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Bilingue. Relu et approuvé: Korrektorat/Lektorat | Correction/Relecture — 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
billingue.ch ↗	100 match 1 shared topics	Bilingue. Relu et approuvé: Korrektorat/Lektorat \| Correction/Relecture	Switzerland de	language-learning	robotsllmsaihumans	emailphone	none
b-weiner.de ↗	64 match 1 shared topics	Barbara Weiner Redaktion Lektorat Übersetzung	Germany de	language-learning	robotsllmsaihumans	emailphone	none
bernbilingue.ch ↗	64 match 1 shared topics	Zweisprachigkeit im Kanton Bern \| BERNbilingue	Switzerland de	language-learning	robotsllmsaihumans	emailphone	none
bruceturner.ch ↗	63 match 1 shared topics	englisch-korrekturlesen und -übersetzungen - Bruce Turner	Switzerland de	language-learning Jimdo	robotsllmsaihumans	emailphone	none
barthini.ch ↗	63 match 1 shared topics	FRANZÖSISCH— Nachhilfe, Prüfungsvorbereitung, Übersetzung, Lektorat, Privatunterricht — ELGG	Switzerland de	language-learning WordPress	robotsllmsaihumans	emailphone	none
b-japanische-schule.de ↗	63 match 1 shared topics	Bilingual Japanische Schule - Startseite	Germany de	language-learning	robotsllmsaihumans	emailphone	none
deutsch-portal.net ↗	63 match 1 shared topics	Deutsch als Fremdsprache - Erwachsenenbildung \| Cornelsen	Germany~ de	language-learning	robotsllmsaihumans	emailphone	none
deutsch-portal.com ↗	63 match 1 shared topics	Deutsch als Fremdsprache - Erwachsenenbildung \| Cornelsen	Germany~ de	language-learning	robotsllmsaihumans	emailphone	none
carolingua.ch ↗	62 match 1 shared topics	Hier dreht sich alles um Sprache \| carolingua	Switzerland de	language-learning WordPress WooCommerce	robotsllmsaihumans	email phone	none
deutsch-ungarisch.com ↗	62 match 1 shared topics	ungarisch übersetzung Willkommen bei Annamaria Vetesi, Trainerin für ungarisch, uebersetzungen, ungarisch unterricht, ungarisch korrekturlesen, an der VHS Salzburg	de	language-learning	robotsllmsaihumans	emailphone	none
a-ct.net ↗	62 match 1 shared topics	HomePage-DE - ¡ACT! Avance Communication & Translation	de	language-learning WordPress WooCommerce	robots llmsaihumans	emailphone	none
ascl.ch ↗	62 match 1 shared topics	Home - ASC Lingua	Switzerland de	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
articulate-english.com ↗	62 match 1 shared topics	Articulate Language Consultants - The Art of Successful Communication	de	language-learning	robotsllmsaihumans	emailphone	none
brambles.ch ↗	62 match 1 shared topics	Brambles	Switzerland de	language-learning	robotsllmsaihumans	emailphone	none
annakropp.com ↗	62 match 1 shared topics	Deutsch als Fremdsprache mit Anna Kropp – Deutsch lernen mit Anna Kropp	de	language-learning WordPress	robotsllmsaihumans	emailphone	none
deutschkurs.app ↗	62 match 1 shared topics	Deutschkurs für Anfänger	de	language-learning	robotsllmsaihumans	emailphone	none
def-trans-reisser.com ↗	62 match 1 shared topics	DEF-trans Reisser \| Sprachschule \| Übersetzungen \| Lektorat	de	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
sprachreisen-kanada.com ↗	62 match 1 shared topics	Sprachaufenthalt Kanada - Sprachreisen Boa Lingua	de	language-learning	robotsllmsaihumans	email phone	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.