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Weiterbildung & Forschung | L&D Infrastructure Management — 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
pharmaschule.com ↗	70 match 1 shared topics	Pharma Weiterbildung und Fortbildung \| Pharmaschule	de	vocational-training WordPress	robotsllmsaihumans	email phone	none
cas-sportmanagement.com ↗	70 match 1 shared topics	Sportmanagement CAS HSG - Weiterbildung an der Uni St. Gallen	Switzerland~ de	vocational-training	robotsllmsaihumans	email phone	none
cas-sportmanagement.ch ↗	70 match 1 shared topics	Sportmanagement CAS HSG - Weiterbildung an der Uni St. Gallen	Switzerland de	vocational-training	robotsllmsaihumans	email phone	none
microwin.com ↗	70 match 1 shared topics	IT-Weiterbildung \| Microwin AG	de	vocational-training	robotsllmsaihumans	email phone	none
breiterbildung.ch ↗	69 match 1 shared topics	Breiterbildung \| Deine Weiterbildung	Switzerland de	vocational-training WordPress WooCommerce	robotsllmsaihumans	emailphone	none
mediationslehrgang.at ↗	69 match 1 shared topics	Berufliche Weiterbildung & Ausbildung \| Bildungsforum	Austria de	vocational-training TYPO3	robotsllmsaihumans	emailphone	none
molaconsulting.eu ↗	69 match 1 shared topics	Six Sigma Weiterbildung \| Mola Consulting	European Union de	vocational-training WordPress	robotsllmsaihumans	emailphone	none
berit-schulen.ch ↗	69 match 1 shared topics	BERIT SCHULEN – MPA Ausbildung & Weiterbildung Zürich	Switzerland de	vocational-training WordPress WooCommerce	robots llmsaihumans	email phone	none
berit-exbit.ch ↗	69 match 1 shared topics	BERIT SCHULEN – MPA Ausbildung & Weiterbildung Zürich	Switzerland de	vocational-training WordPress WooCommerce	robots llmsaihumans	email phone	none
berit-schule.ch ↗	69 match 1 shared topics	BERIT SCHULEN – MPA Ausbildung & Weiterbildung Zürich	Switzerland de	vocational-training WordPress WooCommerce	robots llmsaihumans	email phone	none
agfam.ch ↗	68 match 1 shared topics	Fortbildung & Weiterbildung in Pharmazie - agfam	Switzerland de	vocational-training Jimdo	robotsllmsaihumans	emailphone	none
2coach.org ↗	68 match 1 shared topics	Weiterbildung für Trainer und Coachs	de	vocational-training	robotsllmsaihumans	emailphone	none
sp-unternehmerforum.de ↗	68 match 1 shared topics	Seminare, Weiterbildung & Lehrgang 2026/2027 \| S+P Seminare	Germany de	vocational-training WordPress	robotsllmsaihumans	emailphone	none
berufsbildner-gastgewerbe.ch ↗	68 match 1 shared topics	Weiterbildung in Hotellerie und Gastronomie	Switzerland de	vocational-training WordPress	robots llmsaihumans	emailphone	none
a-leecon.com ↗	68 match 1 shared topics	LEEON Advanced Learning \| Dein Partner für KI-Training und Weiterbildung	Germany~ de	vocational-training	robots llmsaihumans	emailphone	none
anschlagen.ch ↗	67 match 1 shared topics	Unser CZV Weiterbildungsangebot	Switzerland de	vocational-training Concrete5	robotsllmsaihumans	email phone	none
cdemy.dev ↗	67 match 1 shared topics	Umschulung, Weiterbildung, Softwareentwicklung \| cdemy	de	vocational-training	robotsllmsaihumans	emailphone	none
esb-academy.at ↗	67 match 1 shared topics	Eventmanagement Ausbildung in Wien und Linz - ESB Academy	Austria de	vocational-training 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.