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Familienstellen, Mannheim, Heidelberg, Familienaufstellung — 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
heilpferde.com ↗	64 match 1 shared topics	HeilpferdeFamilie - heilpferde	de	vocational-training WordPress	robotsllmsaihumans	emailphone	none
cumart.tech ↗	64 match 1 shared topics	Cumart · HEIDENHAIN verstehen.	de	vocational-training	robotsllmsaihumans	emailphone	none
feuerwehr-ausbildung.com ↗	63 match 1 shared topics	Feuerwehr-Ausbildung 112: Bewerbung, Einstellungstest, Karriere – feuerwehr-ausbildung.com	de	vocational-training Shopware	robotsllmsaihumans	emailphone	none
ffak.org ↗	63 match 1 shared topics	Der Freiburger Familientherapeutische Arbeitskreis - FFAK Freiburg	de	vocational-training WordPress WooCommerce	robotsllmsaihumans	email phone	none
as-arbeitssicherheit.de ↗	63 match 1 shared topics	Arbeitsschutz AS - Arbeitssicherheit Habelsee, Rothenburg, Bad Windsheim, Nürnberg, Würzburg	Germany de	vocational-training	robotsllmsaihumans	email phone	none
katja-coenen-loehr.com ↗	63 match 1 shared topics	Katja Cönen-Löhr \| Workshops • Prüfungsvorbereitung • Coaching	de	vocational-training	robotsllmsaihumans	emailphone	none
academy-team-u.de ↗	63 match 1 shared topics	Team U Academy \| Beratung, Förderung & Weiterbildung	Germany de	vocational-training HubSpot	robotsllmsaihumans	emailphone	none
anqa-institut.com ↗	63 match 1 shared topics	Resilienz, Interkulturelle Kompetenz, Kommunikation \| Anqa Institut	de	vocational-training WordPress	robotsllmsaihumans	emailphone	none
enzgroup-akademie.ch ↗	63 match 1 shared topics	Enz Group Akademie - dein Zuhause für Aus- und Weiterbildung	Switzerland de	vocational-training WordPress	robotsllmsaihumans	emailphone	none
bartsch-training.de ↗	63 match 1 shared topics	Die besten Methoden im Bartsch Training für effektivere Verhandlungen	Germany de	vocational-training WordPress	robotsllmsaihumans	emailphone	none
cepta.ch ↗	63 match 1 shared topics	Meine Willkommens-Seite, wo ich mich kurz vorstelle	Switzerland de	vocational-training WordPress	robotsllmsaihumans	emailphone	none
berufsbildung-oberaargau.ch ↗	63 match 1 shared topics	Startseite \| Verein Berufsbildung Oberaargau	Switzerland de	vocational-training	robotsllmsaihumans	emailphone	none
effectiva.ch ↗	63 match 1 shared topics	Advocacy - für nachhaltig positive Veränderungen - E F F E C T I V A	Switzerland de	vocational-training WordPress WooCommerce	robotsllmsaihumans	emailphone	none
deborahheiss.com ↗	63 match 1 shared topics	Kommunikations- und Verkaufstraining - Deborah Heiss	de	vocational-training	robotsllmsaihumans	emailphone	none
heidi-winsauer.com ↗	63 match 1 shared topics	Heidi Winsauer - Professionelles Kommunikations-Training	de	vocational-training WordPress	robotsllmsaihumans	emailphone	none
heidiwinsauer.com ↗	63 match 1 shared topics	Heidi Winsauer - Professionelles Kommunikations-Training	de	vocational-training WordPress	robotsllmsaihumans	emailphone	none
rescuecare.app ↗	63 match 1 shared topics	Rescue Care \| Digitale Trainingsplattform fuer Rettungsdienste	de	vocational-training	robotsllmsaihumans	emailphone	none
esg-reporting.org ↗	62 match 1 shared topics	European Sustainability Reporting Academy (ESRA	de	vocational-training WordPress WooCommerce	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.