
WordPress
CMS
Drupal
CMSWordPress and Drupal are both popular choices, but they serve different needs. WordPress is a CMS with a traditional, manual approach to building, while Drupal 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 WordPress vs Drupal — 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 | 10 patterns | 7 patterns |
| Script Detection | 3 patterns | 2 patterns |
| CDN Detection | 1 domains | — |
| Header Detection | 2 headers | 2 headers |
| Sites Detected | 6,766 scans | 179 scans |
| Best For | Blogs & content-heavy sitesTry WordPress → | Blogs & content-heavy sitesTry Drupal → |
| Official Website | Visit | Visit |
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.
CMS
Drupal is a cms with an AI Score of 20/100 (Traditional). Our detection engine uses 7 signal patterns to identify Drupal-built sites.
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.
Drupal is an open-source content management system written in PHP, widely adopted by government agencies, universities, large enterprises, and media organizations that require a highly customizable and security-conscious publishing platform. The AIWebsiteDetector.com engine identifies Drupal installations through a combination of seven distinct technical signals, including two JavaScript file patterns, two HTML structural patterns, two characteristic HTTP response headers, and one meta tag pattern embedded in page markup. Common detection indicators include Drupal-specific generator meta tags, inline HTML attributes such as data attributes injected by the CMS core, HTTP headers like the `X-Generator` or `X-Drupal-Cache` response fields, and script paths referencing Drupal's module or core directory structure. These layered signals allow the detector to distinguish Drupal from other PHP-based CMS platforms with high confidence, even when administrators have partially obscured the installation through security hardening measures. Drupal is self-hosted software available at no licensing cost from drupal.org, though its presence on high-traffic government and institutional domains makes it one of the more consistently detectable enterprise CMS platforms in the wild, owing to the persistence of its core-generated markup across versions.
Choose WordPress if…
Choose Drupal if…
Our Pick — Based on 6,945+ detections
Detected 38× more often than Drupal across our database of scanned sites.
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