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phase6 - Vokabeltraining und Grammatik passend zum Unterricht — 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
phase-6.de ↗	100 match 1 shared topics	phase6 - Vokabeltraining und Grammatik passend zum Unterricht	Germany de	language-learning	robotsllmsaihumans	emailphone	none
russisch-einfach-lernen.at ↗	66 match 1 shared topics	Russisch-Unterricht - ein weiterer Schritt zu Ihrem Erfolg	Austria de	language-learning	robotsllmsaihumans	email phone	none
nicholl.de ↗	65 match 1 shared topics	Englischunterricht mit qualifiziertem Native Speaker	Germany de	language-learning	robotsllmsaihumans	emailphone	none
sprach-training.at ↗	65 match 1 shared topics	Sprachtraining	Austria de	language-learning	robotsllmsaihumans	email phone	none
bestlanguage.at ↗	64 match 1 shared topics	Organisation von Sprachunterricht	Austria de	language-learning	robotsllmsaihumans	email phone	none
meet-and-speak.net ↗	64 match 1 shared topics	Meet and Speak - Englisch Training in Köln	de	language-learning	robotsllmsaihumans	emailphone	none
meetandspeak.net ↗	64 match 1 shared topics	Meet and Speak - Englisch Training in Köln	de	language-learning	robotsllmsaihumans	emailphone	none
homebasevienna.at ↗	64 match 1 shared topics	Deutsch lernen - Deutsch lernen und perfektionieren im Einzel- und Online-Training	Austria de	language-learning Jimdo	robotsllmsaihumans	emailphone	none
english4professionals.at ↗	64 match 1 shared topics	English 4 Professionals - Englischunterricht & Coaching - E4P.at	Austria de	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
nieland-niederlaendisch.de ↗	64 match 1 shared topics	Nieland-Sprachtraining: Englisch- und Niederländischkurse	Germany de	language-learning	robotsllmsaihumans	emailphone	none
nieland-englisch.de ↗	64 match 1 shared topics	Nieland-Sprachtraining: Englisch- und Niederländischkurse	Germany de	language-learning	robotsllmsaihumans	emailphone	none
ils-badhomburg.com ↗	64 match 1 shared topics	Effektives Sprachtraining an der Sprachschule Frankfurt	de	language-learning	robotsllmsaihumans	emailphone	none
nina-ostermann.de ↗	64 match 1 shared topics	Startseite - Nina Ostermann in Freiburg: Dolmetschen, Übersetzen, Sprachunterricht	Germany de	language-learning Jimdo	robotsllmsaihumans	emailphone	none
euroschool.at ↗	64 match 1 shared topics	::: EURO SCHOOL Sprachenschule Ute Padrevecchi - Sprachunterricht, Übersetzungen, Superlearning - Englisch, Italienisch, Spanisch ...:::	Austria de	language-learning	robotsllmsaihumans	emailphone	none
globaltraining.at ↗	64 match 1 shared topics	Globaltraining - Fremsprachentrainerin aus St. Andrä Wördern	Austria de	language-learning WordPress WooCommerce	robotsllmsaihumans	email phone	none
mbetranslations.com ↗	64 match 1 shared topics	MBET Training and Translations	de	language-learning	robotsllmsaihumans	emailphone	none
amandinebarra.ch ↗	63 match 1 shared topics	Amandine Barra · Französischunterricht Zürich	Switzerland de	language-learning	robotsllmsaihumans	emailphone	none
mikeseymour.com ↗	63 match 1 shared topics	www.mikeseymour.com - Corporate Language Training & Translation - Übersetzungen, Schulungen, Englisch	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.