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Ambre Adams | Creative Marketing & Communications Professional — 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
blendmarketing.com.au ↗	75 match 1 shared topics	Blendmarketing \| Creative Communications	Australia en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
mlmkt.com ↗	74 match 1 shared topics	Morninglight Marketing & Communications \| content creation	en	marketing-and-advertising Wix	robots llmsaihumans	emailphone	none
kaylaswanson.com ↗	74 match 1 shared topics	Kayla Swanson – Marketing & Communications Pro	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
debbiemckinnon.com ↗	73 match 1 shared topics	Debbie McKinnon – Creative Marketing Communications	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
caseyrichardsonportfolio.com ↗	73 match 1 shared topics	Casey Richardson – Marketing & Communications/Broadcasting Professional	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
sierrasorrentino.com ↗	73 match 1 shared topics	Sierra Sorrentino – Communications, Marketing & Events Professional	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
catvangorden.com ↗	73 match 1 shared topics	Catherine VanGorden — Communications & Marketing Professional	en	marketing-and-advertising	robotsllmsaihumans	emailphone	partial · 8
silviabaroni.com ↗	73 match 1 shared topics	Silvia Baroni - Writer I Editor I Marketing Communications Professional	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
priyotosh.com ↗	72 match 1 shared topics	Priyotosh Das – Communications Professional	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
katefaulksfreelance.com ↗	72 match 1 shared topics	Kate Faulks – Freelance Marketing & Communications	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
brianwrong.com ↗	71 match 1 shared topics	Brian Wright \| Brand Marketing & Communications Leader	en	marketing-and-advertising Wix	robots llmsaihumans	emailphone	none
dbamar.com ↗	71 match 1 shared topics	DBA Marketing Communication	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
kellisheppard.com ↗	71 match 1 shared topics	Marketing & Communications Expert \| Kelli Sheppard	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
cegroupinc.net ↗	71 match 1 shared topics	CE Group \| Experiential Marketing & Communications	en	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
bellebridge.com.au ↗	71 match 1 shared topics	Eleanor Bridger \| Communications and Marketing \| Professional Historian - Bellebridge	Australia en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	email phone	none
creativeyes.co.uk ↗	71 match 1 shared topics	Branding & Communications Consultancy - Creativeyes	United Kingdom en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
d100comms.co.uk ↗	71 match 1 shared topics	D100 Comms - Marketing, Communications & Environmental Professionals = Homepage	United Kingdom en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
0tohigh.com ↗	71 match 1 shared topics	0ToHigh \| Creative Marketing & Software Solutions	en	marketing-and-advertising	robotsllmsaihumans	email phone	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.