
Storyblok
CMS
WordPress
CMSStoryblok and WordPress are both popular choices, but they serve different needs. Storyblok 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 Storyblok 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 | 2 patterns | 10 patterns |
| Script Detection | 1 patterns | 3 patterns |
| CDN Detection | — | 1 domains |
| Header Detection | — | 2 headers |
| Sites Detected | No data yet | 10,084 scans |
| Best For | Blogs & content-heavy sites | Blogs & content-heavy sitesTry WordPress → |
| Official Website | — | Visit |
CMS
Storyblok is a cms with an AI Score of 20/100 (Traditional). Our detection engine uses 2 signal patterns to identify Storyblok-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.
Storyblok is a headless, API-first content management system designed for developers and content teams who need flexible, component-based content delivery across websites, mobile apps, and digital platforms. The detection engine on AIWebsiteDetector.com identifies Storyblok-powered sites through a combination of one script pattern and one HTML pattern, typically looking for references to Storyblok's JavaScript bridge or SDK loaded into the page alongside distinctive HTML markup attributes injected by the CMS's visual editor. These signals are reliable indicators because Storyblok's inline editing interface embeds specific data attributes into rendered HTML, making its fingerprint consistent across both development and production environments. Sites running Storyblok span a broad range of use cases, from marketing pages to enterprise content portals, and the platform's headless architecture means it frequently appears alongside modern frontend frameworks like Next.js, Nuxt, or SvelteKit. Storyblok operates on a SaaS pricing model with tiered plans ranging from a free community tier to enterprise licensing, and its cloud-hosted content delivery infrastructure means the CMS itself requires no self-hosted server footprint — a characteristic that concentrates detectable signals squarely within the client-side code rather than HTTP response headers.
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.
Choose Storyblok if…
Choose WordPress if…
Our Pick — Based on 10,084+ detections
The most frequently detected cms in our scan database.
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