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Heath Kamp | Product & Design Leadership — 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 Executive Leadership And Management →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
nextgenaileaders.com ↗	69 match 2 shared topics	AI Leadership	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
jaypwadhwani.com ↗	69 match 2 shared topics	Jay Wadhwani \| Product Management Leader	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
adamlewkovitz.com ↗	68 match 2 shared topics	Adam Lewkovitz — AI Product Leader	United States~ en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
lachezaratanasov.com ↗	68 match 2 shared topics	Catalyst Nexus \| Frontier AI Product Leader	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
lakeishalovett.com ↗	66 match 2 shared topics	LaKeisha Lovett \| XD, AI & Product Strategy Leader	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
lailaself.com ↗	66 match 2 shared topics	Laila Self - Self leadership AI Guide	en	executive-leadership-and-management Weebly	robotsllmsaihumans	emailphone	none
robincartier.com ↗	66 match 2 shared topics	Robin Cartier - Enterprise AI Product Leader — Robin Cartier	en	executive-leadership-and-management WordPress WooCommerce	robots llmsaihumans	emailphone	none
qstar.ai ↗	66 match 2 shared topics	Q* - Qstar.ai - Leadership for the Digital Age	en	executive-leadership-and-management Ghost	robotsllmsaihumans	emailphone	none
jeffreyleesmith.com ↗	65 match 2 shared topics	Jeffrey L. Smith — Documentation Leader	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
newhumanx.com ↗	65 match 2 shared topics	Human-Centered Leadership for AI Era \| New Human X	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
thekeithgreer.com ↗	65 match 2 shared topics	Keith Greer \| Keynote Speaker on AI, Clarity, and Leadership	en	executive-leadership-and-management Wix	robots llmsaihumans	emailphone	none
adamdanyal.com ↗	65 match 2 shared topics	Adam Danyal – Founder, AI For Leaders	en	executive-leadership-and-management WordPress	robotsllmsaihumans	emailphone	none
jarrodhumphrey.com ↗	65 match 2 shared topics	Jarrod Humphrey — Applied AI Leadership at Xavier	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
jeffcockrell.com ↗	64 match 2 shared topics	AI-Smart Leadership for Christ-Centered Leaders \| Jeff Cockrell	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
nextchapterteam.com ↗	64 match 2 shared topics	Faisal Hoque – Innovation, AI, Leadership & Transformation	en	executive-leadership-and-management WordPress WooCommerce	robotsllmsaihumans	emailphone	none
roadtoaiceo.com ↗	64 match 2 shared topics	Road to AI CEO - Pioneering Autonomous Business Leadership Research	en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
bobnolleyllc.com ↗	64 match 2 shared topics	Dr. Bob Nolley, PhD – Leadership That AI Needs in the Room	en	executive-leadership-and-management WordPress WooCommerce	robotsllmsaihumans	emailphone	none
thehumanincharge.com ↗	64 match 2 shared topics	AI Implementation for Leadership Teams \| The Human in Charge	en	executive-leadership-and-management	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.