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David Wills - emTrace®-Lehrtrainer, Coach Mimikresonanz®-Trainer — 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
de-ko-trainer.de ↗	66 match 1 shared topics	Sebastian Kern De-Ko Trainer - de-ko-trainers Webseite!	Germany de	vocational-training Jimdo	robotsllmsaihumans	emailphone	none
danielhogen.de ↗	65 match 1 shared topics	Trainer & Coach für emotionale Intelligenz & Resilienz	Germany de	vocational-training WordPress WooCommerce	robotsllmsaihumans	emailphone	none
antimobbing.training ↗	65 match 1 shared topics	AntimobbingTrainer.de - Ihre Ausbildug zum Anti-Mobbing-Trainer	de	vocational-training	robotsllmsaihumans	email phone	none
trainart.at ↗	65 match 1 shared topics	TrainArt® - Sozietät für Coaching, Training und Beratung	Austria de	vocational-training	robotsllmsaihumans	emailphone	none
bailer-live.coach ↗	64 match 1 shared topics	bailer-live.coach - Ihr Coaching im Herzen Münchens - Home	de	vocational-training	robotsllmsaihumans	emailphone	none
2coach.org ↗	64 match 1 shared topics	Weiterbildung für Trainer und Coachs	de	vocational-training	robotsllmsaihumans	emailphone	none
reginamittendick.at ↗	64 match 1 shared topics	Mag. Regina Mittendick - Index - Trainerin für Berufsorientierung, Kommunikation und Wirtschaft, Systemische Coachin	Austria de	vocational-training	robotsllmsaihumans	emailphone	none
vatoe.at ↗	64 match 1 shared topics	Assistenzhundetrainer werden - Assistenzhundetrainer Lehrgang	Austria de	vocational-training Jimdo	robotsllmsaihumans	emailphone	none
beyond-training.online ↗	64 match 1 shared topics	Nicole Hinds – Ihre Expertin für Training und Coaching	de	vocational-training WordPress	robotsllmsaihumans	emailphone	none
uml-trainer.at ↗	64 match 1 shared topics	UML Trainer \| Training, Consulting und Coaching für OOAD, Software-Entwicklung und Prozesse	Austria de	vocational-training	robotsllmsaihumans	emailphone	none
trainerausbildung-wien.at ↗	64 match 1 shared topics	Fachtrainer Lehrgang Wien Niederösterreich \| Train the Trainer	Austria de	vocational-training WordPress	robotsllmsaihumans	emailphone	none
traineenet.at ↗	64 match 1 shared topics	TraineeNet	Austria de	vocational-training WordPress	robots llmsaihumans	emailphone	none
trainertogo.at ↗	64 match 1 shared topics	Willkommen - Ihr Trainer to go	Austria de	vocational-training Jimdo	robotsllmsaihumans	emailphone	none
designthinkingcoach.de ↗	64 match 1 shared topics	Design Thinking Coach Academy	Germany de	vocational-training WordPress WooCommerce	robotsllmsaihumans	emailphone	none
verkaufstrainer-verkaufstraining.com ↗	64 match 1 shared topics	Verkaufstrainer und Verkaufstraining & Tipps und Tricks	de	vocational-training WordPress	robotsllmsaihumans	emailphone	none
teachmevictory.at ↗	64 match 1 shared topics	Verkaufstraining & Business Coaching für starken Auftritt	Austria de	vocational-training WordPress	robotsllmsaihumans	emailphone	none
ctfoest.de ↗	64 match 1 shared topics	CT Foest - Coaching Training Foest"	Germany de	vocational-training	robotsllmsaihumans	emailphone	none
tundn.com ↗	64 match 1 shared topics	TuN - Trainer & Networker UG Hamburg - SAP Training, Beratung und Seminare	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.