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LexiPro – Professional Vocabulary Manager — 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 Online Education →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
lynn-academy.com ↗	66 match 2 shared topics	Lynn Academy - Learn German Online \| Professional German Language Courses	en	language-learning	robotsllmsaihumans	emailphone	none
thinkmap.com ↗	65 match 2 shared topics	Vocabulary.com - Learn Words - English Dictionary	en	language-learning	robotsllmsaihumans	emailphone	none
topiklord.com ↗	64 match 2 shared topics	TOPIKLord — Master Korean Vocabulary. Pass the TOPIK.	en	language-learning	robotsllmsaihumans	emailphone	none
indonesian-institute.com ↗	63 match 2 shared topics	Learn Hungarian for Free with the Complete Language Course \| Official Indonesian Grammar, Vocabulary and Culture Courses	en	language-learning	robots llmsaihumans	emailphone	none
languagelearningresourcecenter.org ↗	62 match 2 shared topics	Language Learning Resource Center \| Educational Resources	en	language-learning WordPress	robotsllmsaihumans	emailphone	partial · 8
2frenchfries.com ↗	62 match 2 shared topics	Conversational French Tutoring – 30 minutes Zoom lessons to get you speaking French!	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
inapsemiingles.com ↗	62 match 2 shared topics	Semi-presencial Ingles – Supplementary material for your blended-learning English course	en	online-education WordPress	robotsllmsaihumans	emailphone	none
onlinepec.com ↗	62 match 2 shared topics	Online P.E.C. – Persist. Experience. Continue.	en	online-education WordPress WooCommerce	robotsllmsaihumans	emailphone	none
sprachville.com ↗	62 match 2 shared topics	Sprachville International \| French & German Language Classes Online and In Nigeria	en	language-learning	robotsllmsaihumans	email phone	none
lapetiteprofresources.com ↗	62 match 2 shared topics	La Petite Prof Resources	en	language-learning	robotsllmsaihumans	emailphone	none
languagebazaar.org ↗	62 match 2 shared topics	Language Bazaar \| Lesson 1	en	language-learning	robotsllmsaihumans	emailphone	none
bluestarenglish.com ↗	62 match 2 shared topics	BlueStar English \| Instructional Designers – Create great courses with help from our team of designers and coaches	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
123goenglish.org ↗	62 match 2 shared topics	123goEnglish – Learn with us	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
bahasabooster.com ↗	62 match 2 shared topics	Bahasa Booster - Les English Personal dengan Progres Terukur	en	language-learning	robotsllmsaihumans	emailphone	none
onlinetrustedreviews.com ↗	62 match 2 shared topics	Online Trusted Reviews – Honest Course & Product Reviews 2025	en	language-learning Lightspeed	robotsllmsaihumans	emailphone	none
thinktechlab.com ↗	62 match 2 shared topics	think tech LAB – tech integration + english language learning	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
languagingworld.com ↗	61 match 2 shared topics	Languaging World – Language education for real life and real classrooms	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
languagehacker.org ↗	61 match 2 shared topics	Language Hacker Premium Programs	en	online-education	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.