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Daniel Midgley – Linguist, teacher, podcaster, author — 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
danielmidgley.com ↗	85 match 1 shared topics	Daniel Midgley – Linguist, teacher, podcaster, author	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
one-s-jes.com ↗	68 match 1 shared topics	One S Jes Kozloff – Linguist, Editor, English Teacher, Adventure Person	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
danieldacanay.com ↗	67 match 1 shared topics	Daniel Dacanay – Computational Linguist	en	language-learning WordPress WooCommerce	robotsllmsaihumans	email phone	none
dorothyzemach.com ↗	66 match 1 shared topics	Dorothy Zemach \| Teacher, Author, Editor, Speaker, Trainer	en	language-learning WordPress	robotsllmsaihumans	emailphone	partial · 1
daniellepbrowne.com ↗	64 match 1 shared topics	Teach English – with Danielle	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
bcnteachers.com ↗	64 match 1 shared topics	BCN Teachers	en	language-learning	robotsllmsaihumans	emailphone	none
essentiallinklinguistics.com ↗	64 match 1 shared topics	Essential Link Linguistics	en	language-learning WordPress WooCommerce	robotsllmsaihumans	email phone	none
danielkrausse.com ↗	64 match 1 shared topics	Home - linguistics-krausse	United States~ en	language-learning Jimdo	robotsllmsaihumans	emailphone	none
doualabil.net ↗	64 match 1 shared topics	Douala Regional Linguistic Centre	en	language-learning	robotsllmsaihumans	emailphone	none
henryangulo.com ↗	64 match 1 shared topics	Henry Angulo \| Applied Linguistics Researcher	en	language-learning	robotsllmsaihumans	emailphone	none
24arabictranslations.com ↗	64 match 1 shared topics	24ArabicTranslations – Your Trusted Linguistic Service Provider	en	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
everydaymfl.com ↗	64 match 1 shared topics	Everyday MFL – Ideas for the everyday MFL teacher.	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
helenbolli.com ↗	64 match 1 shared topics	Helen Bolli – Experienced Business English Teacher	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
david-etta.com ↗	63 match 1 shared topics	Linguistics \| David Etta	en	language-learning Wix	robots llmsaihumans	emailphone	none
eslcoachingwithnor.com ↗	63 match 1 shared topics	ESL Teacher Coaching by Nor	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
estonianwitheli.org ↗	63 match 1 shared topics	Estonian with Eli – Estonian language learning podcast	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
katiedivito.com ↗	63 match 1 shared topics	Señora Katie DiVito – Aquisition-Driven Spanish Teacher	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
hinglishdictionary.com ↗	63 match 1 shared topics	HINGLISH DICTIONARY – HINGLISH ANGULISH DICTIONARY AUTHORITY	en	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.