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Casey Haymes — 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 Books and Literature →

DomainMatchTitleCountry/LangCategoryAI filesContactAI-protection
princeton.edu 55* match Home | Princeton University en EducationDrupal none
wikibooks.org 55* match Wikibooks en Books and Literature none
ala.org 55* match American Library Association en Books and LiteratureDrupal none
beanstack.org 55* match Reading Challenges & Logs for Libraries | Beanstack en EducationHubSpot none
simonandschuster.net 55* match Simon & Schuster Education & Library Resources for Educators and Librarians | Simon & Schuster en Education none
powerlibrary.org 55* match Home | POWER Library en EducationWordPress robots none
arbookfind.com 55* match Accelerated Reader Bookfinder US - Welcome en Education none
librarypass.com 55* match Home - LibraryPass™ en Books and LiteratureWordPressWooCommerce robots none
beanstack.com 55* match Reading Challenges & Logs for Libraries | Beanstack en EducationHubSpot none
beacon.org 55* match Beacon Press: Home Page United States~ en Books and Literature robots none
lapl.org 55* match Homepage | Los Angeles Public Library en Books and LiteratureDrupal none
redshelf.com 55* match RedShelf en Books and Literature robots none
swanlibraries.net 55* match SWAN Library Services en Books and LiteratureDrupal robots none
americanlibrariesmagazine.org 55* match Home | American Libraries Magazine en EducationWordPress robots none
midhudsonlibraries.org 55* match Mid-Hudson Library System Catalog en Books and Literature robots full · 20
thehumanities.com 55* match New Directions in the Humanities Research Network United States~ en Education email none
adho.org 55* match Alliance of Digital Humanities Organizations – A Global Coalition of Digital Humanities Organizations en Books and LiteratureWordPress email none
teachingbooks.net 55* match TeachingBooks | Author & Book Resources to Support Reading Education en Books and Literature 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.