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arabdict | Dictionary, Translation, Vocabulary Trainer, Learn Language — 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
anja-kirchdoerfer.de ↗	68 match 1 shared topics	Anja K. Lee Translations	Germany de	language-learning	robotsllmsaihumans	emailphone	none
mbetranslations.com ↗	66 match 1 shared topics	MBET Training and Translations	de	language-learning	robotsllmsaihumans	emailphone	none
deutsch-gruppenkurse.de ↗	65 match 1 shared topics	Learn with Deutsch Gruppenkurse \| Language Fluency	Germany de	language-learning WordPress	robotsllmsaihumans	emailphone	none
bergmann-team.ch ↗	65 match 1 shared topics	Bergmann Team Biel/Bienne - Sprachen Langues Sprachkurse Übersetzungen Cours de langues Traductions Translation Proof reading	Switzerland de	language-learning	robotsllmsaihumans	emailphone	none
a-ct.net ↗	65 match 1 shared topics	HomePage-DE - ¡ACT! Avance Communication & Translation	de	language-learning WordPress WooCommerce	robots llmsaihumans	emailphone	none
deutsch-aktiv-sprachinstitut.de ↗	64 match 1 shared topics	Deutsch Aktiv language institute	Germany de	language-learning	robotsllmsaihumans	emailphone	none
albanianlanguage.net ↗	64 match 1 shared topics	The Albanian Language \| Robert Elsie	de	language-learning	robotsllmsaihumans	emailphone	none
languageanimation.org ↗	64 match 1 shared topics	Abenteuer Sprachanimation – Sprachanimation language animation animation linguistique animacją językową	de	language-learning WordPress	robotsllmsaihumans	emailphone	none
learninggerman.org ↗	64 match 1 shared topics	ENGLISCH - LEARNING GERMAN HAMBURG - Charlotte Trahms, Sprachschule für Fremdsprachen, Language school for foreign languages	de	language-learning Jimdo	robotsllmsaihumans	email phone	none
allaboutlanguages.ch ↗	64 match 1 shared topics	All about languages	Switzerland de	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
denise-hearns-translations.de ↗	64 match 1 shared topics	Übersetzerin Denise Hearns - HearnsTranslations - ÜBER MICH	Germany de	language-learning WordPress	robotsllmsaihumans	emailphone	none
articulate-english.de ↗	64 match 1 shared topics	Articulate Language Consultants - The Art of Successful Communication	Germany de	language-learning	robotsllmsaihumans	emailphone	none
languageaffairs.org ↗	64 match 1 shared topics	Center for Language Affairs – Learn how to speak German like a native speaker	de	language-learning WordPress	robotsllmsaihumans	emailphone	none
de-en.de ↗	64 match 1 shared topics	Translations – Deutsch – Englisch – Deutsch	Germany de	language-learning WordPress	robotsllmsaihumans	emailphone	none
ise-edu.ch ↗	63 match 1 shared topics	ISE – Language School	Switzerland de	language-learning WordPress	robotsllmsaihumans	emailphone	none
language-academy.net ↗	63 match 1 shared topics	Language Academy Lippstadt	de	language-learning	robotsllmsaihumans	emailphone	none
deutschakademie-engel.de ↗	63 match 1 shared topics	DeutschAkademie Engel \| Learn German in Austria	Germany de	language-learning	robotsllmsaihumans	emailphone	none
vokabla.com ↗	63 match 1 shared topics	Vokabla App: Dein Spanisch-Trainer für Vokabeln & Konjugationen	de	language-learning	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.