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Prompting AI to Find Content Gaps in a Channel

·6 min read·GoScript Team /Product

A content gap prompt asks the model to find topics your channel covers thinly compared with what viewers want. To do that honestly, the model needs two lists: what you have published and what your audience keeps asking for.

Give it only the first list and it will invent demand. Give it both and it can point to a real gap instead of a topic that merely sounds missing.

Build both sides

On the supply side, list your recent topics, formats, and lengths. On the demand side, pull recurring questions from comments, search suggestions, and community posts.

The gap lives where demand is loud and supply is quiet. Without both columns, you are guessing which side is actually missing.

Asking for gaps that make sense

A long list of gaps is easy to generate and hard to act on. A short ranked list is what actually changes your calendar.

  • Name the audience the gap serves, so the model does not chase a topic nobody there wants.
  • Cap the list at three gaps, ranked by how often the demand appears.
  • Ask for the evidence behind each gap, such as a repeated comment or search term.
  • Request one video idea per gap that fits your current format.

A gap is not a topic you skipped. It is a topic you skipped that your audience keeps asking about.

Checking the gaps against reality

Before you film, search your own archive again. Some gaps turn out to be topics you covered and buried under a weak title, which is a packaging problem rather than a content one.

Ask whether the demand is durable or a passing spike. A question that trends for one week is a different opportunity than one that returns every month.

Key takeaways

Revisit the gap list each month. Demand shifts, and a gap you ignored in spring may be the obvious move by fall.

  • Feed the model both your coverage and your audience demand.
  • Ask for a short ranked list with evidence, not a long brainstorm.
  • Check whether a gap is really a packaging or titling problem.
  • Separate durable demand from a one-week spike before committing.

Turn this into your next script.

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