GSAP is a UI Library that powers thousands of websites. Our detection engine uses multiple signals to identify GSAP-built sites with high accuracy.
Detect GSAP Websites — Free Tool
Enter any URL to check if it was built with GSAP. Instant results, no account required.
How we detect GSAP — see our methodology: AI Influence Score calculation, evidence tiers, and fingerprint signal types.
How to Detect GSAP Websites
Script Patterns
2 patterns
CDN Domains
2 patterns
HTML Patterns
2 patterns
1. Check the Page Source
Open the website in your browser, right-click, and select "View Page Source". Search for gsap-specific patterns in the HTML.
2. Look for Script Files
Check the Network tab in DevTools for JavaScript files loaded from GSAP domains.
3. Check CDN Domains
Network requests to these CDN domains indicate a GSAP site:
cdnjs\.cloudflare\.com\/ajax\/libs\/gsapunpkg\.com\/gsap4. Use AI Website Detector (Easiest)
Our automated scanner checks all these signals at once and gives you an instant confidence score. Just enter any URL above.
Frequently Asked Questions
Is this website built with GSAP?
You can detect if any website was built with GSAP by using our free scanner above. Just enter the URL and we'll analyze HTML patterns, JavaScript files, CDN domains, and HTTP headers to determine if GSAP was used — with a confidence score.
How to detect if a website was built with GSAP?
There are several ways to detect GSAP: (1) View the page source and look for GSAP-specific class names or script URLs, (2) Check the Network tab in DevTools for requests to GSAP CDN domains, (3) Use our free tool — we check 6 detection signals automatically.
What websites are built with GSAP?
GSAP is used by thousands of websites worldwide. Our scanner has detected many GSAP-built sites across different industries. You can scan any URL to check if it uses GSAP.
How accurate is the GSAP detection?
Our GSAP detection engine checks 6 unique fingerprint signals, achieving high confidence results. We score each match and return a confidence percentage so you know how certain the detection is.
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Detection Info
- Category
- UI Library
- Signals Used
- 6 patterns
- Accuracy
- High
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