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fsmb – Fachschaft Medizin der Universität Bern: Ein Verein von Studierenden für Studierende der medizinischen Fakultät der Universität Bern (CH) — 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 College Education →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
fachschaftvetmedbern.ch ↗	65 match 1 shared topics	Fachschaft Veterinär Medizin Uni Bern - Startseite	Switzerland de	college-education WordPress	robotsllmsaihumans	emailphone	none
absolventenverband.at ↗	64 match 1 shared topics	Verein der Absolventen und Freunde der Höheren Lehranstalten für Forstwirtschaft, Unterloisdorf - Home	Austria de	college-education	robotsllmsaihumans	emailphone	none
mikroversum.org ↗	64 match 1 shared topics	mikroVERSUM – Universität Innsbruck	de	college-education	robotsllmsaihumans	email phone	none
karlsuniversity.com ↗	64 match 1 shared topics	Karlshochschule International University – Die Karls - Karlshochschule International University	de	college-education WordPress	robotsllmsaihumans	emailphone	none
tu-ilmenau.com ↗	64 match 1 shared topics	Startseite \| Technische Universität Ilmenau	de	college-education TYPO3	robotsllmsaihumans	emailphone	none
foerdervereinfhgr.ch ↗	64 match 1 shared topics	Der Förderverein der Fachhochschule Graubünden - Förderverein FH Graubünden	Switzerland de	college-education Jimdo	robotsllmsaihumans	emailphone	none
tu-ilmenau-transfer.com ↗	64 match 1 shared topics	TU Ilmenau Transfer GmbH \| Technische Universität Ilmenau	de	college-education TYPO3	robotsllmsaihumans	emailphone	none
4ing.net ↗	63 match 1 shared topics	4ing – Fakultätentage	de	college-education WordPress	robotsllmsaihumans	emailphone	none
aau.at ↗	63 match 1 shared topics	Universität Klagenfurt	Austria de	college-education WordPress	robotsllmsaihumans	emailphone	none
aauwirdreicher.at ↗	63 match 1 shared topics	Kampagne Sanierung 2016-2018 \| Universität Klagenfurt	Austria de	college-education WordPress	robotsllmsaihumans	emailphone	none
medsektion-goetheanum.org ↗	63 match 1 shared topics	Medizinische Sektion \| Home	de	college-education	robotsllmsaihumans	emailphone	none
csusystemfoundation.org ↗	62 match 1 shared topics	Central Science University – System Foundation	de	college-education WordPress	robotsllmsaihumans	emailphone	none
pro-uni-edu.org ↗	62 match 1 shared topics	ProUniEdu-WeK – Practice-oriented University Education in Western Kenya	de	college-education WordPress	robotsllmsaihumans	emailphone	none
alanus.edu ↗	62 match 1 shared topics	Die Alanus Hochschule für Kunst und Gesellschaft	de	college-education WordPress	robotsllmsaihumans	email phone	none
albia.at ↗	62 match 1 shared topics	Albia – Wiener akademische Burschenschaft	Austria de	college-education WordPress WooCommerce	robotsllmsaihumans	emailphone	none
medienstudium.rocks ↗	62 match 1 shared topics	Medienstudium rocks! - Fachhochschule des Mittelstands (FHM)	de	college-education WordPress	robotsllmsaihumans	emailphone	none
media-engineering.info ↗	62 match 1 shared topics	Startseite – Technische Hochschule Nürnberg Georg Simon Ohm	de	college-education TYPO3	robotsllmsaihumans	emailphone	none
mediaconservation.org ↗	62 match 1 shared topics	Staatliche Akademie der Bildenden Künste Stuttgart	de	college-education WordPress	robotsllmsaihumans	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.