自費診療の訪問看護サービス
Nurse-bank (nurse-bank.jp) scores 58 out of 100 on Brand Analyzer, placing it in the Developing tier among Healthcare brands, in the 5th percentile of 19652 Healthcare brands.
Nurse-bank (ネコフクロウ) is a Japanese home visiting nurse station that operates on a self-pay (自費診療) basis rather than through standard insurance-covered nursing care. It positions itself as a flexible, individualized nursing care provider for patients and families who need in-home medical support but seek services outside the constraints of insurance-based care. The service targets home care recipients and their families looking for personalized, non-insurance nursing options in Japan.
| Brand Name | Nurse-bank |
|---|---|
| Domain | nurse-bank.jp |
| Industry | Healthcare |
| Main Competitors | SOMPO Care, Nichiigakkan (35/100), Saint Care Holding, Yasashii Te |
Moz Domain Authority 3/100 vs category average 40 / leader 95 - limited third-party links, so AI systems rarely encounter mentions of the brand.
No Wikipedia presence was found - a major gap, since Wikipedia is among the most heavily weighted sources in AI training data.
The homepage meta description reads "訪問看護ステーション ネコフクロウへようこそ！ 訪問看護ステーション ネコフクロウは自費診療で訪問看護を提供す" (Meta description too short (4 words). OG description present but brief) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: 2 JSON-LD block(s), Organization schema, Breadcrumb/Website schema, Product/Article schema, + Microdata, og:title, og:description, og:image, og:type, Twitter cards, canonical. Adding FAQ schema would further help AI crawlers parse the brand's identity.
AI-crawler access: robots.txt present, no AI bot restrictions - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.
Content is JA-only, limiting citation in English-language AI answers.
Detected tech stack: Nginx, WordPress, Ghost.
Social footprint: verified profiles on Instagram, YouTube; no detected presence on X (Twitter), Facebook, LinkedIn, GitHub - consistent profiles reinforce the brand's identity across the web.
0 Reddit mentions - community discussion signals real-world reputation to AI models.
Live results from asking a general-purpose AI assistant about the brand, checked October 2026.
When asked "What is Nurse-bank?", Claude could not identify the brand as of October 2026. I don't recognize this specific company, likely a Japanese nursing job-matching or staffing platform given the name and .jp domain, but I don't have verified details about it due to limited presence in my training data.
When asked "Best brands similar to Nurse-bank?", Claude would not surface Nurse-bank as of October 2026. I can't vouch for specifics I'm not confident about, so I wouldn't bring it up without genuine knowledge of its reputation or services.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Nurse-bank has limited AI-search visibility, scoring 29/100 on Brand Analyzer's AI visibility composite (visibility 13, trust 38, recommendation 45). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Nurse-bank official site
Nurse-bank scores 45/100 on Brand Analyzer's AI recommendation signal, indicating it is less likely to be surfaced when AI assistants like ChatGPT suggest Healthcare options. Recommendation depends on crawlability, structured data, and category authority.
Sources: Nurse-bank official site
Nurse-bank can improve AI discoverability by strengthening structured data (Organization and FAQ schema), maintaining an accurate Wikipedia/Wikidata entity, earning authoritative citations, and keeping content crawlable for AI bots. Brand Analyzer measures these as visibility, trust, and recommendation signals.
Sources: Nurse-bank official site
Nurse-bank scores 29/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Nurse-bank has a weak AI-visibility profile at 29/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (45/100) and its weakest is visibility (13/100). It benefits from a Wikidata knowledge-graph entry, open access for AI crawlers (GPTBot, ClaudeBot, etc.) and machine-readable schema.org markup. The main gaps holding it back: no clear Wikipedia entity to anchor it in LLM training data, a low Moz Domain Authority of 3/100 and no llms.txt to steer AI to its best pages. In a live check (October 2026), Claude could not identify Nurse-bank from memory, confirming the gaps above.
The score combines seven dimensions - name quality, digital presence, visual identity, messaging clarity, trust foundation, AI discoverability, and brand authority - into a single objective benchmark.
Ranked closest to Nurse-bank: Nurse@Home (58/100), 新生精神康復會 (New Life Psychiatric Rehabilitation Association) (58/100), Nurture Fertility (58/100), Wellina by Nutrisystem (58/100).
A step up - brands to learn from: Zentralwohlfahrtsstelle der Juden in Deutschland e.V. (71/100), ZT Corporate (71/100).
Category leader: Booksy (96/100).
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