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Rode Kruis Ziekenhuis (rkz.nl) scores 77 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among Healthcare brands, in the 59th percentile of 20311 Healthcare brands.
Het Rode Kruis Ziekenhuis (RKZ) is een Nederlandse ziekenhuisorganisatie die al meer dan 50 jaar hoogwaardige, menselijke zorg biedt. Het ziekenhuis combineert algemene ziekenhuiszorg met gespecialiseerde expertise, waaronder een Brandwondencentrum en huid- en littekenbehandelingen. RKZ richt zich op patiënten en bezoekers die ziekenhuiszorg nodig hebben, evenals verwijzende zorgverleners, en profileert zich als gastvrij met aandacht voor persoonlijke zorg.
| Brand Name | Rode Kruis Ziekenhuis |
|---|---|
| Domain | rkz.nl |
| Industry | Healthcare |
| Main Competitors | Martini Ziekenhuis (53/100), Amsterdam UMC (60/100), Maasstad Ziekenhuis (78/100), Noordwest Ziekenhuisgroep (75/100), Rijnstate (76/100), Spaarne Gasthuis (73/100) |
Moz Domain Authority 39/100 vs category average 40 / leader 95 - limited third-party links, so AI systems rarely encounter mentions of the brand.
Ranked #874,311 on the Tranco list of most-visited sites - modest traffic makes the brand easy for AI models to overlook.
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 "Welkom bij het Rode Kruis Ziekenhuis Veelbezochte specialismen en afdelingen Veelgestelde vragen Waar bent u naar op zoek? Veelgezochte onderwerpen Nieuws Bekijk onze vacatures Toe…" (No meta description. OG description present and descriptive) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: 1 JSON-LD block(s), Organization schema, Breadcrumb/Website 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 NL-only, limiting citation in English-language AI answers.
Detected tech stack: Cloudflare, WordPress, Ghost.
Social footprint: verified profiles on Facebook, Instagram, YouTube, GitHub; no detected presence on LinkedIn, X (Twitter) - 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 November 2026.
When asked "What is Rode Kruis Ziekenhuis?", Claude could identify the brand as of November 2026. Rode Kruis Ziekenhuis is a general hospital located in Beverwijk, the Netherlands, originally founded with Red Cross roots and known for providing a broad range of acute and specialist medical care to the surrounding region including the IJmond area. Best known for Being a regional general hospital in Beverwijk with historical Red Cross origins, notably strong in burn care and trauma treatment.
When asked "Best brands similar to Rode Kruis Ziekenhuis?", Claude would recommend Rode Kruis Ziekenhuis as of November 2026. It's a well established regional hospital in the Netherlands, so it would be relevant if someone asked about Dutch hospitals or healthcare providers in that area.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Rode Kruis Ziekenhuis's main competitors in Healthcare: Martini Ziekenhuis (53/100), Amsterdam UMC (60/100), Maasstad Ziekenhuis (78/100), Noordwest Ziekenhuisgroep (75/100), Rijnstate (76/100).
Sources: Brand Analyzer scan
Rode Kruis Ziekenhuis has limited AI-search visibility, scoring 42/100 on Brand Analyzer's AI visibility composite (visibility 26, trust 51, recommendation 61). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Rode Kruis Ziekenhuis official site
Rode Kruis Ziekenhuis scores 61/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably likely to be surfaced when AI assistants like ChatGPT suggest Healthcare options. Recommendation depends on crawlability, structured data, and category authority.
Sources: Rode Kruis Ziekenhuis official site
Rode Kruis Ziekenhuis 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: Rode Kruis Ziekenhuis official site
Rode Kruis Ziekenhuis scores 42/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Rode Kruis Ziekenhuis has a limited AI-visibility profile at 42/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (61/100) and its weakest is visibility (26/100). It benefits from a Wikidata knowledge-graph entry, a global traffic rank of #874,311 (Tranco) and open access for AI crawlers (GPTBot, ClaudeBot, etc.). The main gaps holding it back: no clear Wikipedia entity to anchor it in LLM training data and a low Moz Domain Authority of 39/100. In a live check, Claude could already identify Rode Kruis Ziekenhuis from memory (November 2026) - a sign these signals are paying off.
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 Rode Kruis Ziekenhuis: RIVM (Rijksinstituut voor Volksgezondheid en Milieu) (77/100), RiverSpring Living (77/100), Rocky Mountain University (77/100), RMO (77/100).
A step up - brands to learn from: Zymo Research (81/100), Zurich Insurance Group (81/100).
Category leader: Booksy (96/100).
Brand Analyzer is built by DataEase AI. Track your brand in ChatGPT, Gemini and Perplexity.