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Dialekt und anderes - Franz Lanthaler — 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
bairische-sprache.at ↗	66 match 1 shared topics	Bairische Sprache - Mundarten und Dialekte	Austria de	language-learning	robotsllmsaihumans	emailphone	none
frauenausallenlaendern.org ↗	63 match 1 shared topics	Angebote Frauen aus allen Ländern - Frauen aus allen Ländern	de	language-learning WordPress	robotsllmsaihumans	email phone	none
aaa-uebersetzung.com ↗	63 match 1 shared topics	AAA-Uebersetzungen - Deutsch - Französisch / English to French	de	language-learning	robotsllmsaihumans	emailphone	none
frankfurtparis.com ↗	63 match 1 shared topics	Frankfurt Paris \| Deutsch Französische Zusammenarbeit in Frankfurt	de	language-learning WordPress	robotsllmsaihumans	emailphone	none
vivilingua.online ↗	63 match 1 shared topics	Vivi Lingua – Spanisch lernen, das sich anders anfühlt	de	language-learning Wix	robotsllmsaihumans	emailphone	none
deutschkurse-frankfurt.com ↗	62 match 1 shared topics	Deutschkurse \| ZDSK \| Tandem Frankfurt	de	language-learning Wix	robotsllmsaihumans	emailphone	none
vokabeltrainer-online.net ↗	62 match 1 shared topics	Kostenloser Online Vokabeltrainer 11 Sprachen, Englisch, Latein, Französisch, Spanisch, Italienisch, Russisch, Kroatisch, Türkisch, Japanisch, Chinesisch und Portugiesisch.	de	language-learning	robotsllmsaihumans	emailphone	none
deutsch-portugiesisch.com ↗	62 match 1 shared topics	Sprachkurse DE > PT – Portugiesisch mit Text und Audio lernen	de	language-learning WordPress	robotsllmsaihumans	emailphone	none
francemobil.org ↗	62 match 1 shared topics	FranceMobil	de	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
native4kids.com ↗	62 match 1 shared topics	Englischkurse für Kinder \| Wien, Graz, Linz, Salzburg und Innsbruck	Austria~ de	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
mybusiness-deutschkurs.com ↗	62 match 1 shared topics	mybusiness-deutschkurs - Language-Home	de	language-learning	robotsllmsaihumans	emailphone	none
fradirep.org ↗	62 match 1 shared topics	Frankfurterisch: Die Frankfurter Stadtmundart	de	language-learning	robotsllmsaihumans	emailphone	none
frankfurterisch.org ↗	62 match 1 shared topics	Frankfurterisch: Die Frankfurter Stadtmundart	de	language-learning	robotsllmsaihumans	emailphone	none
friesisch.net ↗	62 match 1 shared topics	Friesisch.net: der digitale Übersetzer zwischen Deutsch und Friesisch	de	language-learning	robotsllmsaihumans	emailphone	none
kim-wegener.com ↗	62 match 1 shared topics	Kim Wegener - Englisch Sprachtraining und Coaching	de	language-learning WordPress WooCommerce	robotsllmsaihumans	email phone	none
deutschkurse-in-stuttgart.com ↗	62 match 1 shared topics	Intensive Deutschkurse in Stuttgart: Geschäftsdeutsch und Deutsch als Fremdsprache	de	language-learning	robotsllmsaihumans	emailphone	none
akademiedeutschinfoundtraining.com ↗	62 match 1 shared topics	Deutsch Info und Training	de	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
meet-and-speak.net ↗	62 match 1 shared topics	Meet and Speak - Englisch Training in Köln	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.