Samen MS-onderzoek verder brengen
MS Research (msresearch.nl) scores 77 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among Healthcare brands, Non-profit brands, in the 60th percentile of 21388 Healthcare brands.
MS Research is a Dutch non-profit foundation that funds and coordinates scientific research into multiple sclerosis (MS). Active since 1980, it supports studies aimed at better treating, halting and ultimately preventing the disease. The organisation serves people living with MS, their families, donors and researchers in the Netherlands, positioning itself as the leading Dutch foundation driving MS research funding, innovation and knowledge sharing.
| Brand Name | MS Research |
|---|---|
| Domain | msresearch.nl |
| Industry | Healthcare, Non-profit |
| Founded | 1980 |
| Headquarters | Netherlands |
| Main Competitors | National MS Society (84/100), MS Society (UK) (86/100), Multiple Sclerosis International Federation (83/100), MS Research Australia, Nationaal MS Fonds |
Ranked #2,202,039 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 "Onze missie: MS beter behandelen, stoppen en uiteindelijk voorkomen. Wetenschappelijk onderzoek vormt hiervoor de sleutel. Daarom investeren we al sinds 198 ..." (Meta description: 22 words (ideal length). OG description present and descriptive) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: 2 JSON-LD block(s), Breadcrumb/Website schema, og:title, og:description, og:image, og:type, Twitter cards. Adding Organization and 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, X (Twitter), YouTube, GitHub; no detected presence on LinkedIn - 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 MS Research?", Claude could not identify the brand as of November 2026. I don't recognize 'MS Research' at msresearch.nl specifically, likely because it's a small or niche Dutch organization (possibly related to multiple sclerosis research) without enough presence in my training data.
When asked "Best brands similar to MS Research?", Claude would not surface MS Research as of November 2026. I can't vouch for or recommend a company I can't verify any details about.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
MS Research's main competitors in Healthcare: National MS Society (84/100), MS Society (UK) (86/100), Multiple Sclerosis International Federation (83/100).
Sources: Brand Analyzer scan
MS Research has limited AI-search visibility, scoring 31/100 on Brand Analyzer's AI visibility composite (visibility 21, trust 24, recommendation 59). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: MS Research official site
MS Research scores 59/100 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: MS Research official site
MS Research is a Dutch non-profit foundation dedicated to funding and advancing scientific research on multiple sclerosis (MS). It has operated since 1980 with the goal of improving treatment, halting disease progression, and eventually preventing MS through research.
Sources: MS Research official site
MS Research finances and coordinates scientific studies into multiple sclerosis in the Netherlands. It invests donor funds into research projects aimed at better treatments, disease prevention, and sharing of scientific knowledge among researchers and the MS community.
Sources: MS Research official site
MS Research 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: MS Research official site
MS Research offers funding for scientific research projects on multiple sclerosis, supports innovation in MS treatment and prevention methods, and facilitates knowledge sharing among scientists, people with MS, and their families in the Netherlands.
Sources: MS Research official site
MS Research is known for being the main Dutch foundation structurally funding MS research since 1980, supporting innovation and knowledge exchange to help find treatments and ultimately a cure for multiple sclerosis.
Sources: MS Research official site
MS Research's work reaches people living with MS and their families, donors who fund the foundation's research programs, and scientists and research institutions in the Netherlands conducting MS-related studies.
Sources: MS Research official site
MS Research scores 31/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
MS Research has a weak AI-visibility profile at 31/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (59/100) and its weakest is visibility (21/100). It benefits from a Wikidata knowledge-graph entry, a global traffic rank of #2,202,039 (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, thin schema.org structured data and no llms.txt to steer AI to its best pages. In a live check (November 2026), Claude could not identify MS Research 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 MS Research: MSD Manuals (77/100), Move This World (77/100), Mushroom Revival (77/100), HAAM (Health Alliance for Austin Musicians) (77/100).
A step up - brands to learn from: Zymo Research (81/100), Zurich Insurance Group (81/100).
Category leader: Booksy (96/100).
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