LLMO Advocate Takuma Oka Launches 'SEGO,' Japan's First Simultaneous SEO x AI Search Diagnostic Tool [No Registration Required, Completely Free]

Takuma Oka, an expatriate SEO marketer who has advocated the concept of LLMO (Large Language Model Optimization) in Japan, officially launched 'SEGO' (https://sego.jp), a free web tool that simultaneously diagnoses both SEO (Search Engine Optimization) and AI search, on April 30, 2026.

Since its beta launch approximately one month ago, this tool has recorded 924 diagnoses for 471 sites, attracting attention as Japan's first service to visualize the actual state of small and medium-sized enterprise (SME) websites in the AI search era.

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■ Background of Development: Developed by an Expert Who Advocated 'LLMO' in Japan

LLMO refers to an optimization method for ensuring that generative AI such as ChatGPT, Gemini, and Claude correctly recognizes and cites a company's information. In Japanese, it is translated as "大規模言語モデル最適化" (Large Language Model Optimization). The basic concepts of LLMO and specific countermeasures are explained in detail in the SEGO Journal.

LLMO Explanation Article: https://sego.jp/blog/llmo-guide

Developer Takuma Oka has been active as a freelance SEO consultant since 2015, with over 10 years of consulting experience for domestic and international clients, including foreign-affiliated companies.

After his time as a nomad consultant in various Asian countries, he focused on the rapidly expanding search behavior driven by generative AI such as ChatGPT, Gemini, and Perplexity, and pioneered the advocacy of LLMO in Japan.

Unlike traditional SEO, which aims for higher rankings on Google, LLMO is a measure that aims for a company to be selected as an information source in the answers generated by AI.

Based on his 10 years of international SEO consulting experience, Oka identified the lack of a mechanism in Japan for SME owners to objectively grasp the state of their own websites in the AI search era as a challenge, and decided to develop SEGO.

■ What 471 Site Diagnostic Results Revealed: The Reality of SME Websites in the AI Search Era

SEGO began its beta provision in early April 2026, and as of May 1, 2026, it has accumulated 924 diagnoses and real data from 471 sites.

From this diagnostic data, the delay in AI search adaptation among Japanese SME websites became apparent.

[Overall Average Score (out of 100 points, as of May 1, 2026)]

Overall Score: 65.1 points

Technical SEO: 90.7 points

Internal Link Structure: 87.5 points

Content Quality: 70.9 points

AI Search Compatibility: 58.6 points

Trustworthiness (E-E-A-T): 48.6 points

User Experience (UX): 27.9 points

External Mentions (Citation): 15.6 points

While "Google's basic evaluation criteria" such as technical SEO and internal link structure are at a high level of around 90 points, AI search compatibility remains at 58.6 points and external mentions at 15.6 points.

This reality shows that many sites, even if they are compatible with traditional SEO, are not fully compatible with the evaluation criteria used when generative AI like ChatGPT and Gemini refer to them as information sources.

SEGO has also published its unique research articles on SEGO Journal. A survey targeting 74 web administrators revealed blind spots in AI search compatibility that approximately 41.9% overlook.

Research Article: https://sego.jp/blog/seo-ai-search-survey-2026-04

[AI Search Compatibility by Site Type (out of 100 points)]

Media Sites: 64.1 points (587 diagnoses)

EC Sites: 54.5 points (86 diagnoses)

Corporate Sites: 52.9 points (121 diagnoses)

Local Business Sites: 42.1 points (130 diagnoses)

Particularly noteworthy is that local business sites (restaurants, beauty salons, local businesses, etc.) have the lowest AI search compatibility score at 42.1 points.

This reveals a structural problem where small and medium-sized businesses that support the regional economy are lagging in adapting to the AI search era.

[Percentage of Sites in Critical Condition]

Sites with almost zero external mentions (Citation score less than 10 points): 142 sites, 15.4% of the total

Sites with AI search compatibility requiring improvement (score less than 50 points): 69 sites, 7.5% of the total

Sites with catastrophic AI search compatibility (score less than 30 points): 34 sites, 3.7% of the total

Approximately one in six companies (15.4%) has almost no external mentions or citations. In the evaluation criteria for AI search, external mentions are an important indicator of a site's trustworthiness.

These figures indicate that SME sites