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Sites similar to katharinabrunner.de

Katharinabrunner alternatives & similar sites

Katharina Brunner – digital home base — 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 Information And Network Security →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
digital-resilience.ch ↗	66 match 1 shared topics	Digital Resilience - Home	Switzerland de	information-and-network-security	robotsllmsaihumans	emailphone	none
digitalresilience.ch ↗	66 match 1 shared topics	Digital Resilience - Home	Switzerland de	information-and-network-security	robotsllmsaihumans	emailphone	none
ontrustee.ch ↗	66 match 1 shared topics	onTrustee – Die digitale Treuhand-Plattform	Switzerland de	information-and-network-security	robotsllmsaihumans	emailphone	none
digitalebeweisanalyse.ch ↗	66 match 1 shared topics	Home - Digitale Beweisanlayse	Switzerland de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cyberwar.pro ↗	65 match 1 shared topics	privacy-coach.de – Digitale Souveränität. Umgesetzt.	de	information-and-network-security	robotsllmsaihumans	emailphone	full · 20
cafe-digital.ch ↗	65 match 1 shared topics	Café Digital \| Verein Hera	Switzerland de	information-and-network-security	robotsllmsaihumans	emailphone	none
netzbestatter.com ↗	65 match 1 shared topics	digitalbestatter – Wenn es hart auf hart kommt …	de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
netzbestatter.ch ↗	65 match 1 shared topics	digitalbestatter – Wenn es hart auf hart kommt …	Switzerland de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
interid.io ↗	64 match 1 shared topics	interID - Digital Identity Consulting	de	information-and-network-security	robotsllmsaihumans	emailphone	none
cluetech.ch ↗	64 match 1 shared topics	Home – CLUE	Switzerland de	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
digitaltreff.ch ↗	64 match 1 shared topics	DigitalTreff \| Gemeinsam digital stark	Switzerland de	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
dso-digital.com ↗	64 match 1 shared topics	DSO - Digital Service Oetzel - Startseite	de	information-and-network-security	robotsllmsaihumans	emailphone	none
jwd.de ↗	64 match 1 shared topics	jwd.de – Werkstatt für sichere digitale Kommunikation	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
digitalsecure.ch ↗	64 match 1 shared topics	digitalsecure.ch – Ihr IT Partner wenn es um Sicherheit geht	Switzerland de	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
digitalsecurityswitzerland.ch ↗	64 match 1 shared topics	Allianz Digitale Sicherheit Schweiz	Switzerland de	information-and-network-security HubSpot	robotsllmsaihumans	email phone	none
jenswatch.de ↗	64 match 1 shared topics	Jens Watch – Personal Knowledge Base	Germany de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
alexander-golland.de ↗	63 match 1 shared topics	Golland. Digitalization, Privacy & beyond.	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
alexandergolland.de ↗	63 match 1 shared topics	Golland. Digitalization, Privacy & beyond.	Germany de	information-and-network-security	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.