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Markeducation alternatives & similar sites

Mark Computer Education (Authorised Training Centre of C-DAC) — 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 Vocational Training →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
niceteducation.com ↗	74 match 1 shared topics	NICET – National Institute of Computer Education & Training	en	vocational-training	robotsllmsaihumans	email phone	none
ncvetskill.com ↗	73 match 1 shared topics	National Computer Education & Vocational Training Institutions	en	vocational-training	robotsllmsaihumans	emailphone	none
csckrishnagiri.com ↗	73 match 1 shared topics	CSC Computer Education Krishnagiri \| Project Training Centre \| Internship Python, Java, Fullstack, AI and Data Science	en	vocational-training	robotsllmsaihumans	email phone	none
kencomputer.com ↗	72 match 1 shared topics	KEN Institute of Computer Education \| ISO Certified Computer Training	India~ en	vocational-training	robotsllmsaihumans	emailphone	none
sitmcomputercenter.com ↗	71 match 1 shared topics	S.I.T.M COMPUTER EDUCATION	en	vocational-training	robotsllmsaihumans	email phone	none
nettec-computers.com ↗	71 match 1 shared topics	Nettec Computers \| Computer Training Centre \| P.R. Hill, Kohima, Nagaland, India	en	vocational-training Wix	robots llmsaihumans	emailphone	none
acetechlearning.com ↗	71 match 1 shared topics	Best Training Institute for Software, Computer Education, English Learning	en	vocational-training WordPress	robotsllmsaihumans	email phone	none
theguildtrainingcenter.com ↗	70 match 1 shared topics	The Guild Training Center — Automotive Education · Certified	United States~ en	vocational-training HubSpot	robotsllmsaihumans	emailphone	none
neat-uk.com ↗	70 match 1 shared topics	NEAT UK – National Education And Training	en	vocational-training WordPress	robotsllmsaihumans	emailphone	none
sistcomputers.org ↗	70 match 1 shared topics	SIST Computer Education	en	vocational-training	robotsllmsaihumans	emailphone	none
vistatraining.org ↗	70 match 1 shared topics	Home - Vista Education and Training	en	vocational-training WordPress	robotsllmsaihumans	emailphone	none
ctcpostoffice.com ↗	70 match 1 shared topics	Computer Training Center \| Amtali Post Office 8710	en	vocational-training	robotsllmsaihumans	emailphone	none
gletcc.com ↗	70 match 1 shared topics	GLOBAL LEGAL EDUCATION TRAINING & COACHING CENTRE –	en	vocational-training WordPress WooCommerce	robots llmsaihumans	emailphone	none
godcomputerinstitute.com ↗	70 match 1 shared topics	Home \| GOD Computer Training Institute	en	vocational-training	robotsllmsaihumans	email phone	none
retreatandtrainingcentre.com ↗	70 match 1 shared topics	Home - Retreat and Training Centre	en	vocational-training WordPress WooCommerce	robotsllmsaihumans	emailphone	none
acs.edu ↗	70 match 1 shared topics	ACS - Computer Training \| Vocational Training Courses in Queens	en	vocational-training WordPress Lightspeed	robotsllmsaihumans	emailphone	none
gitcguyana.com ↗	70 match 1 shared topics	Guyana Industrial Training Centre	en	vocational-training WordPress WooCommerce	robotsllmsaihumans	emailphone	none
netimoga.com ↗	70 match 1 shared topics	National Education & Training Institute - Best Computer Courses in Moga, Punjab	en	vocational-training	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.