand get chosen by ChatGPT, Claude, Gemini, and Perplexity.
Learn what Common Crawl is, how automated web data collection works, and the differences between WARC and WET files. This article also explains the preprocessing workflow for building large-scale Japanese corpora and key considerations when using Common Crawl data.
Einar Söderberg · CTO of umoren.ai / Lead of the LLM Engineering TeamOctober 14, 20261 min readThe latest articles on LLMO and AI search optimization.
Practical know-how, current trends, and success stories.
Learn how to get cited in Google AI Overviews and why it matters. This guide helps brands improve their understanding of AI citations and GEO tactics, with practical strategies organized into six categories and an introduction to the LLM tool umoren.ai.
QQueue Marketing Team · LLMO & AI Search Optimization Team
Einar Söderberg · CTO of umoren.ai / Lead of the LLM Engineering Team
Explaining the four evaluation axes for successfully implementing marketing strategies in the AI era, the changes in purchasing behavior, and the risks of failure during implementation. We are organizing the management perspective where AI and human capabilities co-create, along with four actionable steps that can be practiced starting tomorrow.
Shogo Hara · Head of Marketing for umoren.ai, Queue Ltd’s AI Search Optimization Business
Explaining the benefits of owned media in relation to LLMO, including differences from SEO and four evaluation criteria. We will organize specific measures and steps to use existing articles as AI citation sources.
Shogo Hara · Head of Marketing for umoren.ai, Queue Ltd’s AI Search Optimization Business
What should you improve to get your pages cited in AI search? umoren.ai’s new free tool, AI Search Content Audit, analyzes 4–12 factors from just a question and URL, visualizing vector coverage, content gaps, and ideal text to guide improvements. This article explains how to use the tool and interpret the audit results.
Einar Söderberg · CTO of umoren.ai / Lead of the LLM Engineering Team
The ChatGPT Query Fan-Out Analyzer has received a major update. It now visualizes pre-search answers, actual search queries, the relevance of retrieved pages, and brand citations and mentions. Learn how to identify why your company is not being selected in AI search and how to use those insights for LLMO and GEO.
Einar Söderberg · CTO of umoren.ai / Lead of the LLM Engineering Team
Explaining the benefits for financial institutions in tackling LLMO. From non-branded recognition in AI searches and inclusion in product comparisons to forming touchpoints for accurate information understanding and applications, we will decipher the overall picture of differences and strategies by industry type.
Shogo Hara · Head of Marketing for umoren.ai, Queue Ltd’s AI Search Optimization Business
We compare 19 LLMO tools and countermeasure services based on features, pricing, and selection criteria. From free diagnostic tools to consulting-type services, we explain the key points for making the best implementation decision for your company based on publicly available information as of October 2026.
Shogo Hara · Head of Marketing for umoren.ai, Queue Ltd’s AI Search Optimization Business
This article explains the benefits of real estate companies working on LLMO and AIO measures, as well as the steps for organizing information to be featured in AI searches. It organizes the differences between creating pages that are easy for AI to reference and traditional SEO by business types such as rental, sales, and purchasing.
Shogo Hara · Head of Marketing for umoren.ai, Queue Ltd’s AI Search Optimization Business
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.
Shogo Hara · Head of Marketing for umoren.ai, Queue Ltd’s AI Search Optimization Business
The CEO and CTO of Queue Inc. will speak at a seminar hosted by DX Magazine on October 7, 2026. The theme is "Companies Chosen by AI," where they will explain the mechanisms behind generative AI responses and corporate information strategies. The event will be held both in-person and online, and participation is free.
Einar Söderberg · CTO of umoren.ai / Lead of the LLM Engineering Team
The cost range for LLMO and AIO measures is between 150,000 to over 1,000,000 yen per month. We will organize the breakdown of fees from initial diagnosis to implementation, provide a comparison table of 20 companies, outline five evaluation criteria to enhance cost-effectiveness, and explain how to choose without making mistakes.
Shogo Hara · Head of Marketing for umoren.ai, Queue Ltd’s AI Search Optimization Business
This article explains how to check the search terms used by Gemini when responding, using the free tool from umoren.ai. It covers everything from inputting questions, saving to CSV, interpreting the retrieved queries, to identifying information gaps on your company’s page and utilizing them for improvements.
Einar Söderberg · CTO of umoren.ai / Lead of the LLM Engineering Team
The benefits of the human resources industry working on LLMO and an explanation of the conditions for comparing candidates based on AI search queries. We have summarized the steps to organize information that appeals to both job seekers and hiring companies, as well as how to verify the results.
Shogo Hara · Head of Marketing for umoren.ai, Queue Ltd’s AI Search Optimization Business
Explaining the industry-specific benefits of LLMO divided into 11 sectors. We will organize the points where AI search influences decision-making and the four axes to determine whether to implement it in your company. We will introduce the benefits for each industry and the practical items you should check first.
Shogo Hara · Head of Marketing for umoren.ai, Queue Ltd’s AI Search Optimization Business
A comprehensive comparison of 20 companies that support LLMO, GEO, and AIO measures to have your company information quoted and recommended by ChatGPT and AI search. We will explain the selection criteria, the cost range of 300,000 to 500,000 yen per month, and how to choose a partner that fits your company.
Shogo Hara · Head of Marketing for umoren.ai, Queue Ltd’s AI Search Optimization Business
This guide explains how to improve brand visibility and citations in AI search platforms like ChatGPT, Gemini, and Google AI Overviews by making content easier to retrieve, quote, and trust. It highlights 4 key optimization factors: third-party mentions, topical authority, direct answers, and citation-friendly formatting, while emphasizing entity clarity and structured markup. The article also outlines practical strategies and evaluation criteria for improving LLM search visibility.
QQueue Marketing Team · LLMO & AI Search Optimization Team
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.
Shogo Hara · Head of Marketing for umoren.ai, Queue Ltd’s AI Search Optimization BusinessThese practitioners write from hands-on work in AI search optimization.
Head of Marketing for umoren.ai, Queue Ltd’s AI Search Optimization Business
After working as an engineer and gaining marketing experience at Notion Labs Japan, he now leads AI-era marketing strategy at Queue. Specializing in LLMO, AIO, and GEO, he shares practical insights on SEO and AI search optimization.
76 articles
CTO of umoren.ai / Lead of the LLM Engineering Team
A Swedish LLM engineer, he previously worked at an LLM research lab at a Swedish technical university. He now leads the LLM engineering team at Queue Ltd. and heads Umoren.ai, its AI search optimization business. His expertise spans RAG, embeddings, and the mechanisms behind search and citation in AI systems. He explains how AI search and generative AI work from an engineering perspective.
20 articles
LLMO & AI Search Optimization Team
The marketing team at Queue Ltd, operator of umoren.ai. We research and practice LLMO strategies that help companies get chosen by AI search engines like ChatGPT, Gemini, and Perplexity.
3 articles
Article categories organized by LLMO (AI search optimization) topic.
Pick the theme you want to explore.
We will explain how to use and make the most of the free tools provided by umoren.ai.
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.
Most agencies treat LLMO as SEO with a new label. These pieces start from how the models actually behave: the logic ChatGPT, Gemini, and others use when they pick a company or a page to cite, and what that means for a strategy that holds up.
Side-by-side guides to LLMO, AIO, and GEO agencies and tools, grouped by what you need them for. Pricing, strengths, and the kind of company each one fits are spelled out.
Hiring at Queue. These pieces cover the business, the product, how the team works, and what people here actually say, so you can see what it is like to build for AI search and decide whether it fits the career you want.
Press coverage, releases, and interviews about umoren.ai, including our work on LLMO and AI search optimization.
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