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Schönegger-Zanoni Sprachdienstleistungen KG - Wien — 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
allround.bayern ↗	65 match 1 shared topics	Home VON DER LÜHE Übersetzungen – allround Fremdsprachen GmbH Berlin	de	language-learning	robotsllmsaihumans	email phone	none
allround.berlin ↗	65 match 1 shared topics	Home VON DER LÜHE Übersetzungen – allround Fremdsprachen GmbH Berlin	de	language-learning	robotsllmsaihumans	email phone	none
meinsprachclub.com ↗	64 match 1 shared topics	Nachhilfe in Kleinstgruppen – Persönlich & Effektiv \| MeinSprachClub	de	language-learning Weebly WooCommerce	robotsllmsaihumans	email phone	none
deutsche-sprache.com ↗	64 match 1 shared topics	Deutsche Sprache	de	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
deutschkurse-in-stuttgart.com ↗	64 match 1 shared topics	Intensive Deutschkurse in Stuttgart: Geschäftsdeutsch und Deutsch als Fremdsprache	de	language-learning	robotsllmsaihumans	emailphone	none
distler.net ↗	64 match 1 shared topics	Distler.net - Kompetenzen in Sprache und Kultur	de	language-learning Joomla	robotsllmsaihumans	emailphone	none
easy-sprachen.com ↗	64 match 1 shared topics	Kraft Medien Verlag \| Sprachkurs unter Hypnose \| Sprachen schnell und effektiv lernen	de	language-learning	robotsllmsaihumans	emailphone	none
akzent-palma.com ↗	64 match 1 shared topics	Sprachkurs in Altstadt von Palma. Spanisch lernen auf Mallorca.	de	language-learning WordPress WooCommerce	robots llmsaihumans	email phone	none
gardening-english.com ↗	64 match 1 shared topics	Sprachschule Münster - Englisch lernen in Münster	de	language-learning	robotsllmsaihumans	emailphone	none
narrative-flow.com ↗	64 match 1 shared topics	Narrativeflow - Professioneller Sprachunterricht & Coaching	de	language-learning Weebly	robotsllmsaihumans	emailphone	none
fremdsprachen-lernen.org ↗	64 match 1 shared topics	Fremdsprachen lernen leicht gemacht	de	language-learning WordPress	robots llmsaihumans	emailphone	none
fremdsprachen-lernen-info.com ↗	64 match 1 shared topics	fremdsprachen-lernen-info.com - Sprachen einfach lernen	de	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
def-trans-reisser.com ↗	63 match 1 shared topics	DEF-trans Reisser \| Sprachschule \| Übersetzungen \| Lektorat	de	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
readingroom.de ↗	63 match 1 shared topics	ZEIT SPRACHEN - effektives Sprachenlernen mit Genuss. Lesen, hören, üben.	Germany de	language-learning	robotsllmsaihumans	emailphone	none
genderapp.org ↗	63 match 1 shared topics	gender app · Geschlechtergerechte Sprache	de	language-learning	robotsllmsaihumans	emailphone	none
kids-lingua-campus.com ↗	63 match 1 shared topics	Kids Lingua Campus München · Sprachen lernen für Kinder & Jugendliche	de	language-learning	robotsllmsaihumans	emailphone	none
accademia-italiana.info ↗	63 match 1 shared topics	Accademia Italiana Sprachreise Italien in Salerno & Neapel	de	language-learning	robotsllmsaihumans	emailphone	none
ra-faessler.de ↗	63 match 1 shared topics	Spanisch Live, der 1. spanische Sprachkurs -online und kostenlos	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.