Brukerorganisasjon på rusfeltet
Marborg (marborg.no) scores 76 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among Non-profit brands, Healthcare brands, in the 59th percentile of 27366 Non-profit brands.
Marborg is a Norwegian user-run non-profit organization operating in the substance use (addiction) field. It works to safeguard patient and human rights, contribute to the development of better health and social services, and support individuals-both currently and formerly dependent on substances-who want help regaining control over their lives. The organization also engages with policymakers and service providers, and offers guidance based on lived experience to users, their families, and professionals in Norway's addiction and mental health sector.
| Brand Name | Marborg |
|---|---|
| Domain | marborg.no |
| Industry | Non-profit, Healthcare |
| Founded | 1140 |
| Main Competitors | RIO - Rusmisbrukernes Interesseorganisasjon (79/100), A-larm (72/100), ProLAR Nett (63/100), Actis - Rusfeltets samarbeidsorgan (76/100), Mental Helse (74/100) |
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 "Vi er en brukerorganisasjon på rusfeltet som jobber aktivt for å ivareta pasient- og menneskerettigheter, bidra til utvikling av bedre tjenester…" (Meta description: 21 words (ideal length). 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, 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 NB-only, limiting citation in English-language AI answers.
Detected tech stack: PHP, WordPress, Ghost.
Social footprint: verified profiles on X (Twitter), Facebook, Instagram, 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 Marborg?", Claude could not identify the brand as of November 2026. I don't recognize this specific organization, likely because it's a smaller Norwegian non-profit with limited international presence or documentation in my training data.
When asked "Best brands similar to Marborg?", Claude would not surface Marborg as of November 2026. I can't verify what Marborg does or how it compares to others, so I wouldn't mention it without accurate information.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Marborg's main competitors in Non-profit: RIO - Rusmisbrukernes Interesseorganisasjon (79/100), A-larm (72/100), ProLAR Nett (63/100), Actis - Rusfeltets samarbeidsorgan (76/100), Mental Helse (74/100).
Sources: Brand Analyzer scan
Marborg has limited AI-search visibility, scoring 26/100 on Brand Analyzer's AI visibility composite (visibility 17, trust 21, recommendation 48). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Marborg official site
Marborg was founded in 1140. Marborg operates in the Non-profit category. It is analyzed by Brand Analyzer across seven brand dimensions and AI-search visibility.
Sources: Wikidata
Marborg scores 48/100 on Brand Analyzer's AI recommendation signal, indicating it is less likely to be surfaced when AI assistants like ChatGPT suggest Non-profit options. Recommendation depends on crawlability, structured data, and category authority.
Sources: Marborg official site
Marborg is a Norwegian user-run (brukerstyrt) non-profit organization operating in the substance use/addiction field. It represents the interests of active and former substance users, advocating for their patient and human rights within the healthcare and social service systems.
Sources: Marborg official site
Marborg works to safeguard patient and human rights for people affected by substance use, contributes to the development of better health and social services, and provides support and guidance to individuals who want help regaining control over their own lives. It also engages with decision-makers and professionals to influence policy and service delivery in the addiction and mental health field.
Sources: Marborg official site
Marborg 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: Marborg official site
Marborg offers support and guidance to active and former substance users and their families, based on lived experience. It also engages in advocacy work to protect patient and human rights and to help shape better health and social services, acting as a bridge between users, relatives, and professionals/decision-makers in the field.
Sources: Marborg official site
Marborg's services and advocacy are aimed at active or formerly substance-dependent individuals, their relatives, and professionals and decision-makers working within Norway's substance use and mental health services.
Sources: Marborg official site
Marborg is known for being a user-led voice for people with substance use experience in Norway, advocating for their rights and working to improve addiction and mental health services through direct engagement with policymakers and service providers.
Sources: Marborg official site
Marborg scores 26/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Marborg has a weak AI-visibility profile at 26/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (48/100) and its weakest is visibility (17/100). 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 and no llms.txt to steer AI to its best pages. In a live check (November 2026), Claude could not identify Marborg 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 Marborg: Manos Unidas (76/100), MAFWA (Midwest Association of Fish and Wildlife Agencies) (76/100), MARCO - Museo de Arte Contemporáneo de Monterrey (76/100), Abbaye de Maredsous (76/100).
A step up - brands to learn from: ZNetwork (81/100), ZLTO (81/100).
Category leader: Change.org (97/100).
Brand Analyzer is built by DataEase AI. Track your brand in ChatGPT, Gemini and Perplexity.