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Authentische Kommunikation – Kommunikationstraining und NLP Kurse in Wien | PE Training Österreich — 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
git-training.at ↗	71 match 2 shared topics	Git Trainings in Wien, Österreich und Deutschland	Austria de	vocational-training	robotsllmsaihumans	emailphone	none
niemann-marketing.de ↗	66 match 2 shared topics	Moderation Coaching Training - MCT Niemann	Germany de	vocational-training WordPress	robotsllmsaihumans	emailphone	none
niemann-prinzip.de ↗	66 match 2 shared topics	Moderation Coaching Training - MCT Niemann	Germany de	vocational-training WordPress	robotsllmsaihumans	emailphone	none
shotworky.com ↗	65 match 2 shared topics	Shotworky.com – Professionelles Rhetorik- & Präsentationstraining	de	vocational-training	robotsllmsaihumans	email phone	none
onairly.net ↗	65 match 2 shared topics	Onairly.net – Rhetorik & Redetraining in Deutschland	de	vocational-training	robotsllmsaihumans	emailphone	none
opti-akademie.de ↗	65 match 2 shared topics	OPTI Akademie \| Webinare und Trainings für Optiker	Germany de	vocational-training WordPress WooCommerce	robotsllmsaihumans	email phone	none
shinneberg.com ↗	65 match 2 shared topics	Raum & Zeit für Rhetorik und Kommunikation im RedeRaum	de	vocational-training	robotsllmsaihumans	emailphone	none
hgtraining.at ↗	65 match 2 shared topics	HGTraining	Austria de	vocational-training	robotsllmsaihumans	emailphone	none
sprechen-und-stimme.at ↗	65 match 2 shared topics	Sprechen und Stimme in Wien	Austria de	vocational-training	robotsllmsaihumans	emailphone	none
nmtw.de ↗	65 match 2 shared topics	Sprechtraining Wien: Souverän auftreten und Wirkung erzielen	Germany de	vocational-training WordPress	robots llmsaihumans	emailphone	none
projektbuero.at ↗	65 match 2 shared topics	Projektbüro – Seminarräume, Forschung & Beratung in Wien	Austria de	vocational-training	robotsllmsaihumans	emailphone	none
nochbesserreden.de ↗	64 match 2 shared topics	Rhetorik & Sprechtraining - Michaela HornbostelRhetorik & Sprechtraining – Michaela Hornbostel	Germany de	vocational-training WordPress	robotsllmsaihumans	emailphone	none
crystal-rift.com ↗	64 match 2 shared topics	crystal-rift – Meisterkurse für öffentliches Sprechen in Deutschland	de	vocational-training	robotsllmsaihumans	emailphone	none
eisserer.com ↗	64 match 2 shared topics	Rhetoriktrainer und Motivationsredner - Jürgen Eisserer	de	vocational-training WordPress	robotsllmsaihumans	emailphone	none
showlynu.com ↗	64 match 2 shared topics	showlynu – Journalismus-Kurse in der Schweiz	de	vocational-training	robotsllmsaihumans	emailphone	none
klangmassage-therapie.at ↗	64 match 2 shared topics	Peter Hess Akademie \| Österreichisches Institut für Klang-Massage-Therapie	Austria de	vocational-training WordPress	robotsllmsaihumans	email phone	none
klang-massage-therapie.at ↗	64 match 2 shared topics	Peter Hess Akademie \| Österreichisches Institut für Klang-Massage-Therapie	Austria de	vocational-training WordPress	robotsllmsaihumans	email phone	none
nikeandersen.de ↗	64 match 2 shared topics	Nike Andersen \| Institut für Stimme. Sprache. Persönlichkeit.	Germany de	vocational-training WordPress WooCommerce	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.