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DARC OV C14 – Deutscher Amateur-Radio-Club e.V. – Ortsverband Rosenheim — 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 Communication →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
amateurfunk-flensburg.de ↗	71 match 1 shared topics	Ortsverband M03 - Flensburg - Deutscher Amateur-Radio-Club e.V.Ortsverband M03 – Flensburg \| Deutscher Amateur-Radio-Club e.V.	Germany de	communication WordPress	robotsllmsaihumans	emailphone	none
darc-c20.de ↗	69 match 1 shared topics	DARC OV C20 Pfaffenwinkel \| Amateurfunk Deutscher Amateur Radio Club DARC	Germany de	communication WordPress	robotsllmsaihumans	emailphone	none
baysina.com ↗	63 match 1 shared topics	baysina – Dolmetscher chinesisch	de	communication WordPress WooCommerce	robotsllmsaihumans	email phone	none
arch-joint-vision.de ↗	63 match 1 shared topics	arch-joint-vision deutsch	Germany de	communication TYPO3	robotsllmsaihumans	emailphone	none
daniela-durso.de ↗	62 match 1 shared topics	Deutsch \| Englisch - Dolmetscherin & Übersetzerin	Germany de	communication Jimdo	robotsllmsaihumans	emailphone	none
dc7hs.de ↗	62 match 1 shared topics	amateurfunk	Germany de	communication	robotsllmsaihumans	emailphone	none
amateurfunk-osterode.de ↗	62 match 1 shared topics	Termine \| Amateurfunk Osterode	Germany de	communication WordPress	robotsllmsaihumans	emailphone	none
amiri-dolmetscherdienst.de ↗	62 match 1 shared topics	Amiri Dolmetscherdienst – Dolmetschen in Berlin & Brandenburg	Germany de	communication	robotsllmsaihumans	emailphone	none
die-dolmetscher.ch ↗	62 match 1 shared topics	AVL Dolmetscher – simultane und konsekutive Verdolmetschung in allen Fachbereichen	Switzerland de	communication	robotsllmsaihumans	emailphone	none
diedolmetscher.ch ↗	62 match 1 shared topics	AVL Dolmetscher – simultane und konsekutive Verdolmetschung in allen Fachbereichen	Switzerland de	communication	robotsllmsaihumans	emailphone	none
dr-zwak.com ↗	62 match 1 shared topics	Polnisch-Deutsch Dolmetscherin & Übersetzerin \| Dr. phil. Zwak \| Dr. Justyna Zwak Sprachdienste	de	communication	robotsllmsaihumans	emailphone	none
anita-glass.de ↗	62 match 1 shared topics	Übersetzungsbüro Anita Glass – Beeidigte Übersetzerin und Dolmetscherin	Germany de	communication WordPress	robotsllmsaihumans	emailphone	none
vivianavolpe.com ↗	61 match 1 shared topics	Viviana Volpe Dolmetscherin Übersetzerin	de	communication	robotsllmsaihumans	emailphone	none
anfr.de ↗	61 match 1 shared topics	m.anfr.de – Schon fast eine Seite	Germany de	communication WordPress	robotsllmsaihumans	emailphone	none
anja-garten.de ↗	61 match 1 shared topics	Anja Garten - Gebärdensprachdolmetscherin	Germany de	communication WordPress	robotsllmsaihumans	emailphone	none
ars-traducendi.de ↗	61 match 1 shared topics	die idee - ars traducendi - Übersetzungen und Dolmetschdienst deutsch - italienisch in Fürth bei Nürnberg	Germany de	communication	robotsllmsaihumans	emailphone	none
evelynfalke.com ↗	61 match 1 shared topics	Evelyn Falke – dialog.macht.erfolg	de	communication WordPress	robotsllmsaihumans	emailphone	none
andrea-doerges.de ↗	61 match 1 shared topics	Andrea Doerges - Translations - Übersetzungen - Englisch-Deutsch - English-German	Germany de	communication	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.