Predicts video traffic up to 48 hours in advance, foreseeing the next viral video.
AI optimization boosts video completion rates by 90% and intelligently deconstructs the elements of viral content.
Second-level scanning for traffic restriction risks to avoid content publishing hazards.
Provides detailed, second-by-second guidance covering all aspects of optimization: content structure, hook techniques, shot composition, editing pace, BGM selection, subtitle design, interaction strategies, and script design.
Technical Principles & Advantages:
Utilizes deep neural networks and computer vision, establishing a multi-dimensional prediction model based on platform traffic rules.
The model is trained on a daily-updated database of over 100,000 viral videos from multiple platforms, with a current prediction accuracy of >92%.
Results are validated through A/B testing, with a confidence interval error controlled within +/- 15%.
Target Users & Supported Platforms:
Designed for all short video creators.
Supports mainstream platforms including Xiaohongshu, Douyin, WeChat Channels, Kuaishou, Bilibili, and Weibo.
FAQ:
What is VeoGo AI?: An intelligent prediction tool for short video creators that uses deep learning algorithms to predict video traffic performance in advance and provides second-level optimization suggestions.
How is accuracy guaranteed?: It uses a dynamic machine learning model updated daily with massive data and validated through A/B testing, achieving an accuracy of over 92%.
