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AWORK Webbureau – Professionel Hjemmeside & Online Markedsføring — 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
stmattschurch.com ↗	66 match 1 shared topics	Linkedin markedsføring - Linkedin annoncering	da	marketing-and-advertising	robotsllmsaihumans	emailphone	none
digitalmads.dk ↗	66 match 1 shared topics	Mads Nordskov - Ekspert i SEO & linkbuilding. Jeg har arbejdet professionelt på Internettet i 27 år.	Denmark da	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
2avision.com ↗	66 match 1 shared topics	Marketing og økonomi konsulenterne – Digital eller trykt markedsføring og digitalt bogholderi	da	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
dmuddannelse.dk ↗	65 match 1 shared topics	Bigum&Co \| Kurser og uddannelser i AI & Digital Markedsføring	Denmark da	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
danskmarkedsfoering.dk ↗	65 match 1 shared topics	Dansk Markedsføring → Et magasin om marketing i Danmark	Denmark da	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
dmedia.dk ↗	65 match 1 shared topics	Digital Media – Digital Medias hjemmeside	Denmark da	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
digitypes.dk ↗	64 match 1 shared topics	Digitypes \| Full service marketing bureau	Denmark da	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
danielnielsen.dk ↗	64 match 1 shared topics	Daniel Nielsen - Specialist i online medier & Fotograf	Denmark da	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
dadkhah.dk ↗	63 match 1 shared topics	Mohammad Dadkhah - Ekspert i Google Ads, SEO & Linkbuilding	Denmark da	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
demib.dk ↗	63 match 1 shared topics	Mikkel deMib Svendsen – SEO siden 1996	Denmark da	marketing-and-advertising WordPress WooCommerce	robots llmsaihumans	emailphone	none
ditbrand.dk ↗	63 match 1 shared topics	Ditbrand.dk - Brand- og marketingmateriale gjort nemt - bestil i dag	Denmark da	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
djboderek.dk ↗	63 match 1 shared topics	Digital marketing	Denmark da	marketing-and-advertising	robotsllmsaihumans	email phone	none
detsidstebureau.dk ↗	62 match 1 shared topics	Det Sidste Bureau	Denmark da	marketing-and-advertising	robots llmsaihumans	emailphone	none
detlef.dk ↗	62 match 1 shared topics	SoMe, web, marketing & kommunikation	Denmark da	marketing-and-advertising	robotsllmsaihumans	email phone	none
cateringsalesnow.com ↗	62 match 1 shared topics	CateringSalesNow — Mark Haugaard \| Catering Vækst & Marketing Danmark	United Arab Emirates~ da	marketing-and-advertising	robotsllmsaihumans	emailphone	none
salestring.com ↗	62 match 1 shared topics	salestring.com - Flere kunder i din webshop	da	marketing-and-advertising WordPress	robots llmsaihumans	emailphone	none
crawl.dk ↗	62 match 1 shared topics	Upersonlige søgeresultater fra Google \| Crawl.dk	Denmark da	marketing-and-advertising	robotsllmsaihumans	emailphone	none
saleable.io ↗	62 match 1 shared topics	Saleable – Næste generations tilbudsfeed til detailhandel	da	marketing-and-advertising	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.