similar sites

Browse

Pricing AI Report

Tools

🚀Submit Your Site to AIPush your URL to AI search engines 🛰️AI Bot ObservatoryEvery AI crawler & who blocks it 📇AI Crawler Database900+ AI user agents + robots.txt gen ⚖️AI Crawler ComparisonCompare two AI crawlers head-to-head 💰AI Licensing / Pay-Per-CrawlWho can charge AI crawlers — Pay-Per-Crawl 🤖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 →

Browse free →

Sites similar to targetlanguage.at

Targetlanguage alternatives & similar sites

Startseite - Target Language Communications — 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
darmeleon.de ↗	70 match 1 shared topics	Startseite - VIASD e. V.	Germany de	language-learning WordPress	robotsllmsaihumans	emailphone	none
sprachinstitut.at ↗	69 match 1 shared topics	The Language Company	Austria de	language-learning WordPress	robotsllmsaihumans	emailphone	none
blueskywords.com ↗	69 match 1 shared topics	Startseite - BLUESKYWORDS	de	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
a-ct.net ↗	68 match 1 shared topics	HomePage-DE - ¡ACT! Avance Communication & Translation	de	language-learning WordPress WooCommerce	robots llmsaihumans	emailphone	none
academics-and-culture.com ↗	68 match 1 shared topics	Startseite - ACADEMICS and CULTURE	de	language-learning WordPress WooCommerce	robotsllmsaihumans	email phone	none
academics-and-culture.net ↗	68 match 1 shared topics	Startseite - ACADEMICS and CULTURE	de	language-learning WordPress WooCommerce	robotsllmsaihumans	email phone	none
academics-and-culture.org ↗	68 match 1 shared topics	Startseite - ACADEMICS and CULTURE	de	language-learning WordPress WooCommerce	robotsllmsaihumans	email phone	none
theresaviehberger.com ↗	67 match 1 shared topics	Startseite	de	language-learning	robotsllmsaihumans	email phone	none
nihondialog.com ↗	67 match 1 shared topics	Startseite Nihon Dialog	de	language-learning	robotsllmsaihumans	emailphone	none
languageexperience.com ↗	67 match 1 shared topics	The Language Experience	de	language-learning Weebly	robotsllmsaihumans	emailphone	none
tt-language-course.com ↗	66 match 1 shared topics	Home - tt-language-course	de	language-learning WordPress	robotsllmsaihumans	emailphone	none
bettinadreyer.info ↗	66 match 1 shared topics	Bettina Dreyer - STARTSEITE	de	language-learning	robotsllmsaihumans	emailphone	none
language-board.com ↗	66 match 1 shared topics	Language Board	de	language-learning WordPress	robotsllmsaihumans	emailphone	none
language-success.com ↗	66 match 1 shared topics	Language success	de	language-learning WordPress	robotsllmsaihumans	emailphone	none
culture-contacts.de ↗	66 match 1 shared topics	Culture Contacts - Language Services	Germany de	language-learning	robotsllmsaihumans	emailphone	none
adk-german-courses.com ↗	65 match 1 shared topics	Startseite — Augsburger Deutschkurse	de	language-learning	robotsllmsaihumans	email phone	none
l3-language.com ↗	65 match 1 shared topics	L3 Language - B2B Sprachtraining fuer Unternehmen \| Salzburg	Austria~ de	language-learning	robots llmsaihumans	emailphone	none
blc.solutions ↗	65 match 1 shared topics	BLC Language Solutions – Ihr Systemhaus für Sprache	de	language-learning 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.