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Machenlernen: Training und Coaching - Mirko Stojanovic Training — 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
crossmediacampus.de ↗	71 match 1 shared topics	AmmerseeAkademie - Coaching und Training	Germany de	vocational-training	robotsllmsaihumans	email phone	none
crossmedia-akademie.de ↗	71 match 1 shared topics	AmmerseeAkademie - Coaching und Training	Germany de	vocational-training	robotsllmsaihumans	email phone	none
beyond-training.online ↗	71 match 1 shared topics	Nicole Hinds – Ihre Expertin für Training und Coaching	de	vocational-training WordPress	robotsllmsaihumans	emailphone	none
nicolehinds.com ↗	71 match 1 shared topics	Nicole Hinds – Ihre Expertin für Training und Coaching	de	vocational-training WordPress	robotsllmsaihumans	emailphone	none
trainart.at ↗	70 match 1 shared topics	TrainArt® - Sozietät für Coaching, Training und Beratung	Austria de	vocational-training	robotsllmsaihumans	emailphone	none
telefonseminar.at ↗	69 match 1 shared topics	TRANINGER TRAINING® - Telefontraining und Verkaufstraining	Austria de	vocational-training WordPress	robotsllmsaihumans	emailphone	none
traninger.at ↗	69 match 1 shared topics	TRANINGER TRAINING® - Telefontraining und Verkaufstraining	Austria de	vocational-training WordPress	robotsllmsaihumans	emailphone	none
daniel-kagel.de ↗	69 match 1 shared topics	Daniel O. Kagel \| Training & Coaching für Verhandlung und Vertrieb	Germany de	vocational-training	robotsllmsaihumans	email phone	none
uml-trainer.at ↗	69 match 1 shared topics	UML Trainer \| Training, Consulting und Coaching für OOAD, Software-Entwicklung und Prozesse	Austria de	vocational-training	robotsllmsaihumans	emailphone	none
ctb-online.org ↗	69 match 1 shared topics	CTB - Training, Coaching und Beratung	de	vocational-training	robotsllmsaihumans	emailphone	none
agile.coach ↗	69 match 1 shared topics	Agile.Coach GmbH & Co. KG - Training & Coaching aus Berlin	de	vocational-training WordPress	robots llmsaihumans	emailphone	none
ctfoest.de ↗	69 match 1 shared topics	CT Foest - Coaching Training Foest"	Germany de	vocational-training	robotsllmsaihumans	emailphone	none
tsl-training.com ↗	68 match 1 shared topics	TSL Training - tsl-trainings Webseite!	de	vocational-training Jimdo	robotsllmsaihumans	emailphone	none
dacte.de ↗	68 match 1 shared topics	DACTE – Akademie für Coaching, Training und Entwicklung	Germany de	vocational-training WordPress	robotsllmsaihumans	email phone	none
danielstraetmans.de ↗	68 match 1 shared topics	Hier klicken für wirkungsvolles Verkaufstraining, Vertriebstraining und Führungskräftetraining. - Professionelles Vertriebstraining und Coaching - DS-Komptenztrainig	Germany de	vocational-training Jimdo	robotsllmsaihumans	emailphone	none
dagmarlansen.de ↗	68 match 1 shared topics	Dagmar Lansen \| Coaching + Training	Germany de	vocational-training WordPress WooCommerce	robotsllmsaihumans	emailphone	none
verkaufstrainer-verkaufstraining.com ↗	68 match 1 shared topics	Verkaufstrainer und Verkaufstraining & Tipps und Tricks	de	vocational-training WordPress	robotsllmsaihumans	emailphone	none
teachmevictory.at ↗	68 match 1 shared topics	Verkaufstraining & Business Coaching für starken Auftritt	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.