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Arabisch Dolmetscher und Übersetzer in Duisburg und Umgebung — 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 Language Learning →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
jeyakumar.de ↗	69 match 1 shared topics	Navaratnam Jeyakumar \| Dolmetscher und Übersetzer	Germany de	language-learning WordPress	robotsllmsaihumans	emailphone	none
abc-olga.de ↗	68 match 1 shared topics	abc.Olga - Übersetzung & Dolmetschen Russisch-Deutsch	Germany de	language-learning	robotsllmsaihumans	emailphone	none
aldemerdash.de ↗	68 match 1 shared topics	Rami Aldemerdash - Vereidigter Übersetzer & Dolmetscher für Arabisch	Germany de	language-learning WordPress	robotsllmsaihumans	email phone	none
algeria.de ↗	68 match 1 shared topics	Dolmetscher Arabisch Deutsch Dresden	Germany de	language-learning	robotsllmsaihumans	emailphone	none
japan-translations.de ↗	68 match 1 shared topics	Übersetzerin & Dolmetscherin für Japanisch in Bonn	Germany de	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
a-hoi.com ↗	68 match 1 shared topics	Alexandra Hoi – Dolmetscherin und Übersetzerin	de	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
agatatrauer.de ↗	68 match 1 shared topics	Agata Trauer - Dolmetscher/Übersetzer	Germany de	language-learning	robotsllmsaihumans	emailphone	none
jamchit-hamza.de ↗	67 match 1 shared topics	Home - Jamchit Hamza Dolmetscher Arabisch Kurdisch	Germany de	language-learning Jimdo	robotsllmsaihumans	emailphone	none
alexandramichaelis.de ↗	67 match 1 shared topics	Übersetzerin, Dolmetscherin Alexandra Michaelis	Germany de	language-learning	robotsllmsaihumans	emailphone	none
albrecht-kawaji.de ↗	67 match 1 shared topics	Dolmetschen und Übersetzen Deutsch Japanisch Yumi Albrecht	Germany de	language-learning	robotsllmsaihumans	emailphone	none
job-tutor.de ↗	66 match 1 shared topics	Deutschkurse und Studienkolleg in Duisburg, Düsseldorf und Essen	Germany de	language-learning	robotsllmsaihumans	emailphone	none
all-about-words.de ↗	66 match 1 shared topics	ALL ABOUT WORDS, übersetzen, dolmetschen, Tamara Ferencak	Germany de	language-learning Wix	robots llmsaihumans	emailphone	none
italienisch123.de ↗	66 match 1 shared topics	Sprachtraining, Übersetzung, Dolmetschen \| PLANEO	Germany de	language-learning	robotsllmsaihumans	emailphone	none
allingua.de ↗	65 match 1 shared topics	Home - Allingua Dolmetscher Büro in Berlin	Germany de	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
japancenter.de ↗	65 match 1 shared topics	Kumiko Amann-Kikuchi - Dolmetscher - und �bersetzungsdienst f�r �bersetzungen von Japanisch/Englisch	Germany de	language-learning	robotsllmsaihumans	emailphone	none
als-translation.de ↗	65 match 1 shared topics	Amerikanisch-Englischer Sprachendienst in Bayern – Übersetzungen / Dolmetschen / Unterricht	Germany de	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
adria-sprachenservice.de ↗	65 match 1 shared topics	Übersetzen l Dolmetschen l Adria Sprachenservice / Adria Sprachenservice	Germany de	language-learning	robotsllmsaihumans	email phone	none
jessicamayer.de ↗	65 match 1 shared topics	叶 Jessica 溪 Aicher \| DIPLOM-VOLKSWIRTIN, DOLMETSCHERIN, STAATLICH GEPRÜFTE ÜBERSETZERIN FÜR CHINESISCH/DEUTSCH	Germany de	language-learning WordPress	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.