AI Marketing Video Generator

Video for everything that is not a paid ad: the explainer on your homepage, the launch film, the feature announcement, the weekly social post you keep meaning to make. Write it, generate the footage, add voiceover and captions, and publish on a schedule.

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How to make a marketing video

Decide what the video is for
An explainer that has to survive being someone's first contact with your product and a thirty-second social clip aimed at people who already follow you are different films. Deciding which one you are making determines length, opening and tone, and skipping the decision is why so much marketing video ends up serving neither purpose.
Write the script
The product writes scripts, so you can begin from a brief rather than an empty page. Structure beats polish: one idea per section, the point made before the detail, and no throat-clearing at the top. Read it back and cut the first paragraph. It is almost always warm-up.
Build the shots
Work out what is on screen for each line, then generate it. Scenes, product shots, abstract cutaways, an end card. Generating a still first and animating it once you like it keeps things consistent across a series and saves iterating on video, which is the slower loop.
Add voiceover and captions
Voiceover is generated from the script and captions follow it. On social the captions do most of the communicating, and on a website the voiceover is what makes an explainer watchable rather than a slideshow with subtitles.
Cut it shorter than feels right
Almost every marketing video is too long, usually because it explains things nobody asked about yet. Take out the section you are least sure about; if the video still makes sense, it did not belong.
Publish across channels
The finished video can go to YouTube, TikTok and Instagram on a schedule. Producing a month of output in one sitting and letting it release over four weeks is the difference between a channel that runs and one that stops in February.

What people make with it

Product explainers

The sixty-to-ninety-second film that says what the thing is and who it is for. Usually the highest-leverage video a company owns, because it sits on the homepage and answers the question every visitor arrives with.

Launch and announcement films

A new product, a rebrand, a funding round, a partnership. These have a fixed date and a short shelf life, which is exactly the combination that makes a traditional production schedule uncomfortable.

Feature releases

Software ships continuously and each release deserves more than a changelog entry. A short clip showing the feature in use travels further than a paragraph, and the format is repeatable enough to become routine.

Ongoing social content

The steady weekly output that keeps a channel alive: tips, explanations, behind-the-scenes, answers to the questions people keep asking. Consistency matters more than any individual post, and consistency is a production problem.

Customer education and onboarding

Short videos that show how to do the thing rather than describing it. They reduce support load, they get watched in-app, and they age with the product. That means they need remaking often enough that a slow pipeline never keeps up.

Turning written material into video

A good blog post, a case study, a research finding, a conference talk. The thinking is already done; what is missing is a version that works where people actually spend their attention.

Recruitment and internal comms

Culture videos, role explainers, all-hands summaries. Rarely important enough to justify a production budget, frequently important enough to be worth doing properly.

What is an AI marketing video generator?

A marketing video generator produces the video a company uses to explain and promote itself: explainers, launch films, product tours, social clips. You supply the brief or the script, and the product generates the footage, the voiceover and the captions, then assembles them into something you can publish.

It differs from an ad generator in what it optimises for. An ad exists to be tested. Many variants, short lifespan, measured on cost per result. A marketing video usually exists to be understood: one version, a longer life, judged by whether the viewer comes away knowing what you do. That changes the work. You spend the effort on the script and the structure rather than on producing thirty near-identical cuts.

The reason to generate rather than film is not that generated footage is better. It is that most marketing video never gets made at all. It sits on a list, waiting for a budget, a shoot date and someone to own it, and by the time those align the feature has shipped and the moment has passed. A pipeline that turns a script into a publishable video in an afternoon changes what makes it onto the calendar in the first place.

Marketing video vs ad creative: what each demands

These get conflated constantly, and the conflation produces bad work in both directions: explainers with a scroll-stopping hook nobody asked for, and ads that spend eight seconds on brand story before mentioning the product. They are different jobs with different success conditions, and it is worth being explicit about which you are making before you write a word.

Ad creative is bought attention. The viewer did not choose to watch, the clock is hostile from frame one, and the ad is one of many variants whose only purpose is to out-perform the others. It is measured in cost per result and it is disposable by design. Everything about how you make it follows from that: front-load the hook, keep it short, produce many, kill what loses.

A marketing video is earned attention, or at least tolerated attention. Someone clicked a homepage play button, or opened your channel, or followed a link from a launch post. They have already decided to give you thirty seconds, so the job is not to grab them. It is not to lose them. That means clarity over surprise, a structure that holds, and enough substance that the time was worth spending. One good version beats twenty variants, which is precisely the reverse of the ad case.

The measurement differs accordingly, and this is where teams go wrong. Judging an explainer on view-through rate the way you would an ad will make you cut it until it says nothing. Judging an ad on how thoroughly it explains the product will make you build something nobody watches. Ask instead whether the explainer made the next step obvious, whether the launch film got shared by the people you wanted sharing it, whether support tickets about that feature went down after the tutorial went up.

The production model differs too. Ads want a matrix and a testing cadence. Marketing video wants a calendar and a house style. A recognisable way your videos look and sound, so the tenth one benefits from the nine before it. Building a small set of reusable structures (the feature clip, the explainer, the customer story) and refilling them is how a channel becomes maintainable rather than a series of one-off efforts that each need a decision about everything.

There is a useful relationship between the two. Marketing video is where you find out how to describe the product, because you have room to make the full argument and see which framing readers respond to. Ads are where you compress the winning framing into three seconds. Teams that run both usually find the ad copy that works was first written for something longer.

Getting better results

Write the last line first
Decide what the viewer should be able to say when the video ends, then work backwards. Videos assembled forwards from an opening shot tend to arrive somewhere vague, and vagueness is the failure mode of marketing video the way length is the failure mode of ads.
One idea per video
The urge to cover everything is why explainers reach four minutes and get watched for twenty seconds. Three short videos on three ideas will each be watched to the end; one video on all three will not.
Show the product doing the thing
Abstract footage is easy to generate and easy to ignore. Whenever a line makes a claim, put the evidence for it on screen at the same moment. A screen capture, a demonstration, the actual result. The pairing is what makes a claim land.
Settle the look in stills
Images come back faster than video, so decide the palette, the framing and the style while iteration is cheap, then animate the frames you approved. It is also how a series of videos ends up looking like a series rather than a collection.
Describe motion, not mood
"Cinematic" gives the model nothing to act on. "Slow push in, light moving across the surface, background falling out of focus" describes something that can be rendered. Direction, subject and speed are the three useful things to specify.
Write for muted playback anyway
Even earned attention is often silent. Someone watching in an open-plan office or on a train. Captions should carry the argument on their own, which mostly means shorter sentences than you would write for a voice.
Build a house style and reuse it
Same opening structure, same caption treatment, same kind of end card. Consistency does two things: it makes your videos recognisable in a feed, and it removes most of the decisions from the next one, which is what makes a weekly cadence survivable.
Batch production, stagger publication
Making four videos in one session is far less than four times the work of making one, because the thinking is shared. Scheduling them out across a month is what turns that session into a channel that keeps posting.
Remake rather than patch
When the product changes, an explainer that no longer matches it costs you more than no explainer at all. Rebuilding from the script is quick enough here that keeping videos current is a maintenance habit rather than a project.

Models available

Veo 3.1 — Google's photoreal generation, with sound. Up to 12 seconds.
Kling 3 — Cinematic motion that holds a character across a cut.
Seedance 2.0 — ByteDance, up to 24 seconds. The long shots. Useful when a scene needs to breathe rather than cut.
Nano Banana 2 — Google's best stills. Generation and editing, to 4K. Where the look of a series gets decided.
Grok Video — xAI. Fast image-to-video, and text-to-video.

Questions

How long should a marketing video be?: As long as the single idea needs and no longer. Explainers on a homepage generally work between sixty and ninety seconds; a feature clip is often under thirty. The reliable test is whether you can remove a section without the video stopping making sense. If you can, remove it.
Can I use my own images and brand assets?: Yes. Images you already own can go in alongside generated material, and for product videos that is usually the right mix: real pictures and screen captures of the product, generated footage for the scenes around them. A still of your own can also be animated rather than dropped in flat, which is often the better use of it.
Does it write the script?: Yes. The product writes scripts, so a brief about the audience and the message is enough for a first draft. The structure is the part worth editing yourself, because it decides whether the video is understood.
Can I add voiceover and captions?: Yes. Voiceover is generated from the script and captions follow, so what you end up with is a publishable video rather than silent footage waiting on an editor.
Can I publish straight to YouTube, TikTok and Instagram?: Yes, and on a schedule. That is the part that matters for a channel. Producing several videos at once and releasing them over the following weeks is how a cadence survives a busy month.
How is this different from the ad generator?: The ad studio is built for producing many variants of a short paid asset and testing them against each other, out of product shots and generated scenes. Marketing video is the work described on this page: explainers, launches, feature clips, ongoing social. The videos you publish and keep. Different job, different structure, and the two are worth keeping separate even though both draw on the same models and the same editor.
Can I use the videos commercially?: What you make is yours. Check the terms for the specifics before building a campaign around it.
What if the footage does not match what I described?: Rewrite the description in concrete terms and generate again. What is in frame, how it moves, how fast. Being specific about movement and subject changes the result far more than adding adjectives, and generating a few options is normal rather than a sign something went wrong.