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Learning Days 26 - Grenzenlos Lernen — 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 Workshops And Classes →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
bauchreden-lernen.com ↗	63 match 1 shared topics	Bauchreden lernen \| Bauchredner Portal	de	workshops-and-classes WordPress	robotsllmsaihumans	emailphone	none
academy4you.ch ↗	62 match 1 shared topics	academy4you – Wissen lernen, mit Begeisterung…	Switzerland de	workshops-and-classes WordPress WooCommerce	robotsllmsaihumans	email phone	none
pale-whisper.com ↗	62 match 1 shared topics	Redner-Club Belgien - Rhetorik und Kommunikation lernen	de	workshops-and-classes	robotsllmsaihumans	emailphone	none
interbeing.ch ↗	62 match 1 shared topics	Spaces - Growing playfully together	Switzerland de	workshops-and-classes WordPress	robotsllmsaihumans	emailphone	none
dagmaraigner.de ↗	62 match 1 shared topics	Besser singen lernen – Gesangsunterricht München Dagmar Aigner	Germany de	workshops-and-classes WordPress WooCommerce	robotsllmsaihumans	email phone	none
anerias-faedeltreff.de ↗	62 match 1 shared topics	Anerias-Fädeltreff/Perlenkurse-fädeln lernen in Köln	Germany de	workshops-and-classes	robotsllmsaihumans	emailphone	none
anjaberninger.de ↗	62 match 1 shared topics	Dr. Anja Berninger -	Germany de	workshops-and-classes WordPress	robotsllmsaihumans	emailphone	none
silvadianova.com ↗	62 match 1 shared topics	Digitales Zeichnen lernen – Live-Webinare mit Profis \| Silvadianova	Germany~ de	workshops-and-classes	robotsllmsaihumans	emailphone	none
einfachsingenlernen.ch ↗	62 match 1 shared topics	Gesangsunterricht in Wien \| Einfach Singen Lernen mit Vocalcoach Andreas Heusser	Switzerland de	workshops-and-classes	robotsllmsaihumans	emailphone	none
mitgestalten.ch ↗	62 match 1 shared topics	Startseite - lernwerk bern	Switzerland de	workshops-and-classes	robotsllmsaihumans	email phone	none
daswowbistdu.de ↗	62 match 1 shared topics	Andrea Bakovic coaching & training	Germany de	workshops-and-classes WordPress	robotsllmsaihumans	email phone	none
andrea-bakovic.de ↗	62 match 1 shared topics	Andrea Bakovic coaching & training	Germany de	workshops-and-classes WordPress	robotsllmsaihumans	email phone	none
andreabakovic.de ↗	62 match 1 shared topics	Andrea Bakovic coaching & training	Germany de	workshops-and-classes WordPress	robotsllmsaihumans	email phone	none
annikavogl.de ↗	61 match 1 shared topics	Stimmtraining \| Annika Vogl I Stimme.Leben.	Germany de	workshops-and-classes	robotsllmsaihumans	emailphone	none
art-entertaining.de ↗	61 match 1 shared topics	Art Entertaining Education - Ute Kaldune	Germany de	workshops-and-classes	robotsllmsaihumans	emailphone	none
silent-communication.com ↗	61 match 1 shared topics	Horse-Human Relationship Training \| silent-communication in Québec Canada	de	workshops-and-classes Wix	robotsllmsaihumans	emailphone	none
das-triffts.de ↗	61 match 1 shared topics	das triffts\|Schreibtraining - Nicole Zöllner	Germany de	workshops-and-classes	robotsllmsaihumans	emailphone	none
arborist.de ↗	61 match 1 shared topics	Baumpflegeschule Busemann – Nachhaltige Baumpflege erfordert grundsätzlich die Bereitschaft zu einem lebenslangen Lernen.	Germany de	workshops-and-classes WordPress	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.