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Thomas Fahy – Thomas Fahy, Author, Professor, Director English Graduate Program, LIU — 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 →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
aaronbelkin.org ↗	68 match 1 shared topics	Aaron Belkin \| Professor, Author, Executive Director	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
layoubi.com ↗	67 match 1 shared topics	Laila Anwarzai Ayoubi – Professor, Author, Activist.	en	books-and-literature WordPress WooCommerce	robotsllmsaihumans	emailphone	none
thegardenstatuary.com ↗	65 match 1 shared topics	The Garden Statuary – UBC's Undergraduate English Journal	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
rosaryoneill.com ↗	65 match 1 shared topics	Author, Playwright, Director, Teacher - Rosary Hartel O'Neill	en	books-and-literature	robotsllmsaihumans	emailphone	none
ctompublishing.com ↗	64 match 1 shared topics	CTOM Publishing – Official home of children's book author, Christopher Thomas!	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
clementinedecremps.com ↗	64 match 1 shared topics	Clémentine Decremps – Editor & Director	en	books-and-literature WordPress WooCommerce	robotsllmsaihumans	emailphone	none
leahstellapayne.com ↗	64 match 1 shared topics	Leah Payne – Writer, editor, librarian, author	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
rossbonny.com ↗	64 match 1 shared topics	Ross Bonny – Author	en	books-and-literature WordPress WooCommerce	robotsllmsaihumans	emailphone	none
lyndamiathompsonwriting.com ↗	63 match 1 shared topics	Lynda Thompson \| Author	en	books-and-literature WordPress WooCommerce	robotsllmsaihumans	emailphone	none
voidshelves.com ↗	63 match 1 shared topics	the void – yes, i'm an english major	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
rosiethomasauthor.com ↗	63 match 1 shared topics	Rosie Thomas \| Award-winning author and keen traveller	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
rowenatam.com ↗	63 match 1 shared topics	Rowena Tam – Educator, Author, Storyteller, writer \| Rowena Tam	en	books-and-literature	robotsllmsaihumans	emailphone	none
madalynmorgan.com ↗	63 match 1 shared topics	Madalyn Morgan – Author, Actress, Radio Presenter, Poet	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
heathleeauthor.com ↗	63 match 1 shared topics	Heath Hardage Lee, Author – The League of Wives author, Women's history writer, Women's biographies	en	books-and-literature	robotsllmsaihumans	emailphone	none
rosemariedamico.com ↗	63 match 1 shared topics	Rosemarie D'Amico – Writer, author, and voracious reader	en	books-and-literature WordPress WooCommerce	robotsllmsaihumans	emailphone	none
lynnablackwood.com ↗	63 match 1 shared topics	Lynn A Blackwood – Author, Father, Salesman.	en	books-and-literature WordPress WooCommerce	robotsllmsaihumans	emailphone	none
leannjuengerman.com ↗	63 match 1 shared topics	Leann Juengerman – Author, Teacher, Speaker	en	books-and-literature WordPress WooCommerce	robotsllmsaihumans	emailphone	none
ronnagarcia.com ↗	63 match 1 shared topics	Ronna Garcia – Author, Teacher, Wife, Mother and Grandmother	en	books-and-literature WordPress	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.