AI product marketing videos: start with what the product actually does

An AI product marketing video uses AI in part of the process of explaining and promoting a product. That could mean drafting the script, creating visuals, composing motion, or making revisions. The useful question is which part you need help with.

For a software product, the video might introduce a feature, walk through a workflow, or show the result of an action. A feature announcement and a paid ad can use the same product footage, but they need different openings. Existing users already know the product. Someone seeing an ad may not even know the problem you solve.

Write down the person you're talking to and the thing they're trying to get done. Keep it specific enough that you can picture their screen.

Here's an illustrative example we'll use throughout: a fictional project tool adds saved views. The viewer is an engineering lead getting ready for a weekly review. They want to see blocked work without rebuilding the same filters every Monday.

That gives you a story: open the project, choose the saved review view, see the blocked items. You don't need to introduce the whole project tool to explain this feature.

If the interface is the proof, start with approved screenshots or a recording of the actual workflow. If the value is hard to see on a screen, such as work moving between systems, sketch the sequence before making the visual.

Typography can carry a short claim. A product screen can show the action behind it. Use both when they help someone follow the story. Don't put a paragraph of copy over a full dashboard and expect either to be readable.

For the saved-views example, the important visual is the same filter setup opening again. A spinning logo doesn't explain that. Neither does an invented dashboard that looks nicer than the real product.

A prompt like 'make an amazing AI marketing video' leaves almost every useful decision open. Give it the audience, the action, the evidence, and the limits instead.

Audience: engineering leads preparing a weekly review.
Product: a fictional project tool with saved views.
Message: reopen your team's review filters without rebuilding them.
Show: project list, saved view selection, filtered list of blocked work.
Assets: approved screenshots of those three states.
Copy: 'Your weekly review. Already set up.'
End with: 'Create your first saved view.'
Avoid: invented buttons, customer names, performance numbers, or features.
Before making the video: flag any missing assets or unsupported claims.

The example is a proposed brief, not a claim that a particular tool will produce the right result on its first attempt. Review the draft against the brief.

Watch once for accuracy. Are the labels right? Does the action lead to the result you're showing? Is every visible feature available to the audience receiving this video?

Then watch for comprehension. Can you read the key text on a phone? Does the viewer get enough time to see the result? Try it without audio if the story needs to work that way. If you have to explain the video while it plays, revise the sequence.

Treat numbers as claims that need evidence. 'Save three hours every week' is not a stronger version of 'reuse your filters' unless you can support it. The concrete workflow is already useful.

Impractical is an AI motion-design platform that lets your coding agent create, edit, and export product videos. Your agent can create a draft, work on its source files, and request an MP4 export. You still need to supply accurate product context and review the result.

That makes the brief worth doing. It gives the agent something specific to build and gives you something specific to judge. Start with one feature and one clear product action. Expand when that story works.