similar sites

Browse

Tools

🚀Submit Your Site to AIPush your URL to AI search engines 🤖AI Crawler CheckerSee which AI bots your site blocks 🎯AI Readiness CheckerScore your site 0–100 for AI 🔗Backlink CheckerWho links to any site — free All tools →

Sites similar to learnibwithme.com

Learnibwithme alternatives & similar sites

Lerne IB Deutsch mit mir! — 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
fixl.com ↗	67 match 1 shared topics	Forum Deutschkurse	de	language-learning	robotsllmsaihumans	emailphone	none
deutsch-mit-brigitte.ch ↗	66 match 1 shared topics	Deutsch für Industrie und Privat \| Deutsch mit Brigitte \| Deutsch Lernen	Switzerland de	language-learning WordPress	robotsllmsaihumans	emailphone	none
deepdeutsch.com ↗	66 match 1 shared topics	Start - Deep Deutsch	de	language-learning WordPress	robots llmsaihumans	emailphone	none
flowdeutsch.com ↗	66 match 1 shared topics	flowdeutsch – lerne Deutsch fließend zu sprechen	de	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	partial · 8
deinedeutschexperten.com ↗	66 match 1 shared topics	Deine Deutschexperten	de	language-learning WordPress	robotsllmsaihumans	emailphone	none
cafeinberlinpdf.site ↗	66 match 1 shared topics	Café in Berlin PDF – Deutsch lernen mit Geschichten \| André Klein	de	language-learning	robotsllmsaihumans	emailphone	none
cambridge4u.ch ↗	66 match 1 shared topics	Englisch lernen mit Erfolg	Switzerland de	language-learning WordPress	robotsllmsaihumans	email phone	none
fachdidaktikdeutsch.ch ↗	65 match 1 shared topics	Verein Fachdidaktik Deutsch	Switzerland de	language-learning	robotsllmsaihumans	emailphone	none
fdd-ch.ch ↗	65 match 1 shared topics	Verein Fachdidaktik Deutsch	Switzerland de	language-learning	robotsllmsaihumans	emailphone	none
i-german.com ↗	65 match 1 shared topics	i-German \| Die Zukunft des Deutschlernens 2030	de	language-learning	robotsllmsaihumans	emailphone	none
medizin-deutsch.net ↗	65 match 1 shared topics	Deutsch für Gesundheitsberufe	de	language-learning	robotsllmsaihumans	emailphone	none
de-de.app ↗	65 match 1 shared topics	mitDeutsch — deine persönliche Plattform zum Deutschlernen	de	language-learning	robotsllmsaihumans	emailphone	partial · 7
bellingua.ch ↗	65 match 1 shared topics	Bellingua - Deutschschule Zürich	Switzerland de	language-learning WordPress	robotsllmsaihumans	emailphone	none
gabydeutsch.ch ↗	65 match 1 shared topics	Gaby Deutsch Kurse: individueller geht nicht.	Switzerland de	language-learning WordPress	robotsllmsaihumans	email phone	none
helena-hepe.ch ↗	64 match 1 shared topics	Helena Hepe – Deutsch – Schweizer Sprecherin	Switzerland de	language-learning WordPress	robotsllmsaihumans	emailphone	none
der-gruene-max.ch ↗	64 match 1 shared topics	Deutsch für die Romandie \| Klett.de	Switzerland de	language-learning WordPress	robotsllmsaihumans	emailphone	partial · 1
dergruenemax.ch ↗	64 match 1 shared topics	Deutsch für die Romandie \| Klett.de	Switzerland de	language-learning WordPress	robotsllmsaihumans	emailphone	partial · 1
fluedy.com ↗	64 match 1 shared topics	Fluedy — Deutsch lernen. Prüfung bestehen. Karriere starten. \| Fluedy	de	language-learning	robots llmsaihumans	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.