
Payload CMS
CMS
Blogger
CMSPayload CMS and Blogger are both popular choices, but they serve different needs. Payload CMS is a CMS with a traditional, manual approach to building, while Blogger 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 Payload CMS vs Blogger — 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 | 2 patterns | 9 patterns |
| Script Detection | — | 3 patterns |
| CDN Detection | — | 2 domains |
| Header Detection | — | — |
| Sites Detected | No data yet | 447 scans |
| Best For | Blogs & content-heavy sitesTry Payload CMS → | Blogs & content-heavy sitesTry Blogger → |
| Official Website | Visit | Visit |
CMS
Payload CMS is a cms with an AI Score of 20/100 (Traditional). Our detection engine uses 2 signal patterns to identify Payload CMS-built sites.
CMS
Blogger is a cms with an AI Score of 20/100 (Traditional). Our detection engine uses 9 signal patterns to identify Blogger-built sites.
Payload is a TypeScript-native, self-hostable headless CMS built on Next.js, popular with developer teams who want full code-level control over their content models rather than a hosted SaaS platform. Because Payload is typically deployed headless — a separate frontend consumes its REST/GraphQL API rather than rendering pages itself — its public-facing signal surface is inherently weaker than a monolithic CMS like WordPress. AIWebsiteDetector looks for the `payload-token` admin-session cookie and any "Powered by Payload" branding text some starter templates leave in place, both best-effort signals given how much of a typical Payload deployment is invisible to an external scanner.
Choose Payload CMS if…
Choose Blogger if…
Our Pick — Based on 447+ detections
The most frequently detected cms in our scan database.
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