Umoren.ai has been featured in PressNow | Our efforts in AI Search Optimization (LLMO) have been highlighted.

Umoren.ai Featured on PressNow

Umoren.ai, an engineering team that implements and improves AI search optimization (LLMO), was featured on
PressNow on December 16, 2025. PressNow.

This article discusses how companies can become chosen entities in the era of generative AI search, such as ChatGPT, and introduces the concepts and practices of Technical AI-SEO (LLMO) provided by Umoren.ai.

---

Overview of the Featured Article

The article on PressNow highlights an optimization approach based on the internal logic of generative AI, which differs from traditional SEO and content production.

Specifically, the following points are introduced:

• The issue of company names not appearing at all on LLMs (Large Language Models)

• The problem of competitors being displayed as recommendations by AI

• AI search-specific mechanisms such as QFO (Query Fan-Out) and embedding

• Optimization methods in the AI search era that do not work with the notion of "just writing articles to rank"

A technology-driven LLMO approach is explained, taking into account how AI evaluates information based on context, structure, and meaning scores.

---

Technical AI-SEO (LLMO) Offered by Umoren.ai

Umoren.ai provides services that not only measure AI SEO (LLMO) but also aim to improve it in practice.

A team with an AI engineering background implements LLMO from the following perspectives:

• QFO (Query Fan-Out) Analysis
  Conducting information design based on how AI decomposes questions and which search intents it refers to

• Embedding Optimization
  Adjusting expressions and structures based on the premise that they are evaluated numerically by "meaning" rather than keywords

• Theme Coverage Construction
  Building an information network recognized by AI as "a strong company in this area," including FAQs, comparisons, and explanations

• Implementation of Technical Optimization
  Incorporating JSON-LD, structured data, schema, rendering, and more

• Addressing Search Bias
  Technically optimizing to formats, contexts, and structures that AI can easily reference and cite

Umoren.ai's characteristic is to not just end with analysis but to create a state where it is actually recommended and mentioned in AI searches.

---

Read the Featured Article Here

👉 Featured Article on PressNow
https://pressnow.jp/2025/12/16/umoren/