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ALT Roadmap – Getting Hired, Teaching, and What’s Next — 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
crystalrosewainstock.com ↗	68 match 1 shared topics	English by Crystal - All things teaching and learning English	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
kosmikteaching.com ↗	66 match 1 shared topics	Home - Kosmik Teaching	en	language-learning WordPress WooCommerce	robots llmsaihumans	emailphone	none
vivianisteaching.com ↗	64 match 1 shared topics	Vivian is Teaching	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
moriahtranslations.com ↗	64 match 1 shared topics	Moriah’s Chinese Tutoring – $30/Hour to teach you or your child Chinese	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
bayareafluency.com ↗	64 match 1 shared topics	Bay Area Fluency Project \| Reading, Writing & Math Tutoring in Hayward, CA	en	language-learning	robotsllmsaihumans	emailphone	none
morwyncoch.com ↗	64 match 1 shared topics	Learning Medieval Welsh	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
chineseconverter.com ↗	64 match 1 shared topics	ChineseConverter.com - Learn Chinese resources and worksheets	en	language-learning	robotsllmsaihumans	emailphone	none
herenglish.com ↗	64 match 1 shared topics	Her English - Learn English Grammar, Vocabulary, Idioms and Writing Skills	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
koreateaching.com ↗	63 match 1 shared topics	Home - koreateaching.com	en	language-learning WordPress WooCommerce	robots llmsaihumans	emailphone	none
123listening.com ↗	63 match 1 shared topics	123 Listening - Free English Listening Tests and Worksheets	en	language-learning	robotsllmsaihumans	emailphone	none
allaboutenglishmastery.com ↗	63 match 1 shared topics	Why Business English Coaching for Professionals Matters	en	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
volunteerinitaly.com ↗	63 match 1 shared topics	Teach English in Italy - Sicily volunteering with family and groups	en	language-learning WordPress	robotsllmsaihumans	email phone	none
deuk.co ↗	63 match 1 shared topics	Deutsch-Ukraine Teacher Exchange – A German/English Language Teacher Exchange Program	Colombia en	language-learning WordPress	robotsllmsaihumans	emailphone	none
alexstevenson.me ↗	63 match 1 shared topics	Alex Steveson – Alex Stevenson – Entrepreneur, YouTuber and Founder of Ninja Teacher – Helping People Start Teaching English in Vietnam	en	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
bayareafrenchtutor.com ↗	63 match 1 shared topics	Bay Area French Tutor \| Native French Tutors with Years of Teaching Experience	en	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
polish-courses.com ↗	63 match 1 shared topics	Polish language courses – GLOSSA Polish Language School	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
vocasub.com ↗	63 match 1 shared topics	VocaSub - Learn Languages While Watching Anime \| Dual Subtitle Chrome Extension	en	language-learning	robotsllmsaihumans	emailphone	none
voxeracoaching.com ↗	63 match 1 shared topics	Voxera \| Communication Coaching in English for High-Pressure Business Situations	en	language-learning	robotsllmsaihumans	email phone	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.