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Kevin S. Parikh, CEO, Author, Speaker, Futurist, and Philanthropist. — 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
johnprevas.com ↗	70 match 1 shared topics	John Prevas \| Author, Speaker, Mediator, and Classics Scholar	US~ en	books-and-literature	robotsllmsaihumans	emailphone	none
cassieahmoore.com ↗	69 match 1 shared topics	Cassie A.H. Moore – Author, Speaker, & Leadership and Engagement Consultant	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
namonandrea.com ↗	69 match 1 shared topics	Namon Abe Andrea \| Author, Speaker & Leadership Thinker	en	books-and-literature	robotsllmsaihumans	emailphone	none
adamgee.com ↗	68 match 1 shared topics	Adam Gee — Author, Speaker & Entrepreneur	en	books-and-literature	robotsllmsaihumans	emailphone	none
jojodries.com ↗	68 match 1 shared topics	JoJo Dries \| Author, Speaker & Survivor Advocate	en	books-and-literature WordPress WooCommerce	robotsllmsaihumans	emailphone	none
joelfotinos.com ↗	68 match 1 shared topics	Joel Fotinos \| Publisher, Author, Speaker, and Minister	en	books-and-literature WordPress WooCommerce	robotsllmsaihumans	emailphone	none
jodibblee.com ↗	68 match 1 shared topics	Jo Dibblee – Author of bestselling books and philanthropist	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
susanefoster.com ↗	68 match 1 shared topics	Susan E Foster \| Author, Speaker, Advocate	en	books-and-literature WordPress WooCommerce	robotsllmsaihumans	emailphone	none
cathyday.com ↗	68 match 1 shared topics	Cathy Day: Author, Speaker, Literary Citizen	en	books-and-literature WordPress WooCommerce	robotsllmsaihumans	emailphone	none
carriemlane.com ↗	68 match 1 shared topics	Carrie M. Lane – Anthropologist, author, and professor who studies the changing nature of work in contemporary life	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	none
johncrivellone.com ↗	68 match 1 shared topics	John Crivellone \| Investigator, Author, Speaker, Consultant	en	books-and-literature	robotsllmsaihumans	emailphone	none
abimbolaalaka.com ↗	67 match 1 shared topics	Abimbola Alaka - Author \| Speaker \| Educator	en	books-and-literature WordPress WooCommerce	robotsllmsaihumans	emailphone	none
activateyourcompass.com ↗	67 match 1 shared topics	Jill Ann Billingsley, Author, Speaker, Youth Coach	en	books-and-literature	robotsllmsaihumans	emailphone	none
catherinenixoncooke.com ↗	67 match 1 shared topics	Catherine Nixon Cooke \| Author and Speaker	en	books-and-literature	robotsllmsaihumans	emailphone	none
dqjfoundation.org ↗	67 match 1 shared topics	DQJ Foundation \| Literature and Philanthropy	en	books-and-literature	robotsllmsaihumans	emailphone	none
jo-anneberthelsen.com ↗	67 match 1 shared topics	Jo-Anne Berthelsen, Author and Speaker - Jo-Anne Berthelsen, Christian Author and Speaker	en	books-and-literature Weebly	robotsllmsaihumans	emailphone	none
harryhorse.com ↗	66 match 1 shared topics	Harry Horse - British author, cartoonist, and illustrator	en	books-and-literature	robotsllmsaihumans	emailphone	none
sallywienergrotta.com ↗	66 match 1 shared topics	Sally Wiener Grotta \| Author, Photographer & Speaker	en	books-and-literature WordPress	robotsllmsaihumans	emailphone	partial · 3

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.