Creating Useful Ad Variations With Gemini Omni in Google Ads

AI generated content

Sources reviewed September 15, 2026

Use Gemini Omni video creation to explore a clear creative hypothesis. Decide which customer concern an ad should address, then build variations that test different ways of answering it. Producing more files only becomes useful when the team can explain what each version is intended to teach them.

The Google Ads update

Google's August 2026 announcements describe Gemini Omni video generation and editing in Asset Studio. Google also announced general availability of multimodal video creation, including a workflow for storyboards and horizontal and vertical assets. These capabilities bring more production work into the advertising environment. Google's Omni announcement and August Demand Gen update.

Begin with a creative question

Imagine a fictional luggage brand deciding how to promote a carry-on suitcase. It could test whether customers respond more strongly to packing capacity or ease of movement. Those are different propositions. Merely changing background colors would answer a much narrower question.

For each proposition, write a brief that identifies the intended audience, the customer concern, and the action the ad should encourage. Add the product facts that may be shown and the claims that require approval. Use real specifications as the reference for the creative team.

Keep a record of which approved images or footage were supplied. This gives reviewers a basis for checking whether a generated scene has changed the product or implied a feature it does not have.

Make the differences between versions deliberate

A useful first comparison might hold the offer constant while changing the opening scene. A later comparison could examine two explanations of the same benefit. Decide the question in advance so the results can guide the next brief.

Name assets in a way that records their proposition and version. For example, a simple naming convention could identify the product, benefit, opening scene, and format. The purpose is to connect performance data to an understandable creative choice.

Avoid judging the process by the number of exported videos. Track how many versions pass review and are actually useful for a campaign. Rework time belongs in the production assessment alongside generation time.

Review the ad as a customer would see it

Watch the full video at the size and orientation in which someone is likely to encounter it. Check whether the opening communicates the product clearly and whether captions remain readable. Review the ending long enough to notice whether the proposed next step is understandable.

Inspect product details frame by frame where necessary. Look for altered logos, inconsistent proportions, invented accessories, or demonstrations that imply unsupported performance. Review spoken words and on-screen text together so one does not contradict the other.

Then open the landing page. The offer, product variant, and conditions should match the ad. If a customer follows the message and encounters a different promise, the creative review is incomplete.

Questions about testing AI video

How should teams decide which version wins

Use the campaign objective and compare results under conditions that make sense for the test. Attention measures can help explain performance, but qualified enquiries or completed purchases may matter more to the business. Record both the result and the limitations of the comparison.

What should a first production brief include

Write the audience, one customer concern, the supported product facts, the offer, and the intended action. Add the specific difference between the versions you plan to compare. That brief gives production and media teams a shared reason for making each asset.