
Super.so
CMS
WordPress
CMSSuper.so and WordPress are both popular choices, but they serve different needs. Super.so is a CMS with a traditional, manual approach to building, while WordPress 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 Super.so vs WordPress — 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 | 8 patterns | 10 patterns |
| Script Detection | 2 patterns | 3 patterns |
| CDN Detection | 1 domains | 1 domains |
| Header Detection | 1 headers | 2 headers |
| Sites Detected | No data yet | 9,863 scans |
| Best For | Blogs & content-heavy sitesTry Super.so → | Blogs & content-heavy sitesTry WordPress → |
| Official Website | Visit | Visit |
CMS
Super.so is a cms with an AI Score of 20/100 (Traditional). Our detection engine uses 8 signal patterns to identify Super.so-built sites.
CMS
WordPress is a cms with an AI Score of 20/100 (Traditional). Our detection engine uses 10 signal patterns to identify WordPress-built sites.
Super.so is a no-code publishing platform that transforms Notion pages into fully hosted, customizable websites, primarily used by indie makers, startups, and content creators who want a fast path from Notion document to live site. AIWebsiteDetector.com identifies Super.so deployments through a combination of 2 distinct script patterns, 3 HTML structural patterns, 1 CDN domain signature, 1 HTTP response header, and 1 meta tag pattern — a multi-layered fingerprint that makes detections highly reliable across the range of sites built on the platform. The CDN domain and injected script patterns are particularly strong signals, as Super.so wraps and proxies Notion content through its own infrastructure, leaving consistent artifacts in page source and network requests. The presence of specific meta tag attributes alongside characteristic HTML markup further confirms a Super.so origin even when sites use custom domains that obscure the underlying platform. Because Super.so operates as a managed hosting service layered on top of Notion's API, every site it serves shares these infrastructure-level identifiers — making it one of the more consistently detectable Notion-based publishing tools available today.
WordPress is an open-source content management system powering everything from personal blogs to large-scale enterprise websites, making it the most widely deployed CMS on the web and a primary target for accurate fingerprinting. AIWebsiteDetector.com identifies WordPress installations using a layered set of technical signals, including 3 distinct script patterns, 2 HTML structural patterns, 2 HTTP response headers, 2 meta tag patterns, and 1 CDN domain reference — collectively providing high-confidence detection across both default and heavily customized deployments. These signals typically manifest as characteristic markup in page source, identifiable request headers returned by the server, and script references tied to WordPress core or its content delivery infrastructure. Because WordPress supports thousands of themes and plugins that can obscure surface-level indicators, the multi-signal approach ensures reliable identification even when administrators attempt to minimize the platform's visible footprint. WordPress itself is free and open-source, but hosting costs vary widely — from shared environments to managed WordPress hosting — meaning the same CMS signature can appear across dramatically different infrastructure setups, a nuance the detection engine accounts for when evaluating header and CDN patterns.
/cdn\.super\.so/i while WordPress uses /wp-content\/uploads/i — making CDN domain analysis one of the most reliable ways to distinguish them.Choose Super.so if…
Choose WordPress if…
Our Pick — Based on 9,863+ detections
The most frequently detected cms in our scan database.
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