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Bookshelf • Best Selling Books by #1 New York Times Bestselling Author Sylvia Day — 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
kylemills.com ↗	79 match 2 shared topics	Kyle Mills: #1 New York Times Bestselling Author	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
christyreece.com ↗	76 match 2 shared topics	Christy Reece, New York Times Bestselling Author of Dark Romantic Suspense	en	fiction	robotsllmsaihumans	emailphone	partial · 2
kymgrosso.com ↗	72 match 2 shared topics	Kym Grosso – New York Times Bestselling Author	en	books-and-literature WordPress WooCommerce	robotsllmsaihumans	emailphone	none
hesterbrowne.com ↗	72 match 2 shared topics	Hester Browne \| Home \| New York Times bestselling author	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
thelittleladyagency.co.uk ↗	72 match 2 shared topics	Hester Browne \| Home \| New York Times bestselling author	GB en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
storiesbyireen.com ↗	72 match 2 shared topics	IReen Weiss – Not Yet New York Times Bestselling Author	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
dorkdiaries.com ↗	72 match 2 shared topics	Dork Diaries – #1 New York Times Bestselling Series	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
cynthia-sweeney.com ↗	71 match 2 shared topics	Cynthia D'Aprix Sweeney - Bestselling Author of The Nest	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
cynthiadaprixsweeney.com ↗	71 match 2 shared topics	Cynthia D'Aprix Sweeney - Bestselling Author of The Nest	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
robertellismedia.com ↗	70 match 2 shared topics	Robert Ellis: Bestselling Author of Thrilling Novels \| Robert Ellis	en	books-and-literature	robotsllmsaihumans	emailphone	none
robintalley.com ↗	70 match 2 shared topics	Robin Talley – New York Times-bestselling author of young adult fiction	en	fiction WordPress WooCommerce	robotsllmsaihumans	emailphone	none
stormwolf.com ↗	69 match 2 shared topics	Stormwolf.com \| The official website of New York Times Bestselling author Michael A. Stackpole	en	fiction WordPress	robotsllmsaihumans	emailphone	none
cjcarmichael.com ↗	69 match 2 shared topics	CJ Carmichael \| USA Today Bestselling Author	en	fiction WordPress	robotsllmsaihumans	emailphone	partial · 2
cjlyonsbooks.com ↗	69 match 2 shared topics	New York Times Bestseller CJ Lyons – Thrillers with Heart	en	fiction WordPress WooCommerce	robotsllmsaihumans	emailphone	none
cjlyons.net ↗	69 match 2 shared topics	New York Times Bestseller CJ Lyons – Thrillers with Heart	en	fiction WordPress WooCommerce	robotsllmsaihumans	emailphone	none
cjlyonsauthor.com ↗	69 match 2 shared topics	New York Times Bestseller CJ Lyons – Thrillers with Heart	en	fiction WordPress WooCommerce	robotsllmsaihumans	emailphone	none
adriennebasso.net ↗	69 match 2 shared topics	Adrienne Basso : National Bestselling Author	en	books-and-literature	robotsllmsaihumans	emailphone	none
stuartmacbride.com ↗	68 match 2 shared topics	STUART MACBRIDE – The No.1 Sunday Times bestselling author	en	fiction WordPress WooCommerce	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.