What is LLMO Diagnosis (Web Content Diagnosis)?

It is a web content diagnostic service that evaluates how much a company's site or external sites are cited and recommended by AI in AI searches (such as ChatGPT, Gemini, Google AI Mode, AI Overviews), and identifies priorities for improvement.

What criteria does LLMO Diagnosis use for evaluation?

It evaluates based on three unique criteria derived from the AI response generation process: 'Comparative Design (whether the company is considered a candidate when AI breaks down questions)', 'Referability (whether it is cited as a verifiable source)', and 'Ease of Citation (whether it is written in a way that is easy to identify)'.

Why is the visualization of AI search important now?

With Google starting to provide 'AI-Generated Performance Reports' in Search Console, AI search is now recognized as a channel that should be measured independently from organic search, making data-driven PDCA cycles crucial.

What is the basis for AI-OKS Co., Ltd. providing this service?

The company has over 20 years of SEO consulting experience and has conducted actual analysis using prompts on the four major AIs, giving them firsthand knowledge of the current state and challenges of AI recommendations.

What is the technical background referenced in this diagnostic service?

It references Google's 'Thematic Search Patent (US12158907B1)' and Google DeepMind's 'AlphaEvolve (arXiv:2506.13131, 2025)'.

AI News NQ Analysis

I-O-X Launches New 'LLMO Diagnosis' Service to Visualize Company Citations and Recommendations in AI Search

NQ Score 87/100

N1 Content Completeness 9

Key facts

I-O-X Launches New 'LLMO Diagnosis' Service to Visualize Company Citations and Recommendations in AI Search
I-O-X Inc. has launched 'LLMO Diagnosis (Web Content Diagnosis),' a service that visualizes whether a company is cited or recommended in AI searches (ChatGPT, Gemini, etc.).
Source: PR TIMES
Date: Wed Jun 10 2026 12:00:02 GMT+0900 (Japan Standard Time)

Direct answer

I-O-X Inc. has launched 'LLMO Diagnosis (Web Content Diagnosis),' a service that visualizes whether a company is cited or recommended in AI searches (ChatGPT, Gemini, etc.).

Citation: I-O-X Launches New 'LLMO Diagnosis' Service to Visualize Company Citations and Recommendations in AI Search (Wed Jun 10 2026 12:00:02 GMT+0900 (Japan Standard Time)), PR TIMES
Source: PR TIMES
Date: Wed Jun 10 2026 12:00:02 GMT+0900 (Japan Standard Time)

AI Summary (NQ-processed)

I-O-X Inc. has launched 'LLMO Diagnosis (Web Content Diagnosis),' a service that visualizes whether a company is cited or recommended in AI searches (ChatGPT, Gemini, etc.).

AI Analysis

Frequently Asked Questions

Q: What is LLMO Diagnosis (Web Content Diagnosis)?: A: It is a web content diagnostic service that evaluates how much a company's site or external sites are cited and recommended by AI in AI searches (such as ChatGPT, Gemini, Google AI Mode, AI Overviews), and identifies priorities for improvement.
Q: What criteria does LLMO Diagnosis use for evaluation?: A: It evaluates based on three unique criteria derived from the AI response generation process: 'Comparative Design (whether the company is considered a candidate when AI breaks down questions)', 'Referability (whether it is cited as a verifiable source)', and 'Ease of Citation (whether it is written in a way that is easy to identify)'.
Q: Why is the visualization of AI search important now?: A: With Google starting to provide 'AI-Generated Performance Reports' in Search Console, AI search is now recognized as a channel that should be measured independently from organic search, making data-driven PDCA cycles crucial.
Q: What is the basis for AI-OKS Co., Ltd. providing this service?: A: The company has over 20 years of SEO consulting experience and has conducted actual analysis using prompts on the four major AIs, giving them firsthand knowledge of the current state and challenges of AI recommendations.
Q: What is the technical background referenced in this diagnostic service?: A: It references Google's 'Thematic Search Patent (US12158907B1)' and Google DeepMind's 'AlphaEvolve (arXiv:2506.13131, 2025)'.