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AlgorithmWatch CH — 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 Artificial Intelligence →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
aioptimiz.digital ↗	33 match 1 shared topics	AI Optimierung — Online Kurse in Zürich	de	artificial-intelligence	robotsllmsaihumans	email phone	none
veridoc.ch ↗	33 match 1 shared topics	Home -	Switzerland de	artificial-intelligence WordPress WooCommerce	robotsllmsaihumans	emailphone	none
deriolustraxa.com ↗	33 match 1 shared topics	Deriolustraxa - Deriolustraxa – Zukunft mit KI und IT Grundlagen	Germany~ de	artificial-intelligence	robotsllmsaihumans	email phone	none
ai-centraweb.com ↗	33 match 1 shared topics	KI-Lösungen für kleine und mittlere Unternehmen - Centraweb	de	artificial-intelligence WordPress WooCommerce	robotsllmsaihumans	email phone	none
garoneluthivas.com ↗	33 match 1 shared topics	Garoneluthivas - IT-Basics und KI-Praxis für 2026	de	artificial-intelligence	robotsllmsaihumans	email phone	none
marktpath.com ↗	33 match 1 shared topics	Marktpath - IT-Basics und KI-Praxis für 2026	de	artificial-intelligence	robotsllmsaihumans	email phone	none
skand.net ↗	33 match 1 shared topics	Maik Meid \| Fundraising-, KI- und Kommunikationsberatung	de	artificial-intelligence	robotsllmsaihumans	emailphone	none
mlmetaverse.de ↗	33 match 1 shared topics	Startseite - Fraunhofer IAIS	Germany de	artificial-intelligence Adobe Experience Manager	robotsllmsaihumans	emailphone	none
ainja.info ↗	33 match 1 shared topics	AiNJA – Analyseplattform für KI-Governance, Regulierung und EU AI Act \| Dr. Anja M. Neubauer	de	artificial-intelligence WordPress WooCommerce	robotsllmsaihumans	emailphone	none
dragandsense.ai ↗	33 match 1 shared topics	Human-AI Interaction (HAI) - Fraunhofer IOSB	de	artificial-intelligence Adobe Experience Manager	robotsllmsaihumans	emailphone	none
jasmine-networks.com ↗	33 match 1 shared topics	Consulting für machine learning und künstliche Intelligenz in medizinischen Anwendungen und Forschung - Künstliche Intelligenz Softwareentwicklung und Beratung Jasmine Networks UG	de	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
jasminenetworks.com ↗	33 match 1 shared topics	Consulting für machine learning und künstliche Intelligenz in medizinischen Anwendungen und Forschung - Künstliche Intelligenz Softwareentwicklung und Beratung Jasmine Networks UG	de	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
ai-experte.com ↗	33 match 1 shared topics	Leon Ehmann — KI-Experte für Sales, Marketing & Service	de	artificial-intelligence	robotsllmsaihumans	emailphone	none
curiouscollective.ai ↗	32 match 1 shared topics	AI Curious Collective	de	artificial-intelligence	robotsllmsaihumans	emailphone	none
flowcraft.ch ↗	32 match 1 shared topics	Flowcraft — Digitale Prozesse. Richtig gedacht.	Switzerland de	artificial-intelligence	robotsllmsaihumans	emailphone	none
ai-deathmatch.com ↗	32 match 1 shared topics	Das einzig wahre AI Deathmatch – KI Systeme im tödlichen Wortgefecht	de	artificial-intelligence	robotsllmsaihumans	emailphone	none
marixolenta.com ↗	32 match 1 shared topics	Marixolenta - Praktische KI-Anwendungen und Wissen 2026	de	artificial-intelligence	robotsllmsaihumans	email phone	none
slashmake.net ↗	32 match 1 shared topics	/make - High performance developer in AI, python, swift...	de	artificial-intelligence 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.