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NEDEG - Nepali Deutsche Gesellschaft — 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 Non Profit Organizations →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
nepali-deutsche-gesellschaft.com ↗	100 match 1 shared topics	NEDEG - Nepali Deutsche Gesellschaft	de	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
islandgesellschaft.de ↗	76 match 1 shared topics	Deutsch-Isländische Gesellschaft e.V. – Home	Germany de	non-profit-organizations Joomla	robotsllmsaihumans	emailphone	none
gemema.com ↗	70 match 1 shared topics	Startseite \| Gesellschaft für Mehrwegmanagement	de	non-profit-organizations	robotsllmsaihumans	emailphone	none
humanistisches-bekenntnis.org ↗	68 match 1 shared topics	Humanistische Gesellschaft SchweizWir feiern das Menschsein!	de	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
ggmeilen.ch ↗	67 match 1 shared topics	GGM, Gemeinnützige Gesellschaft des Bezirkes Meilen, Wir helfen Menschen	Switzerland de	non-profit-organizations DotNetNuke/DNN	robotsllmsaihumans	emailphone	none
kaufleutenbern.ch ↗	67 match 1 shared topics	Kaufleuten: Gesellschaft zu Kaufleuten	Switzerland de	non-profit-organizations TYPO3	robotsllmsaihumans	emailphone	none
kaufleuten-bern.ch ↗	67 match 1 shared topics	Kaufleuten: Gesellschaft zu Kaufleuten	Switzerland de	non-profit-organizations TYPO3	robotsllmsaihumans	emailphone	none
jugenddiakoniepreis.de ↗	67 match 1 shared topics	MachMit! Award \| Gemeinsam Gesellschaft gestalten & fördern	Germany de	non-profit-organizations WordPress	robotsllmsaihumans	email phone	none
a-d-gesellschaft.de ↗	67 match 1 shared topics	Albert Dietrich Gesellschaft e.V. Oldenburg	Germany de	non-profit-organizations	robotsllmsaihumans	emailphone	none
kanada-studien.de ↗	67 match 1 shared topics	Gesellschaft für Kanada-Studien e.V.	Germany de	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
jg-velstove.de ↗	66 match 1 shared topics	Junge Gesellschaft Velstove – Der Klügere kippt nach	Germany de	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
jungius-gesellschaft.de ↗	66 match 1 shared topics	Joachim Jungius-Gesellschaft der Wissenschaften	Germany de	non-profit-organizations	robotsllmsaihumans	emailphone	none
journafrica.de ↗	65 match 1 shared topics	Transnationale Projekte zwischen Deutschland und Afrika	Germany de	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
jugendhof-schoenberg.de ↗	65 match 1 shared topics	Startseite - Betriebsgesellschaft Jugendeinrichtungen gGmbH	Germany de	non-profit-organizations	robotsllmsaihumans	emailphone	none
ab-net.de ↗	65 match 1 shared topics	Aschaffenburg - International Police Association - Deutschland	Germany de	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
albin-vega.de ↗	65 match 1 shared topics	Deutsche Vega-Klassenvereinigung e.V. - Albin-Vega Klassenvereinigung	Germany de	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
jci-germany.de ↗	65 match 1 shared topics	Junior Chamber International (JCI) - Wirtschaftsjunioren Deutschland	Germany de	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
acli-bw.de ↗	65 match 1 shared topics	ACLI Baden-Württemberg - Deutsch	Germany de	non-profit-organizations	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.