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Sandy Jap:Marketing professor at Emory University, book author, and B2B expert — 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 Marketing And Advertising →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
thomasjpearce.com ↗	69 match 1 shared topics	Marketing Professional \| Thomas J Pearce	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
felipavillegas.com ↗	69 match 1 shared topics	Felipa Villegas \| Digital Marketing Professional	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
samradhinagar.com ↗	69 match 1 shared topics	Samradhi Nagar — Marketing Professional	en	marketing-and-advertising	robotsllmsaihumans	email phone	none
improreview.com ↗	68 match 1 shared topics	IM Pro Review - Internet Marketing Pro Reviews	en	marketing-and-advertising WordPress WooCommerce	robots llmsaihumans	emailphone	none
360owl-virtualtours.com ↗	68 match 1 shared topics	360 Media and Marketing Pros	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
coreymorris.com ↗	67 match 1 shared topics	Corey Morris: Digital Marketing Leader, Author, Speaker & Consultant	en	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
thisistimsresume.com ↗	67 match 1 shared topics	Tim Curtis \| Marketing Automation and Operations Expert	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
blazitmarketing.com ↗	67 match 1 shared topics	Digital Marketing Professionals \| Blazit Marketing	United States~ en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
torontolegalmarketingagency.com ↗	67 match 1 shared topics	Kaleidico - Professional Marketing and Lead Generation Agency	en	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
landscapingmarketing.org ↗	67 match 1 shared topics	Landscaping Marketing Pros	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
abdulhadi.online ↗	67 match 1 shared topics	Abdul Hadi - Digital Marketing Expert in Pakistan	en	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
openinbusiness.com ↗	67 match 1 shared topics	Voxilo - Marketing automation experts	Netherlands~ en	marketing-and-advertising	robotsllmsaihumans	email phone	none
authoritysolutions.com ↗	67 match 1 shared topics	Expert Digital Marketing Agency Services \| Authority Solutions®	en	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
topseohelp.com ↗	67 match 1 shared topics	Top SEO Help \| Online Marketing Expert	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
indeeza.com ↗	67 match 1 shared topics	Marketing and branding agency in the Pacific Northwest.	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
thirteenpixels.com ↗	67 match 1 shared topics	Bill Evans - Software Engineer, Email Marketing Expert and Entrepeneur	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
onthebrinkmarketinggroup.com ↗	67 match 1 shared topics	On The Brink Marketing Group - Digital Marketing Experts - Berlin	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
60secondmarketer.com ↗	67 match 1 shared topics	Marketing Tools, Tips, and Techniques from Leading Experts \| Jamie Turner	en	marketing-and-advertising 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.