How to Make AI Videos for Product Marketing: A Repeatable Workflow

Making an AI video for product marketing is five steps: decide what the video is for, set your brand once, write a brief instead of a script, approve the story before anything renders, then cut the one project for every channel. The tooling is the easy part now — the quality gap between a good AI product video and an embarrassing one comes almost entirely from the two review gates in the middle. This is the workflow, in order, with the checklists we actually use. If you want the landscape view of the category first, start with AI-generated videos for product marketing and come back here for the process.

Step 0: decide what the video is for

Most bad product videos are bad because they were never assigned a job. Before you open anything, name the trigger, the one message, and the single place the video will run first. Everything downstream — length, pacing, whether there's narration — falls out of that decision.

One trigger, one video, one message. If the brief contains the word "and" twice, you have two videos. See product launch video length for why the numbers above are tighter than instinct suggests.

Step 1: set the brand once, not per video

This is the step that separates a video programme from a pile of one-offs. Load your colours, type, logo, and tone into the tool once so every subsequent video inherits them. If you're re-specifying "use our blue, our font, keep it understated" in every prompt, you'll get drift — the fourth video won't match the first, and nobody watching will be able to say why your marketing looks slightly off. Brand memory is the single most important feature to look for in a generator for this reason.

Step 2: write a brief, not a script

The instinct is to write the words you want on screen. Resist it. A generator writes better on-screen copy than most of us do at 11pm, but it can't invent the things only you know. Put those in, and let it handle the phrasing.

• What shipped, in one plain sentence — no adjectives.
• Who it's for, specifically. "Support leads at 50–200 person SaaS companies" beats "teams".
• The before and after: what the viewer does today, and what changes.
• One piece of proof — a number, a benchmark, a customer quote. Exactly one.
• The call to action, and where it points.
• Where it runs first, and the aspect ratio that implies.
• Tone, and one thing to avoid. "Confident, not hypey. No stock-footage feel."

A usable brief looks like this: "We shipped saved views for support queues. It's for support leads at 50–200 person SaaS companies who currently rebuild the same filter every morning. Now they save it once and it's there. Beta users cut triage time by about a third. CTA: try saved views, links to the changelog. Runs on LinkedIn first, so 1:1. Confident, understated, no stock-footage feel." That's forty seconds of writing, and it's the whole video. Longer version in how to write a product video brief.

Step 3: approve the story before anything renders

This is the gate everyone skips, and it's the one that pays. Rendering is the slow, expensive step; the story is text and costs nothing to fix. Read the proposed structure before you let it animate, and push back in words rather than re-editing frames later.

• Do the first three seconds say what this is? Not a logo, not a swoosh — the actual claim.
• Is there one message, or has a second snuck in?
• Does the CTA name a specific next action, or does it say "learn more"?
• Would the whole thing still land with the sound off? Most of your audience will watch it that way.
• Is every claim on screen something you could defend in a support ticket?
• Does the product appear doing the thing, rather than being described?

Two of those failures explain most underperforming launch videos — see why launch videos don't convert — and both are cheap to fix at the text stage and annoying to fix afterwards. Structure worth copying is in the anatomy of a launch video.

Step 4: review the render like a viewer, not an author

Watch it once at the size and in the context it'll actually be seen — on a phone, in a feed, muted, mid-scroll. Authors watch their own videos full-screen with sound and rate them far too highly.

• Is the smallest type legible on a phone? If you have to lean in, it's too small.
• Does the motion mark the beats, or is it moving because motion is available?
• Are the brand colours actually yours, or nearly yours? Nearly is worse than not at all.
• Are captions burned in? Silent autoplay is the default everywhere that matters — see how to add captions to a video.
• Does the last frame hold the CTA long enough to read it twice?

Step 5: cut one project for every channel

The economics of AI video only really work when one generation becomes every asset. Export the master, then take the ratios and lengths each destination wants rather than uploading a 16:9 cut everywhere and letting the platform crop your headline in half.

Specs per platform are in the video aspect ratio guide, and the full slicing playbook is in repurposing a launch video into social clips.

Turning it into a cadence

The point of this workflow is that it survives contact with a release schedule. Attach it to something that already happens — every release, every changelog entry, every feature flag flipped on — so nobody has to decide whether this ship deserves a video. Pull the brief from your release notes rather than writing it from scratch (release notes to motion covers that translation), keep the brand kit warm, and reuse the structure that worked last time. The first video takes an afternoon because you're inventing the process. The tenth takes twenty minutes because you aren't.

What AI still won't do for you

It won't decide what matters about your release. It won't tell you your proof point is weak, or that you're announcing something nobody asked for. It won't catch that your claim is technically true but misleading. Those are the judgement calls that used to hide inside the two weeks you spent waiting on an agency, and they don't disappear when the render takes four minutes — they just arrive sooner and with less cover. The workflow above is mostly a structure for making sure someone still makes them.

How to make AI videos for product marketing — FAQ

The workflow is the product, not the tool. Set the brand once, brief properly, gate the story and the render, and cut for every channel — then describe your next release to Maybe Labs and run it.