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Drinks marketing and branding professionals — 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
drinksnetwork.co.uk ↗	100 match 1 shared topics	Drinks marketing and branding professionals	GB en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
happyhv.com ↗	76 match 1 shared topics	Hong Van Le \| Marketing Professional	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
samradhinagar.com ↗	75 match 1 shared topics	Samradhi Nagar — Marketing Professional	en	marketing-and-advertising	robotsllmsaihumans	email phone	none
derekzender.com ↗	74 match 1 shared topics	Derek Zender – Digital Marketing Professional	en	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
abrarsohail.com ↗	74 match 1 shared topics	Home - Abrar Sohail-Digital Marketing Professional	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
surgimarketing.com ↗	74 match 1 shared topics	Surgi Marketing \| Marketing for Surgeons and Medical Professionals	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
3sixtymktg.com ↗	74 match 1 shared topics	Promotional Products and Branding Pensacola \| 3SIXTY Marketing	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	email phone	none
3sixtyprinting.com ↗	74 match 1 shared topics	Promotional Products and Branding Pensacola \| 3SIXTY Marketing	en	marketing-and-advertising WordPress WooCommerce	robots llmsaihumans	email phone	none
johnciriak.com ↗	74 match 1 shared topics	John Ciriak \| Marketing Professional	US~ en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
jordanianelson.com ↗	74 match 1 shared topics	Jordania Nelson \| PR & Marketing Professional	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
lukegrowth.com ↗	74 match 1 shared topics	Home - Luke Marketing and Branding Agency	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
natalielorenzo.com ↗	74 match 1 shared topics	Natalie Lorenzo \| Marketing Professional & Wellness Teacher	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
nathanameyer.com ↗	74 match 1 shared topics	Nate Meyer – Marketing Professional	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
uppercorp.com ↗	73 match 1 shared topics	UpperCorp - Digital Marketing Tools for Marketing Professionals	en	marketing-and-advertising Webflow	robotsllmsaihumans	emailphone	none
johnslimak.com ↗	73 match 1 shared topics	John Slimak - Accomplished SEO and Internet Marketing Professional	US~ en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
hardman-digital.com ↗	73 match 1 shared topics	Hardman Digital - Digital Marketing Professional	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
cryptomarketing.digital ↗	73 match 1 shared topics	Crypto Marketing Agency - Cryptocurrency Advertising Professionals	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
joeloeppky.com ↗	73 match 1 shared topics	Joe Loeppky - Performance Marketing Professional	en	marketing-and-advertising	robotsllmsaihumans	emailphone	partial · 8

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.