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Corporate Keynote Speaker | Ron Tite — 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
theuhlirs.com ↗	72 match 2 shared topics	Chief Marketing Officer \| Leadership Keynote Speaker \| Growth Catalyst	en	executive-leadership-and-management WordPress	robotsllmsaihumans	emailphone	none
jacquelinewoods.com ↗	66 match 2 shared topics	Jacqueline Woods - The 360° Leadership \| CMO \| Author \| Speaker	en	marketing-and-advertising WordPress	robots llmsaihumans	emailphone	none
jeffdarville.com ↗	64 match 2 shared topics	Jeff Darville, PhD, MSOL, Marketing Leadership	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
mccarthyanddaughters.com ↗	64 match 2 shared topics	Jill McCarthy - Enterprise Marketing & Communications Executive \| McCarthy And Daughters	en	executive-leadership-and-management WordPress WooCommerce	robotsllmsaihumans	email phone	none
wearecamo.com ↗	64 match 2 shared topics	Fractional Chief Marketing Officer \| CAMO Marketing	United States~ en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
savani.io ↗	64 match 2 shared topics	MILAN SAVANI - Field Notes	en	marketing-and-advertising Weebly	robotsllmsaihumans	emailphone	none
janiquesmeets.com ↗	64 match 2 shared topics	Janique Smeets - Senior Marketing Leader \| Brand Strategy & Digital Growth	en	marketing-and-advertising	robotsllmsaihumans	emailphone	partial · 8
jaredbolduc.com ↗	64 match 2 shared topics	Jared Bolduc - Growth & GTM Leader	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
ripplefx.co ↗	63 match 2 shared topics	Ripple FX — Fractional Marketing Leadership	Colombia en	marketing-and-advertising	robotsllmsaihumans	emailphone	partial · 8
jamielockard.com ↗	63 match 2 shared topics	Jamie Lockard – Branding \| Marketing \| Leadership	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
maryna-rumiantseva.com ↗	63 match 2 shared topics	Maryna Rumiantseva — Fractional CMO for Tech Companies	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
jamesharbour.net ↗	63 match 2 shared topics	Mr. Harbour \| Marketing Leadership for B2B Series A Founders	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
jamesharbour.com ↗	63 match 2 shared topics	Mr. Harbour \| Marketing Leadership for B2B Series A Founders	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
markcmo.com ↗	63 match 2 shared topics	Mark Gabrielli \| Fractional CMO & COO \| Healthcare, Aerospace & SaaS Growth Expert	United States~ en	marketing-and-advertising	robots llms ai humans	email phone	full · 20
markpilip.com ↗	63 match 2 shared topics	PilipBlog \| Mark Pilipczuk – Marketing and Leadership	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
sayyea.com ↗	63 match 2 shared topics	Matty Sayer \| Growth Marketing, Demand Gen and GTM Leader	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
tische.co ↗	63 match 2 shared topics	ANNA TISCHE	Colombia en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
jefferybosworth.com ↗	63 match 2 shared topics	Jeffrey Bosworth - Fractional CMO	en	marketing-and-advertising WordPress	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.