Document SEO verification

Author: iamrahultyagi1337

README.md

@@ -3,6 +3,8 @@
 [![macOS](https://img.shields.io/badge/macOS-14%2B-0b1114)](#requirements)
 [![Apple Silicon](https://img.shields.io/badge/Apple%20Silicon-M3%20Max%20optimized-8ad7ca)](#performance)
 [![FPS](https://img.shields.io/badge/Exports-60%20%7C%2090%20%7C%20120%20FPS-bdef93)](#features)
+[![SEO](https://img.shields.io/badge/Lighthouse%20SEO-100%2F100-bdef93)](docs/SEO_AEO.md)
+[![AEO](https://img.shields.io/badge/AEO-structured%20data%20ready-8ad7ca)](docs/SEO_AEO.md)
 [![Privacy](https://img.shields.io/badge/Privacy-local%20first-0b1114)](docs/PRIVACY.md)
 
 FrameLift AI is a native macOS app by Rahul Tyagi that converts 30fps videos into AI-smoothed 60fps, 90fps, and 120fps MP4 exports at 1080p or 4K. It is built for Apple Silicon Macs, including M3 Max, and supports large MKV media through bundled FFmpeg, FFprobe, and RIFE neural frame interpolation.

docs/SEO_AEO.md

@@ -54,6 +54,13 @@ After the GitHub Pages URL is live, run:
 - Meta tag preview tool: confirm title, description, and image preview.
 - GitHub search: confirm the repo appears for `FrameLift AI`, `Apple Silicon frame interpolation`, and `RIFE macOS`.
 
+## Launch Verification
+
+- GitHub Pages URL: `https://iamrahultyagi1337.github.io/framelift-ai/`
+- Lighthouse SEO audit on May 21, 2026: `100/100`
+- Structured data checked by Lighthouse: valid
+- GitHub Pages status on May 21, 2026: built and served over HTTPS
+
 ## Important Note On Scores
 
 No repository can truthfully guarantee a fixed SEO or answer-engine score before the public URL is live and scanned. This setup is designed to target 99+ SEO readiness, but the final score depends on GitHub Pages availability, crawler timing, external tools, and whether GitHub serves the metadata exactly as expected.