
Ghost
CMS
WordPress
CMSGhost and WordPress are both popular choices, but they serve different needs. Ghost 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 Ghost 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 | 7 patterns | 10 patterns |
| Script Detection | 2 patterns | 3 patterns |
| CDN Detection | — | 1 domains |
| Header Detection | 2 headers | 2 headers |
| Sites Detected | 2,289 scans | 7,499 scans |
| Best For | Blogs & content-heavy sitesTry Ghost → | Blogs & content-heavy sitesTry WordPress → |
| Official Website | Visit | Visit |
CMS
Ghost is a cms with an AI Score of 20/100 (Traditional). Our detection engine uses 7 signal patterns to identify Ghost-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.
Ghost is an open-source Node.js-based content management system designed primarily for professional publishers, bloggers, and media organizations seeking a streamlined platform for subscription-based content and newsletters. AIWebsiteDetector.com identifies Ghost-powered sites using a combination of 2 script patterns, 2 HTML patterns, 2 HTTP headers, and 1 meta tag pattern, providing multiple redundant signals that make detection highly reliable even when sites use custom themes or third-party CDNs. Common detection signals include Ghost-specific script references embedded in page source, characteristic HTML structural attributes injected by the Ghost rendering engine, and HTTP response headers that expose version or platform metadata. The meta tag pattern typically surfaces a generator tag pointing explicitly to Ghost, which remains present across most default and custom theme configurations and serves as one of the most definitive single-signal identifiers. Ghost is available both as a self-hosted open-source installation and as a managed cloud service through Ghost(Pro), meaning detection patterns must account for both infrastructure environments — a distinction reflected in the diversity of header-based signals our engine tracks. The platform's consistent use of standardized theme APIs and its tightly controlled front-end architecture make it one of the more reliably detectable CMS platforms in the publishing category.
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 Ghost if…
Choose WordPress if…
Our Pick — Based on 9,788+ detections
Detected 3× more often than Ghost across our database of scanned sites.
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