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VIUFA - Vancouver Island University Faculty Association — 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 College Education →

DomainMatchTitleCountry/LangCategoryAI filesContactAI-protection
viu.ca 73* match Vancouver Island University | Vancouver Island University | Canada Canada en College EducationDrupal phone none
liu.edu 67* match Long Island University en College Education email none
uiaa.org 67* match University of Illinois Alumni Association | Welcome, Alumni & Friends! en EducationWordPress robots emailphone none
undalumni.org 67* match UND Alumni Association & Foundation | University of North Dakota United States~ en Education robots emailphone none
yale.edu 61* match Yale University en College EducationDrupal none
cmu.edu 61* match Carnegie Mellon University | CMU en College EducationDrupal phone none
usc.edu 61* match University of Southern California en College EducationWordPress robots none
unc.edu 61* match The University of North Carolina at Chapel Hill en College EducationWordPress robots none
tamu.edu 61* match Texas A&M University | Texas A&M University en College EducationWordPress none
rutgers.edu 61* match Rutgers University en College EducationDrupal email none
pitt.edu 61* match Home | University of Pittsburgh en College EducationDrupal none
iastate.edu 61* match Iowa State University en College EducationDrupal emailphone none
fsu.edu 61* match Florida State University en College Education none
ucalgary.ca 61* match University of Calgary Canada en College EducationDrupal none
uoregon.edu 61* match University of Oregon | Academic and Research Excellence en College EducationDrupal none
uwo.ca 61* match Western University Canada en College EducationWordPress phone none
uky.edu 61* match Home | University of Kentucky en College EducationDrupal email none
ku.edu 61* match Explore the home of the Jayhawks | The University of Kansas en College EducationDrupal robots 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.