How to Use AI to Write YouTube Descriptions That Do More
Many creators treat the description box as an afterthought. They paste a couple of lines, drop some links, and move on. But a well-written description can increase watch time, improve search visibility, and send more clicks to your products and offers.
AI is a perfect partner for this job. It can expand your ideas into a full, structured description while you stay in control of the strategy and key messaging.
The three jobs of a YouTube description
A great YouTube description usually has to do three things:
- Explain the video in a clear, compelling way.
- Help YouTube understand who the video is for and what it is about.
- Guide interested viewers toward the next step in your ecosystem.
When you include your audience, key points, and links in the prompt, AI can structure the description so it works on all three levels at once.
Turning one video into a mini landing page
Think of your description as a lightweight landing page for the video. It should reinforce the promise of the title, set expectations, and give viewers options if they want to go deeper.
You can ask AI (via this prompt) to add mini headings like “What you will learn”, “Tools mentioned”, or “Next steps” to make your description skimmable. This makes it easier for both humans and algorithms to parse.
Keeping descriptions consistent across your channel
As your channel grows, having completely different descriptions on every video can feel chaotic. AI prompts like this let you define a consistent structure that still adapts to each topic. You can standardize:
- Your “About the channel” paragraph.
- The order and naming of your key links.
- How you phrase your main call to action.
Over time, this consistency teaches your audience what to expect and makes it easier for you to publish quickly without sacrificing quality.