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Writingintensive alternatives & similar sites

The Writing Intensive Program – Franklin College of Arts and Sciences at the University of Georgia — 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 →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
ouphipsi.org ↗	67 match 2 shared topics	Oklahoma Alpha – Phi Kappa Psi at the University of Oklahoma	en	college-education WordPress WooCommerce	robotsllmsaihumans	emailphone	none
crystalfodrey.com ↗	66 match 2 shared topics	Dr. Crystal N. Fodrey – Associate Professor & Director of the Writing Program \| Haverford College	en	education WordPress	robotsllmsaihumans	emailphone	none
ajcunet.edu ↗	66 match 2 shared topics	Association of Jesuit Colleges and Universities - HOME	en	college-education WordPress WooCommerce	robotsllmsaihumans	emailphone	none
cse23.org ↗	66 match 2 shared topics	CSE 23 - Computer Science & Engineering - Batch 23, University of Moratuwa	en	college-education	robotsllmsaihumans	emailphone	none
larsmathiassen.org ↗	66 match 2 shared topics	Lars Mathiassen \| Professor, CIS at Georgia State University	en	college-education WordPress	robotsllmsaihumans	emailphone	none
aiccu.edu ↗	65 match 2 shared topics	Association of Independent California Colleges and Universities	en	college-education	robotsllmsaihumans	emailphone	none
alexrandolph.org ↗	65 match 2 shared topics	Leadership – The Foundation of City College of San Francisco.	United States~ en	education WordPress	robotsllmsaihumans	emailphone	none
cserualumni.org ↗	65 match 2 shared topics	RU CSE ALUMNI - Association of old students of computer science and engineering, University of Rajshahi.	en	college-education	robotsllmsaihumans	emailphone	none
alexandrasladky.com ↗	65 match 2 shared topics	Alexandra Sladky – Georgia State University, PhD Rhetoric and Composition	en	education WordPress	robotsllmsaihumans	emailphone	none
ccaurora.edu ↗	65 match 2 shared topics	Home – Community College of Aurora	en	college-education WordPress	robotsllmsaihumans	emailphone	none
langstongazette.com ↗	65 match 2 shared topics	The Gazette – The Student Voice of Langston University	en	college-education WordPress	robotsllmsaihumans	emailphone	none
averett.edu ↗	65 match 2 shared topics	Averett University \| Virginia Campus & Online Degree Programs	en	education WordPress Shopify	robotsllmsaihumans	emailphone	none
colgate.edu ↗	65 match 2 shared topics	Colgate University - Leading Liberal Arts Education	en	college-education Drupal	robotsllmsaihumans	emailphone	none
cssthescript.com ↗	65 match 2 shared topics	The Script – The News Site of The College of St. Scholastica	en	education WordPress	robotsllmsaihumans	emailphone	none
ouarmyrotcalumni.org ↗	65 match 2 shared topics	University of Oklahoma Army ROTC – Alumni and Friends Association	United States~ en	education WordPress	robotsllmsaihumans	emailphone	none
mcgarrsymposium.com ↗	65 match 2 shared topics	The McGarr Symposium on Sports and Society \| Moody College of Communication	en	education Drupal	robotsllmsaihumans	email phone	none
ccri.edu ↗	65 match 2 shared topics	Community College Rhode Island \| Free Tuition, 200+ Programs – CCRI	en	college-education	robotsllmsaihumans	emailphone	none
mooringowners.com ↗	65 match 2 shared topics	Proposed Research Pier \| University of New England in Maine	en	college-education Drupal	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.