Feature

AI-Powered Edit Suggestions

Not generic advice. Timestamped, specific edits tied to exactly where your YouTube Shorts lost viewers — based on real retention data from YouTube Analytics.

Example — Short titled "How I got 10K views in 24 hours"

Hook0:00 – 0:03

You opened with 'Hey guys, so today I want to share...' — 31% of viewers swiped in the first 3 seconds.

Cut the greeting entirely. Open with the result: '10,000 views in 24 hours — here's the exact thing I changed.' Let the claim do the work.

Drop0:14 – 0:17

A 19% retention drop at the transition from hook to explanation. Viewers expected the payoff sooner.

Remove the 3-second B-roll cutaway at 0:13. Move directly from the hook claim into the first specific action. The payoff should arrive by 0:12, not 0:20.

Rewrite0:00 Hook

"The thumbnail change that tripled my views overnight — and it took 8 seconds." — leads with the result, creates a curiosity gap, and earns the first 20 seconds of attention.

Why "Timestamped" Changes Everything

Generic advice — "improve your hook," "add more visual variety," "make it more engaging" — is useless without specificity. Every creator already knows their Shorts could be more engaging. That doesn't tell them what to cut or where.

Timestamped edit suggestions tie each recommendation to the exact second where viewers dropped. You know what was happening in your video at that second. The suggestion knows too. That's what makes the edit actionable — not a general principle, but a specific change at a specific moment based on real viewer behavior.

What the AI Analyzes

Drop-point explanations

For every significant retention drop, the AI explains the probable cause — pacing, missing visual variety, promise not yet delivered, energy drop, abrupt transition.

Specific edit fixes

Each drop explanation is paired with a concrete edit: what to cut, what to add, what to reorder, and where in the timeline.

Hook rewrite

If your hook phase shows a significant drop, ClipHorizon generates a rewritten opening line designed to retain more of your test audience through the first 30%.

Thumbnail moment

The AI identifies the single best frame in your Short for use as a thumbnail — the moment most likely to generate a click based on expression, visual interest, and position in the retention curve.

Audio critique

Analysis of audio quality, pacing of speech, background music balance, and whether the audio is carrying enough of the story without requiring viewers to watch the visual.

Overall readiness verdict

A plain-language summary of whether the Short is ready to publish or should be revised first — and what the single highest-impact change would be.

Pre-Publish File Analysis

ClipHorizon's AI edit suggestions work on published Shorts — and on files you haven't uploaded yet. Upload an MP4, MOV, or WebM up to 3 minutes long and get the same AI analysis before it goes live. Hook strength score, timestamped edit recommendations, audio critique, thumbnail moment identification, and an overall readiness verdict. Catch the fixable problems before the algorithm does.

Try ClipHorizon Free

Get timestamped edit suggestions for your Shorts

Connect your YouTube channel and get AI-powered edit suggestions for every published Short — or upload a file before you post. Free to start with 10 credits.

Get AI Edit Suggestions →

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