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Quantling alternatives & similar sites

Quantitative Linguistics Lab — 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
outlier-linguistics.net ↗	71 match 1 shared topics	Outlier Linguistics	en	language-learning Shopify	robotsllmsaihumans	emailphone	none
draenog.co.uk ↗	69 match 1 shared topics	Draenog: Welsh Linguistics home page	United Kingdom en	language-learning	robotsllmsaihumans	emailphone	none
mboivoice.net ↗	66 match 1 shared topics	Abi Benson Silon and Linguistic Research	en	language-learning Drupal	robotsllmsaihumans	emailphone	none
sergesagna.com ↗	66 match 1 shared topics	SERGE SAGNA – Linguist	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
ekapia.com ↗	66 match 1 shared topics	Enkeleida Kapia - Associate Professor of Linguistics & Albanology	en	language-learning	robotsllmsaihumans	emailphone	none
cbchang.com ↗	65 match 1 shared topics	Charles B. Chang \| Professor of Linguistics, City University of Hong Kong	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
24arabictranslations.com ↗	65 match 1 shared topics	24ArabicTranslations – Your Trusted Linguistic Service Provider	en	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
obling.org ↗	64 match 1 shared topics	Olimpíada Brasileira de Linguística	en	language-learning	robotsllmsaihumans	emailphone	none
okjlregister.com ↗	64 match 1 shared topics	okjl - Explore Your Linguistic Skills with Fun Games and Challenges Online	en	language-learning	robotsllmsaihumans	emailphone	none
asturianstudies.com ↗	64 match 1 shared topics	Asturian Studies · SAnTINA – Society for the Analysis of cultural Topics and linguistic Identities N'Asturies	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
austronesianist.com ↗	64 match 1 shared topics	Alexander Smith \| Linguist \| Austronesian Languages	en	language-learning Wix	robots llmsaihumans	emailphone	none
caspianlanguageteaching.com ↗	64 match 1 shared topics	Caspian Language Teaching Corp. – LANGUAGE INSTRUCTIONS & LINGUISTIC SERVICES	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
katievandyne.com ↗	64 match 1 shared topics	Katie VanDyne – Assistant Professor \| Department of Languages & Linguistics \| Truman State University	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
seveleu.com ↗	64 match 1 shared topics	Maxime Seveleu-Dubrovnik: Belarusian language, Middle-Eastern linguistics — Maxime Seveleu-Dubrovnik	en	language-learning	robotsllmsaihumans	emailphone	none
kathrinkaiser.com ↗	64 match 1 shared topics	OutdoorLinguist — Active language learning – Practical – hands-on – out there!	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
bilinguismo.com.br ↗	64 match 1 shared topics	Bilinguismo – Educação bilingue	Brazil en	language-learning WordPress	robotsllmsaihumans	emailphone	none
queenkingphp.com ↗	63 match 1 shared topics	QUEEN.PH \| QUEEN.PH: Discover Captivating English Games and Enrich Your Linguistic Skills Online	en	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
mjal.org ↗	63 match 1 shared topics	THE MODERN JOURNAL OF APPLIED LINGUSITICS -mjal.org	en	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.