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Christopher Whitlatch – Author, Game Creator, and Experienced Marketer and Communicator — 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
christopherpaulguido.com ↗	67 match 1 shared topics	Christopher Paul Guido – Author	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
christopherconway.org ↗	67 match 1 shared topics	Christopher Conway – Author, Teacher, Amateur Sketcher	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
christopherwhitebooks.com ↗	67 match 1 shared topics	Christopher White, Author – New Book: The Last Lobster	en	books-and-literature WordPress WooCommerce	robotsllmsaihumans	emailphone	none
christophertradowsky.com ↗	67 match 1 shared topics	Christopher Tradowsky – writer, artist, and educator	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
chriswhitebooks.com ↗	66 match 1 shared topics	Christopher White \|	en	books-and-literature WordPress WooCommerce	robotsllmsaihumans	emailphone	none
douglasdavey.com ↗	66 match 1 shared topics	Douglas Davey – author, librarian, creator, wag	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
charlotteluhamilton.com ↗	66 match 1 shared topics	Charlotte Lu Hamilton – Author, creator, podcaster	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
christopherfielden.com ↗	66 match 1 shared topics	Christopher Fielden: Short Story Author, Editor, Publisher	en	books-and-literature WordPress	robotsllmsaihumans	email phone	none
charliehicksauthor.com ↗	66 match 1 shared topics	Charlie Hicks – Author – An Indie author sharing thoughts ideas and experiences	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
christopherdewdney.com ↗	66 match 1 shared topics	Christopher Dewdney, Author	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
christopherbowron.com ↗	66 match 1 shared topics	Christopher Bowron \| Author	en	books-and-literature WordPress WooCommerce	robotsllmsaihumans	emailphone	none
christopherstollar.com ↗	66 match 1 shared topics	Christopher Stollar \| Award-Winning Author and Sought-After Speaker	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
chrissmithbooks.com ↗	66 match 1 shared topics	Christopher Smith – Books	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
chayealexander.com ↗	65 match 1 shared topics	Chaye Alexander \| Experience Curator \| Author \| Creative Visionary	en	books-and-literature Wix	robots llmsaihumans	emailphone	none
trudywakefield.com ↗	65 match 1 shared topics	Trudy Wakefield – Author, Speaker, and Trainer	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
christopher-silver.com ↗	65 match 1 shared topics	Christopher Silver - scottish writer and journalist	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
ronnagarcia.com ↗	65 match 1 shared topics	Ronna Garcia – Author, Teacher, Wife, Mother and Grandmother	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
abigalmuchecheti.com ↗	65 match 1 shared topics	Dr Abigal Muchecheti – Author, Researcher, and Equity Advocate	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.