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Niipit | Danmarks Største Markedsplads for private og 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
theonlinegurus.com ↗	65 match 1 shared topics	Få hjælp til online markedsføring af erfarne konsulenter	da	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
blumensaadt.net ↗	64 match 1 shared topics	Safemarketing ApS - Digital marketing der sælger.	da	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	email phone	none
2avision.com ↗	63 match 1 shared topics	Marketing og økonomi konsulenterne – Digital eller trykt markedsføring og digitalt bogholderi	da	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
brunmanagement.com ↗	63 match 1 shared topics	Brun Management \| Strategisk instagram ekspert	da	marketing-and-advertising Wix	robots llmsaihumans	emailphone	none
gwumedia.com ↗	63 match 1 shared topics	GWU Media \| Marketing & Hjemmesider til Håndværkere	Denmark~ da	marketing-and-advertising	robotsllmsaihumans	emailphone	none
a-better-traffic.com ↗	62 match 1 shared topics	Zangenberg & Partners - Få hjælp til at vokse på nettet!	da	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
hancehaus.com ↗	61 match 1 shared topics	Facebook and Instagram Ads Manager & Strategist \| Tik Tok Ads Manager & Strategist \| Ads Manager for Coaches and Course Creators \| The Ad Babe	da	marketing-and-advertising	robotsllmsaihumans	emailphone	none
accumolo.com ↗	61 match 1 shared topics	Dit digitale konsulenthus - Vi er pinligt passionerede ⎮ MCB	da	marketing-and-advertising HubSpot	robotsllmsaihumans	emailphone	none
dragoe.com ↗	35 match 1 shared topics	Erfaren kommunikationsrådgiver for techvirksomheder - Dragoe	da	management-consulting-industry WordPress	robotsllmsaihumans	email phone	none
nikolajviborg.com ↗	34 match 1 shared topics	Nikolaj Lykke Viborg \| AI der virker i marketing	Denmark~ da	marketing-and-advertising	robots llmsaihumans	emailphone	none
analysedanmark.nu ↗	34 match 1 shared topics	Værdiskabende analyser af høj kvalitet \| Analyse Danmark	da	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
binggeli.consulting ↗	32 match 1 shared topics	Brandhouse - Branded Behaviour ®	da	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
binggeli.nu ↗	32 match 1 shared topics	Brandhouse - Branded Behaviour ®	da	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
binggeli.rocks ↗	32 match 1 shared topics	Brandhouse - Branded Behaviour ®	da	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
binggeli.tv ↗	32 match 1 shared topics	Brandhouse - Branded Behaviour ®	da	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
brandguru.biz ↗	32 match 1 shared topics	Brandhouse - Branded Behaviour ®	da	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
brandguru.info ↗	32 match 1 shared topics	Brandhouse - Branded Behaviour ®	da	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
brandguru.tv ↗	32 match 1 shared topics	Brandhouse - Branded Behaviour ®	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.