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Personalentwicklung, IT Schulungen & IT Projekte — 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
pr-bawue.de ↗	68 match 1 shared topics	Schulungen für Personalräte in Baden-Württemberg	Germany de	vocational-training Joomla	robotsllmsaihumans	emailphone	none
agile-leaders.ch ↗	67 match 1 shared topics	Akkreditierte IT-Schulungen & Zertifizierungen \| tecnovy	Switzerland de	vocational-training	robotsllmsaihumans	emailphone	none
traicen.com ↗	67 match 1 shared topics	TraiCen - IT Trainings, IT Seminare, IT Schulung, IT Kurse, Consulting, & Zertifizierungen	de	vocational-training Joomla	robotsllmsaihumans	emailphone	none
365-schulung.com ↗	67 match 1 shared topics	Office365 Schulungen für Anwender und Administratoren	de	vocational-training WordPress	robotsllmsaihumans	emailphone	none
onteamz.com ↗	67 match 1 shared topics	Azubi Entwicklung	de	vocational-training WordPress WooCommerce	robotsllmsaihumans	emailphone	none
radstation-soest.de ↗	67 match 1 shared topics	Radstation Soest \| SEN e.V. \| Soester EntwicklungsNetz	Germany de	vocational-training Joomla	robotsllmsaihumans	emailphone	none
dts-schulungen.de ↗	67 match 1 shared topics	DTS Schulungen - Online Suchtpräventionsschulungen und Präsenzkurse	Germany de	vocational-training WordPress WooCommerce	robotsllmsaihumans	emailphone	none
toptraining.com ↗	67 match 1 shared topics	TopTraining - Training, Entwicklung & Coaching	de	vocational-training WordPress WooCommerce	robotsllmsaihumans	email phone	none
bausoftware-wien.at ↗	67 match 1 shared topics	NEVARIS Schulungen & Support \| DL-DATA \| Vertrieb & Training	Austria de	vocational-training Joomla	robotsllmsaihumans	emailphone	none
pilzacademy.at ↗	67 match 1 shared topics	PILZ Academy - Schulungen zur Maschinensicherheit	Austria de	vocational-training WordPress	robots llmsaihumans	emailphone	none
ap-schulungen.ch ↗	67 match 1 shared topics	AP SCHULUNGEN - Startseite	Switzerland de	vocational-training WordPress	robotsllmsaihumans	email phone	none
qtech.at ↗	67 match 1 shared topics	WOVENTIS \| IT-Ausbildung, Lehrlings-/Fachkräfteentwicklung & digitale Kompetenz	Austria de	vocational-training	robotsllmsaihumans	emailphone	none
ra-micro-seminare.de ↗	66 match 1 shared topics	RA-MICRO Seminare Berlin – Schulungen für Kanzleisoftware	Germany de	vocational-training	robotsllmsaihumans	emailphone	none
strassenaufsicht.at ↗	66 match 1 shared topics	gemba.austria - Menschen- und Organisationsentwicklung	Austria de	vocational-training WordPress	robotsllmsaihumans	emailphone	none
pr-niedersachsen.de ↗	66 match 1 shared topics	Schulungen für Personalräte in Niedersachsen – KURS-Institut	Germany de	vocational-training Joomla	robotsllmsaihumans	emailphone	none
e-learners.de ↗	66 match 1 shared topics	Online-Schulung	Germany de	vocational-training	robotsllmsaihumans	email phone	none
3dboden.info ↗	66 match 1 shared topics	Spanndecken, Steinteppich & Bodenschulungen \| 3dboden.info	de	vocational-training Weebly	robotsllmsaihumans	email phone	none
einkaufsgemeinschaft.at ↗	66 match 1 shared topics	Willkommen bei Ihrem Schulungsanbieter -	Austria de	vocational-training WordPress WooCommerce	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.