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Fit für die neue Arbeitswelt? Mit Lernspielen Future Skills trainieren — 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
businessbildungszentrum.ch ↗	64 match 2 shared topics	Die Lernwelt für Human Resources Management - Business Bildungszentrum	Switzerland de	vocational-training Jimdo	robotsllmsaihumans	emailphone	none
leafy-hill.com ↗	63 match 2 shared topics	Leafy Hill Akademie – Individuelle Weiterbildung und Mitarbeiterentwicklung	de	vocational-training	robotsllmsaihumans	emailphone	none
ausbildungsfahrplan.at ↗	62 match 2 shared topics	Ausbildungsdokumentationen und Ausbildungsleitfäden für Lehrberufe von A-Z - WKO	Austria de	vocational-training	robotsllmsaihumans	emailphone	none
ausbildungsleitfaeden.at ↗	62 match 2 shared topics	Ausbildungsdokumentationen und Ausbildungsleitfäden für Lehrberufe von A-Z - WKO	Austria de	vocational-training	robotsllmsaihumans	emailphone	none
ausbildungsleitfaden.at ↗	62 match 2 shared topics	Ausbildungsdokumentationen und Ausbildungsleitfäden für Lehrberufe von A-Z - WKO	Austria de	vocational-training	robotsllmsaihumans	emailphone	none
adventure-learning.ch ↗	61 match 2 shared topics	Home (adventure learning)	Switzerland de	vocational-training	robotsllmsaihumans	emailphone	none
adventurelearning.ch ↗	61 match 2 shared topics	Home (adventure learning)	Switzerland de	vocational-training	robotsllmsaihumans	emailphone	none
akifair.at ↗	60 match 2 shared topics	Willkommen bei AKIfair	Austria de	vocational-training	robotsllmsaihumans	emailphone	none
institut-arbeitsagogik.ch ↗	37 match 1 shared topics	Institut für Arbeitsagogik IfA	Switzerland de	vocational-training WordPress	robotsllmsaihumans	emailphone	none
futuretechskills.ch ↗	35 match 1 shared topics	FutureTech Skills	Switzerland de	vocational-training	robots llmsaihumans	emailphone	none
training-lotaro.com ↗	35 match 1 shared topics	LOTARO - Live Trainings und People Skills Weiterbildungskurse	de	vocational-training	robotsllmsaihumans	emailphone	none
cloudskills.ch ↗	35 match 1 shared topics	cloud skills - Microsoft Cloud Training & Skilling Services	Switzerland de	vocational-training Squarespace Magento	robotsllmsaihumans	emailphone	none
fokusklasse.ch ↗	35 match 1 shared topics	Fokusklasse Informatik - mach Dich fit für die ICT!	Switzerland de	vocational-training	robotsllmsaihumans	emailphone	none
ipafschulung.ch ↗	35 match 1 shared topics	Arbeitssicherheit & Schulungen für Hebebühnen & Stapler	Switzerland de	vocational-training TYPO3	robotsllmsaihumans	email phone	none
feschtland.ch ↗	35 match 1 shared topics	Feschtland I Kompetenzzentrum für Arbeitsintegration	Switzerland de	vocational-training WordPress	robotsllmsaihumans	emailphone	none
alexanderriegler.at ↗	35 match 1 shared topics	Alexander Riegler – Fortbildungen & KI-Training für Labormitarbeiter:innen	Austria de	vocational-training Joomla	robotsllmsaihumans	emailphone	none
komp-zentrum.ch ↗	34 match 1 shared topics	Kompetenzzentrum für Arbeitssicherheit in Pratteln	Switzerland de	vocational-training WordPress WooCommerce	robotsllmsaihumans	email phone	none
allskills-training.com ↗	34 match 1 shared topics	allskills Training - IT-Seminare, EDV-Schulungen, Trainings und Kurse in Berlin	Germany~ 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.