Use case

AI B-roll for video ads

Generated B-roll is the best use of AI video in an ad: nobody scrutinises a 1.5 second establishing shot. Genyad generates clips from text or an image at 2 credits per second and indexes them next to your real footage so they compete for slots like anything else.

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How to do it in Genyad

  1. Identify the gap. It is usually an establishing shot, a texture, an ambience beat or a transition.
  2. Generate 1.5 to 3 seconds with a simple prompt. Complexity is what breaks.
  3. Let it index into the library.
  4. Brief normally. The clip gets used where it fits rather than being forced in.
  5. Reuse it across campaigns, since the cost was paid once.

What good looks like

  • Short. Under 3 seconds is where generated footage is indistinguishable in a feed.
  • Peripheral. Landscapes, textures, abstract motion, empty rooms, weather.
  • Consistent with the real footage's grade, or close enough that a viewer does not register the cut.
  • Never carrying the claim. B-roll supports the argument, it does not make it.

Mistakes that cost you the test

  • Generating the product. Use image to video from a real photo instead, so the product is right.
  • Generating people. Faces and hands are where the eye goes and where the artefacts are.
  • Long generated sequences. Cost climbs at 2 credits per second and quality drifts.

Frequently asked questions

What is AI B-roll good for?

Establishing shots, textures, ambience and transitions, in clips under about 3 seconds. It is poor at products, hands and faces.

How much does generated B-roll cost?

2 credits per second, so a 2 second cutaway is 4 credits against 1 credit for a whole variation assembled from your own footage.

Does generated B-roll hurt performance?

Not when it is peripheral and short. Ads built mostly of generated footage do tend to underperform ads that show the real product.

Can I reuse the same B-roll across campaigns?

Yes. It is a library clip like any other once generated.

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