Cómo crear vídeos con contenido generado por los usuarios (UGC) mediante IA: guiones, indicaciones y ganchos

To make AI UGC videos, turn one product benefit into a short script, create a presenter or product-led scene, generate a few simple shots, and edit them into a vertical ad. Add accurate captions, check the product in every shot, disclose realistic AI content where required, and test different openings before increasing your ad budget.

The difficult part is getting the words, the product and the action to agree. A convincing presenter cannot rescue a phone stand that changes shape halfway through a demonstration. A beautiful clip also tells you nothing about whether people will buy.

This guide builds a simple example around an unbranded desktop phone stand, with a 15-second script, reusable prompts and a practical hook test. The example is an invented advertising concept, not a customer review or a product-performance test.

If you want one place to work on the brief and generate your first scenes, start with GlobalGPT. Its workspace includes chat, image and video tools; assemble your selected footage in your usual editor. This guide is published by GlobalGPT.

Prueba más de 100 modelos destacados en GlobalGPT

What Is an AI UGC Video?

An AI UGC video is synthetic advertising made in the style of creator content: someone talking to a phone camera, a close product demonstration, an unboxing or a short everyday scene. In this context, “UGC” describes the creative style. It does not mean a real customer filmed the material or personally recommends the product.

That distinction matters when you write the script. A fictional presenter can explain an advertised feature. It cannot truthfully say, “I bought this last month and it changed my life.” If you have a genuine customer’s account and the necessary permissions, preserve the meaning of that account rather than inventing a stronger one.

In the US, 16 CFR 465.2 on false reviews and testimonials prohibits specified business practices involving material misrepresentations about whether a reviewer exists, used the product or had the described experience. An AI label does not turn an invented customer story into genuine testimony.

For a first project, a short demonstration is a useful starting point. Show what the product is, what the viewer does with it, and the next action they can take. Keep unsupported health, income, savings and performance promises out of the example.

Choose a Workflow That Fits the Job

Choose tools around the part of production you need to control. An avatar workflow suits a script-led explanation. A product-reference workflow is more useful when the exact packaging, shape or screen matters. An editor connects the shots and gives you reliable control over captions and timing.

Higgsfield’s UGC tutorial describes a Marketing Studio route that connects product inputs, an avatar and a creative style. That is one provider’s workflow, rather than a requirement for making this format.

Arcads’ AI UGC page emphasizes an actor library and connected advertising workflows. Inspect a sample relevant to your product instead of treating a promotional example as evidence of the results your own ad will achieve.

HeyGen’s marketing workflow emphasizes avatars, editing, localization and brand controls. Those capabilities can matter when your bottleneck is delivering a script consistently across several versions.

For a broader shortlist, use our Comparativa de generadores de vídeo con IA to identify candidates, then verify their current controls and generation prices. The best starting point is the route that can produce your particular shot with the fewest avoidable revisions.

How to Make AI UGC Videos in 7 Steps

1. Write a Brief the Footage Can Actually Support

Start with one audience, one situation and one visible benefit. For the phone-stand example, the audience is people working at a desk; the situation is a phone lying flat beside a keyboard; the creative idea is to show a screen positioned upright within view.

List the facts you can substantiate. For a real product, that might include its dimensions, compatible devices and the way its hinge works. Separate those facts from suggestions the writing model invents. Do not let “adjustable stand” become “fixes neck pain” because the second phrase sounds more persuasive.

Use this brief prompt to produce the first script. Replace the example facts with approved facts about your own product.

Write a 15-second creator-style ad script for a desktop phone stand.
Audience: people working at a home-office desk.
Situation: the phone lies flat beside a keyboard.
Approved message: show a phone positioned upright in the stand.
Required structure: opening question, visible demonstration, one next step.
Output a three-row table: time, spoken line, shot.
Keep the complete script under 35 words.
Do not invent a customer, personal experience, health benefit, price,
compatibility claim, discount, review, statistic or performance guarantee.
Give three alternative opening lines separately.

2. Prepare the Product Reference

For an actual product ad, begin with photographs or footage you have permission to use. Include an unobstructed front view and, when relevant, a side view showing how the object works. Keep packaging, labels and accessories visible enough to compare against the generated result.

Use the generator’s reference-image control when it supports one. Writing a file path into a prompt is not the same as attaching the image. Our Guía para convertir imágenes en vídeo con Kling introduces that type of workflow; confirm the controls available in your selected route.

Text-only generation is suitable for an invented concept, like the stand example here. It does not guarantee a faithful reproduction of an item you sell. If a key detail must be exact, use real product footage for that section of the ad.

3. Make Each Line Earn Its Shot

Write the spoken lines and the shots together. If the line says “folds flat,” the footage needs to show that exact mechanism. If the line says “fits in your pocket,” the claim needs substantiation and the shot needs to demonstrate it accurately.

A useful first structure is three beats: an opening that identifies the situation, a demonstration that makes the benefit visible, and a specific next step. Read the script aloud. If it only fits when you rush, remove a sentence before generating anything.

4. Choose a Presenter and Keep a Continuity Note

Use a licensed stock avatar, a fictional generated adult, or a person whose likeness and voice you have permission to use. Give the presenter a consistent appearance, outfit, setting and speaking style. Avoid using a famous person’s identity to make a product seem endorsed.

Keep those decisions in one reference note, alongside the product views and camera direction. Our Guía de coherencia en los vídeos sobre IA explains how to keep characters, props and scenes stable across separate clips. Matching words in a prompt helps communicate intent, but it does not lock an identity by itself.

5. Generate Short Scenes With One Main Action

Ask a scene to do one useful thing: introduce the presenter, show the product, or create the opening movement. Leave a little stillness at the beginning and end so the editor has somewhere to cut. Start with the simplest action that communicates your idea.

For this example, the three body scenes are a phone and stand entering the frame, a close product view, and a presenter delivering a closing line. The landscape Hero is a separate scene composed for the article, rather than a crop of the portrait ad.

If you are learning that route, our Grok image and video walkthrough gives additional context. Save the actual prompt and returned settings for each shot so you know what produced the result.

6. Edit the Ad and Add Accurate Captions

Put the opening first, follow with the demonstration, and end with a clear action. Trim pauses that do not help the message. Add captions in the editor, where you can control spelling, timing and placement precisely. Keep important words, the face and the product away from interface overlays, and check the actual placement preview.

For a portrait feed, use a 9:16 composition as your starting point. A 1080 x 1920 editing canvas is a practical delivery target when supported by the placement; it does not make lower-resolution source footage natively 1080p. Keep a separate landscape export for a website use that calls for one.

If you are starting from an existing clip, our Guía del flujo de trabajo de vídeo a vídeo explains a different production route. Treat a generative transformation separately from ordinary trimming, and check the product again after any transformation.

7. Review the Facts, the Motion and the Disclosure

Watch once for the message, once for the product, and once for sound. Inspect the first frame, the object interaction and each cut. Compare any spoken claim with the evidence you approved in step one. Listen for invented words, wrong pronunciations and unnatural changes in voice.

YouTube’s current AI disclosure guidance requires disclosure for realistic content that is meaningfully generated or altered with AI, including a realistic scene that did not occur. Follow the current disclosure and advertising requirements for each destination; an organic upload setting is not proof that a paid ad meets every advertising rule.

A 15-Second Script You Can Adapt

Here is a first-cut plan for the fictional phone stand. The timings are editorial targets, not a promise about what any generator will return. Keep the script short enough to leave time for the product to register.

The first two lines can be caption-led if the product scenes have no usable speech. Record or generate a permitted voiceover if you need narration throughout, and listen to the complete edit before using it. Do not assume that three independently generated clips will share one voice or one presenter identity.

In this example run, all four original clips returned at 1280 x 720 and about 5.04 seconds, including the three requests for portrait footage. The finished vertical example uses local reframing and captions on a 720 x 1280 canvas. It shows the editing structure, rather than demonstrating native portrait generation.

The stand details also vary across the independently generated scenes, and the talking-head source places the phone horizontally. The edit crops that phone out of the closing shot, but these clips still do not establish exact product continuity. For a real campaign, replace inconsistent product views with approved footage before launch.

The reusable part is the structure: a recognizable situation, a visible demonstration, and one action. Replace the product and substantiated benefit without turning the script into a list of every feature you sell.

Three Scene Prompts for Your First Draft

These prompts describe the planned example scenes. They are creative inputs, not guaranteed outputs or verbatim transcripts of generated audio. If the exact product matters, attach your approved reference in the tool and simplify any motion that makes its shape drift.

Talking-to-Camera Closing

Keep the line short and the movement small. A direct, readable delivery gives the editor a useful ending without requiring the presenter to handle several objects at once.

An original vertical phone-camera UGC-style spokesperson clip, one continuous five-second shot. A fictional adult woman around thirty with short dark hair, a plain forest-green shirt and natural skin texture sits at a white home-office desk. A black smartphone rests upright on a simple matte blue triangular metal phone stand at the bottom of the composition. Looking into the camera, she says in clear conversational English: 'See how this stand fits your desk.' Relaxed natural delivery with synchronized lip movement, one small open-hand gesture, soft window daylight and quiet room sound, no music. Leave clear space above her head and keep hands and product inside the frame. She is an illustrative brand presenter, not a customer describing an experience. No logos, on-screen text, subtitles, transitions, extra people or product transformations.

Product Demonstration Insert

The product is the main subject of this shot. Check the phone’s position, the stand’s retaining lip and the hand’s contact with the object. If those details fail, attractive lighting does not make the demonstration usable.

An original vertical UGC product-demonstration insert, one continuous five-second close shot at a white home-office desk. A black smartphone with a dark unlit screen stands vertically on a simple matte blue fixed-angle metal desktop phone stand. The stand has one stable triangular side profile, a flat base and a small front retaining lip; it does not change shape or unfold. An adult hand enters once from the side and gently taps the outer side of the phone, then leaves. The phone stays securely seated with physically correct contact throughout. A plain red notebook is visible to the left. Gentle slow camera move from front three-quarter to slightly closer, soft window daylight, accurate materials, realistic fingers, product stays fully visible. No face, no text, no logos, no interface, no claims, no subtitles, no cuts and no floating objects.

Visual Hook

A simple entrance gives the opening a visible event. Keep the object together as it moves and leave an uncluttered hold at the end. Add the opening question during editing rather than asking the video model to spell it on screen.

An original vertical UGC visual hook, a simple five-second continuous shot. Begin on an uncluttered white home-office desk, with a plain red notebook near the left edge. An adult hand slides a stable matte blue fixed-angle triangular metal phone stand into the center from the right. A black smartphone with a dark unlit screen is already securely upright in the stand; phone and stand move together as one supported assembly and do not change shape. The hand releases the flat base, leaving the product clearly centered for the final two seconds. Close three-quarter phone-camera view, subtle handheld movement, soft natural daylight, realistic fingers and credible friction on the desk. No people beyond the single hand, no printed text, logos, subtitles, graphics, screen interfaces, transformations or product-performance claims.

Many weak outputs start with several competing instructions. Our Guía sobre los errores más comunes en los vídeos generados por IA covers ways to simplify the brief before spending on another version.

How to Test AI UGC Hooks

Begin with three different reasons to pay attention. Changing one adjective is unlikely to teach you much about the audience’s underlying interest. The examples below change the opening angle while keeping the product and intended next step consistent.

For an initial hook test, reuse the same approved middle and ending. Keep the offer, landing page and intended audience aligned. Label files with the angle and version so a result can be traced back to the exact creative.

Changing only the opening in your files does not guarantee that an ad platform delivers a controlled experiment. Use its split-test controls when appropriate, and account for differences in spend, audience and delivery. Treat a small early result as directional rather than declaring a winner after a handful of views.

Use early retention to investigate whether the opening earns attention. Use clicks to investigate whether the message earns the next step. Use the conversion action that matters to the business to judge the ad’s outcome. A clip can attract views while bringing very few qualified visitors.

Set a test budget and review point before launch. If the opening improves attention but the landing page does not convert, inspect the offer and message match before ordering a larger batch of videos. A predictive creative score can help sort ideas, but it is not a measured conversion rate.

What Does an AI UGC Video Really Cost?

Compare the cost of usable finished ads, rather than the cost of a single generation. Account for generation, additional attempts you choose to authorize, editing, captions, voice work and the portion of subscription costs attributable to the project.

Production cost per usable ad =
(generation + editing + voice/captions + allocated subscription cost)
/ number of ads that pass your acceptance checks

For example, if a hypothetical batch costs $40 and four ads pass review, its production cost is $10 per usable ad before ad spend. If only one passes, the same batch costs $40 per usable ad. Those figures illustrate the calculation; they are not a vendor quote or a result from this project.

Check the selected model, duration and settings before generating. Credit systems and plan inclusions differ between platforms, so do not convert one provider’s credit amount into another provider’s dollar price.

An interrupted request also deserves investigation before a new submission. The original job may still be processing. Our AI video generation failure guide separates request errors, queued jobs, playback problems and creative failures so you can choose the appropriate next action.

Fix These Problems Before Exporting

Review a clip for a specific job. A pleasant-looking shot may work as an opening but fail as a close demonstration. Keep the reasons for rejecting footage, because “the hand passes through the phone” is a much more useful revision brief than “make it more realistic.”

For our visual selection rubric, score subject clarity, stable geometry, purposeful motion, framing and technical integrity from zero to two each. Use eight out of ten as the minimum, with any severe anatomy or product error treated as a rejection. Speech accuracy, rights and advertising compliance still require their own checks; a visual score does not settle them.

Preguntas frecuentes

Make One Clear Ad, Then Improve One Thing

Start with the claim you can support, write the shortest script that communicates it, and make each shot serve that script. Finish one coherent ad before adding more presenters, products or scenes. Then change the opening and learn from the result.

Utilice GlobalGPT to draft the brief and create your first scenes, keep the product evidence close, and spend your next round of effort on the part that actually needs improvement.