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Lise Weil - Award-winning author, editor and translator — 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
annettebdunlap.com ↗	70 match 1 shared topics	Annette B Dunlap – Award-Winning Author	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
katharinequarmby.com ↗	70 match 1 shared topics	Katharine Quarmby – Award-winning writer, editor and journalist.	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
anitasethi.com ↗	69 match 1 shared topics	Anita Sethi – award-winning author, writer & journalist	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
cynthialclark.com ↗	69 match 1 shared topics	Cynthia L. Clark – — Award-Winning Author —	en	books-and-literature WordPress WooCommerce	robots llmsaihumans	emailphone	none
katherinecourage.com ↗	69 match 1 shared topics	Katherine Harmon Courage – Award-winning journalist + editor + author	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
brucepiasecki.com ↗	69 match 1 shared topics	Bestselling Author \| Bruce Piasecki Award-winning Author	en	books-and-literature Wix	robots llmsaihumans	emailphone	none
annelaurelcarter.com ↗	68 match 1 shared topics	Anne Laurel Carter \| An award-winning Canadian Author	en	books-and-literature WordPress WooCommerce	robotsllmsaihumans	emailphone	partial · 8
dandibooks.com ↗	68 match 1 shared topics	Dandi Daley Mackall \| Award Winning Author	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
onesweetwriter.com ↗	67 match 1 shared topics	Elizabeth Pagel-Hogan, Award-Winning Children's Book Author	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
camilladelabedoyere.co.uk ↗	67 match 1 shared topics	Camilla de la Bedoyere - Author and editor	United Kingdom en	books-and-literature WordPress WooCommerce	robotsllmsaihumans	emailphone	none
dandekoning.com ↗	67 match 1 shared topics	Dan DeKoning - Author & Editor	en	books-and-literature	robotsllmsaihumans	emailphone	none
katcanfield.com ↗	67 match 1 shared topics	Kat Canfield \| Author, Editor, Blogger	en	books-and-literature WordPress WooCommerce	robotsllmsaihumans	emailphone	none
anotherseanbernard.com ↗	67 match 1 shared topics	home – author, editor, teacher, eater	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
daniellecharbonneau.com ↗	67 match 1 shared topics	Danielle Charbonneau - Award-Winning Author & Investigative Journalist \| Available for Book Deals	en	books-and-literature	robotsllmsaihumans	emailphone	none
ericmbbecker.com ↗	66 match 1 shared topics	Eric M. B. Becker \| Writer, Editor & Translator from the Portuguese	en	books-and-literature WordPress WooCommerce	robots llmsaihumans	emailphone	none
albertwhitman.com ↗	66 match 1 shared topics	AW Kids' Books \| Award-Winning Children's Books	en	books-and-literature WordPress WooCommerce	robotsllmsaihumans	email phone	none
virginiacastleman.com ↗	66 match 1 shared topics	Virginia Castleman – Author, Editor, Professor	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
katypye.com ↗	66 match 1 shared topics	Katy Pye \| Award-winning novel, sea turtle and pollinator conservation/education/action	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.