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Central Iowa Collaborative Collections Initiative — 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
earthawhite.org ↗	65 match 2 shared topics	Editing the Eartha M.M. White Collection	en	education	robotsllmsaihumans	emailphone	none
classroomlightbulbs.com ↗	65 match 2 shared topics	Perry Binder's Innovative College Teaching Books	en	education	robotsllmsaihumans	emailphone	none
cilibrary.org ↗	64 match 2 shared topics	Home \| Central Islip Public Library	en	education Drupal	robotsllmsaihumans	email phone	none
cindyscreativelearninglibrary.com ↗	64 match 2 shared topics	Creative Nonfiction \| Cindy’s Creative Learning Library	en	education WordPress WooCommerce	robotsllmsaihumans	emailphone	none
kymweed.com ↗	62 match 2 shared topics	Kym Weed, Ph.D. \| Teaching Assistant Professor, Co-Director of HHIVE Lab, and Associate Director of MA Concentration in Literature, Medicine, and Culture in the Department of English and Comparative Literature at the University of North Carolina at Chapel Hill	US~ en	education WordPress	robotsllmsaihumans	emailphone	none
adho.org ↗	61 match 2 shared topics	Alliance of Digital Humanities Organizations – A Global Coalition of Digital Humanities Organizations	en	education WordPress	robotsllmsaihumans	emailphone	none
paigebessick.com ↗	61 match 2 shared topics	Home - Paige Bessick - The Interactive Teacher	en	education WordPress WooCommerce	robotsllmsaihumans	emailphone	none
clicweb.org ↗	61 match 2 shared topics	CLiC – Colorado Library Consortium – Colorado Library Consortium	en	education WordPress	robotsllmsaihumans	email phone	none
futuremiraekim.com ↗	61 match 2 shared topics	Humanities Lab – A Research Center for the Humanities at American University	en	education WordPress	robotsllmsaihumans	emailphone	none
adventuresinliteracyland.com ↗	61 match 2 shared topics	Adventures in Literacy Land	en	education	robotsllmsaihumans	emailphone	none
eastgreenwichlibrary.org ↗	61 match 2 shared topics	Home \| East Greenwich Free Library	US~ en	education Drupal	robotsllmsaihumans	emailphone	none
classweb.org ↗	61 match 2 shared topics	Classification Web - Library of Congress	en	education	robotsllmsaihumans	emailphone	none
highwoodlibrary.org ↗	60 match 2 shared topics	Highwood Library & Community Center \| Highwood, IL	en	education WordPress WooCommerce	robotsllmsaihumans	email phone	none
hillaryahrichardson.com ↗	60 match 2 shared topics	Hillary A. H. Richardson – Humanities Librarian	en	education WordPress WooCommerce	robotsllmsaihumans	emailphone	none
adps.org ↗	60 match 2 shared topics	Alpha Delta Phi Society – A gender-inclusive literary society	en	education WordPress WooCommerce	robotsllmsaihumans	emailphone	none
clcwritingcenter.com ↗	60 match 2 shared topics	Voices from the CLC Writing Center – Every Writer Needs a Reader	en	education WordPress	robotsllmsaihumans	emailphone	none
academicworldjournal.com ↗	60 match 2 shared topics	Academic World Journal of Humanities and Social Sciences	en	education	robotsllmsaihumans	emailphone	none
idiom-magic.com ↗	60 match 2 shared topics	Idiom-Magic - Want to know what A SNAKE-OIL MERCHANT is? Or AN OLD FUDDY-DUDDY? Would a TOP DOG ever JUMP A QUEUE? Are you wondering WHERE IDIOMS COME FROM? Click on Q&A (above). It's where you go to ask questions -- and get answers!	en	education	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.