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BGM & Suchtprävention: Auffälligkeiten sicher ansprechen | Harald Frey — 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
natventure.net ↗	61 match 2 shared topics	Start - Natventure	de	vocational-training WordPress	robotsllmsaihumans	email phone	none
brainbirds.at ↗	61 match 2 shared topics	Weiterbildung: Führung, AI & Future Work \| Brainbirds	Austria de	vocational-training	robotsllmsaihumans	emailphone	none
ck-t.at ↗	61 match 2 shared topics	Clemens Kaltenberger Training – Führung \| Kommunikation \| Teambuilding \| Ausbildungsplanung	Austria de	vocational-training WordPress	robotsllmsaihumans	emailphone	none
feelgoodmanagerin.at ↗	60 match 2 shared topics	Feelgood Management und New Work - Feelgood Management Akademie	Austria de	vocational-training WordPress WooCommerce	robotsllmsaihumans	emailphone	none
kerstingtraining.com ↗	60 match 2 shared topics	Kerstingtraining	de	vocational-training	robotsllmsaihumans	emailphone	none
becker-tactics-training.com ↗	37 match 1 shared topics	Becker Tactics & Training \| Sicherheits- und Gewaltpräventionstrainings	de	vocational-training Wix	robots llmsaihumans	emailphone	none
akebu.net ↗	36 match 1 shared topics	Arbeitsschutz, Umweltschutz & Suchtprävention Niedersachsen – Beratung & Schulungen für Unternehmen	de	vocational-training WordPress	robotsllmsaihumans	email phone	none
winkelblick.com ↗	35 match 1 shared topics	winkelblick — Prävention, Schutzkonzepte & Schulung \| Minden	de	vocational-training Weebly	robotsllmsaihumans	emailphone	none
sprechgut.net ↗	34 match 1 shared topics	start - sprechgut	de	vocational-training WordPress	robotsllmsaihumans	emailphone	none
sprecher-akademie.net ↗	34 match 1 shared topics	Sprecher Ausbildung / Sprecherschule / Master & Bachelor Studium	de	vocational-training WordPress	robotsllmsaihumans	email phone	none
zoll-update.com ↗	33 match 1 shared topics	Zollverantwortlicher Ausbildung, Weiterbildung & Seminare	de	vocational-training	robotsllmsaihumans	emailphone	none
4everyoung.at ↗	33 match 1 shared topics	Startseite \| 4everyoung.at \| Tätigkeitsfelder \| Unser Angebot	Austria de	vocational-training WordPress WooCommerce	robotsllmsaihumans	emailphone	none
arch-thurner.at ↗	33 match 1 shared topics	Startseite \| 4everyoung.at \| Tätigkeitsfelder \| Unser Angebot	Austria de	vocational-training WordPress WooCommerce	robotsllmsaihumans	emailphone	none
brandschutz-thaler.at ↗	33 match 1 shared topics	Brandschutz Thaler GmbH - Ihr Ansprechpartner in Tirol	Austria de	vocational-training WordPress WooCommerce	robotsllmsaihumans	email phone	none
a-g-b.at ↗	33 match 1 shared topics	AGB \| Zentrum für Sicherheit	Austria de	vocational-training WordPress	robotsllmsaihumans	emailphone	none
akademie-des-sprechens.at ↗	33 match 1 shared topics	Akademie des Sprechens. Kompetenz wirkt.	Austria de	vocational-training	robotsllmsaihumans	emailphone	none
gerald-kern.at ↗	33 match 1 shared topics	Gerald Kern \| Trainer, Autor & Speaker	Austria de	vocational-training WordPress WooCommerce	robotsllmsaihumans	email phone	none
kernseminare.com ↗	33 match 1 shared topics	Gerald Kern \| Trainer, Autor & Speaker	de	vocational-training WordPress WooCommerce	robotsllmsaihumans	email phone	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.