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Jason D. Dempsey – Listen Process Apply — 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
derekzender.com ↗	69 match 1 shared topics	Derek Zender – Digital Marketing Professional	en	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
afo.io ↗	68 match 1 shared topics	Adrian Fraguela	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
beckybinns.com ↗	67 match 1 shared topics	Becky Binns – Marketing Professional. Self Starter. Loud Laugher.	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
nataliecolbert.com ↗	67 match 1 shared topics	Natalie Colbert - Creative Strategist	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
beeramy.com ↗	67 match 1 shared topics	Amy Martin \| Craft Beer Marketing	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	full · 12
dcwertalik.com ↗	67 match 1 shared topics	Donna Wertalik – Seasoned Academic & Professionally Adept Marketing Maven	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
aaronedwardsmarketing.com ↗	66 match 1 shared topics	Aaron Edwards – Professional Marketing Solutions Based in Asheville	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
vlahmarketing.com ↗	66 match 1 shared topics	Business Process Automation \| VLAH Marketing	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
derylcason.com ↗	66 match 1 shared topics	Deryl Cason Jr \| Marketing \| Communications \| Content \| Creative	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
mikeurbonas.org ↗	66 match 1 shared topics	Mike Urbonas – Product marketing, innovation, content creation, business intelligence and intelligent business.	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
kewlbeerd.com ↗	66 match 1 shared topics	Kewlbeer'd.com – Marketing supporting sells and professional ideas. " putting ideas together"	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
bec-uhh.com ↗	66 match 1 shared topics	Home \| Hi, I'm Becca - Digital Marketing and Media Professional	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
kirknewell.com ↗	66 match 1 shared topics	Kirk Newell \| Digital Marketing & Marketing Operations Professional	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
sjtmarketing.net ↗	66 match 1 shared topics	SJT Marketing LLC	en	marketing-and-advertising	robots llmsaihumans	emailphone	none
ncrilists.com ↗	66 match 1 shared topics	NCRI List and Marketing Services	United States~ en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
jsncruz.blog ↗	66 match 1 shared topics	Jason Cruz – Adman. Teacher. Creator.	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
crystalmuhmefitch.com ↗	65 match 1 shared topics	Crystal Muhme Fitch Portfolio – Crystal is an experienced marketing communications professional with 15+ years of experience.	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
aakashvaani.com ↗	65 match 1 shared topics	Curiosity Driven Product and Marketing Professional - Blog and Showcase Work \| Aakash Malik	en	marketing-and-advertising	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.