similar sites

Browse

AI Report Tools

Sites similar to samilamine.com

Samilamine alternatives & similar sites

Sami Lamine – PhD in African Cultural Studies — 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 Postgraduate Education →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
johnpaulewing.com ↗	64 match 2 shared topics	John Paul Ewing – Doctoral Candidate (ABD), Germanic Studies, Indiana University	en	postgraduate-education WordPress	robotsllmsaihumans	emailphone	none
avide-edu.org ↗	64 match 2 shared topics	African Vision University	en	college-education	robotsllmsaihumans	emailphone	none
absparis.com ↗	63 match 2 shared topics	ABC Paris - American Business School in Paris	en	college-education WordPress	robotsllmsaihumans	emailphone	none
samubiscaro.com ↗	62 match 2 shared topics	Samuele Biscaro \| Mathematics Master Student	en	postgraduate-education	robotsllmsaihumans	emailphone	none
csubsrsc.com ↗	62 match 2 shared topics	SRSC - Student Research Scholar Club \| CSUB	en	college-education	robotsllmsaihumans	emailphone	none
aaron-tyrrell.com ↗	62 match 2 shared topics	Aaron Jude Tyrrell – Postdoctoral Research Associate at the University of Notre Dame	en	postgraduate-education WordPress	robotsllmsaihumans	emailphone	none
dresdeninternationaluniversity.com ↗	62 match 2 shared topics	Study in Dresden \| International Master's Programs \| DIU	en	college-education TYPO3	robotsllmsaihumans	emailphone	none
joinbut.com ↗	62 match 2 shared topics	Join BUT – BUT	en	college-education	robotsllmsaihumans	emailphone	none
natalianealon.com ↗	62 match 2 shared topics	Natalia Nealon – Doctoral Candidate; University of California, Irvine	en	postgraduate-education WordPress	robotsllmsaihumans	emailphone	none
nathantalvarez.com ↗	62 match 2 shared topics	Nathan T. Alvarez \| Nathan Tristan Alvarez - Psychology Student & Future Social Psychologist at Cal State Long Beach	US~ en	postgraduate-education	robotsllmsaihumans	emailphone	none
carolineviolafry.com ↗	62 match 2 shared topics	Caroline Viola Fry – Associate Professor, University of Hawai'i at Manoa	en	college-education WordPress	robotsllmsaihumans	emailphone	none
csuimpactmba.com ↗	62 match 2 shared topics	Impact MBA - Study Sustainable Business at Colorado State	en	postgraduate-education Kentico	robotsllmsaihumans	emailphone	none
carrieanneplatt.com ↗	62 match 2 shared topics	Carrie Anne Platt – Professor of Communication at North Dakota State University	en	college-education WordPress	robotsllmsaihumans	emailphone	none
cujammu.org ↗	61 match 2 shared topics	CUJ: Official Use Portal	en	postgraduate-education	robotsllmsaihumans	emailphone	partial · 8
salonidash.com ↗	61 match 2 shared topics	Saloni Dash	en	postgraduate-education WordPress WooCommerce	robots llmsaihumans	emailphone	none
samadamsportfolio.com ↗	61 match 2 shared topics	Samantha Adams – Teaching portfolio	en	postgraduate-education WordPress WooCommerce	robotsllmsaihumans	emailphone	none
aandjuniversity.org ↗	61 match 2 shared topics	A & J University – Learn and Graduate.	en	college-education WordPress WooCommerce	robotsllmsaihumans	emailphone	none
samuelbuchoul.com ↗	61 match 2 shared topics	Samuel Buchoul — PhD Candidate, University of Cambridge	en	postgraduate-education 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.