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HUMAN FACTORS HAMBURG - Weniger Fehler – Mehr Team — 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 Vocational Training →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
mein-kaleidoskop.net ↗	64 match 1 shared topics	Willkommen ◇ Training, Coaching und Moderation für Sie persönlich oder für Teams und Gruppen, systemisch, mit der Symbolon-Methode©.	de	vocational-training	robotsllmsaihumans	emailphone	none
be-med.ch ↗	64 match 1 shared topics	be-med – Berner Berufsfachschule für medizinische Assistenzberufe AG	Switzerland de	vocational-training	robotsllmsaihumans	emailphone	none
aquist.at ↗	64 match 1 shared topics	Aquist GmbH – Arbeitsschutzkonzepte, Sicherheitskoordination/-technik, Qualitätsmanagement	Austria de	vocational-training WordPress	robotsllmsaihumans	emailphone	none
alfredjenner.at ↗	63 match 1 shared topics	Alfred Jenner – Berufskraftfahrerweiterbildung - START	Austria de	vocational-training Joomla	robotsllmsaihumans	emailphone	none
brandverhuetung-salzburg.at ↗	63 match 1 shared topics	BV Salzburg – Salzburger Landesstelle für Brandverhütung	Austria de	vocational-training WordPress	robotsllmsaihumans	email phone	none
fahrschule-geiger.ch ↗	63 match 1 shared topics	Fahrschule Simon Geiger – Fahrausbildungen für verschiedene Bereiche	Switzerland de	vocational-training WordPress	robotsllmsaihumans	email phone	none
trainingsundprojekte.com ↗	63 match 1 shared topics	Sabine Schumann - STARTSEITE	de	vocational-training	robotsllmsaihumans	emailphone	none
abz-hagenberg.at ↗	63 match 1 shared topics	Willkommen im ABZ Hagenberg - ABZ Hagenberg	Austria de	vocational-training Contao	robotsllmsaihumans	emailphone	none
i-p-bm.com ↗	63 match 1 shared topics	Institut Psychologie und Bedrohungsmanagement – Hoffmann & Hoffmann GbR	de	vocational-training Joomla	robotsllmsaihumans	email phone	none
meinnow.org ↗	63 match 1 shared topics	Lutz + Grub – Meinnow	de	vocational-training	robotsllmsaihumans	email phone	none
a-leecon.com ↗	63 match 1 shared topics	LEEON Advanced Learning \| Dein Partner für KI-Training und Weiterbildung	Germany~ de	vocational-training	robots llmsaihumans	emailphone	none
hza-seminare.com ↗	63 match 1 shared topics	Praxisnahe Zollseminare der HZA Hamburger Zollakademie \| hza-seminare.de	de	vocational-training	robotsllmsaihumans	email phone	none
leeon.com ↗	63 match 1 shared topics	LEEON Advanced Learning \| Dein Partner für KI-Training und Weiterbildung	Germany~ de	vocational-training	robots llmsaihumans	emailphone	none
controller-academy.ch ↗	63 match 1 shared topics	Home \| Controller Akademie AG Zürich – Studiengänge – Seminare – Weiterbildungen Controlling	Switzerland de	vocational-training WordPress	robots llmsaihumans	emailphone	none
mediavoxa.info ↗	63 match 1 shared topics	Mediavoxa.info – Journalismus-Kurse in Deutschland	de	vocational-training	robotsllmsaihumans	email phone	none
agile.coach ↗	63 match 1 shared topics	Agile.Coach GmbH & Co. KG - Training & Coaching aus Berlin	de	vocational-training WordPress	robots llmsaihumans	emailphone	none
hoehere-fachschule-bern.ch ↗	63 match 1 shared topics	Weiterbildung/ Höhere Fachschule Wirtschaft HFW	Switzerland de	vocational-training	robotsllmsaihumans	emailphone	none
hfw-be.ch ↗	63 match 1 shared topics	Weiterbildung/ Höhere Fachschule Wirtschaft HFW	Switzerland de	vocational-training	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.