YouTube Content Gap Finder - Topics You Are Missing

Point this at your channel and up to five competitors and get back the content topics they publish that you do not — ranked by how many views those videos actually pull, with example videos and suggested titles for each gap.

It answers the question every channel owner has after a competitor analysis: so what should I make next?

What you get

One row per content topic:

• topic and description — what a video on this topic actually contains
• coveredByYou — whether your channel already has comparable videos
• opportunityScore (0-100) — built from real numbers: how these videos perform against your own median views, how recent the topic is, and how many competitors prove it works
• competitorVideoCount, competitorTotalViews, competitorAvgViews, competitorMedianViews
• viewsVsYourMedian — 3.04 means videos on this topic average three times your channel's median
• topVideoTitle, topVideoUrl, topVideoViews and up to five exampleVideos
• coveringChannels and newestVideoDaysAgo — who is doing it and how fresh it is
• suggestedTitles — three specific titles you could publish on the topic
• yourVideosOnTopic — your closest existing videos, so you can judge the call yourself

Use cases

• Content planning — turn a competitor set into a ranked list of what to film next
• Channel audits — deliver a clear gap analysis to a client with numbers attached
• Niche research — map what an entire niche covers before launching a channel
• Relaunch and pivots — find the topics your audience watches elsewhere
• Agency pitches — show a prospect exactly what their competitors earn views on

How to use

1. Enter Your channel (a @handle, channel URL or UC… ID). Leave it empty to simply map what a set of channels covers.
2. Add up to five Competitor channels.
3. Set Videos per channel — 60 recent uploads each is a good default; raise it for a broader picture.
4. Optionally turn on Include Shorts or Include topics you already cover.
5. Run the actor — topics appear in the Dataset tab, highest opportunity first.

Output format

{
  "topic": "AI model breakdowns",
  "description": "Videos analysing specific AI models, their capabilities and limitations.",
  "whyItWorks": "Both competitors average well above their channel median on these.",
  "audienceIntent": "staying current on AI releases",
  "coveredByYou": false,
  "opportunityScore": 76,
  "competitorVideoCount": 28,
  "competitorAvgViews": 837786,
  "viewsVsYourMedian": 3.04,
  "coveringChannels": ["Competitor A", "Competitor B"],
  "newestVideoDaysAgo": 3,
  "topVideoTitle": "Did OpenAI actually build AGI?",
  "topVideoUrl": "https://www.youtube.com/watch?v=VIDEO_ID",
  "topVideoViews": 4100000,
  "suggestedTitles": ["The new model that changes the workflow", "..."]
}

Notes

• View counts come from the public channel pages, so they are the same rounded figures YouTube shows (1.2M views). Medians and averages are computed from those.
• Topics are grouped from the videos that were actually read — raise Videos per channel if a competitor posts very frequently and you want more history.
• Channels with hidden view counts still contribute their titles; their videos simply carry null views.