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Dr. Dorothea Hoffmann – Documentary linguist and world citizen — 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
sergesagna.com ↗	68 match 1 shared topics	SERGE SAGNA – Linguist	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
mboivoice.net ↗	67 match 1 shared topics	Abi Benson Silon and Linguistic Research	en	language-learning Drupal	robotsllmsaihumans	emailphone	none
aboutlinguistics.com ↗	66 match 1 shared topics	About Linguistics	en	language-learning	robotsllmsaihumans	emailphone	none
elisagironzetti.com ↗	66 match 1 shared topics	Elisa Gironzetti – Associate Professor, Spanish Applied Linguistics	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
hainanlandscapes.com ↗	66 match 1 shared topics	Hainan Languages \| Linguistic Diversity Map	en	language-learning	robotsllmsaihumans	emailphone	none
ph-aaa.com ↗	65 match 1 shared topics	phaaa \| Dive into the world of exciting and diverse English language games for all ages.	en	language-learning	robotsllmsaihumans	emailphone	none
me777xyz.com ↗	65 match 1 shared topics	me777 - Engage and Explore: Dive into a World of Exciting English Games Online	en	language-learning	robotsllmsaihumans	emailphone	none
ttjlapplogin.com ↗	65 match 1 shared topics	ttjl - Discover a world of engaging word puzzles and language games online.	en	language-learning	robotsllmsaihumans	emailphone	none
ph01legit.com ↗	65 match 1 shared topics	PH01 \| Unlock the World of English Games with PH01: Fun, Learning, and Excitement Await	en	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
9jlgo.com ↗	64 match 1 shared topics	9jl - Dive into the World of Engaging English Language Games and Activities	en	language-learning	robotsllmsaihumans	emailphone	none
abacademy.org ↗	64 match 1 shared topics	Ab Academy – dynamic language and extra-hours learning center	en	language-learning WordPress WooCommerce	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
phcityjack.com ↗	64 match 1 shared topics	phcity - Dive into a world of exciting and immersive English language games online.	en	language-learning	robotsllmsaihumans	emailphone	none
3djlvip.com ↗	64 match 1 shared topics	3djl - Explore the World of English Games with Fun and Learning Combined	en	language-learning Spree Commerce	robotsllmsaihumans	emailphone	none
egamesfun.com ↗	64 match 1 shared topics	EGames - Explore the World of English Games and Boost Your Language Skills	en	language-learning	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
4jlpc.com ↗	64 match 1 shared topics	4jl - Explore a World of Exciting English Games and Challenges Online	en	language-learning	robotsllmsaihumans	emailphone	none
cczz777.com ↗	64 match 1 shared topics	cczz \| Explore a New World of English Games for Education and Entertainment	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.