This guide demonstrates how to automate the generation of essential YouTube video metadata, including optimized titles, descriptions, and tags. By using a custom 'YouTube Sidekick' GPT, you can streamline your content creation workflow and improve your video's discoverability. You will need a text transcript of your video to begin.
Navigate to your custom 'YouTube Sidekick' GPT within the ChatGPT application.
Upload your video transcript by dragging the text file directly into the chat window.
Enter the following prompt to generate your initial metadata package: Write a YouTube optimized video title, two sentence description, and tags in a comma separated format based on the following video transcript. Tags must be less than 500 characters total in a comma separated list. Finally, at the end of each video, I plug two other videos from the channel. Let me know the possible titles for those two videos I mention, and which one is mentioned first.
Review the generated Title, Description, and Tags. The AI will also identify any other videos you mentioned that can be used for your end screen.
To refine the title, copy one of the suggestions you like best.
Enter a new prompt to generate more variations, such as: Give me ten more titles like this: [Paste your selected title here]
Repeat this process until you have a few strong title options suitable for A/B testing on YouTube.
For best results, train your custom GPT on your existing videos and channel style. This helps the AI learn your unique voice and formatting preferences, leading to more consistent and effective metadata generation.
This article explains how to use a custom-trained GPT to automate the creation of YouTube video metadata. By providing a video transcript and a specific prompt, you can quickly generate an optimized title, description, tags, and end-screen video suggestions, significantly speeding up your publishing workflow.