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Befundly – Medizinische Befunde verständlich erklärt — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Artificial Intelligence →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
askmedis.com ↗	61 match 2 shared topics	AskMedis - Launch Your Own White-Label AI Medical Platform	de	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
mdmate.ai ↗	42 match 2 shared topics	MD Mate	de	artificial-intelligence Webflow	robotsllmsaihumans	emailphone	none
capito.eu ↗	39 match 1 shared topics	Mehr Reichweite mit leicht verständlichen Texten - capito	European Union de	artificial-intelligence WordPress WooCommerce	robotsllmsaihumans	emailphone	none
record101digital.live ↗	36 match 1 shared topics	Vorlauf — KI, Märkte und Technologie verständlich	de	artificial-intelligence	robotsllmsaihumans	emailphone	none
hotjuicetraining.live ↗	36 match 1 shared topics	Kompass — KI, Märkte und Technologie verständlich	de	artificial-intelligence	robotsllmsaihumans	emailphone	none
beimiku.at ↗	36 match 1 shared topics	SUZY am SOFA: Erklärvideos für technische Themen	Austria de	artificial-intelligence	robotsllmsaihumans	emailphone	none
aihorizons.ch ↗	35 match 1 shared topics	AI Horizons & Reflections – Kritische Gedanken, technische Einblicke und verständliche Erklärungen zu aktuellen Entwicklungen und zur Zukunft der Künstlichen Intelligenz.	Switzerland de	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
dieter-hofer.at ↗	35 match 1 shared topics	KI-Agenten im Unternehmen erklärt – Dieter Hofer	Austria de	artificial-intelligence WordPress WooCommerce	robotsllmsaihumans	emailphone	none
one100.ai ↗	34 match 1 shared topics	One100 KI-Telefonassistent – Intelligente Anrufannahme für Arztpraxen	de	artificial-intelligence	robotsllmsaihumans	emailphone	none
chatfluss.com ↗	34 match 1 shared topics	Chatfluss – Mehr Termine & Leads	de	artificial-intelligence	robotsllmsaihumans	emailphone	none
med-in.at ↗	34 match 1 shared topics	Philipp Ruisinger – Medizinische Informatik – Softwarearchitektur – Agile Entwicklungsmethoden – Professional Leadership	Austria de	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
versacommerce.de ↗	33 match 1 shared topics	VersaCommerce – Künstliche Intelligenz für den lokalen Handel	Germany de	artificial-intelligence	robotsllmsaihumans	emailphone	none
trywyvernaisolutions.com ↗	33 match 1 shared topics	Wyvern AI Solutions – KI-Automatisierung für den Mittelstand	Germany~ de	artificial-intelligence	robotsllmsaihumans	email phone	none
aiskilltest.ch ↗	33 match 1 shared topics	AI-Skill Test – KI-Kompetenz automatisch prüfen	Switzerland de	artificial-intelligence	robots llmsaihumans	emailphone	none
elantoriveska.com ↗	33 match 1 shared topics	Elantoriveska - Elantoriveska – Ihr Kompass zu KI 2026	Germany~ de	artificial-intelligence	robotsllmsaihumans	email phone	none
serqolivarix.com ↗	33 match 1 shared topics	Serqolivarix - Serqolivarix – Ihr Kompass zu KI 2026	Germany~ de	artificial-intelligence	robotsllmsaihumans	email phone	none
humanspaces.org ↗	33 match 1 shared topics	eunixx - AI, Websites & Homelab für Selbständige in Freiburg	Germany~ de	artificial-intelligence	robotsllmsaihumans	emailphone	none
alpineos.ch ↗	33 match 1 shared topics	Alpine Operation Systems	Switzerland de	artificial-intelligence Shopify	robots llmsaihumans	emailphone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.