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AI UGC ads, without
booking a creator

A UGC ad is one person talking to a phone camera about a product. Aitachyon builds that shape without the shoot: paste your URL, pick a hook, cast an AI presenter and a voice, and pull a captioned 9:16 cut you can put spend behind the same afternoon.

From $29 a month. 14-day money-back guarantee.

We make our own marketing with it.

Every clip below came out of this pipeline. AI actor, AI voice, AI lip-sync, captions. No camera, no crew, no filming. Tap one to hear it.

made end to end by this pipeline · the faces are not real people

What an AI UGC ad actually is

Strip the label off and a UGC video ad is five parts in a fixed order. AI does not change the parts. It changes how many times you can afford to rebuild them.

A presenter

A face talking to the camera. Pick a preset actor, generate a brand ambassador, describe a custom persona, or scan yourself into a reusable twin. The generated ones are not real people, and you should say so.

A hook

The first line, and the reason the ad lives or dies. It has to start mid-thought, name a pain the viewer already has, and skip the greeting entirely.

A script

Fifteen to thirty seconds of spoken content, roughly 40 to 80 words. One claim, one number, contractions, and a soft close. Ad-copy grammar is what gets it clocked as an ad.

Captions

Burned into the pixels, big, one or two lines, revealed word by word. Most of the feed autoplays on mute, so the script has to read silently.

A 9:16 frame

Full-screen portrait for TikTok, Reels and Shorts, 4:5 or 1:1 where the placement asks for it. A letterboxed 16:9 cut in a vertical feed looks reposted.

What it is not: a polished brand film in a vertical frame. If the first frame is a logo, the framing is dead-center and the voice never breathes, the feed reads it as an ad and skips. The long version of that argument is in how to make AI UGC ads look like real user content.

How to make an AI UGC ad

Four steps, each one waiting for your approval. You are judging hooks and presenters, not aligning tracks in a timeline.

01

Paste your URL or one line

Aitachyon reads your site and pulls out your palette, tone and what you actually sell. That becomes the brand kit every later step draws from, so you are not briefing a blank tool.

02

Pick a hook from three scripts

Script Studio returns three distinct scripts per run, each with its own hook, angle and CTA. You read them and choose. Run it again for five more cold opens against the same body.

03

Cast a presenter and a voice

Choose an AI presenter, then a voice from the library or one you cloned from a sample. The chosen script drives the voiceover, and the footage is lip-synced to it.

04

Caption, size, download

Captions are burned in, the cut is rendered at 9:16, 1:1 or 16:9, and you pull an MP4. No watermark, no outro card, nothing to crop before you upload it.

Stuck on the writing rather than the rendering? Six fill-in UGC ad script formulas give you the skeletons, and Export handles the captions and the sizes at the end.

AI UGC vs hiring a creator

This is not a case for firing your creators. It is a case about where each one is cheap. Human UGC production buys depth. AI UGC buys the number of attempts you get before you commit.

Booking a UGC creator

  • A per-video rate plus usage rights, agreed before anyone knows which hook works
  • Days to weeks: brief, shortlist, contract, ship the product, wait for a first cut
  • A reshoot means a new brief, and usually a new invoice
  • One take per creator per day, so five hooks means five bookings

What a human still does better

  • A real audience that already trusts the face
  • Real hands on a real physical product
  • Lived-in stories and claims that depend on who is saying them
  • No disclosure question to answer

AI UGC in Aitachyon

  • Credits from the plan you already pay for, around 40 for a short clip
  • Minutes per cut, so a batch of hooks goes live the same afternoon
  • Change one line and re-render, as many times as the test needs
  • Five to eight cold opens against a fixed body, judged on hold rate

Where it runs out

  • No audience of its own, and no track record behind the face
  • A generated presenter cannot hold your physical product
  • Disclosure is on you, and the labelling rules keep moving

The order that works: find the hook with volume, then spend on depth. Once you know which message earns the hold, paying a real creator to deliver it is a much smaller bet than paying one to guess.

Ad policy and disclosure

AI-generated content is broadly allowed on TikTok and Meta, and both run labelling controls for it. Realistic synthetic depictions of people are the case they care about most, so label the ad where the placement asks for it, keep the claims in your script to things you can support, and check the current policy for your region before you scale spend. The rules move faster than any landing page, including this one.

The other half of approval is the creative itself. What usually gets a video ad rejected, and how to fix it before you submit, is written up in getting video ads through policy review. For the layout side, the free safe zone checker shows whether your captions and CTA sit clear of the platform UI.

AI UGC ad questions, straight answers

AI UGC ads are creator-style video ads generated instead of filmed. They copy the shape of user-generated content: one person talking to a phone camera, a cold-open hook, a short spoken script, burned-in captions and a 9:16 frame. The difference is that the presenter is an AI avatar and the voice is synthetic, so the whole cut is produced from a script rather than a shoot. People also call this synthetic UGC.

Four steps. Paste your website URL so the tool learns your brand, generate scripts and pick the hook you want to test, cast an AI presenter and a voice, then render the cut with burned-in captions at 9:16. In Aitachyon each of those steps waits for your approval, so nothing gets exported that you did not read first. The whole loop takes minutes, which is what makes testing five hooks realistic.

They are good at different things. AI UGC wins on volume and iteration speed: many hooks and angles for the cost of credits, with no booking, shipping or reshoot fee. A human creator wins where authenticity is the product, because they bring an audience, real hands on a real product and credibility a synthetic presenter cannot claim. The practical split is to use AI UGC to find the message that moves your numbers, then decide whether the winner deserves a real creator behind it.

AI-generated content is broadly allowed on both platforms, but disclosure and labelling rules apply and they keep tightening. Both TikTok and Meta have AI-content labelling controls and expect realistic synthetic depictions of people to be marked. Use the label when your placement asks for it, keep the claims in your script to things you can actually support, and check the current policy for your region before you scale spend behind a batch.

The honest answer is that the script decides far more than the rendering does. An AI cut of a weak hook loses money exactly as fast as a filmed one. What AI UGC changes is how many hooks you can put in front of a cold audience for the same budget, which is the part most small teams cannot afford to do manually. Judge a batch on three-second hold rate first, then on cost per result, and keep the body fixed while you vary the opener so you know which change moved the number.

A short clip renders in minutes rather than days, and you can queue a batch of hook variants in one sitting. Starter is 29 dollars a month for 500 credits, which is around 8 short avatar videos, or 125 images, or any mix, because a short avatar clip runs about 56 credits and the cheap outputs stay cheap. Every model cost is included, there is no per-seat billing, and there is a 14-day money-back guarantee.

Read the pipeline in detail: Script Studio and Export. Or start from the homepage.