AI video ads for business: how they are produced, what they cost and what Meta and YouTube label

An AI video ad is a video ad whose scenes, characters and voice-over are generated with artificial intelligence, with no shoot day. For a small business it opens up something new: scenes that are hard to film, and several versions of the same ad without filming again. A weak AI ad, though, looks fake, and sometimes also picks up a label you had not planned on. In this article we break down how an AI video ad is produced in six stages, what determines the price, what Meta, YouTube and Google Ads label as of September 2026, and where Israeli law stops you.

AI video ads: when they suit a business and when they do not

An AI ad is built like any other ad: a script, pacing, music and captions. The difference is that the image is generated in a model rather than captured by a camera. That makes it strong in exactly the places where filming is expensive, slow or impossible.

It suits you when:

• The scene is hard to film. Aerial footage, a designed living room that does not exist yet, or a visualisation of what happens inside the body.
• You need several angles on the same message. Two concepts for the same promotion, say, to see which brings in enquiries before you raise the budget.
• The promotion is short-lived. There is no time before the holiday to arrange a shoot day, styling and a location.

It suits you less when:

• Trust is built on your face. The owner, the team and the real place are more convincing than any generated character.
• The customer buys on an exact detail. A model may change the colour, the texture or the proportions of the product.
• It is a customer testimonial. A recommendation from a person who does not exist is deception, not creative.

The common solution is a mix: real footage of the product or the place, with AI scenes around it. We have written about the image and video generators themselves, and which tool suits which task, in our guide to AI images and videos for marketing. Here we focus on the ad itself.

How an AI video ad is produced: 6 stages

1. A one-page brief. What the offer is, who it speaks to, which platform the ad will run on, and what action you want: a call, a message or a purchase. Without a clear offer, even an impressive scene will not bring enquiries.
2. A script with three openings. Write one script and three different openings. The viewer decides quickly whether to keep watching, which makes the opening the part most worth testing.
3. A key frame for every scene. First build each scene as a still image: character, product, lighting and style. Approve the images, and only then animate. That way you make your corrections at the cheap stage.
4. Generating the video. Each scene is generated separately, usually over several attempts, and you pick the best. Keeping a character consistent between scenes is the big challenge, so one main character is better. Check faces and hands in every scene: skin that is too smooth and movement that is not quite natural give an ad away fast.
5. Voice-over, music and captions. Voice-over in Hebrew, and captions that read without sound. Hebrew text is added in the edit, because text a model generates inside the scene can come out garbled.
6. A version for every screen. 9:16 for Reels, Stories and Shorts, and a square or 4:5 version for the feed. Keep a list of the tools used in each scene, too, because it will help you with the labelling question.

How to build an opening, captions and pacing for a short video is set out in our guide to Reels for business.

What an AI video ad costs, and what moves the price

There is no standard price list for an AI ad, and with us too the price is set in a quote based on scope. An ad like this saves the expensive lines of a filmed production, and adds other lines.

What makes an AI ad more expensive:

• Length and the number of scenes. Every scene is generated, selected and edited separately.
• Realistic people. A character speaking to camera, with lips moving in time with the voice-over, takes more work than a product or landscape scene.
• Fidelity to the product. A product that has to look exactly as it does in reality calls for real footage to be mixed in.
• Languages and versions. Voice-over in Hebrew and English, the number of openings and the number of aspect ratios.
• Revision rounds. Check how many are included before you start.

For comparison, filmed video production of a social video starts with us at ₪1,500, and a full brand video at ₪5,000. And what about doing it yourself? Video, voice and editing tools are sold on subscriptions, but the real cost is the time: many attempts per scene, editing, and adapting to each platform. On top of that, the video is only part of the cost. The media budget is separate, and we have written about budgets and cost per lead in what Facebook and Instagram advertising costs.

What Meta and YouTube label in an AI video ad

Meta: Facebook and Instagram

According to Meta's announcement, updated on 1 June 2026, the "AI info" label comes from two sources:

• Meta's own tools. An ad created or significantly edited in Meta's AI tools gets a label. When the tools add a photorealistic person, the label appears next to the Sponsored marker.
• External AI tools. Meta is beginning to detect automatically ads created or edited in external tools, based on industry-standard signals. When it detects one, the label goes into the "About this ad" screen in the three-dot menu.

For ads on social issues, elections and politics the rule is stricter. Under Meta's advertising policy, the advertiser must themselves label realistic content created with an external AI tool — a person who does not exist, say, or an event that did not happen. An ad that is not labelled as required is rejected.

YouTube and Google Ads

Here there are two sets of rules. According to YouTube's help centre, a video uploaded to a channel must be labelled when it is realistic and was created or significantly altered with AI. For example, a real person saying something they did not say, or a realistic scene that did not happen. You do not need to label unrealistic content, captions, a script written with the help of AI, or a clone of your own voice for the voice-over. You label it in YouTube Studio, in the "AI use" setting at the point of upload.

The ad itself runs through Google Ads. According to the policy update of July 2026, an AI label may be added inside the creative, and there is a setting in the system for labelling. Google notes that laws in the European Union, in India and in New York already require some ads containing AI content to be labelled, and that election ads with synthetic content are labelled in the campaign settings.

Our position: decide on the labelling before the ad goes live, not after an automatic label has appeared.

Faces, voices and avatars: what Israeli law prohibits

The Privacy Protection Law states in section 1: "No person shall infringe the privacy of another without his consent". Section 2(6) lists among the forms of infringement "using a person's name, appellation, picture or voice for profit". An ad is use for profit, and therefore:

• No celebrity lookalikes. A character who looks or sounds like a well-known person comes close to using their picture or voice.
• No voice cloning without consent. Not even of a voice artist who has worked with you in the past.
• Employees and customers only with written consent. Put an employee's face into an AI scene only after consent that refers to the ad.

An AI avatar not based on a real person is a legitimate option — a presenter explaining a product, for instance. But it cannot present itself as a satisfied customer or as the clinic's doctor. The Consumer Protection Law prohibits a dealer in section 2 from doing anything "liable to mislead a consumer on any material matter in a transaction". The same principle applies to the product: a scene that shows it larger or shinier than it really is may mislead. We are not lawyers, and in a borderline case it is worth taking advice.

What Simple Web does about it

Simple Web is an AI-first marketing agency from Bnei Brak, certified Meta partners and Google advertising experts, working with 200+ businesses and holding 28 five-star Google reviews. We produce AI videos for business: ads, brand videos, product videos and explainers, with no shoot day. When the client has real material, we blend it with AI scenes. The voice-over is in Hebrew or English, and the editing is done in Premiere Pro and After Effects. The process: brief and script, scene design, video generation, editing and approval.

The video is ready within two weeks of a closed brief and receipt of the materials, with 2 revision rounds, and the rights transfer to you in full on delivery. We handle the labelling according to each platform's rules. We have no fixed price list: the price comes as a quote based on scope, and the cost is significantly lower than a filmed brand video of the same length. Among others, we have produced AI videos for Adam Curtains, Cohen Bitachon, Hadar Mallach, Idan Clear Pools and Moshiko VIP.

Summary

An AI video ad suits you when you need scenes that are hard to film, versions to test, or speed ahead of a promotion. It suits you less when trust is built on real people. The price depends on the number of scenes, the characters, the languages and the versions, and the media budget is separate from it. Meta and Google add AI labels of their own accord, so decide on the labelling in advance. And no lookalikes, no cloned voices and no testimonials from generated characters. Want to check whether an AI ad suits your campaign? Book a free diagnostic call.

Sources

• Meta: Expanding GenAI Transparency for Meta's Ads Products (updated 1 June 2026): when Meta adds an "AI info" label to ads, and the automatic detection of external AI tools
• YouTube Help: Disclosing use of GenAI content: which AI content must be labelled, what is exempt, and how to label it in YouTube Studio
• Google Ads: Updates to AI labeling requirements (July 2026): AI labels inside the creative, the labelling setting and the laws that require it
• Privacy Protection Law (Wikisource): sections 1 and 2(6): using a person's picture or voice for profit
• Consumer Protection Law (Wikisource): section 2: the prohibition on misleading a consumer on a material matter in a transaction