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Intelligenter Hightech-Roboter V5 ein Betrug? Erfahrungen und Bewertung — 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
corpin.ch ↗	67 match 1 shared topics	CorpIn \| Intelligente KI-Lösungen für Ihr Business	Switzerland de	artificial-intelligence	robotsllmsaihumans	email phone	none
dennisottenbacher.de ↗	66 match 1 shared topics	AI Development Freelancer \| Intelligente Lösungen für Ihr Business	Germany de	artificial-intelligence	robotsllmsaihumans	emailphone	none
cosmic-ki.com ↗	66 match 1 shared topics	COSMIC-KI - Intelligente KI-Agenten für Dein Unternehmen	de	artificial-intelligence	robotsllmsaihumans	emailphone	none
moresophy.com ↗	66 match 1 shared topics	MORESOPHY - Einzigartige & transparente Künstliche Intelligenz	de	artificial-intelligence Weebly WooCommerce	robotsllmsaihumans	emailphone	none
hestromivalex.com ↗	66 match 1 shared topics	Hestromivalex - KI-Handelsempfehlungen und Marktanalysen für Deutschland	de	artificial-intelligence	robotsllmsaihumans	email phone	none
vocenta.com ↗	66 match 1 shared topics	Vocenta - Intelligente KI-Sprachagenten und Chatbots	de	artificial-intelligence	robotsllmsaihumans	emailphone	none
dataflowprox.ch ↗	66 match 1 shared topics	DataFlow ProX AI \| Intelligente Produktdaten-Suite	Switzerland de	artificial-intelligence WordPress WooCommerce	robotsllmsaihumans	email phone	none
voidara.app ↗	65 match 1 shared topics	Voidara: KI-Agenten und Automatisierung für dein Business \| voidara	de	artificial-intelligence	robotsllmsaihumans	emailphone	none
7five.ai ↗	65 match 1 shared topics	7five Intelligence \| KI-Agenten, Workflows & Wachstum	Switzerland~ de	artificial-intelligence	robotsllmsaihumans	email phone	none
das-ki-magazin.de ↗	65 match 1 shared topics	KI Magazin und KI Netzwerk, künstliche Intelligenz nah und kompakt	Germany de	artificial-intelligence	robotsllmsaihumans	emailphone	none
langheinrich.net ↗	65 match 1 shared topics	Künstliche Intelligenz	de	artificial-intelligence	robotsllmsaihumans	emailphone	none
langheinrich.org ↗	65 match 1 shared topics	Künstliche Intelligenz	de	artificial-intelligence	robotsllmsaihumans	emailphone	none
analyxo.net ↗	65 match 1 shared topics	analyxo - Wettbewerbsanalysen mit Künstlicher Intelligenz	de	artificial-intelligence WordPress WooCommerce	robotsllmsaihumans	emailphone	none
analyxo.de ↗	65 match 1 shared topics	analyxo - Wettbewerbsanalysen mit Künstlicher Intelligenz	Germany de	artificial-intelligence WordPress WooCommerce	robotsllmsaihumans	emailphone	none
kompass-ki.ch ↗	65 match 1 shared topics	Kompass Künstliche Intelligenz - Marcel Salathé	Switzerland de	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
dennis-pfisterer.de ↗	65 match 1 shared topics	Dennis Pfisterer · Professor und Studiengangsleiter für Data Science und Künstliche Intelligenz	Germany de	artificial-intelligence	robotsllmsaihumans	emailphone	none
cookingai.app ↗	65 match 1 shared topics	CookingAI – Intelligente Rezeptvorschläge mit KI	de	artificial-intelligence	robotsllmsaihumans	emailphone	none
apisbot.ch ↗	65 match 1 shared topics	ApisBot — Schwarmintelligenz für die echte Welt	Switzerland de	artificial-intelligence	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.