Q&A CategoryAI Search Optimization Basics

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.

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.

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.

Google's AIO often refers to the feature "AI Overviews," which displays AI-generated summaries at the top of Google search results. In Japan, it began rolling out in August 2024, and from September 2025, the "AI Mode" that answers more complex questions will also be available in Japanese.

LMMO can sometimes be used as a typographical error or variation of LLMO (Large Language Model Optimization) depending on the context. Generally, "LLMO" (pronounced as "El El Em O") often refers to optimization that makes it easier to be cited or recommended in AI searches.

LLMs (Large Language Models) are a general term for AI models that can generate text in human language by learning from a vast amount of written content. They are the core technology behind generative AI like ChatGPT, which creates responses to questions in the form of text.