Eklipse’s viral score is generated automatically by the AI, you can’t manually rank or override it. To improve a clip’s score, you have to improve what the AI sees: use Voice Command to flag big moments, stream at higher bitrate, and edit the clip in Studio before sharing.

> Key Takeaways
> – Viral score is algorithmic, it scores relevance and engagement potential from the captured moment itself, not from a manual slider.
> – Say “Clip it” or “Clip that” mid-stream so the AI grabs the exact peak instead of guessing from the VOD.
> – Stream at higher bitrate and resolution, blurry footage tanks viral score regardless of the play.
> – Edit length and captions in Eklipse Studio before publishing; clean cuts and readable captions push the score up.

Why the viral score feels like a black box #

Jake had a 4-kill clutch in Marvel Rivals that he was sure would be his first Shorts hit. He uploaded the VOD to Eklipse, the AI clipped the moment, and the viral score came back at 62, not the 90+ he’d expected. He searched for a “boost score” button. There isn’t one.

This is the most common viral score question in support: creators see the number, want to push it higher, and look for a manual control. The control doesn’t exist, but the inputs to the score do. Viral score is Eklipse’s read on how well the captured moment is likely to perform on TikTok, Shorts, and Reels, based on the moment’s content, audio cues, motion, and clarity. If you change what the AI captures and how clean the source is, the score moves. Here’s exactly what to change.

What the viral score actually measures #

The score is generated by Eklipse’s AI highlight detection when it processes your VOD. It weighs:

• Moment relevance, does the captured segment contain a recognizable peak (kill, multi-kill, clutch, big reaction, hype audio spike)?
• Engagement signals, chat activity, voice intensity, and visual motion around the moment
• Output quality, source resolution and bitrate of the footage the AI is cutting from

You can’t reach into the algorithm and bump a clip. You can give the algorithm better raw material so the next score is higher on its own.

Use Voice Command to mark the exact peak #

The single biggest lever is Voice Command. Say “Clip it” or “Clip that” the instant a highlight happens, a clutch round, a squad wipe, an unexpected play. Eklipse marks that exact timestamp on the VOD, and the AI builds the clip around your call instead of inferring the peak from kill feed and audio alone.

When the AI works from a guessed timestamp, it sometimes starts the clip two seconds early or cuts off the reaction. Voice Command removes that guesswork. Cleaner cuts → higher viral scores → better Shorts performance.

Want to test this on your next stream? Start a free Eklipse account and connect your Twitch →

Stream at quality the AI can read #

If your VOD is 720p at 3,500 kbps, the AI sees motion blur on every kill. Bump to 1080p at 6,000 kbps minimum, 1440p if your upload allows it, and the highlight clarity jumps. Ultra Highlights captures at 1440p for desktop streamers, which keeps headshots and kill feed text legible even after vertical conversion.

A second factor: keep the action and kill feed visible. If your facecam covers the kill feed, the AI loses one of its strongest signals. Move the cam, shrink it, or pin it to a corner where it isn’t blocking gameplay HUD.

Edit the clip in Studio before posting #

A 38-second raw clip with three seconds of dead air at the front will underperform the same play cut to 22 seconds with the lead-in trimmed. Open the clip in Eklipse Studio, tighten start and end, and add captions. Auto-captions catch every callout and reaction line, readable text on a muted Shorts feed is one of the strongest engagement multipliers TikTok and Shorts reward in their own ranking signals (TikTok Creator Portal).

A clean, captioned, 18–25 second vertical cut almost always outperforms the raw 40-second auto-export, both in Eklipse’s viral score recalculation and in real platform performance.

Workflow summary #

1. Stream at 1080p+ and 6,000 kbps+, better source, better score.
2. Keep kill feed and key HUD elements visible (move facecam off them).
3. Use Voice Command (“Clip it” / “Clip that”) on every big moment as it happens.
4. Process the VOD in Eklipse and review the auto-detected clips.
5. Open the top candidates in Studio; trim dead time and turn on auto-captions.
6. Export the cleaned version, Eklipse will re-score the edited clip.
7. Publish via Content Publisher and check actual Shorts/TikTok performance after 48 hours.

Stop chasing the score, start shipping the clips #

Viral score is a guide, not a verdict. Plenty of clips with 60-something scores go off because the moment is genuinely funny or unexpected, and plenty of 90+ scores stall because the creator never posted them. The fastest way to learn what the algorithm rewards on your content is to publish, watch what hits, and feed those signals back into how you stream.

Eklipse handles the detection, the vertical conversion, and the captioning, your job is to play and post. Create a free account and let the AI score your last VOD →