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Frank Partey - Frank Partey — 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
liebhart-training.at ↗	65 match 1 shared topics	Vock & Liebhart GmbH - Alles für den Kundendienst	Austria de	vocational-training	robotsllmsaihumans	emailphone	none
goldegg-training.at ↗	64 match 1 shared topics	Goldegg Training \| Buch-, Medien- und Verlagsakademie	Austria de	vocational-training WordPress	robotsllmsaihumans	emailphone	none
eleonorefranzl.ch ↗	64 match 1 shared topics	Eleonore Franzl - Fasziniert von Bildung	Switzerland de	vocational-training WordPress WooCommerce	robotsllmsaihumans	emailphone	none
w-vwa.de ↗	64 match 1 shared topics	Württembergische VWA in Stuttgart	Germany de	vocational-training WordPress	robotsllmsaihumans	emailphone	none
faxservices.at ↗	64 match 1 shared topics	Learniverse World - KI für Weiterbildung, Karriere und Bewerbungstraining	Austria de	vocational-training WordPress	robots llmsaihumans	emailphone	none
immereineloesung.at ↗	64 match 1 shared topics	Learniverse World - KI für Weiterbildung, Karriere und Bewerbungstraining	Austria de	vocational-training WordPress	robots llmsaihumans	emailphone	none
eke.at ↗	64 match 1 shared topics	TFBS eke \| Tiroler Fachberufsschule für Elektrotechnik, Kommunikation und Elektronik \| Startseite	Austria de	vocational-training	robotsllmsaihumans	emailphone	none
coach24.ch ↗	64 match 1 shared topics	coach24 - aktuelles Wissen und Können	Switzerland de	vocational-training	robotsllmsaihumans	emailphone	none
emg-akademie.at ↗	64 match 1 shared topics	EMG Akademie \| Gesundheit, Pflege, Soziales	Austria de	vocational-training WordPress WooCommerce	robotsllmsaihumans	email phone	none
borraesther.ch ↗	64 match 1 shared topics	EBW, Entwicklung, Beratung, Weiterbildung, Esther Borra-Wegmann - Startseite	Switzerland de	vocational-training	robotsllmsaihumans	emailphone	none
parttraining.at ↗	64 match 1 shared topics	Startseite - PART-Training GmbH	Austria de	vocational-training WordPress	robotsllmsaihumans	emailphone	none
nlp-seminare-frankfurt.de ↗	64 match 1 shared topics	NLP Coaching Ausbildung - im Herzen von Frankfurt	Germany de	vocational-training WordPress WooCommerce	robotsllmsaihumans	emailphone	none
elowi.ch ↗	64 match 1 shared topics	ELOWI – Lernplattform für Elektromonteure	Switzerland de	vocational-training	robots llmsaihumans	emailphone	none
mk-forum.com ↗	64 match 1 shared topics	NLP Coaching Ausbildung - im Herzen von Frankfurt	de	vocational-training WordPress WooCommerce	robotsllmsaihumans	emailphone	none
chemiewehrschule.ch ↗	64 match 1 shared topics	FCWS - Friderich Chemiewehrschule	Switzerland de	vocational-training	robotsllmsaihumans	email phone	none
eifk.com ↗	64 match 1 shared topics	www.eifk.com \| Europäisches Institut für angewandtes Kundenmanagement – Wir bringen den Kunden in Ihr Unternehmen	de	vocational-training WordPress WooCommerce	robotsllmsaihumans	emailphone	none
pilzacademy.at ↗	64 match 1 shared topics	PILZ Academy - Schulungen zur Maschinensicherheit	Austria de	vocational-training WordPress	robots llmsaihumans	emailphone	none
office-coach.net ↗	63 match 1 shared topics	Für Einsteiger, Aufsteiger und Umsteiger - Computer-Studio, Schattdorf / Uri	de	vocational-training Jimdo	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.