
BigCommerce
E-commerce Platform
Medusa
E-commerce PlatformBigCommerce and Medusa are both popular choices, but they serve different needs. BigCommerce is a E-commerce Platform with a traditional, manual approach to building, while Medusa is a E-commerce Platform 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 BigCommerce vs Medusa — see our methodology: AI Influence Score calculation, evidence tiers, and fingerprint signal types.
| Category | E-commerce Platform | E-commerce Platform |
| AI Score | 20/100 — Traditional | 20/100 — Traditional |
| Detection Signals | 5 patterns | 2 patterns |
| Script Detection | 2 patterns | — |
| CDN Detection | 1 domains | — |
| Header Detection | 1 headers | 1 headers |
| Sites Detected | 80 scans | No data yet |
| Best For | Online stores & product catalogsTry BigCommerce → | Online stores & product catalogs |
| Official Website | Visit | — |
E-commerce Platform
BigCommerce is a e-commerce platform with an AI Score of 20/100 (Traditional). Our detection engine uses 5 signal patterns to identify BigCommerce-built sites.
E-commerce Platform
Medusa is a e-commerce platform with an AI Score of 20/100 (Traditional). Our detection engine uses 2 signal patterns to identify Medusa-built sites.
BigCommerce is a fully hosted, SaaS-based e-commerce platform designed for small to enterprise-level online retailers seeking a scalable, all-in-one solution for building and managing digital storefronts. The AIWebsiteDetector engine identifies BigCommerce deployments through a combination of five distinct technical signals: two JavaScript script patterns embedded in page source, one CDN domain tied to BigCommerce's asset delivery infrastructure, one characteristic HTML pattern present in the document markup, and one HTTP response header that reveals the platform's backend fingerprint. These signals are cross-referenced during each scan to maximize detection accuracy, as BigCommerce sites tend to expose consistent front-end artifacts regardless of custom theming or storefront configuration. Because BigCommerce operates as a fully hosted platform — meaning merchants do not self-host the application — its infrastructure leaves predictable, platform-level signatures that are reliable across the breadth of sites built on it. This hosted architecture, combined with BigCommerce's use of its own CDN for static asset delivery, makes it one of the more consistently detectable major e-commerce platforms in the detection engine's coverage set.
Medusa is an open-source, headless e-commerce platform built for developers and digital commerce teams who need a highly customizable alternative to traditional monolithic storefront solutions. Designed with a modular architecture, Medusa is commonly deployed by technical teams building custom storefronts, multi-region shops, and composable commerce experiences using its Node.js-based backend. AIWebsiteDetector's detection engine identifies Medusa-powered sites using a combination of one distinct HTML pattern and one HTTP header signature that are consistently present across Medusa deployments. These signals reflect Medusa's characteristic server responses and frontend markup conventions, allowing the detection engine to distinguish it reliably from other headless or API-first commerce frameworks. Because Medusa is self-hosted and open-source with no mandatory licensing fees, its deployments vary widely in infrastructure — ranging from cloud platforms like Railway and Render to custom VPS setups — but the core fingerprint remains consistent enough to support confident identification.
Choose BigCommerce if…
Choose Medusa if…
Our Pick — Based on 80+ detections
The most frequently detected e-commerce platform in our scan database.
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