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OpenOcean — Digital vækst for ambitiøse virksomheder — 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
pumacode.dk ↗	69 match 2 shared topics	Ai0 – Webshops, Marketing & Digital Vækst	Denmark da	marketing-and-advertising WordPress WooCommerce	robots llmsaihumans	email phone	partial · 8
nspire.dk ↗	42 match 2 shared topics	Nspire.dk \| Strategi, Web & Marketing	Denmark da	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
onlm.dk ↗	39 match 1 shared topics	Generaxion – Performance i en verden af digitale platforme	Denmark da	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
offbeatmedia.dk ↗	39 match 1 shared topics	Think Next – Strategisk kommunikation og digital udvikling	Denmark da	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
oemand.dk ↗	37 match 1 shared topics	Digital Marketing & Branding Strategist \| Claus Ømand	Denmark da	marketing-and-advertising	robotsllmsaihumans	email phone	none
plutonic.dk ↗	37 match 1 shared topics	1# Digital Marketing Bureau → Plutonic Media	Denmark da	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
peytz.dk ↗	37 match 1 shared topics	Full-service digitalt bureau \| Peytz - part of iO	Denmark da	marketing-and-advertising HubSpot	robotsllmsaihumans	emailphone	none
blumensaadt.net ↗	37 match 1 shared topics	Safemarketing ApS - Digital marketing der sælger.	da	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	email phone	none
spinnakernordic.com ↗	36 match 1 shared topics	Spinnaker Nordic \| Digital Markedsføring \| Insourcing & Vækst	da	marketing-and-advertising Shopify	robots llmsaihumans	email phone	none
ppcmedia.dk ↗	36 match 1 shared topics	Hjem - Ppcmedia	Denmark da	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
pelea.dk ↗	36 match 1 shared topics	Alexandru Pelea \| Digital Marketing & PPC Solutions	Denmark da	marketing-and-advertising	robotsllmsaihumans	emailphone	none
a-better-traffic.com ↗	36 match 1 shared topics	Zangenberg & Partners - Få hjælp til at vokse på nettet!	da	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
oliverfranklin.dk ↗	35 match 1 shared topics	Oliver Franklin \| Digital Marketing Manager	Denmark da	marketing-and-advertising	robotsllmsaihumans	emailphone	none
orskovdigital.dk ↗	35 match 1 shared topics	Ørskov Digital - Ærlige og kreative digitale strategier	Denmark da	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
ptrasmussen.dk ↗	35 match 1 shared topics	Patrick T. Rasmussen — Fractional CMO & Marketingchef	Denmark da	marketing-and-advertising	robotsllmsaihumans	emailphone	none
outsource.dk ↗	34 match 1 shared topics	Digitalt marketingbureau i Aarhus \| Outsource DK	Denmark da	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
pl-partners.dk ↗	34 match 1 shared topics	PL & Partners: Digitalt Marketing Bureau	Denmark da	marketing-and-advertising	robotsllmsaihumans	email phone	none
oaksmond.dk ↗	34 match 1 shared topics	Oaksmond \| Din vækstpartner i performance marketing	Denmark 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.