
Mixo
AI Website Builder
Gamma
AI Website BuilderMixo and Gamma are both popular choices, but they serve different needs. Mixo is a AI Website Builder with heavy AI involvement in the build process, while Gamma is a AI Website Builder that leans heavily on AI-generated output.
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 Mixo vs Gamma — see our methodology: AI Influence Score calculation, evidence tiers, and fingerprint signal types.
| Category | AI Website Builder | AI Website Builder |
| AI Score | 90/100 — AI-Native | 90/100 — AI-Native |
| Detection Signals | 13 patterns | 13 patterns |
| Script Detection | 3 patterns | 3 patterns |
| CDN Detection | 3 domains | 3 domains |
| Header Detection | 2 headers | 2 headers |
| Sites Detected | 131 scans | 231 scans |
| Best For | AI-generated websites & quick launchesTry Mixo → | AI-generated websites & quick launchesTry Gamma → |
| Official Website | Visit | Visit |
AI Website Builder
Mixo is a ai website builder with an AI Score of 90/100 (AI-Native). Our detection engine uses 13 signal patterns to identify Mixo-built sites.
AI Website Builder
Gamma is a ai website builder with an AI Score of 90/100 (AI-Native). Our detection engine uses 13 signal patterns to identify Gamma-built sites.
Mixo is an AI-powered website builder designed for entrepreneurs and early-stage startups who want to launch a landing page or MVP web presence quickly without writing code. The platform generates complete websites from a short text prompt, making it a popular choice among solo founders and small teams validating business ideas. AIWebsiteDetector.com identifies Mixo-built sites through a combination of 3 distinct script patterns, 3 CDN domains, and 3 HTML patterns embedded in the page structure, alongside 2 HTTP response headers and 2 meta tag patterns that remain consistent across Mixo deployments. These signals appear reliably across the sites in our detection database, giving our engine a strong confidence baseline when scanning pages for Mixo's fingerprint. Mixo handles all hosting directly through its own infrastructure, and sites are served under custom domains or Mixo subdomains, which contributes to the consistency of the CDN and header signals our engine targets.
Gamma is an AI-powered presentation and website builder aimed at professionals, educators, and teams who need to create polished decks, documents, and landing pages without traditional design overhead. Sites built with Gamma are hosted on Gamma's own infrastructure under the gamma.app domain, making the hosting environment itself a reliable primary signal for detection. AIWebsiteDetector.com's detection engine identifies Gamma-built sites using a combination of 3 script patterns, 3 CDN domains, 3 HTML patterns, 2 HTTP headers, and 2 meta tag patterns — giving the engine multiple redundant signals to confirm attribution with high confidence even when pages are customized or embedded. The HTML patterns typically surface in structural attributes and class conventions injected by Gamma's rendering pipeline, while the script patterns reflect the platform's bundled JavaScript assets loaded consistently across published sites. The reliance on Gamma's own CDN infrastructure and proprietary HTTP response headers makes this one of the more straightforward builder fingerprints in the detection database, with little ambiguity between Gamma and other AI site builders. Gamma operates on a freemium model with paid plans for advanced features, and because virtually all published Gamma sites resolve through gamma.app subdomains or custom domains with consistent header signatures, detection accuracy remains exceptionally high across site types.
/mixo\.io/i while Gamma uses /assets\.gamma\.app/i — making CDN domain analysis one of the most reliable ways to distinguish them.Choose Mixo if…
Choose Gamma if…
Our Pick — Based on 362+ detections
Detected 2× more often than Mixo across our database of scanned sites.
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