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NextGen USA in Miami | In-Person Marketing Firm based in Florida — 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
beca-alliance.com ↗	68 match 2 shared topics	BECA \| C-Suite Marketing Executives Alliance	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
abmleadershipalliance.com ↗	67 match 2 shared topics	Account-Based Marketing Leadership Alliance \| ABMLA	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
natalieshpiegel.com ↗	67 match 2 shared topics	Natalie Shpiegel \| Director of Sales and Marketing	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
alligroberts.com ↗	66 match 2 shared topics	Allison G. Roberts – Marketing, Training & Development Executive	en	executive-leadership-and-management WordPress	robotsllmsaihumans	emailphone	none
matthewhammon.info ↗	66 match 2 shared topics	Matthew Hammon \| New York-based tech marketing executive	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
kellyyale.com ↗	66 match 2 shared topics	Kelly Yale \| Marketing \| Sales \| Technology \| Business Development	en	marketing-and-advertising	robots llmsaihumans	email phone	none
mykpono.com ↗	65 match 2 shared topics	Myk Pono \| Product Management, Product-led Growth, GTM, Marketing	en	marketing-and-advertising Ghost	robotsllmsaihumans	emailphone	none
bakaya.com.au ↗	65 match 2 shared topics	Fractional CGO and Head of Marketing for B2B Founders \| BAKAYA	Australia en	executive-leadership-and-management	robotsllmsaihumans	emailphone	none
delegatefirst.com ↗	65 match 2 shared topics	Marketing for Coaches \| Delegate First	en	marketing-and-advertising WordPress Lightspeed	robotsllmsaihumans	emailphone	none
thaddeushenderson.com ↗	65 match 2 shared topics	Thaddeus Henderson — Senior Marketing Leader	en	marketing-and-advertising	robotsllmsaihumans	emailphone	partial · 8
melissamurphymarketing.com ↗	65 match 2 shared topics	Melissa Murphy Marketing	en	marketing-and-advertising WordPress	robots llmsaihumans	emailphone	none
gauravoberoi.me ↗	65 match 2 shared topics	Gaurav Oberoi - Fractional CMO \| Marketing Leadership & Growth Strategy	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
8signal.com ↗	65 match 2 shared topics	Fractional Chief Marketing Officer Homepage - 8 SIGNAL	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
nadiakouri.com ↗	65 match 2 shared topics	Nadia Kouri – Leader in B2B Marketing, Pipeline Generation, & GTM Strategy	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
alvarogrowth.com ↗	65 match 2 shared topics	Alvaro Ruiz Ortiz — Growth Marketing Executive	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
minchomarketing.com ↗	65 match 2 shared topics	Web3 marketing leadership, built for the AI era	en	marketing-and-advertising WordPress	robots llmsaihumans	emailphone	none
zohaiburrehman.com ↗	65 match 2 shared topics	Chief Marketing Officer - Zohaib Ur Rehman	en	marketing-and-advertising	robotsllmsaihumans	email phone	none
deepikapillai.com ↗	65 match 2 shared topics	Deepika Pillai - Strategic Product Marketing Leader	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.