
Strikingly
Visual Builder
Showit
Visual BuilderStrikingly and Showit are both popular choices, but they serve different needs. Strikingly is a Visual Builder with a traditional, manual approach to building, while Showit is a Visual Builder 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 Strikingly vs Showit — see our methodology: AI Influence Score calculation, evidence tiers, and fingerprint signal types.
| Category | Visual Builder | Visual Builder |
| AI Score | 30/100 — No-Code / Visual Builder | 30/100 — No-Code / Visual Builder |
| Detection Signals | 4 patterns | 5 patterns |
| Script Detection | 2 patterns | 2 patterns |
| CDN Detection | 1 domains | 1 domains |
| Header Detection | — | — |
| Sites Detected | 76 scans | No data yet |
| Best For | Professional websitesTry Strikingly → | Professional websitesTry Showit → |
| Official Website | Visit | Visit |
Visual Builder
Strikingly is a visual builder with an AI Score of 30/100 (No-Code / Visual Builder). Our detection engine uses 4 signal patterns to identify Strikingly-built sites.
Visual Builder
Showit is a visual builder with an AI Score of 30/100 (No-Code / Visual Builder). Our detection engine uses 5 signal patterns to identify Showit-built sites.
Strikingly is a cloud-based website builder designed primarily for individuals, entrepreneurs, and small businesses seeking to create single-page websites and simple online stores without coding knowledge. The platform gained traction among startups and personal portfolio creators for its minimalist templates and streamlined publishing workflow. AIWebsiteDetector.com identifies Strikingly-powered sites through a combination of four distinct technical signals: two JavaScript script patterns embedded in page source, one proprietary CDN domain used to serve static assets, and one characteristic HTML pattern present in the document markup. These signals collectively allow the detection engine to fingerprint Strikingly sites with high confidence, even when the builder branding is visually absent from the published page. Strikingly hosts all sites on its own infrastructure under shared subdomains by default, though custom domain mapping is available on paid plans — a hosting architecture that reinforces the consistency of its CDN fingerprint across detected properties.
Showit is a drag-and-drop website builder designed primarily for creative professionals — photographers, designers, and brand-focused small businesses — offering pixel-level layout control built on a WordPress blogging backbone. The platform has a recognizable technical footprint that AIWebsiteDetector.com's engine resolves through five distinct signals: two JavaScript script patterns embedded in page markup, one proprietary CDN domain used to serve Showit's core assets, and two characteristic HTML patterns that appear consistently across Showit-published sites. These signals work in combination to produce reliable detections, as the CDN domain reference alone is a strong indicator given that Showit routes static assets through infrastructure unique to its platform. Showit operates on a subscription-based pricing model with hosting included in all plans, meaning sites built on it are always served through Showit's own infrastructure — a characteristic that makes the CDN domain signal particularly stable and unlikely to appear on non-Showit properties. This tightly controlled deployment environment contributes to detection confidence, since the combination of proprietary script loading behavior and consistent HTML structure leaves a uniform fingerprint regardless of how heavily a site has been visually customized.
/s\.strikinglycdn\.com/i while Showit uses /showit\.net/i — making CDN domain analysis one of the most reliable ways to distinguish them.Choose Strikingly if…
Choose Showit if…
Our Pick — Based on 76+ detections
The most frequently detected visual builder in our scan database.
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