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AI & Dev Pay What You Want 📎 ZIP · 46MB

GEO Citation Lab Remotion Source Code Download

Download the Remotion source package for Mr. Guo's AI search citation analysis video, including animated data visualization components, caption timelines, narration audio, cover images, and setup notes.

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ZIP · 46MB

Overview

This is the cleaned Remotion source package for the GEO Citation Lab / Field Notes video. It is not a raw dump of the full working repository. It keeps only the files needed to reproduce this specific data storytelling video.

The package includes the horizontal video composition, data configuration, animation components, caption timeline, full narration audio, background music, 16:9 and 4:3 cover images, plus a Chinese 使用说明.md setup guide.

Core Contents

  • Remotion-native data visualization video components
  • SVG and D3-scale driven charts animated by Remotion frames
  • Data spotlight moments where key metrics zoom into the center, count up, then return to the layout
  • Dedicated scenes for influence_score, search coverage, source pool structure, answer absorption, and evidence assets
  • Full caption timeline and final call-to-action narration
  • A minimal project structure ready for local preview and rendering

Who This Is For

  • Creators using Remotion to build data explanation videos
  • Teams turning research reports, dashboards, or experiment data into narrated videos
  • Content operators studying how narration, subtitles, charts, and visual rhythm can work together
  • Builders creating reusable AI video templates for Bilibili, YouTube, or internal research briefings

How to Use

Download and unzip the package, then run:

npm install
npm run dev

Open Remotion Studio and select GeoCitationLab for preview. To render the video:

npm run render

Why This Is Useful

The key idea behind this source package is to replace static dashboard screenshots with animated data components. Each important metric is treated as part of the narration: it appears when the script reaches that point, enlarges, counts up, and then moves back into the visual system.

If you want to turn market research, SEO reports, ad analytics, product analysis, or competitive research into video, this structure gives you a reusable starting point.

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