
Keystone CMS
CMS
Notion Sites
CMSKeystone CMS and Notion Sites are both popular choices, but they serve different needs. Keystone CMS is a CMS with a traditional, manual approach to building, while Notion Sites is a CMS that prioritises developer or designer control.
Below you'll find a side-by-side breakdown of detection signals, AI scores, and technical fingerprints — plus our honest take on which builder wins for different use cases.
How we detect Keystone CMS vs Notion Sites — see our methodology: AI Influence Score calculation, evidence tiers, and fingerprint signal types.
| Category | CMS | CMS |
| AI Score | 20/100 — Traditional | 20/100 — Traditional |
| Detection Signals | 2 patterns | 5 patterns |
| Script Detection | — | 2 patterns |
| CDN Detection | — | — |
| Header Detection | 1 headers | — |
| Sites Detected | No data yet | 7 scans |
| Best For | Blogs & content-heavy sites | Blogs & content-heavy sitesTry Notion Sites → |
| Official Website | — | Visit |
CMS
Keystone CMS is a cms with an AI Score of 20/100 (Traditional). Our detection engine uses 2 signal patterns to identify Keystone CMS-built sites.
CMS
Notion Sites is a cms with an AI Score of 20/100 (Traditional). Our detection engine uses 5 signal patterns to identify Notion Sites-built sites.
Keystone CMS is an open-source, database-driven content management system built on Node.js and designed for developers who need a flexible, API-first backend with an auto-generated Admin UI for managing structured content. It is commonly used by development teams building custom web applications, editorial platforms, and headless CMS implementations where schema control and GraphQL access are priorities. AIWebsiteDetector.com identifies Keystone-powered sites through a combination of one distinct HTML pattern — typically a markup signature embedded during server-side rendering or within the admin interface — and one characteristic HTTP response header that Keystone's underlying Express-based server exposes during page delivery. These two signals form the core of the detection engine's fingerprinting logic, allowing the tool to distinguish Keystone deployments from other Node.js-based frameworks with reasonable confidence. Because Keystone is self-hosted and infrastructure-agnostic, it appears across a wide range of hosting environments including cloud VMs, containerized setups, and platforms like Railway or Render, making hosting-based heuristics unreliable — which is precisely why header and HTML pattern detection are essential to accurate identification.
Notion Sites is a website publishing platform built on top of Notion's document and database infrastructure, commonly used by indie makers, startups, and teams who want to publish portfolios, landing pages, documentation, or wikis directly from their Notion workspaces without managing traditional hosting. The platform leaves a distinct technical footprint that AIWebsiteDetector.com's detection engine identifies through a combination of 2 script patterns, 2 HTML patterns, and 1 meta tag pattern embedded in the rendered page source. Detection signals typically include references to Notion's core JavaScript assets served from Notion's own CDN infrastructure, along with characteristic HTML attributes and meta tag signatures that persist across pages built on the platform. These layered signals allow the detector to distinguish native Notion Sites deployments from third-party tools like Super or Potion that merely style Notion content, improving confidence accuracy across varied site configurations. Notion Sites is hosted entirely on Notion's infrastructure under the notion.site domain or custom domains, making it one of the more structurally consistent CMS targets to fingerprint — the absence of self-hosting means the underlying markup patterns remain largely uniform across the ecosystem.
Choose Keystone CMS if…
Choose Notion Sites if…
Our Pick — Based on 7+ detections
The most frequently detected cms in our scan database.
Was this helpful?
Curious if a website uses Keystone CMS or Notion Sites? Scan it now — free.