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Programa VAI – Perpetuo – Programa VAI – Vou Aprender Italiano — 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
programajaponesonline.com.br ↗	65 match 1 shared topics	Programa Japonês Online - Aprenda Japonês	Brazil pt	language-learning WordPress	robotsllmsaihumans	emailphone	none
shuomandarim.com ↗	63 match 1 shared topics	Shuo Mandarim – Falar mandarim é a melhor maneira de aprender	pt	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
alemao.org ↗	63 match 1 shared topics	Aprender alemão online: Gramática, exercícios e vocabulário grátis	pt	language-learning	robotsllmsaihumans	emailphone	none
professortenani.com.br ↗	62 match 1 shared topics	Página inicial \| Ensinando e Aprendendo	Brazil pt	language-learning	robotsllmsaihumans	emailphone	none
comunicareitaliano.com ↗	62 match 1 shared topics	Comunicare italiano escola e cursos de língua italiana em João Pessoa	pt	language-learning Wix	robots llmsaihumans	emailphone	none
progressiveidiomas.com.br ↗	62 match 1 shared topics	PROGRESSIVE IDIOMAS – AO SEU ALCANCE	Brazil pt	language-learning WordPress	robotsllmsaihumans	emailphone	none
portalesmirna.com.br ↗	62 match 1 shared topics	Portal Esmirna – Aulas de Turco – Brezilya Portekizcesi Dersleri	Brazil pt	language-learning WordPress	robots llmsaihumans	emailphone	none
estudelatim.com ↗	62 match 1 shared topics	Estude Latim – por Victor Mattos	pt	language-learning WordPress	robotsllmsaihumans	emailphone	none
estanteonline.com ↗	62 match 1 shared topics	estanteonline.com – Venda de ebook	pt	language-learning WordPress	robotsllmsaihumans	emailphone	none
portuguespassadoalimpo.com.br ↗	62 match 1 shared topics	Português Passado a Limpo – Curso Intensivo de Redação e Gramática	Brazil pt	language-learning WordPress	robotsllmsaihumans	emailphone	none
promoshow.com.br ↗	62 match 1 shared topics	CCBI – Centro Cultural Brasil Itália	Brazil pt	language-learning WordPress	robotsllmsaihumans	emailphone	none
portaldalinguaportuguesa.com.br ↗	61 match 1 shared topics	Portal Da Língua Portuguesa – Por Cláudia Barbosa	Brazil pt	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
portaldeestudos.com.br ↗	61 match 1 shared topics	Portal de Estudos – Seu caminho para a aprovação.	Brazil pt	language-learning WordPress WooCommerce	robots llmsaihumans	emailphone	none
professorrafaeldias.com.br ↗	61 match 1 shared topics	Professor Rafael Dias – Português e Redação para Concuros	Brazil pt	language-learning WordPress	robotsllmsaihumans	emailphone	none
newstart.com.br ↗	61 match 1 shared topics	New Start – English Course	Brazil pt	language-learning WordPress	robotsllmsaihumans	emailphone	none
profhaus.com.br ↗	61 match 1 shared topics	ProfHaus – Fale Inglês	Brazil pt	language-learning WordPress	robotsllmsaihumans	emailphone	none
portuguesdeperto.com.br ↗	61 match 1 shared topics	Português de Perto – Língua Portuguesa e Redação para Vestibular FUVEST \| UNESP \| UNICAMP \| FAMERP \| Unifesp \|	Brazil pt	language-learning WordPress	robotsllmsaihumans	emailphone	none
melosenglish.com ↗	61 match 1 shared topics	Melos English – Your goal is our goal.	pt	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.