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Effektives Training für Kommunikation und Vertrieb Marc-Ulrich Lech — 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
institut-fuer-medientraining.de ↗	72 match 1 shared topics	DIKT Deutsches Institut für Kommunikations- und Medientraining	DE de	vocational-training WordPress	robotsllmsaihumans	email phone	none
angela-kaltenbrunner.at ↗	70 match 1 shared topics	Seminar Kommunikation Training Persönlichkeit	AT de	vocational-training WordPress	robotsllmsaihumans	emailphone	none
act4ward.at ↗	70 match 1 shared topics	Training für effektives Konfliktmanagement - act4ward	AT de	vocational-training WordPress	robots llmsaihumans	emailphone	none
kuechen-verkaufstrainer.de ↗	70 match 1 shared topics	Bernd Wurzinger - Kommunikationstrainer	DE de	vocational-training	robotsllmsaihumans	emailphone	none
kundenservicetrainer.de ↗	70 match 1 shared topics	Frank Thiel \| Trainer für Kommunikation & Kundenkontakt	DE de	vocational-training WordPress	robotsllmsaihumans	email phone	none
hillmedia-training.de ↗	70 match 1 shared topics	Hill Media Training - Medientraining & Kommunikation	DE de	vocational-training	robotsllmsaihumans	email phone	none
ad-ucation.com ↗	70 match 1 shared topics	ad-ucation - Coaching & Training	de	vocational-training WordPress	robotsllmsaihumans	emailphone	none
lumina-spire.com ↗	69 match 1 shared topics	Lumina Spire – Starke Kommunikationstraining für nachhaltigen Geschäftserfolg	de	vocational-training	robotsllmsaihumans	emailphone	none
hoeckernetworks.de ↗	69 match 1 shared topics	MindShift Coaching ein innovatives Kommunikationstraining	DE de	vocational-training WordPress	robotsllmsaihumans	emailphone	none
joerg-training.de ↗	69 match 1 shared topics	Andrea Jörg - Verkaufstraining für Bäckerei, Metzgerei und Frühstücksservice, Beratung, Kommunikation&Management	DE de	vocational-training	robotsllmsaihumans	emailphone	none
unter3.com ↗	69 match 1 shared topics	unter3 \| Medien - TRAINING - Kommunikation	de	vocational-training WordPress	robotsllmsaihumans	emailphone	none
kit-training.de ↗	69 match 1 shared topics	KIT \| Kommunikation & IT-Training Services	DE de	vocational-training WordPress	robotsllmsaihumans	emailphone	none
kr-verkaufstraining.de ↗	69 match 1 shared topics	Coaching und Training	DE de	vocational-training	robots llmsaihumans	emailphone	none
jschaefer-training.de ↗	68 match 1 shared topics	Jürgen Schäfer Training für Höhen und Tiefen	DE de	vocational-training	robots llmsaihumans	emailphone	none
kaeser-academy.de ↗	68 match 1 shared topics	Käser Academy \| Offene Trainings für Führung & Vertrieb	DE de	vocational-training WordPress WooCommerce	robotsllmsaihumans	emailphone	none
gyger-training.de ↗	68 match 1 shared topics	Zielgerechtes Training und Coaching - Dr. Markus Gyger	DE de	vocational-training WordPress WooCommerce	robotsllmsaihumans	emailphone	none
kommunikation-ohne-worte.de ↗	68 match 1 shared topics	Home "Kommunikation ohne Worte - KoW®" - Körpersprache-Training	DE de	vocational-training WordPress WooCommerce	robotsllmsaihumans	emailphone	none
negotiation-academy.com ↗	68 match 1 shared topics	Meisterhaft Verhandeln \| Verhandlungstraining für Unternehmen	de	vocational-training Wix	robots llmsaihumans	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.