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context39 — KI für Schweizer Unternehmen — 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
blinno.ch ↗	71 match 2 shared topics	Blinno GmbH - Das Schweizer No-Code Unternehmen	Switzerland de	artificial-intelligence	robotsllmsaihumans	emailphone	none
hephatron.com ↗	69 match 2 shared topics	Hephatron — KI für das Handwerk	de	software-and-applications	robotsllmsaihumans	emailphone	none
codecell.de ↗	69 match 2 shared topics	CodeCell \| KI-Lösungen für Unternehmen	Germany de	artificial-intelligence Storyblok	robotsllmsaihumans	email phone	none
cleva.ch ↗	69 match 2 shared topics	cleva — KI-Agentur Zürich · Massgeschneiderte Software für Schweizer KMU	Switzerland de	software-and-applications	robots llmsaihumans	email phone	none
ai2deliver.de ↗	69 match 2 shared topics	ai2deliver - KI Entwicklung für Ihr Unternehmen	Germany de	artificial-intelligence	robotsllmsaihumans	emailphone	none
egov-ki.ch ↗	69 match 2 shared topics	eGov-KI – Künstliche Intelligenz für Schweizer Gemeinden und Städte	Switzerland de	artificial-intelligence	robotsllmsaihumans	emailphone	none
docpilot.ch ↗	69 match 2 shared topics	DocPilot — Der KI-Dokumentenassistent für Ihr Unternehmenswissen	Switzerland de	artificial-intelligence	robots llmsaihumans	emailphone	none
insightbind.com ↗	68 match 2 shared topics	InsightBind – Lokale KI-Lösungen für Unternehmen \| DSGVO-konform	de	artificial-intelligence	robotsllmsaihumans	emailphone	none
deep-impact.ch ↗	67 match 2 shared topics	KI-Lösungen & KI-Beratung für Unternehmen \| Deep Impact AG	Switzerland de	artificial-intelligence	robots llmsaihumans	emailphone	none
willyagency.ch ↗	67 match 2 shared topics	Willy Agency \| KI-Anwendungen fuer Unternehmen	Switzerland de	software-and-applications	robotsllmsaihumans	emailphone	none
espero.tech ↗	67 match 2 shared topics	KI-Agenten & Agentic Engineering für Unternehmen \| EsperoTech München	Germany~ de	artificial-intelligence	robotsllmsaihumans	email phone	none
vitesse360ai.com ↗	67 match 2 shared topics	AKI Gemini 14 – High-Performance KI-Systeme für Unternehmen – VITESSE 360 AI	de	artificial-intelligence Shopify	robots llmsaihumans	emailphone	none
bmcsoftware.de ↗	67 match 2 shared topics	Automatisierungsunternehmen für das KI-Zeitalter – BMC Software	Germany de	software-and-applications Adobe Experience Manager	robotsllmsaihumans	emailphone	none
relocera.com ↗	67 match 2 shared topics	Relocera \| KI-Aufnahme-Copilot für Umzugsunternehmen	de	artificial-intelligence	robotsllmsaihumans	emailphone	none
datawork.dev ↗	66 match 2 shared topics	OCR Schweiz — Texterkennung & Dokumentenverarbeitung mit KI \| datawork.dev	Switzerland~ de	software-and-applications	robots llmsaihumans	emailphone	none
askia.ch ↗	66 match 2 shared topics	ASKIA – Ihr smarter KI-Chat für produktive Unternehmen – Corporate Software	Switzerland de	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
enpaso.info ↗	66 match 2 shared topics	enpasos \| Muster und Loesungen fuer Unternehmungen	de	software-and-applications	robotsllmsaihumans	emailphone	none
enpaso.net ↗	66 match 2 shared topics	enpasos \| Muster und Loesungen fuer Unternehmungen	de	software-and-applications	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.