#Japan #AI Search #Shibuya #LLMO #Aioyx

Aioyx Introduces LLMO Diagnosis for AI Search Visibility

Aioyx Corporation, known for its extensive experience in SEO consulting and the SEO Japan media platform, has launched a groundbreaking new service called LLMO Diagnosis (Web Content Diagnosis). This service aims to provide insights into how companies are being cited and recommended in AI searches, including prominent platforms like ChatGPT, Gemini, AI Mode, and AI Overviews. The launch date for this innovative service was set for June 10, 2026.

Background of the Service

The foundation of LLMO Diagnosis is rooted in a significant development announced on June 3, 2026, by Google. The tech giant revealed that it would begin providing data on AI search exposure via the Performance Report for Generative AI on Search Console. This report will allow site owners to assess how often their pages are mentioned as references in AI search contexts, broken down by page, country, device, and date. This initiative began with select site operators in the UK and is expected to roll out globally.

While the current focus is primarily on visibility (impressions), which does not include metrics like clicks and search terms, this move marks a significant change. It indicates that AI search is now being recognized as a distinct channel that should be measured with its own metrics, separate from traditional organic search metrics.

Prior to this, companies had to rely on third-party tools to estimate their visibility in AI search, making it challenging to base decisions on reliable data. With the advent of official data, Aioyx can now engage in a cycle of measurement and improvement akin to optimizing search rankings and web traffic.

In an analysis performed by Aioyx, examining 48 responses from four major AIs using 12 targeted prompts related to purchasing intent, it became clear that AI recommendations clustered around a few companies, and many firms were not considered at all, including Aioyx itself.

LLMO Diagnosis Explained

The LLMO Diagnosis service evaluates both on-site and external factors on comparative sites and user-generated content platforms to identify a company’s current standing in terms of being cited and recommended by AI. It highlights what actions should be prioritized to improve visibility in AI search contexts by breaking down the necessary components into actionable strategies.

Key Features of LLMO Diagnosis

The service is built upon a three-axis framework derived from understanding the core three steps in the AI answer generation process:

1. Decomposition (Comparative Design): This assesses how well a company’s site emerges as a candidate in response to sub-queries posed by AI.
2. Referencing (Citations): It examines whether the company’s information can be reliably sourced and referenced in AI-generated answers based on passage-level information.
3. Citing Ease (Synthesis): This evaluates whether the information provided leads to easy extraction of identifiable details about the company, products, or services.

This structure eschews ephemeral tactical approaches in favor of enduring principles that will remain relevant for AI search optimization.

Comprehensive Service Benefits

Aioyx’s LLMO Diagnosis service promises to provide businesses with a clear understanding of:

• - Current Position: Quantitative measures of their mention and citation status in AI search, alongside competitive sharing metrics.
• - Gap Analysis: Thorough insights into where gaps exist in the three axes of the service to aid informed decision-making.
• - Prioritized Actions: Strategic recommendations outlining what steps to prioritize to effectively utilize limited resources for optimal results.

Remarks from Aioyx’s Consulting Division Head

Endo, Director of Aioyx’s Web Consulting Division, expressed enthusiasm about how the advancements in AI search metrics have created a solid foundation for businesses to start measuring and improving their visibility.

"With Google releasing data on their Search Console, we now have a reliable framework to build upon. Rather than opting for quick-fix individual techniques, our focus remains on designing a frame based on the inherent qualities of AI’s answer generation. This allows us to ascertain what truly needs to be done to achieve meaningful results—supported by solid data."

In conclusion, Aioyx’s LLMO Diagnosis service is a significant leap forward for businesses aiming to navigate the complexities of AI search and secure their place in this evolving digital market.

Company Background

Founded on February 22, 2002, Aioyx Corporation operates out of Shibuya, Tokyo, and has established itself as a leader in web consulting, media management, and food services. Under the leadership of CEO Taki Hi Tomonori, the company combines creative expertise with advanced analytics to offer top-notch consulting solutions. With a dedicated team of about 50 professionals, Aioyx also manages the SEO Japan media platform, catering to various industry needs.