similar sites

Browse

AI Report Tools

Sites similar to jdlanguageservices.de

Jdlanguageservices alternatives & similar sites

Sprachtrainer für Englisch in Ulm — 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
harveys-academy.com ↗	69 match 1 shared topics	Business-Englisch-Training für Unternehmen in München \| Harvey’s Academy	de	language-learning TYPO3	robotsllmsaihumans	email phone	none
harveysacademy.de ↗	69 match 1 shared topics	Business-Englisch-Training für Unternehmen in München \| Harvey’s Academy	DE de	language-learning TYPO3	robotsllmsaihumans	email phone	none
biztalk.at ↗	69 match 1 shared topics	Sprachtraining und Dokumentation - wordbird	AT de	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
ichbinreza.de ↗	69 match 1 shared topics	ICHBINREZA DEUTSCH SPRACHTRAINING	DE de	language-learning	robotsllmsaihumans	emailphone	none
heather-language-training.de ↗	67 match 1 shared topics	Heather Language Training \| Business English & Sprachcoaching in München	DE de	language-learning	robotsllmsaihumans	emailphone	none
farztdinova.com ↗	67 match 1 shared topics	Dolmetscherin, Sprachtrainerin - Dr. Elena Farztdinova	de	language-learning WordPress	robotsllmsaihumans	email phone	none
fenoraphelio.com ↗	66 match 1 shared topics	Fenoraphelio - Online Englisch-Kommunikation mit Praxiserfolg	de	language-learning	robotsllmsaihumans	email phone	none
iranee.de ↗	66 match 1 shared topics	Arabisch Training & Arabien Coaching - Iranee SprachTraining & Interkulturelles Coaching	DE de	language-learning	robotsllmsaihumans	emailphone	none
juers-uebersetzungen.com ↗	66 match 1 shared topics	Übersetzer Englisch Deutsch Bautzen	de	language-learning WordPress	robotsllmsaihumans	emailphone	none
iks-sprachtrainings.de ↗	66 match 1 shared topics	IKS Sprachtrainings Regensburg - Business Sprachen	DE de	language-learning WordPress	robotsllmsaihumans	email phone	none
destaticon.com ↗	66 match 1 shared topics	Englisch richtig aussprechen - endlich eine gute Aussprache	de	language-learning WordPress	robots llmsaihumans	emailphone	none
ifsbonn.de ↗	66 match 1 shared topics	Institut für Sprachvermittlung - IFS Bonn-Berlin	DE de	language-learning Contao	robotsllmsaihumans	emailphone	none
ispeakbusiness.de ↗	66 match 1 shared topics	Business Englisch Kurse in Hamburg mit Konzept \| ispeak business	DE de	language-learning Weebly	robotsllmsaihumans	emailphone	none
native4kids.com ↗	66 match 1 shared topics	Englischkurse für Kinder \| Wien, Graz, Linz, Salzburg und Innsbruck	AT~ de	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
inter-global.de ↗	66 match 1 shared topics	Übersetzungen Spanisch und Englisch	DE de	language-learning WordPress	robotsllmsaihumans	emailphone	none
bairische-sprache.at ↗	65 match 1 shared topics	Bairische Sprache - Mundarten und Dialekte	AT de	language-learning	robotsllmsaihumans	emailphone	none
luminous-gates.com ↗	65 match 1 shared topics	Luminous Gates - Englischunterricht in Belgien	de	language-learning	robotsllmsaihumans	emailphone	none
neon-glen.com ↗	65 match 1 shared topics	Deutsch lernen in Berlin – NeonGlen Sprachakademie	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.