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Fresh Mortar – Ihre Plattform für Lernen, Sprachen & Selbstbildung in Trier — 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
freshceiling.com ↗	75 match 1 shared topics	FreshCeiling Bildung – Dein Portal für Lernen, Sprachen und Selbststudium in Dresden	de	language-learning	robotsllmsaihumans	emailphone	none
crystal-fleck.com ↗	69 match 1 shared topics	KulturKompass – Deine Plattform für globale Kulturvielfalt	de	language-learning	robotsllmsaihumans	emailphone	none
de-ua-cognates.com ↗	67 match 1 shared topics	Interaktive Plattform für Deutsch-Ukrainisch Kognate lernen \| DE-UA-Cognates	de	language-learning	robotsllmsaihumans	emailphone	none
new-language-lerning.com ↗	66 match 1 shared topics	Sprachen lernen	de	language-learning	robotsllmsaihumans	emailphone	none
akademiefuerkommunikation.com ↗	66 match 1 shared topics	Akademie für Kommunikation – Individuelle Sprachförderung	de	language-learning Weebly	robotsllmsaihumans	emailphone	none
kids-lingua-campus.com ↗	66 match 1 shared topics	Kids Lingua Campus München · Sprachen lernen für Kinder & Jugendliche	de	language-learning	robotsllmsaihumans	emailphone	none
fremdsprachen-lernen.net ↗	66 match 1 shared topics	Fremdsprachen lernen \| Tipps zum Lernen von Sprachen	de	language-learning WordPress	robotsllmsaihumans	emailphone	none
fremdsprachen-lernen.org ↗	66 match 1 shared topics	Fremdsprachen lernen leicht gemacht	de	language-learning WordPress	robots llmsaihumans	emailphone	none
dd-sprachentraining.com ↗	66 match 1 shared topics	Sprachkurse in Siegen: Jetzt einfach neue Sprachen lernen	Germany~ de	language-learning WordPress	robotsllmsaihumans	emailphone	none
dach-ge.org ↗	66 match 1 shared topics	Association DACH Sprache und Kultur Genf – Für Kinder im Raum Genf & Ihren Bezug zur Deutschen Sprache	de	language-learning WordPress	robotsllmsaihumans	emailphone	none
de-de.app ↗	66 match 1 shared topics	mitDeutsch — deine persönliche Plattform zum Deutschlernen	de	language-learning	robotsllmsaihumans	emailphone	partial · 7
fremdsprachen-lernen-info.com ↗	65 match 1 shared topics	fremdsprachen-lernen-info.com - Sprachen einfach lernen	de	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
neue-horizonte.net ↗	65 match 1 shared topics	Sprachschule in Berlin-Schöneberg \| Fremdsprachen lernen	de	language-learning	robotsllmsaihumans	emailphone	none
gardening-english.com ↗	65 match 1 shared topics	Sprachschule Münster - Englisch lernen in Münster	de	language-learning	robotsllmsaihumans	emailphone	none
glspeakers.com ↗	65 match 1 shared topics	Verbalingua \| Sprachkurse für Unternehmen	de	language-learning Wix	robots llmsaihumans	emailphone	none
distler.net ↗	65 match 1 shared topics	Distler.net - Kompetenzen in Sprache und Kultur	de	language-learning Joomla	robotsllmsaihumans	emailphone	none
emerginglinguists.org ↗	65 match 1 shared topics	Emerging Linguists – Deine Plattform von und für Interessierte, Studierende und Alumnis sprachbezogener Studien.	de	language-learning WordPress	robotsllmsaihumans	emailphone	none
thailernen.app ↗	65 match 1 shared topics	Thai lernen App – kostenlos & ohne Anmeldung \| ThaiLernen.app	de	language-learning	robotsllmsaihumans	emailphone	partial · 8

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.