AI Explainer Video: How to Make One That Explains Your Product
An AI explainer video is a short video, usually 60 to 120 seconds, in which AI tools help produce some or all of the script, voiceover, visuals, captions and edits. For a SaaS or AI product, the version that works keeps your real product screens as the proof and uses AI for the speed. This guide covers the formats, a seven-step workflow, an accuracy checklist and how to tell whether the finished video is doing its job.
TL;DR
- An AI explainer video gets you a first draft in days instead of weeks. It still needs a human to decide the message, check every claim and approve every frame.
- For software, screen-based formats usually win: real product footage, AI-assisted motion graphics, voiceover and captions.
- Build each video around one viewer, one problem, one workflow and one next action. Do not tour every feature.
- Treat the first AI generation as a draft. Check facts, screens, pronunciation, captions and pacing before publishing.
- Judge success by watch time, drop-off points and the action viewers take next, not by view count alone.
Table of Contents
- What an AI explainer video actually is
- Explainer or product demo: pick the job first
- Choosing a format: avatar, animation or real screens
- A seven-step workflow for an AI explainer video
- Keeping an AI product demo accurate and accessible
- How to tell whether your AI explainer video works
- What we have learned making product videos
- What to expect when you hire a studio instead
- Common mistakes to avoid
- FAQ
- Sources
What an AI explainer video actually is
A traditional explainer is scripted, storyboarded, illustrated or filmed, voiced and edited by a team, one stage after another. An AI explainer compresses those stages. A typical AI pipeline turns a script into a voiceover with text-to-speech, adds an optional presenter avatar synced to the audio, and assembles scenes from stock footage, screen recordings or generated graphics.
The difference is mostly in the production, not in the viewer’s job. The viewer still wants to know what this is, whether it solves their problem and what to do next. A video that answers those three questions in 90 seconds beats a beautifully generated one that does not.
Speed is the real change. Steps that once took two to six weeks can reach a first draft in days when AI handles research, script drafts, voice, animation, music and versions. A first draft is not a finished film, though. Everything that depends on judgment stays with people: which problem to lead with, what to leave out, and whether the product on screen is the product you ship.
Explainer or product demo: pick the job first
People search for both “AI explainer video” and “AI product demo video” because the two do different work.
| Explainer video | Product demo video | |
|---|---|---|
| Viewer question | What is this and why should I care? | How does it work in practice? |
| Typical length | 60 to 120 seconds | 1 to 3 minutes, or shorter clips per feature |
| Main visual | Motion graphics plus key product screens | Real screens, cursor movement, callouts |
| Best placed | Homepage, launch page, ads | Pricing page, onboarding, sales follow-up |
| Success looks like | Viewer understands the idea | Viewer feels confident trying the product |
A useful rule: if viewers need to understand an idea, make an explainer. If they need to see the product in action, make a demo. Most SaaS teams end up needing both, and a launch usually starts with the explainer because it sits where cold visitors land.
For AI products, the explainer has extra work to do. Buyers want to know what goes in, what the AI generates, what the user can edit, what happens before anything is published, and where human review fits. Answer those five points on screen and you remove the most common hesitation about AI software.
Choosing a format: avatar, animation or real screens
The biggest practical decision is the visual format. There are four common ones.
AI avatar presenter. A synthetic or character presenter speaks to camera while visuals play behind. It is fast and works for training and internal updates. For a product launch, a presenter alone can feel generic unless real product footage carries most of the screen time.
Animated explainer. Motion graphics and illustrated scenes suit abstract ideas: data flows, integrations, a before-and-after of a messy workflow. It is the best choice when the product has no obvious interface to show, such as an API or an infrastructure tool.
Screen-recorded explainer. A real recording of the app with AI-assisted voiceover, cursor effects, zooms and captions. This is the dominant format for SaaS marketing, onboarding and tutorials, because viewers see the real product and the real clicks. The trade-off is that recordings age when the interface changes, so plan a light refresh whenever you ship a visible redesign.
Text-to-video generation. Fully generated clips from prompts. Useful for mood, backgrounds and transitions. Do not use it to depict your own interface, because a generated screen is a screen your product does not have.
For most SaaS and AI startups, the strongest result is a hybrid. Real product screens are animated and directed so that attention goes where the story needs it, while AI speeds up voiceover, captions, variations and resizing. The same one-message discipline applies whatever the audience: if you are making a video for hiring instead of selling, this guide to making a recruitment video shows the same logic of one clear goal per film.
A seven-step workflow for an AI explainer video
This is the sequence we recommend, whichever tools you use.
- Choose the approved source. Pick the smallest document that contains the facts you need, such as a product page or release notes. Resolve any conflicting dates, prices, names or policies before generating anything, because AI will repeat whatever you feed it.
- Write a one-line brief. State who is watching, what they should understand after watching, and what they should do next. Add where they will watch (a homepage, LinkedIn, a sales email) and the tone. A fuzzy brief produces a fuzzy video.
- Write the spoken script, one idea per beat. Read it aloud. Roughly 150 words equals 60 seconds of voiceover, so a 90-second video is about 225 words. That is less than most teams expect, and it forces choices.
- Choose the visual format. Use the section above. Decide which moments need real product footage and which can be illustrated.
- Generate a structured first draft. Ask for scene-by-scene output matched to the script, not one long clip.
- Revise hard. Check facts, scene logic, pacing, pronunciation, captions, brand and the call to action.
- Export, test and make variants. Create the 16:9 version for your site, a square or vertical cut for social, and a short 15 to 30 second teaser. Check the exported file, not just the preview.
A script structure that works for software
For a 90-second explainer, this beat map is hard to beat:
| Beat | Seconds | What it does |
|---|---|---|
| Problem | 0 to 15 | Name the pain in the viewer’s own words |
| Solution | 15 to 25 | State what the product does in one sentence |
| How it works | 25 to 65 | Three or four steps shown on real screens |
| Benefit | 65 to 80 | The outcome, with one concrete proof point |
| Next action | 80 to 90 | One call to action |
Two habits keep this honest. First, show one believable scenario completed from start to finish, such as a support lead tagging a ticket and seeing a report, instead of listing features. Second, place one proof point where the claim is hardest to believe. A single customer result or number is more persuasive than a wall of logos and statistics that reads like an argument needing support.
Plan the script together with the interface. Each voiceover line should match a visible action on screen. If the narrator says “filter by owner” while the cursor is somewhere else, viewers lose the thread within seconds.
Keeping an AI product demo accurate and accessible
Speed creates a specific risk: polished videos that are slightly wrong. If a generated video invents a button, reverses a step or rewords an approved claim, the polish makes the error more damaging. Buyers compare what they saw in your video with what they see in the trial, and a mismatch costs trust.
Use this checklist before anything goes public:
- Truth sheet. List the required screens, step order, button labels and claims. Compare the draft against it for omissions, inventions, stale screens and unsupported rewrites.
- Real versus generated. Product footage should be real recordings. AI can build the surrounding motion graphics, captions, voiceover and presenter, but it should not draw interface elements that do not exist.
- Claim substantiation. Every objective claim in narration, captions or on-screen text, such as speed, savings or accuracy, needs evidence you can produce. Remove any number you cannot back up.
- Voice and pronunciation. Listen for product names, acronyms and customer names. Text-to-speech stumbles on them.
- Captions. Add accurate, synchronized captions. Under WCAG success criterion 1.2.2, captions are a Level A requirement for prerecorded video with audio, so they are part of doing the job properly, and they also help the many viewers who watch with sound off.
- Human review. One person who knows the product signs off on the final export, frame by frame.
For AI products in particular, show the review step on screen. A short moment where the user edits or approves the AI output tells buyers the product is built for real workflows.
How to tell whether your AI explainer video works
Teams often stop at view count. It measures reach, not understanding. A better set of measures, all available in the analytics of most video hosts:
- View-through rate and average watch time. Do people reach the end of a 90-second film?
- Retention drop-off points. A steep fall at a certain second usually points to a specific problem: a slow intro, a confusing screen, a crowded scene. Fix that beat first.
- Click-through rate on the call to action. Common explainer metrics include view-through rate, average watch time, engagement rate, click-through rate, conversion rate and drop-off points.
- Conversion on the page. Compare demo requests or sign-ups on the page with the video against the same page without it, over the same period.
- Sales signals. Do prospects arrive better informed? Do the same questions still come up on calls? If they do, those questions belong in the next video.
Set the target before you publish. If the brief says viewers should be able to describe the product in a sentence and click through to a trial, measure exactly that. When the numbers disappoint, change one thing at a time: the opening 10 seconds, the length, or the call to action.
What we have learned making product videos
Most software is hard to explain in the time a visitor gives you. That is why we make every video start with the viewer’s problem and finish with one action.
AI has changed how fast we can produce. It has not changed what makes a video work: a clear message, a script written with the interface, real product screens and someone accountable for the result. That is why we combine human creative direction with AI-backed production, and why each project is led by me personally.
Our approach is to animate your real product screens rather than invent screens that do not exist, then add voiceover, music, sound design and captions, and deliver the formats you need for your site, social and sales. Our goal is a finished film within 10 working days. Since 2020 we have delivered over 6,200 videos, and the pattern is consistent: the teams that do best decide one message before production starts.
If you take one thing from this article, take the brief. A clear brief makes every tool, ours included, work better.
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What to expect when you hire a studio instead
AI tools are a good fit when you have a clear message and time to review. A studio makes sense when you want that message sharpened, the script written, the product screens directed, and a finished set of files delivered without managing a tool stack yourself.
At DreamJuiceAI we publish fixed-price packages for SaaS and AI startups:
| Package | Published price |
|---|---|
| Launch Short | from $1,500, one-off |
| Explainer | from $3,500, one-off |
| Launch Kit | from $7,500, one-off |
| Release plan | $3,500 per month |
| Growth plan | $6,000 per month |
| Scale plan | from $9,500 per month |
The Explainer package is built for the question this article is about: what the product does and why it matters, in a film you can put on your homepage. Product tours and demos and social video ads are available too, and custom projects are quoted for larger or ongoing work. Each package covers scriptwriting, creative direction, message strategy, animation of real product screens, voiceover, music and sound design, captions and multi-format delivery. See all packages on the pricing page, or read what explainer video production includes and costs.
If you are launching a new AI product, our page on launch videos for AI startups shows how we approach the first film. For a worked example of an AI feature explained on real screens, see our AI assistant demo case study. Weighing your options? Our comparison of a freelancer, agency or studio for SaaS video sets out how each model works.
Common mistakes to avoid
Explaining everything. If you try to explain everything the product does, you explain nothing well. Write down the one thing the viewer should understand and cut the rest. Features that do not support it go into separate clips.
Opening with your logo and a mission statement. Viewers decide in seconds. Start with the problem they recognize.
Chaotic interface movement. Rapid zooms, cursor jumps and stacked callouts make a screen unreadable. Slow down, hold each screen long enough to read, and highlight one element at a time.
Letting the first generation ship. It is a draft. The errors AI makes are often small and plausible: a wrong label, a mispronounced name, a step out of order. Those are the ones viewers notice.
One cut for every channel. A homepage film, a LinkedIn clip and a sales follow-up have different viewers and attention spans. Plan the variants in step seven, not after launch. Our guide to video advertising on LinkedIn covers the social side, and our product demo best practices go deeper on the demo format.
FAQ
How long should an AI explainer video be?
Aim for 60 to 90 seconds for a homepage or launch explainer, which is roughly 150 to 225 words of voiceover. Demos can run longer, up to two or three minutes, if each section is clearly labeled. Cut teasers of 15 to 30 seconds for social channels.
Can AI make a product demo video from my real screens?
Yes, and that is the safest approach. You record the real product, and AI helps with voiceover, captions, motion graphics and variations. Avoid generated interface visuals, since a screen your product does not have undermines trust when the viewer opens the trial.
How much does an AI explainer video cost?
It depends on whether you use a tool yourself or hire a studio. Our published prices start at $1,500 for a Launch Short and $3,500 for an Explainer, both one-off, with monthly plans from $3,500. Our SaaS explainer video cost page breaks down what drives the price.
Do AI explainer videos need captions?
Yes. Captions make the video usable for people who are deaf or hard of hearing, and WCAG treats captions for prerecorded video with audio as a Level A requirement. They also help viewers who watch without sound. Always proofread them against the script.
How do I know if my explainer video is working?
Track average watch time, drop-off points, click-through on the call to action and conversion on the page where the video sits. Compare against the same page without the video. Fix the steepest drop-off first.
Sources
- Understanding Success Criterion 1.2.2: Captions (Prerecorded), W3C
- How to Measure the Performance of Your Explainer Video, InetSoft
- Recruitmentvideo: zo maak je er een die sollicitanten oplevert