AI Visibility for Framer Sites
Framer outputs server-rendered HTML and handles the basics of technical visibility well. AI crawlers can access Framer sites directly. The gaps for most Framer sites are in structured data: Organization schema is almost never present by default, FAQ schema requires manual implementation, and entity definition often relies entirely on visual design rather than machine-readable signals.
Readable does not mean recommendable. This audit shows you exactly where Framer sites fall short.
What Framer sites typically miss
These issues appear on most Framer sites we scan. Each reduces AI recommendation confidence.
The fix for Framer sites
In Framer, add custom code to the site head with Organization and WebSite JSON-LD schema. For pages with FAQ sections, add FAQPage schema via page-level custom code. Ensure each page has a specific, query-oriented meta description.
Stack-aware fix prompts
AudFlo detects Framer builds and generates JSON-LD code ready for Framer custom code fields.
Detect
AudFlo identifies your framework automatically
Diagnose
All 32 visibility layers checked and scored
Fix
Paste-ready prompt generated for your exact stack
Common questions about Framer and AI visibility
Does Framer support custom schema markup?
Yes. Framer allows you to add custom code to the site head and to individual page heads. This is where you add JSON-LD structured data. AudFlo generates the complete schema code ready to paste.
Is Framer good for AI visibility?
Framer's server-side rendering is a strong foundation. The remaining gaps are in structured data and entity definition. With those added, Framer sites can be fully AI-visible.
What structured data should every Framer site have?
At minimum: Organization schema in the site head, WebSite schema in the site head, and FAQPage schema on any page with FAQ content. Article schema on blog or resource pages is the next addition.
Related topics
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