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Sites similar to dec-paderborn.de

Dec Paderborn alternatives & similar sites

Deutsch-Englischer Club Paderborn | Anglo-German Club — 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
def-oe.de ↗	70 match 1 shared topics	"Welcome" beim Deutsch-Englischen-Freundeskreis in OE.	Germany de	language-learning Joomla	robotsllmsaihumans	emailphone	none
anglo-german-institute.de ↗	68 match 1 shared topics	Sprachschule Stuttgart \| agi anglo-german institute	Germany de	language-learning	robotsllmsaihumans	emailphone	none
anglogerman.de ↗	68 match 1 shared topics	Sprachschule Stuttgart \| agi anglo-german institute	Germany de	language-learning	robotsllmsaihumans	emailphone	none
internatioallanguageschool.ch ↗	66 match 1 shared topics	Sprachschule Bern \| Deutsch, Französisch, Englisch \| ILS-Bern	Switzerland de	language-learning WordPress	robotsllmsaihumans	emailphone	none
languageschoolbern.ch ↗	66 match 1 shared topics	Sprachschule Bern \| Deutsch, Französisch, Englisch \| ILS-Bern	Switzerland de	language-learning WordPress	robotsllmsaihumans	emailphone	none
arabischdeutsch.de ↗	66 match 1 shared topics	Diplom Übersetzerin in Köln für Arabisch, Deutsch und Englisch	Germany de	language-learning	robotsllmsaihumans	emailphone	none
dai-tuebingen.de ↗	66 match 1 shared topics	Deutsch-Amerikanisches Institut Tübingen \| d.a.i.	Germany de	language-learning WordPress	robots llmsaihumans	email phone	none
dafkurse.de ↗	66 match 1 shared topics	German Courses in Munich Deutschkurse in München	Germany de	language-learning	robotsllmsaihumans	emailphone	none
languageschoolzuerich.ch ↗	66 match 1 shared topics	Nachhilfe Deutsch, Englisch, Gymivorbereitung in Zürich	Switzerland de	language-learning WordPress	robotsllmsaihumans	emailphone	none
def-kurse.de ↗	66 match 1 shared topics	Deutsch-, Englisch- und Französischkurse	Germany de	language-learning	robotsllmsaihumans	emailphone	none
altphilologenverband.de ↗	66 match 1 shared topics	Deutscher Altphilologenverband	Germany de	language-learning Joomla	robotsllmsaihumans	emailphone	none
anja-kick.de ↗	66 match 1 shared topics	Anja Kick \| Übersetzerin in Chemnitz \| Englisch \| Spanisch \| Deutsch - Startseite	Germany de	language-learning Joomla	robotsllmsaihumans	emailphone	none
anagrammgenerator.de ↗	65 match 1 shared topics	Anagramm-Generator in deutscher Sprache	Germany de	language-learning	robotsllmsaihumans	emailphone	none
etranslationservice.com ↗	65 match 1 shared topics	Englisch-Deutsch Übersetzer \| Panorama Languages	de	language-learning WordPress WooCommerce	robots llms aihumans	emailphone	none
beem-online.com ↗	65 match 1 shared topics	Beem Uebersetzungen \| Niederländisch - Deutsch	de	language-learning	robotsllmsaihumans	emailphone	none
bilderbuch-theaterwerkstatt.ch ↗	65 match 1 shared topics	Berndeutschkurs und Bücher	Switzerland de	language-learning	robotsllmsaihumans	emailphone	full · 16
de-en.de ↗	65 match 1 shared topics	Translations – Deutsch – Englisch – Deutsch	Germany de	language-learning WordPress	robotsllmsaihumans	emailphone	none
de2en.de ↗	65 match 1 shared topics	beglaubigte übersetzung fuehrungszeugnis englisch	Germany 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.