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Siebenmarketing Torsten Pyzalski – Trainer, Coach, Dozent - SIEBENMARKETING – Vitamine für Ihren Erfolg — 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
sieben-marketing.com ↗	100 match 2 shared topics	Siebenmarketing Torsten Pyzalski – Trainer, Coach, Dozent - SIEBENMARKETING – Vitamine für Ihren Erfolg	de	vocational-training WordPress WooCommerce	robotsllmsaihumans	emailphone	none
freiraum-beratung.ch ↗	64 match 2 shared topics	André Beyeler - Beratung, Coaching, Training	Switzerland de	vocational-training Squarespace Magento	robotsllmsaihumans	emailphone	none
britta-maier.com ↗	63 match 2 shared topics	Britta Maier Supervision Coaching Training	de	vocational-training WordPress WooCommerce	robotsllmsaihumans	emailphone	none
bendinger.at ↗	63 match 2 shared topics	Stefan Bendinger – Supervison, Mediation, Coaching, Erlebnispädagogik und Outdoortraining	Austria de	vocational-training WordPress	robotsllmsaihumans	emailphone	none
andreasloidl.at ↗	62 match 2 shared topics	Andreas Loidl - Supervision, Beratung, Training	Austria de	career-advice	robotsllmsaihumans	email phone	none
carolin-schmidt.com ↗	62 match 2 shared topics	Carolin Schmidt – Auftrittskompetenz I Trainerin für Führungskräfte I Kommunikations- & Interviewtraining I Interaktive Simulation für souveräne Gesprächsführung I Überzeugende Selbstpräsentation, Bewerbungstraining, AC-Vorbereitung I 3D-Mentoring – Be A ChangeMaker Methode	de	career-advice WordPress	robotsllmsaihumans	emailphone	none
siang-mien.com ↗	61 match 2 shared topics	Startseite Caroline Nitsch Gesichtslesen Face Reading Personal Körpersprache Seminare Coaching	de	career-advice WordPress	robotsllmsaihumans	emailphone	none
floki-gmbh.com ↗	61 match 2 shared topics	FLOKI GmbH - HOMEPAGE	de	career-advice	robotsllmsaihumans	emailphone	none
ausbildercoach.at ↗	61 match 2 shared topics	EWIRA - gemeinsam sich entwickeln	Austria de	vocational-training	robotsllmsaihumans	emailphone	none
alfredfellinger.at ↗	61 match 2 shared topics	Alfred Fellinger	Austria de	vocational-training	robotsllmsaihumans	emailphone	none
arge-lsb.at ↗	60 match 2 shared topics	Home - ARGE-LSB	Austria de	vocational-training WordPress	robotsllmsaihumans	emailphone	none
fm-guide.ch ↗	35 match 1 shared topics	fm-guide – Teaching – Coaching – Training	Switzerland de	vocational-training WordPress	robotsllmsaihumans	emailphone	none
2coach.org ↗	35 match 1 shared topics	Weiterbildung für Trainer und Coachs	de	vocational-training	robotsllmsaihumans	emailphone	none
doma-consulting.ch ↗	35 match 1 shared topics	DOMA Consulting & Marketing GmbH	Switzerland de	career-advice	robotsllmsaihumans	emailphone	none
silkeboeffel.com ↗	35 match 1 shared topics	Training und Coaching für technische Verkäufer - Silke Boeffel	de	vocational-training WordPress WooCommerce	robotsllmsaihumans	emailphone	none
alice-markus.at ↗	34 match 1 shared topics	Alice Markus \| Alice Markus Trojer \| Dipl. Coach & Customer Service Trainer	Austria de	vocational-training	robotsllmsaihumans	emailphone	none
ads-luzern.ch ↗	34 match 1 shared topics	ADHS Coaching & provokative Beratung – Aufschieben im Griff	Switzerland de	career-advice WordPress	robotsllmsaihumans	email phone	none
trainerklub.com ↗	34 match 1 shared topics	Trainerklub: Weiterbildung, Erfahrungsaustausch Plattform Trainer Coaches	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.