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Access Panel & Studienlösungen für Market Research - MIS Group — 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
fashionbarometer.com ↗	69 match 1 shared topics	IWD market research - IWD market research	de	marketing-and-advertising WordPress	robots llmsaihumans	emailphone	none
data-scientist.de ↗	69 match 1 shared topics	IWD market research - IWD market research	Germany de	marketing-and-advertising WordPress	robots llmsaihumans	emailphone	none
evolution-online.net ↗	68 match 1 shared topics	(r)evolution market research	de	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
brixelevora.com ↗	68 match 1 shared topics	Brixelevora - Expertenwissen für Marke und digitale Lösungen	Germany~ de	marketing-and-advertising	robotsllmsaihumans	email phone	none
falomirian.com ↗	67 match 1 shared topics	Falomirian - Digitale Marketinglösungen für bessere Marken	de	marketing-and-advertising	robotsllmsaihumans	email phone	none
blue-market-labs.de ↗	67 match 1 shared topics	research tools \| Marketingstudien und Marketingmonitoring	Germany de	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
b2breeze.de ↗	67 match 1 shared topics	Ihre Agentur für digitales Marketing und Prozesslösungen	Germany de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
medialevelup.com ↗	66 match 1 shared topics	Digitale Lösungen für Wachstum und Erfolg im Business \| Medialevelup	de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
feralyntorix.com ↗	66 match 1 shared topics	feralyntorix - Blog für Branding, Marketing und digitale Lösungen	de	marketing-and-advertising	robotsllmsaihumans	email phone	none
viola-moebius.com ↗	66 match 1 shared topics	Viola Möbius – Expertin für Marketing & Sichtbarkeit	de	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
violamoebius.com ↗	66 match 1 shared topics	Viola Möbius – Expertin für Marketing & Sichtbarkeit	de	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
cronba.ch ↗	66 match 1 shared topics	Psychografische Daten für Markenwachstum – CRONBACH	Switzerland de	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
stilwald.com ↗	66 match 1 shared topics	Stilwald GmbH & Co. KG – Strategische Marketinglösungen	de	marketing-and-advertising Weebly	robotsllmsaihumans	emailphone	none
b2b-fahrzeuge.de ↗	66 match 1 shared topics	Digital Marketing und Cloudlösungen \| audaris	Germany de	marketing-and-advertising	robots llmsaihumans	emailphone	none
bcleads.de ↗	66 match 1 shared topics	BC Leads Online Marketing - Neukunden für dein Studio FINDEN und GEWINNEN	Germany de	marketing-and-advertising	robotsllmsaihumans	email phone	none
vertus.co ↗	66 match 1 shared topics	CRM & Marketing Automation für B2B und Medienmarken	Colombia de	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	partial · 7
hubspot-deutschland.com ↗	65 match 1 shared topics	HubSpot – die Lösung für CRM und Inbound-Marketing	Germany~ de	marketing-and-advertising HubSpot	robotsllmsaihumans	email phone	none
design-thinking.io ↗	65 match 1 shared topics	Marketing-Analysen für Marketing-Entscheider \| Media Trooper	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.