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Tema Frank – Historical Fiction & Business Author, Speaker, Customer Experience Expert, Global Traveler — 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
kevincass.com ↗	67 match 1 shared topics	Kevin Cassidy – Author, Speaker, Business Owner, Hollywood Stuntman	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
francescogranieri.net ↗	66 match 1 shared topics	Francesco Granieri – Author, Speaker & Storyteller	en	books-and-literature WordPress WooCommerce	robotsllmsaihumans	emailphone	none
zoejwalker.com ↗	66 match 1 shared topics	In the absence of time machines, historical fiction becomes our portal to the past.	en	books-and-literature WordPress WooCommerce	robotsllmsaihumans	emailphone	none
nazasemenoff.com ↗	66 match 1 shared topics	Naza Semenoff - Non-fiction, Fiction, IT & Business Books Author	en	books-and-literature Squarespace Magento	robotsllmsaihumans	emailphone	none
rexalandavis.com ↗	66 match 1 shared topics	Rex Davis - Author, Veteran, Speaker, Curator of Stories	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
donaldrumball.com ↗	66 match 1 shared topics	Donald Rumball \| Author, speaker, commentator	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
donaldjcarey.org ↗	66 match 1 shared topics	Don Carey - Author, Speaker, Leader	en	books-and-literature	robotsllmsaihumans	emailphone	none
decadeofprofits.com ↗	65 match 1 shared topics	Home - Gail KittlesonGail Kittleson \| Historical Fiction – Writers Workshops	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
dennispaulonline.com ↗	65 match 1 shared topics	Home - Gail KittlesonGail Kittleson \| Historical Fiction – Writers Workshops	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
kimdoran.com ↗	65 match 1 shared topics	Kim Doran - Author, Speaker, Life Coach	en	books-and-literature	robotsllmsaihumans	emailphone	none
doncarey.org ↗	65 match 1 shared topics	Don Carey - Author, Speaker, Project Manager	en	books-and-literature	robotsllmsaihumans	emailphone	none
ginabu.com ↗	65 match 1 shared topics	Gina Buonaguro – Reviving women's lost stories through historical fiction	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
glorialwakabamba.com ↗	65 match 1 shared topics	Gloria Lwakabamba – Motivational Speaker, Author & Storyteller of Resilience	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
skinnydiabetics.com ↗	65 match 1 shared topics	Children's Book Author, Speaker, Literacy Promoter	en	books-and-literature WordPress WooCommerce	robotsllmsaihumans	emailphone	none
belindamays.com ↗	65 match 1 shared topics	Children's Book Author, Speaker, Literacy Promoter	en	books-and-literature WordPress WooCommerce	robotsllmsaihumans	emailphone	none
ginagreenlee.com ↗	65 match 1 shared topics	Gina Greenlee, Author, Speaker, Teacher, Coach \| Writers Coach	en	books-and-literature Wix	robots llmsaihumans	emailphone	none
globalkidmedia.com ↗	65 match 1 shared topics	Global Kid Media \| Teenage Author & Speaker	en	books-and-literature Wix	robots llmsaihumans	emailphone	none
crystallbass.com ↗	65 match 1 shared topics	Crystal L. Bass \| Author, Speaker & Visionary Storyteller	en	books-and-literature	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.