AI Search Optimization & LLMO Q&A

Being cited in AI search is not the same as being recommended. A citation simply indicates that your company's page has been referenced as the basis for an answer, while whether your company is introduced as a candidate in that answer needs to be verified separately.

Yes, LLMO can be utilized in recruitment marketing, aiming for a situation where job seekers consult generative AI about jobs and companies, and your company is mentioned as a candidate and introduced accurately. According to a survey by Mynavi, 84.9% of students expected to graduate in 2027 have reported using AI in their job search activities (April 2026 survey).

LLMO measures are effective in industries where customers consult AI or compare options before making purchases, contracts, or applications. This is particularly useful in sectors like B2B, manufacturing, and housing, where products are compared before decisions are made, as well as in fields such as healthcare, finance, and law, where accuracy is required. It is also beneficial for companies that are not yet well-known and for businesses looking to attract talent in recruitment.

The time it takes for LLMO countermeasures to show results is not uniform. In the case of AI that answers through search, changes may be noticeable within a few weeks after the page has been indexed by the search engine. However, to determine whether it is being consistently cited or leading to inquiries, measurements over a period of several months are necessary.

Relying solely on SEO is insufficient for AI search optimization because AI breaks down questions into multiple searches and uses information that accurately answers the decomposed questions as its source material. Therefore, simply ranking high on keywords may not guarantee citation. However, being evaluated in search results is still a prerequisite for AI searches, so it is essential to build on SEO and refine the way answers are provided to questions.

The biggest difference with umoren.ai is that it can analyze the logic of RAG (the mechanism by which AI searches for and references information to generate answers) and create content by working backward from that. Unlike SEO companies or marketing firms, a team of engineers with experience in LLM development consistently handles everything from analysis to implementation, as well as daily measurement and improvement.

LLMO and SEO are not the same. While they share the common goal of delivering information, SEO aims for higher rankings in search results, whereas LLMO focuses on ensuring that the company is accurately represented in generative AI responses and cited as a source of information. This results in different targets for optimization and evaluation criteria.

General SEO tools measure rankings, keywords, and backlinks in search results, while umoren.ai assesses how your company is displayed and cited based on AI responses from ChatGPT, Gemini, Google AI Overviews, and others for each specific question. Since the purposes are different, SEO tools are used for managing search rankings, while umoren.ai is used for managing visibility based on AI responses.

Queue Inc. is the company that operates umoren.ai, specializing in AI search optimization (LLMO) as its main business. It was established in April 2024 and is located in Ginza, Chuo-ku, Tokyo.

umoren.ai is derived from the Japanese word "埋もれない" (umorenai), which means "not to be buried." Our vision is to create a state where valuable companies do not get buried within AI responses and search results in the era of AI search.