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Samuel OConnell – Creative Leader — 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
samuel-isaacs.com ↗	68 match 2 shared topics	Samuel Isaacs - Brand, Leadership, & Strategy, with a Creative Edge.	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
joystormer.com ↗	66 match 2 shared topics	Julie Rae Burke – Strategic, Creative, Marketing Leader generating Joy	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
joelfoffanicreative.com ↗	65 match 2 shared topics	Joel Foffani Creative - Multi-award winning creative leader, with over 15 years experience.	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
barryshafrin.com ↗	65 match 2 shared topics	Barry Shafrin \| Creative Strategist — Brand Storytelling, Leadership & Innovation	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
joetertel.com ↗	64 match 2 shared topics	Joe Tertel — Growth Marketing Leader	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
lucyvinnicombe.com ↗	64 match 2 shared topics	Lucy Bursey - Product Leader	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
lucybursey.com ↗	64 match 2 shared topics	Lucy Bursey - Product Leader	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
5-eleadershipandmarketing.com ↗	63 match 2 shared topics	Latinas Leadership & Marketing	en	marketing-and-advertising Squarespace Squarespace Commerce	robotsllmsaihumans	emailphone	none
sandrobotelho.com ↗	63 match 2 shared topics	Sandro Botelho \| Senior Marketing Executive & Growth Leader	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
joshuaheid.com ↗	63 match 2 shared topics	Joshua Heid – Marketing Strategy, Growth & Digital Leadership	en	marketing-and-advertising WordPress WooCommerce	robots llmsaihumans	emailphone	none
natenng.com ↗	63 match 2 shared topics	Nate Ng — Senior Growth Leader	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
100leadershipinsights.com ↗	63 match 2 shared topics	100 Leadership Insights Home Page	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
lucianotumminello.com ↗	63 match 2 shared topics	Luciano Tumminello \| Marketing & Operations Leader	en	executive-leadership-and-management	robots llmsaihumans	emailphone	none
hatemelshiekh.com ↗	63 match 2 shared topics	Hatem El Shiekh \| Digital Marketing Leader \| MENA	AE~ en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
dialectholdings.com ↗	62 match 2 shared topics	DIALECT NY \| Embedded Marketing Leadership for Ambitious Brands	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
adamnavarrete.com ↗	62 match 2 shared topics	Adam Navarrete - Digital Marketing & Product Strategy Leader	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
joedimeglio.com ↗	62 match 2 shared topics	Joe DiMeglio — Marketing Leadership & Growth Transformation	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
josephjaffe.com ↗	62 match 2 shared topics	Joseph Jaffe \| 5 Time Author, Speaker, Marketing Thought Leader	en	executive-leadership-and-management 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.