Élargit le champ des possibles
MAD-UP (mad-up.com) earns a Brand Analyzer score of 70 out of 100, placing it in the Developing tier among Healthcare brands, Sports & Fitness brands. Among 2305 Healthcare brands analyzed, MAD-UP ranks in the 62nd percentile (category average 68, leader 95). 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. Dimension scores: Name Quality 100/100, Digital Presence 82/100, Visual Identity 96/100, Messaging Clarity 100/100, Trust Foundation 70/100, AI Discoverability 61/100, Brand Authority 17/100.
MAD-UP is a French biomedical engineering company founded in 2018 and headquartered in Angers. It develops the MAD-UP Physio device, a Blood Flow Restriction (BFR) training tool designed for physiotherapists and healthcare professionals. The device precisely regulates pressure on muscles during BFR training, enabling safe, individualized functional rehabilitation and rapid muscle strengthening without the risks associated with intense physical effort. Its methods are based on scientifically validated BFR protocols.
| Brand Name | MAD-UP |
|---|---|
| Domain | mad-up.com |
| Industry | Healthcare, Sports & Fitness |
| Founded | 2018 |
| Headquarters | Angers |
| Main Competitors | Delfi Medical, Owens Recovery Science, Smart Tools Plus, Delphi BFR, Saga BFR |
Moz Domain Authority 16/100 vs category average 29 / 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 "Le dispositif MAD-UP Physio est le résultat de plusieurs années de recherches en ingénierie bio-médicale." (Meta description: 15 words (ideal length). OG description present and descriptive) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: 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: No robots.txt found (default: all bots allowed, but explicit file preferred) - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.
Social footprint: verified profiles on Facebook, Instagram, LinkedIn, GitHub; no detected presence on X (Twitter), YouTube - consistent profiles reinforce the brand's identity across the web.
0 Reddit mentions - community discussion signals real-world reputation to AI models.
MAD-UP scores 24/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
MAD-UP has a weak AI-visibility profile at 24/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (40/100) and its weakest is trust (14/100). It benefits from a Wikidata knowledge-graph entry 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, a low Moz Domain Authority of 16/100 and thin schema.org structured data.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
MAD-UP's main competitors include Delfi Medical, Owens Recovery Science, Smart Tools Plus, Delphi BFR, Saga BFR. These companies compete in the Healthcare space for similar customers, offering comparable products or services.
Sources: MAD-UP official site
MAD-UP offers the MAD-UP Physio, a Blood Flow Restriction (BFR) training device designed for use in functional rehabilitation and muscle strengthening. The device precisely regulates pressure on muscles during BFR sessions, enabling healthcare professionals to deliver individualized, safe rehabilitation programs. It is built on scientifically validated BFR methods and is designed to support patient progress across a range of pathologies. No other distinct products or services are mentioned in the available facts.
Sources: MAD-UP official site
Popular alternatives to MAD-UP include Delfi Medical, Owens Recovery Science, Smart Tools Plus, Delphi BFR, Saga BFR. Each is an established option in the Healthcare space; the best fit depends on your specific needs, budget, and required features.
Sources: MAD-UP official site
MAD-UP is a French biomedical engineering company founded in 2018 and based in Angers, France. It produces the MAD-UP Physio, a medical device developed through several years of biomedical engineering research. The device is specifically designed for Blood Flow Restriction (BFR) training in clinical and rehabilitation settings. It is positioned as an innovative solution aimed at physiotherapists and healthcare professionals seeking secure, evidence-based tools for functional rehabilitation and muscle strengthening.
Sources: MAD-UP official site
MAD-UP has low AI-search visibility, scoring 24/100 on Brand Analyzer's AI visibility composite (visibility 21, trust 14, recommendation 40). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: MAD-UP official site
MAD-UP was founded in 2018. MAD-UP operates in the Healthcare category. It is analyzed by Brand Analyzer across seven brand dimensions and AI-search visibility.
Sources: Wikidata
MAD-UP is headquartered in Angers. MAD-UP operates in the Healthcare category.
Sources: Wikidata
MAD-UP develops and provides a BFR (Blood Flow Restriction) training device called the MAD-UP Physio, which precisely regulates pressure applied to muscles during rehabilitation exercises. By controlling this pressure, the device enables physiotherapists to apply scientifically validated BFR methods in a safe, individualized manner. It is designed to facilitate functional rehabilitation and rapid muscle strengthening across various pathologies, reducing the risks typically associated with high-intensity physical effort.
Sources: MAD-UP official site
MAD-UP and Delfi Medical are competitors in Healthcare. They target overlapping audiences; the right choice depends on your specific needs and priorities.
Sources: MAD-UP official site
MAD-UP's primary users are physiotherapists and healthcare professionals specializing in functional rehabilitation. The device is designed to be operated within clinical or professional rehabilitation contexts, where precise control of Blood Flow Restriction parameters is required. It is intended for professionals who work with patients recovering from various pathologies and who require a scientifically validated, safe tool for guiding muscle strengthening and rehabilitation protocols.
Sources: MAD-UP official site
MAD-UP scores 40/100 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: MAD-UP official site
MAD-UP is known for its MAD-UP Physio device, which stands out as a precise pressure-regulation tool for Blood Flow Restriction training in rehabilitation. According to the company, it is the only device that precisely regulates pressure on muscles during BFR training, making it distinctive in the field of biomedical engineering for physiotherapy. It is recognized for adapting scientifically validated BFR methods for safe, individualized patient rehabilitation across multiple pathologies.
Sources: MAD-UP official site
MAD-UP 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: MAD-UP official site
Ranked closest to MAD-UP: LNA Santé (70/100), Linus Health (70/100), Mango Soft (70/100), MBMS (70/100).
A step up - brands to learn from: Zipari by mPulse (71/100), Zaina AI (71/100).
Category leader: Dassault Systèmes (95/100).