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Lifelong Learning Institute Europe – Education for Professionals — 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 Adult Education →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
forum-migration.ch ↗	62 match 2 shared topics	Forum Migration Oberwallis \| Forum Migration Oberwallis	Switzerland de	language-learning	robotsllmsaihumans	email phone	none
mock-haugwitz.de ↗	61 match 2 shared topics	Mock-Haugwitz – Sprache. Verstehen. Lernen.	Germany de	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
moct.de ↗	61 match 2 shared topics	MOCT – Brücke der Freundschaft e.V.	Germany de	adult-education	robotsllmsaihumans	emailphone	none
daag-bildungswerk.com ↗	61 match 2 shared topics	Sprachkurse, Integrationskurse, Schulabschlüsse, DAAG e.V. Bildungswerk in Bonn	de	language-learning	robotsllmsaihumans	emailphone	none
jack-berlin.org ↗	61 match 2 shared topics	JACK Bildungsstätte für geflüchtete & schutzbedürftige Frauen – Pallotti-Mobil e. V.	de	adult-education WordPress	robotsllmsaihumans	emailphone	none
mosaik-bochum.de ↗	60 match 2 shared topics	MOSAIK Bochum e.V. - Home	Germany de	language-learning	robotsllmsaihumans	emailphone	none
franzoesisch-coaching.ch ↗	42 match 2 shared topics	Französisch Coaching – Daniel Ackermann	Switzerland de	adult-education WordPress WooCommerce	robotsllmsaihumans	emailphone	none
deutschonair.com ↗	40 match 2 shared topics	Deutschkurse für Fachberufe \| Deutschonair	de	language-learning Weebly	robotsllmsaihumans	emailphone	none
ferrari-languages.ch ↗	34 match 1 shared topics	Ferrari Languages – Language Learning	Switzerland de	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
moritzpopp.de ↗	34 match 1 shared topics	Moritz Popp – Professionelles Übersetzen und Dolmetschen in Bamberg	Germany de	language-learning WordPress	robotsllmsaihumans	emailphone	none
mobiles-sprachinstitut.de ↗	33 match 1 shared topics	Mobiles Sprachinstitut – Michael Sauerbier	Germany de	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
thinkpaed.com ↗	33 match 1 shared topics	THINKPäd – Institut für Neues Denken und Erfolgreiches Lernen seit 1996	de	adult-education WordPress	robotsllmsaihumans	emailphone	none
mmibs.de ↗	32 match 1 shared topics	Maleo MMIBS – Maleo Mekic International Business Services	Germany de	language-learning WordPress	robotsllmsaihumans	emailphone	none
mbetranslations.com ↗	32 match 1 shared topics	MBET Training and Translations	de	language-learning	robotsllmsaihumans	emailphone	none
gedufa-studienkolleg.com ↗	32 match 1 shared topics	Studienkolleg & Sprachinstitut NRW \| GEDUFA Düsseldorf – Deutschkurse, FSP & Studienvorbereitung	de	language-learning	robotsllmsaihumans	email phone	none
mehr-medienkompetenz.net ↗	32 match 1 shared topics	Mehr Medienkompetenz – Petition für mehr Medienkompetenz	de	adult-education WordPress WooCommerce	robotsllmsaihumans	emailphone	none
advanx.ai ↗	32 match 1 shared topics	ADVANX AI – Business Englisch & KI-Kommunikationstraining	de	language-learning Weebly	robotsllmsaihumans	email phone	none
scarlet-route.com ↗	32 match 1 shared topics	Scarlet Route Akademie – Tipps fürs Lernen, Sprachen und Selbstbildung in Bremen	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.