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DMEA – Din Marketing- og Ecommerce-Assistent — 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
jp-marketing.net ↗	34 match 1 shared topics	JP Marketing \| Jørgen Lynge Petersen	da	marketing-and-advertising	robotsllmsaihumans	emailphone	none
2avision.com ↗	34 match 1 shared topics	Marketing og økonomi konsulenterne – Digital eller trykt markedsføring og digitalt bogholderi	da	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
blumensaadt.net ↗	34 match 1 shared topics	Safemarketing ApS - Digital marketing der sælger.	da	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	email phone	none
gwumedia.com ↗	34 match 1 shared topics	GWU Media \| Marketing & Hjemmesider til Håndværkere	Denmark~ da	marketing-and-advertising	robotsllmsaihumans	emailphone	none
adrollgroup.dev ↗	33 match 1 shared topics	Adroll gruppen - Online marketing, SEO, SEM, affiliate, e-mail marketing	da	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
theonlinegurus.com ↗	32 match 1 shared topics	Få hjælp til online markedsføring af erfarne konsulenter	da	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
accumolo.com ↗	30 match 1 shared topics	Dit digitale konsulenthus - Vi er pinligt passionerede ⎮ MCB	da	marketing-and-advertising HubSpot	robotsllmsaihumans	emailphone	none
a-better-traffic.com ↗	30 match 1 shared topics	Zangenberg & Partners - Få hjælp til at vokse på nettet!	da	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
ad-client.com ↗	30 match 1 shared topics	Outsourcet kundeservice for webshops \| AD Client	Denmark~ da	marketing-and-advertising Spree Commerce	robots llmsaihumans	email phone	none
larskrogh.com ↗	30 match 1 shared topics	Lars Krogh Consult \| Senior SEO-rådgivning	da	marketing-and-advertising	robotsllmsaihumans	emailphone	none
adtrix.com ↗	26 match 1 shared topics	Gratis Marketingtjek	da	marketing-and-advertising	robotsllmsaihumans	emailphone	none
a-team.company ↗	25 match 1 shared topics	A-team - ticket, marketing, services	da	marketing-and-advertising	robotsllmsaihumans	emailphone	none
nikolajviborg.com ↗	24 match 1 shared topics	Nikolaj Lykke Viborg \| AI der virker i marketing	Denmark~ da	marketing-and-advertising	robots llmsaihumans	emailphone	none
kventra.com ↗	22 match 1 shared topics	Kventra – Webdesign, Google Ads & SEO Bureau	da	marketing-and-advertising WooCommerce	robotsllmsaihumans	emailphone	none
adromi.com ↗	21 match 1 shared topics	Adromi.com – Performance agency	da	advertising-industry WordPress	robotsllmsaihumans	emailphone	none
gullev.co ↗	21 match 1 shared topics	Gullev & Co. – Amplify your Story: Expand your Business	Colombia da	management-consulting-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none
tuesdaycommunity.com ↗	21 match 1 shared topics	TUESDAYs mål er at skabe værdi for det danske samfund ved at styrke de SMV'er i Danmark, som har ambitioner om vækst og værdiskabelse.	da	business	robotsllmsaihumans	emailphone	none
analysedanmark.nu ↗	20 match 1 shared topics	Værdiskabende analyser af høj kvalitet \| Analyse Danmark	da	marketing-and-advertising WordPress	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.