AI Video Cut launches three new features to help marketing teams do more with the video they already have

A new product update from AI Video Cut takes aim at one of the most persistent pain points in B2B content: the gap between long-form video assets and the short-form clips those assets should be producing. 

AI Video Cut, an AI-powered video repurposing platform, has launched three new features designed to reduce the time and cost of converting long-form video into short-form content for paid and organic channels. The update includes Custom Prompts, Transcript-Based Video Editing, and Smart Crop with Face Detection. All updates are available now across its free and paid plans. 

For B2B marketing teams, the timing is relevant. Short-form video demand has grown, compressing production timelines at a moment when most teams are already stretched. While most B2B brands have years of webinar recordings, exec interviews, product demos, and event footage sitting underused, the challenge is the cost and effort of turning that footage into platform-ready clips. 

What the features can do for marketers. 

• Custom Prompts – Marketers can now define clip selection criteria in plain language aligned to campaign objectives, such as “extract product benefit statements,” “find moments that address the core objection,” or “cut clips suitable for mid-funnel paid social.” Instead of generic automation, the AI selects clips based on what you’re actually trying to accomplish. 

• Transcript-Based Video Editing – Non-editors can now refine clips by editing the text transcript directly. Removing a sentence cuts the footage. Correcting a word fixes the caption. For teams without in-house editors, this removes a key production dependency without requiring anyone to learn an editing tool. 

• Smart Crop With Face Detection – Footage is automatically reframed to keep the primary speaker centered in vertical format. This means existing keynotes, executive interviews, and product launch recordings can become mobile-first creative without reshooting or post-production work. 

Why this matters for B2B teams. 

Most conversations about short-form video focus on consumer brands and creators. But the asset library problem is actually more acute in B2B, where production budgets are significant, content is high-stakes, and the team responsible for repurposing that content is often one or two people without dedicated editing resources. 

Tools like AI Video Cut are targeting that gap. The ability to direct the AI with campaign-specific language—rather than just asking it to “find highlights”—is the part of this update most worth paying attention to. It shifts AI-assisted editing from something that saves time to something that can be trusted with strategic decisions about what content to surface. 

The takeaway. 

If your team has a library of long-form video that isn’t being repurposed because the editing bandwidth doesn’t exist, this kind of tool is worth evaluating. The Custom Prompts feature in particular is a meaningful step forward. It has the potential to give marketers intent-driven control over what AI selects rather than just letting it guess. The real test will be whether the output quality holds up at scale, but the direction is right for where B2B content teams are currently struggling.