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Marketing & Verkauf Crashkurse Schweiz | Praxisnah & umsetzbar | Markus Gaab — 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
facedesign.ch ↗	66 match 1 shared topics	Make-up Artist Ausbildung Schweiz: Praxisnah und effektiv	Switzerland de	vocational-training WordPress WooCommerce	robotsllmsaihumans	email phone	none
heymann-academy.com ↗	66 match 1 shared topics	Heymann Academy — Praxisnahe Audiotechnik	de	vocational-training	robotsllmsaihumans	emailphone	none
pts-training.ch ↗	65 match 1 shared topics	Seminare in der Schweiz \| PTS	Switzerland de	vocational-training WordPress	robotsllmsaihumans	email phone	none
learngroow.info ↗	65 match 1 shared topics	Modernskill — Modern Skills Training Solution in der Schweiz	de	vocational-training	robotsllmsaihumans	email phone	none
marketing-trainer.ch ↗	65 match 1 shared topics	Marketing-Trainer - MAURO VEROLLA	Switzerland de	vocational-training WordPress	robotsllmsaihumans	emailphone	none
firetraining.ch ↗	65 match 1 shared topics	firetraining schweiz \| Schulung \| Schweiz	Switzerland de	vocational-training Wix Wix Stores	robots llmsaihumans	emailphone	none
medialer-lernweg.ch ↗	65 match 1 shared topics	Mediale Ausbildung 2027 in der Schweiz \| Medialer Lernweg	Switzerland de	vocational-training	robotsllmsaihumans	email phone	none
marketing-und-verkauf.ch ↗	65 match 1 shared topics	Schulung & Training für Verkauf, Kommunikation und Leadership	Switzerland de	vocational-training	robotsllmsaihumans	emailphone	none
simvendo.com ↗	64 match 1 shared topics	Sim:Vendo® Training & Simulation im Verkaufsprozess \| impuls!	de	vocational-training WordPress WooCommerce	robotsllmsaihumans	emailphone	none
blattner-consulting.ch ↗	64 match 1 shared topics	Blattner Training & Consulting – IT-Kurse für Beruf & Alltag	Switzerland de	vocational-training	robotsllmsaihumans	emailphone	none
blattner-training.ch ↗	64 match 1 shared topics	Blattner Training & Consulting – IT-Kurse für Beruf & Alltag	Switzerland de	vocational-training	robotsllmsaihumans	emailphone	none
kaeseracademy.ch ↗	64 match 1 shared topics	Käser Academy \| Offene Trainings für Führung & Vertrieb	Switzerland de	vocational-training WordPress WooCommerce	robotsllmsaihumans	emailphone	none
kaeser-academy.ch ↗	64 match 1 shared topics	Käser Academy \| Offene Trainings für Führung & Vertrieb	Switzerland de	vocational-training WordPress WooCommerce	robotsllmsaihumans	emailphone	none
die-coachbar.ch ↗	64 match 1 shared topics	Die Coachbar \| Christine Schaub, Uster	Switzerland de	vocational-training Concrete5	robotsllmsaihumans	emailphone	none
showixel.com ↗	64 match 1 shared topics	showixel.com – Programmierkurse in der Schweiz	de	vocational-training	robotsllmsaihumans	email phone	none
sibe-kurs-arbeitssicherheit.ch ↗	64 match 1 shared topics	Kurse Ausbildungen für Sicherheitsbeauftragter Sibe Schweiz	Switzerland de	vocational-training	robotsllmsaihumans	emailphone	none
deingruendercoaching.de ↗	64 match 1 shared topics	Florian Silbermann \| Weiterbildung & Beratung aus Bremen	Germany de	vocational-training WordPress	robotsllmsaihumans	emailphone	none
dasbit.de ↗	64 match 1 shared topics	Markus Maijohann	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.