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We Dey Manage Academy – Innovation to Educate, Empower & Employ in Africa. — 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 Education Industry →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
utandokenya.com ↗	67 match 2 shared topics	Utando Kenya - Empowering Rural Education Through Digital Innovation	en	education-industry	robotsllmsaihumans	emailphone	none
academyleaders.com ↗	66 match 2 shared topics	Academyleaders – Education For Future	en	education-industry WordPress	robotsllmsaihumans	emailphone	none
jordancatapano.com ↗	65 match 2 shared topics	Jordan Catapano \| Innovation at every level of education	en	education-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none
academysocialfranchising.com ↗	65 match 2 shared topics	Academy Social Franchising – Transforming education through scalable impact	en	education-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none
academicintelligence.com ↗	65 match 2 shared topics	Academic Intelligence – Education Starts Here	en	education-industry WordPress	robotsllmsaihumans	emailphone	none
casleygera.com ↗	65 match 2 shared topics	Ravinder Casley Gera – Education project management and research	en	education-industry WordPress	robotsllmsaihumans	emailphone	none
dreamteamapp.org ↗	64 match 2 shared topics	Elevate\|STEAM - Principle-Based Education Management	en	education-industry	robotsllmsaihumans	emailphone	none
demasslearning.com ↗	64 match 2 shared topics	Demass Learning - A solution to education in the information/knowledge era.	en	education-industry WordPress	robotsllmsaihumans	emailphone	none
luminexora.com ↗	64 match 2 shared topics	HOPES FUTURE \| Empowering Communities Through Education	en	education-industry	robotsllmsaihumans	emailphone	partial · 8
doxacademia.org ↗	64 match 2 shared topics	DOXAcademia: The Great Commission for Education	en	education-industry Weebly	robotsllmsaihumans	emailphone	none
ushea-edu.org ↗	64 match 2 shared topics	U.S. Association of Higher Education & Academic Accreditation	US~ en	education-industry	robotsllmsaihumans	email phone	none
academy-feedback.com ↗	64 match 2 shared topics	Academy Feedback - Empowering Learning Excellence	US~ en	education-industry	robotsllmsaihumans	email phone	none
usa-learn.com ↗	64 match 2 shared topics	L.E.A.R.N. \| Leadership Education and Academic Resource Network	en	education-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none
1millionteachers.com ↗	64 match 2 shared topics	Empowering Educators Worldwide \| 1 Million Teachers	CA~ en	education-industry Squarespace Magento	robotsllmsaihumans	emailphone	none
aaacom.org ↗	64 match 2 shared topics	American Academic Accreditation Commission (AAACom) – America's Education 911 Justice \| Positive Outcomes	en	education-industry WordPress	robotsllmsaihumans	emailphone	none
drmartinkarp.com ↗	64 match 2 shared topics	Martin Karp – Education & Community Leader	en	education-industry WordPress	robotsllmsaihumans	emailphone	partial · 8
academicworkforce.org ↗	64 match 2 shared topics	Coalition on the Academic Workforce	en	education-industry Drupal	robotsllmsaihumans	emailphone	none
academia-tools.com ↗	64 match 2 shared topics	Academia Tools - High Quality For Higher Education	en	education-industry	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.