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Sprechtraining Wien: Souverän auftreten und Wirkung erzielen — 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
sprechen-und-stimme.at ↗	68 match 2 shared topics	Sprechen und Stimme in Wien	Austria de	vocational-training	robotsllmsaihumans	emailphone	none
git-training.at ↗	66 match 2 shared topics	Git Trainings in Wien, Österreich und Deutschland	Austria de	vocational-training	robotsllmsaihumans	emailphone	none
nochbesserreden.de ↗	66 match 2 shared topics	Rhetorik & Sprechtraining - Michaela HornbostelRhetorik & Sprechtraining – Michaela Hornbostel	Germany de	vocational-training WordPress	robotsllmsaihumans	emailphone	none
mellow-lynum.com ↗	65 match 2 shared topics	Mellow Lynum – Mit Stimme und Präsenz zum überzeugenden Auftritt	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
pe-training.at ↗	65 match 2 shared topics	Authentische Kommunikation – Kommunikationstraining und NLP Kurse in Wien \| PE Training Österreich	Austria de	vocational-training WordPress WooCommerce	robotsllmsaihumans	email phone	none
niemann-marketing.de ↗	64 match 2 shared topics	Moderation Coaching Training - MCT Niemann	Germany de	vocational-training WordPress	robotsllmsaihumans	emailphone	none
niemann-prinzip.de ↗	64 match 2 shared topics	Moderation Coaching Training - MCT Niemann	Germany de	vocational-training WordPress	robotsllmsaihumans	emailphone	none
medientraining.tv ↗	64 match 2 shared topics	Schwinges Medientraining \| Interviewen & Interviews geben	de	vocational-training	robotsllmsaihumans	emailphone	none
interviewtraining.eu ↗	64 match 2 shared topics	Schwinges Medientraining \| Interviewen & Interviews geben	European Union de	vocational-training	robotsllmsaihumans	emailphone	none
einfachgluecklich.at ↗	64 match 2 shared topics	EINFACH.GLÜCKLICH \| Trainings und Workshops für Alltag und Beruf	Austria de	vocational-training Wix	robots llmsaihumans	emailphone	none
hgtraining.at ↗	64 match 2 shared topics	HGTraining	Austria de	vocational-training	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
nikeandersen.de ↗	64 match 2 shared topics	Nike Andersen \| Institut für Stimme. Sprache. Persönlichkeit.	Germany de	vocational-training WordPress WooCommerce	robots llmsaihumans	emailphone	none
gutgebruellttiger.com ↗	63 match 2 shared topics	Gut gebrüllt, Tiger – Training für Stimme, Rhetorik und Präsentationen	de	vocational-training WordPress	robotsllmsaihumans	emailphone	none
philiptraining.com ↗	63 match 2 shared topics	PhilipTraining – Professionelle Seminare	de	vocational-training WordPress WooCommerce	robotsllmsaihumans	email phone	none
mediastarpress.org ↗	63 match 2 shared topics	Mediastarpress	de	vocational-training	robotsllmsaihumans	emailphone	none
eisserer.com ↗	63 match 2 shared topics	Rhetoriktrainer und Motivationsredner - Jürgen Eisserer	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.