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Read Closely – Develop analytical skills through close study of historical and literary texts — 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
thewisdomreel.com ↗	65 match 2 shared topics	Wisdom Reel - Find motivation and inspiration through quotes, anecdotes and short stories.	en	education WordPress	robotsllmsaihumans	emailphone	none
derekdimatteo.com ↗	64 match 2 shared topics	Derek F. DiMatteo, PhD – Derek F. DiMatteo, PhD, is a scholar of American literature and cultural studies at Gannon University in Erie, PA	en	education WordPress	robotsllmsaihumans	emailphone	none
adventuresinliteracyland.com ↗	63 match 2 shared topics	Adventures in Literacy Land	en	education	robotsllmsaihumans	emailphone	none
adps.org ↗	63 match 2 shared topics	Alpha Delta Phi Society – A gender-inclusive literary society	en	education WordPress WooCommerce	robotsllmsaihumans	emailphone	none
jcsif.org ↗	63 match 2 shared topics	Journal of Cultural Studies and Intellectual Freedom	en	education	robotsllmsaihumans	emailphone	none
simonandschuster.net ↗	62 match 2 shared topics	Simon & Schuster Education & Library Resources for Educators and Librarians \| Simon & Schuster	en	education	robotsllmsaihumans	emailphone	none
melissaaho.biz ↗	62 match 2 shared topics	Dr. Melissa Aho – Librarian, Instructor, Entrepreneur, Student Pilot, & Writer	en	education WordPress WooCommerce	robotsllmsaihumans	emailphone	none
melissaaho.info ↗	62 match 2 shared topics	Dr. Melissa Aho – Librarian, Instructor, Entrepreneur, Student Pilot, & Writer	en	education WordPress WooCommerce	robotsllmsaihumans	emailphone	none
melissaaho.me ↗	62 match 2 shared topics	Dr. Melissa Aho – Librarian, Instructor, Entrepreneur, Student Pilot, & Writer	en	education WordPress WooCommerce	robotsllmsaihumans	emailphone	none
melissaaho.org ↗	62 match 2 shared topics	Dr. Melissa Aho – Librarian, Instructor, Entrepreneur, Student Pilot, & Writer	en	education WordPress WooCommerce	robotsllmsaihumans	emailphone	none
melissaaho.net ↗	62 match 2 shared topics	Dr. Melissa Aho – Librarian, Instructor, Entrepreneur, Student Pilot, & Writer	en	education WordPress WooCommerce	robotsllmsaihumans	emailphone	none
galenalibrary.com ↗	62 match 2 shared topics	Welcome - Galena Public Library District	en	education WordPress	robotsllmsaihumans	emailphone	none
miltonsnyder.com ↗	62 match 2 shared topics	Milton Lee Pritchard Snyder PhD, academic and family memoir	en	education	robotsllmsaihumans	emailphone	none
threeteacherstalk.com ↗	62 match 2 shared topics	Three Teachers Talk \| Teacher-Mentors with Insights, Ideas, and Resources for Secondary Readers & Writers Workshop	en	education WordPress	robotsllmsaihumans	emailphone	none
mcplboard.org ↗	62 match 2 shared topics	Board of Trustees \| Mid-Continent Public Library	United States~ en	education Drupal	robotsllmsaihumans	emailphone	none
dibsforkids.org ↗	62 match 2 shared topics	BookLoop - We Bring the Library to Your Classroom	en	education WordPress	robotsllmsaihumans	emailphone	none
mineralcountylibrary.com ↗	62 match 2 shared topics	Home - Mineral County Library	en	education WordPress	robotsllmsaihumans	emailphone	none
jeffbenner.net ↗	62 match 2 shared topics	Jeff A. Benner - Author	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.