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MoserTraining - Seminare und Coaching von Moser 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
moser-training.ch ↗	100 match 2 shared topics	MoserTraining - Seminare und Coaching von Moser Training	Switzerland de	vocational-training	robotsllmsaihumans	emailphone	none
mosertraining.ch ↗	100 match 2 shared topics	MoserTraining - Seminare und Coaching von Moser Training	Switzerland de	vocational-training	robotsllmsaihumans	emailphone	none
andrea-gierich.de ↗	70 match 2 shared topics	Andrea Gierich Seminare, Training und Einzelcoaching Andrea Gierich	Germany de	vocational-training WordPress	robotsllmsaihumans	emailphone	none
armbrecht-consulting.de ↗	70 match 2 shared topics	Michael Armbrecht \| Seminare, Training & Coaching	Germany de	vocational-training WordPress	robotsllmsaihumans	email phone	none
kurshalten.com ↗	69 match 2 shared topics	Wolf Training - Coaching - Mediation - Home	de	vocational-training	robotsllmsaihumans	emailphone	none
audible-thoughts.de ↗	69 match 2 shared topics	OCT ORZESSEK Coaching & Training \| Coaching und NLP-Training in Bremen	Germany de	vocational-training WordPress	robotsllmsaihumans	emailphone	none
anke-wagenschuetz.de ↗	68 match 2 shared topics	Anke Wagenschütz, Dipl. Sprechwissenschaftlerin - Training und Coaching	Germany de	vocational-training WordPress	robotsllmsaihumans	emailphone	none
lehre-schwab.com ↗	68 match 2 shared topics	PORTFOLIO - SUSANNE SCHWAB Lehre - Coaching - Training - Acting	de	vocational-training WordPress	robotsllmsaihumans	emailphone	none
annette-husten.de ↗	67 match 2 shared topics	Annette Husten — Coaching Mediation Training	Germany de	vocational-training	robotsllmsaihumans	emailphone	none
abenteuerstimme.com ↗	67 match 2 shared topics	Stimmtraining und Sprechcoaching vom Profi für alle Vielsprecher	de	vocational-training WordPress WooCommerce	robotsllmsaihumans	emailphone	none
automationinstitute.ch ↗	67 match 2 shared topics	Seminare für Fach- und Führungskräfte \| SEMINAR-INSTITUT	Switzerland de	vocational-training	robotsllmsaihumans	emailphone	none
overtones.info ↗	67 match 2 shared topics	Sprechtechnik, Stuttgart, stimmtraining, Sprechtraining Seminare, Stimmcoach, Sprechtraining,heiser, stimme trainieren, Reutlingen, Atmung, Stimme	de	vocational-training	robotsllmsaihumans	emailphone	none
annakuehn.de ↗	67 match 2 shared topics	Anna Kuehn Coaching	Germany de	vocational-training	robotsllmsaihumans	emailphone	none
daniela-langer-coaching.de ↗	67 match 2 shared topics	Daniela Langer Coaching - Stimmtraining für professionelle SprecherInnen	Germany de	vocational-training	robotsllmsaihumans	emailphone	none
anjagronewold.de ↗	67 match 2 shared topics	Anja Gronewold Training & Konzepte	Germany de	vocational-training	robotsllmsaihumans	emailphone	none
dehnen-dehnen-dehnen.de ↗	66 match 2 shared topics	Veronika Langguth – Training • Coaching • Mediation	Germany de	vocational-training WordPress WooCommerce	robotsllmsaihumans	email phone	none
anke-hagel.de ↗	66 match 2 shared topics	Startseite - Anke Hagel - Training, Coaching, Konfliktmoderation	Germany de	vocational-training Joomla	robotsllmsaihumans	emailphone	none
dagmar-holzwarth.de ↗	66 match 2 shared topics	Dagmar Holzwarth – Training. Coaching. Mediation.	Germany 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.