YouTubeBeginner

YouTube Description and Tags Helper

Draft cleaner YouTube descriptions, chapters, and keyword support text from a video topic or script.

This prompt helps you speed up the less glamorous packaging work around a video. It turns your topic, outline, or script into a tighter description, chapter ideas, and discoverability support text.

Copy-And-Paste Prompt

Use This Prompt

Works well in ChatGPT, Claude, Gemini. Replace any bracketed variables before you run it.

Variables to customize

[Video Topic or Script][Target Keywords][CTA or Offer to Include][Links or Resources Mentioned]
Act as a YouTube metadata assistant.

Your task is to write a YouTube description, chapter ideas, and keyword support text based on my video topic or script.

Use these inputs when available:
- [Video Topic or Script]
- [Target Keywords]
- [CTA or Offer to Include]
- [Links or Resources Mentioned]

Requirements:
- Keep the description readable and useful.
- Front-load the value of the video.
- Suggest logical chapter breaks if the format supports them.
- Avoid spammy metadata stuffing.

Return the answer in this format:
1. Primary YouTube description
2. Suggested chapter list
3. Keyword support list and CTA placement ideas

Tone and style: clear and useful

Ask me concise follow-up questions only if a missing detail would materially change the quality of the final answer.

Example Inputs

Video Topic

How to price sponsorships for a niche channel

CTA

Download the sponsorship brief template

Keyword

YouTube sponsorship rates

Sample Output

In this video, I break down how niche creators can think about sponsorship pricing without guessing or undercharging. We cover deliverables, audience fit, usage rights, and the simple framework I use to set a rate range with more confidence.

This is a mock example only. Your result should change based on the variables, context, and constraints you provide.

What this prompt is designed to do

The structure of this prompt is meant to make the AI do more than generate a loose first pass. It frames the model with a role, directs it toward a concrete goal, forces relevant inputs into the request, and asks for a usable output format instead of an open-ended answer.

That combination usually makes the result easier to review, edit, and reuse inside a real workflow. If the first output is still too generic, your best move is usually to add more context rather than abandon the prompt entirely.

Category-specific guidance

  • Tell the model who the viewer is and what they clicked for.
  • Share what has already worked or failed on the channel.
  • Ask for multiple creative directions, not one final answer.
  • Use the prompt as a creative partner, then refine with your own voice and taste.

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YouTube Description and Tags Helper FAQ

Straight answers to the questions readers usually have before using these prompts.

How should I customize the youtube description and tags helper prompt?

Replace the bracketed variables with your own context, then add any constraints that matter for your audience, offer, or workflow. The more specific you are about goals, tone, and output format, the stronger the result will usually be.

Can I use this youtube prompt with ChatGPT, Claude, or Gemini?

Yes. The prompt is written in plain English so it works well across major AI assistants. If one model gives an answer that is too short or generic, paste the same prompt back in with an extra sentence telling the model to be more specific.