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Alliance Francaise of NW CT – French language classes & cultures of French-speaking countries — 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
accord-langues.com ↗	69 match 1 shared topics	Learn French in France - French language courses in Paris	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
facnh.com ↗	67 match 1 shared topics	Franco-American Centre (FACNH) \| french language and culture	en	language-learning Wix Wix Stores	robots llmsaihumans	emailphone	none
fleetlanguagecircle.org.uk ↗	66 match 1 shared topics	Fleet Language Circle - Speaking French German & Spanish since 1966	United Kingdom en	language-learning	robotsllmsaihumans	emailphone	none
keeplearningfrench.com ↗	66 match 1 shared topics	Learn French in France \| Language Schools & Immersions - KLF	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
alliance-cam.co.uk ↗	66 match 1 shared topics	Home - Alliance Francaise de Cambridge - Norwich	United Kingdom en	language-learning	robotsllmsaihumans	email phone	none
viola-ardeni.com ↗	66 match 1 shared topics	Viola Ardeni – Fairy Tales \| Italian Cultures \| Languages	United States~ en	language-learning WordPress	robotsllmsaihumans	emailphone	none
onespotus.com ↗	66 match 1 shared topics	Myoungmee's Korean Language Classes	en	language-learning	robotsllmsaihumans	emailphone	none
olyparle.com ↗	66 match 1 shared topics	OLYParle.com – French Language Learning Club serving Olympia, Washington and the South Sound	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
erfolglanguageclasses.com ↗	65 match 1 shared topics	German Language Classes in Hyderabad \| Erfolg Institute	en	language-learning WordPress	robotsllmsaihumans	email phone	none
anirvanajapan.com ↗	65 match 1 shared topics	Empowering Anirvana Japanese language & culture centre	en	language-learning	robotsllmsaihumans	email phone	none
360serenity.org ↗	65 match 1 shared topics	360Serenity: Language Courses & Coaching	en	language-learning Lightspeed	robotsllmsaihumans	emailphone	none
omilo.com ↗	65 match 1 shared topics	Greek Language and Culture Courses in Greece \| Omilo	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
elalliance.org ↗	65 match 1 shared topics	Home - Endangered Language Alliance	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
everydayisfrench.com ↗	65 match 1 shared topics	Everyday is French – French as it should be!	en	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
katykorean.com ↗	65 match 1 shared topics	Join Katy Korean School for Language & Culture \| HanMirae	United States~ en	language-learning	robotsllmsaihumans	emailphone	none
hellonora.ai ↗	65 match 1 shared topics	AI Language Tutor — Practice Speaking with Nora	en	language-learning	robotsllmsaihumans	emailphone	none
easy-french.org ↗	65 match 1 shared topics	Easy French — Easy Languages	en	language-learning Squarespace Magento	robotsllmsaihumans	emailphone	none
omininstitute.com ↗	65 match 1 shared topics	Omin Institute \| Grade 6-11 Tuition, Japanese & English Language Classes, IT Courses in Sri Lanka	en	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.