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DisTrade | WE ❤️ BRANDS - DISTRADE.DE | We love brands — 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
vowtothenew.com ↗	64 match 2 shared topics	leading brands into sustainable future - vow to the new	de	business	robotsllmsaihumans	emailphone	none
beakrate.com ↗	64 match 2 shared topics	Beakrate \| Revenue System für Shopify Brands	de	business	robotsllmsaihumans	emailphone	none
mipe.app ↗	64 match 2 shared topics	mipe \| Die Buchungsplattform für alle Branchen	Switzerland~ de	business	robots llmsaihumans	emailphone	none
wachstumstudio.com ↗	63 match 2 shared topics	Die Top Wachstumsagentur für Ihr Unternehmen - Mit erfolgreichen Wachstumsstrategien Gewinn steigern und Unternehmen skalieren - wachstumstudio.com	de	marketing-and-advertising	robotsllmsaihumans	email phone	none
damianprus.de ↗	63 match 2 shared topics	Internet Up GmbH – Führend in der D2C-Markenrevolution	Germany de	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
digibrand.digital ↗	62 match 2 shared topics	Berechnung des digitalen Markenwertes, DigiBrand	de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
vs-ecom-consulting.com ↗	62 match 2 shared topics	Vanessa Schmidt \| Marktplatz-Setup und Skalierung für E-Commerce-Brands	de	marketing-and-advertising WooCommerce	robotsllmsaihumans	emailphone	none
bcaard.com ↗	62 match 2 shared topics	Digitale Visitenkarte - Kunden gewinnen ohne Werbung.	de	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
das-unternehmer-buch.de ↗	62 match 2 shared topics	Wo sind meine Kunden? \| Thomas Göller	Germany de	business WordPress WooCommerce	robotsllmsaihumans	email phone	none
das-unternehmerbuch.de ↗	62 match 2 shared topics	Wo sind meine Kunden? \| Thomas Göller	Germany de	business WordPress WooCommerce	robotsllmsaihumans	email phone	none
dasunternehmerbuch.de ↗	62 match 2 shared topics	Wo sind meine Kunden? \| Thomas Göller	Germany de	business WordPress WooCommerce	robotsllmsaihumans	email phone	none
meinefirma.org ↗	62 match 2 shared topics	Meine Firma - Richtige Corporate Identity >>meineFIRMA.org<<	de	business WordPress	robotsllmsaihumans	emailphone	none
mspartners.ch ↗	62 match 2 shared topics	MS Partners - Experten für Marketing, ESG Compliance & Sustainability	Switzerland de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
crowdwerk.de ↗	62 match 2 shared topics	Crowdsourcing by Crowdwerk	Germany de	marketing-and-advertising Joomla	robotsllmsaihumans	emailphone	none
dialogvision.de ↗	62 match 2 shared topics	dialogvision – Marketing Automation für B2B-Unternehmen	Germany de	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
adtraction.ch ↗	62 match 2 shared topics	Entwickle dein Business mit Partnern \| Adtraction	Switzerland de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
crowdservices.ch ↗	62 match 2 shared topics	Crowdsourcing by Crowdwerk	Switzerland de	marketing-and-advertising Joomla	robotsllmsaihumans	emailphone	none
customer-collective.de ↗	62 match 2 shared topics	Customer Collective \| How can we drive your business forward?	Germany de	marketing-and-advertising WordPress	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.