Google Gemini Omni has changed how advertisers produce video campaigns in 2026. Integrated into Google Ads Asset Studio, the multimodal AI model can turn product photographs, marketing briefs, brand guidelines and existing creative materials into complete video advertisements. Rather than producing each scene separately, marketers can develop a storyboard, adjust individual shots and prepare videos for different Google and YouTube placements within one workflow. The main advantage is not simply faster production. Gemini Omni can interpret a company’s visual identity, including its colours, typography, logos and preferred creative style, helping advertisers produce more video variations without sacrificing brand consistency.
Gemini Omni became part of Google’s expanded advertising creative tools in 2026, following the introduction of new AI capabilities announced at Google Marketing Live in May. Its integration with Asset Studio brings text, image and video creation into a coordinated production process. Marketers can provide a website URL, describe their campaign objectives and upload existing materials rather than starting with a blank screen. The system uses these references to develop advertising concepts that reflect the products, audience and identity of the business. This approach is particularly useful for companies that need regular video content but cannot organise a separate filming project for every campaign.
Unlike conventional video editors, Gemini Omni interprets different types of information together. A product photograph establishes what an item should look like, a marketing brief explains what the advertisement needs to communicate, and brand guidelines define how the finished material should appear. The model combines these inputs when preparing visual scenes and advertising narratives. For example, a cosmetics retailer could provide photographs of a skincare product, its packaging design and examples of previous advertising. Gemini Omni can then suggest scenes featuring the product in an appropriate setting while following the supplied visual references. However, generated packaging, labels and other product details still require verification before publication.
Asset Studio supports two main approaches to AI-assisted creative production: standalone video creation and multi-asset projects. The first focuses on producing a single narrative advertisement, while the second generates several related creative concepts, including images, headlines, descriptions and video storyboards. According to Google’s 2026 documentation, a multi-asset project can produce three narrative video concepts, from which the advertiser selects one for further development. This makes it possible to compare different creative directions before committing to a finished video. The technology is available within Google Ads, although access to individual functions may depend on account eligibility and the ongoing rollout of new features.
Brand consistency begins with the reference materials supplied to Asset Studio. Google recommends uploading current brand guidelines that specify approved logos, colour codes, fonts, visual patterns and examples of successful advertisements. Gemini Omni uses this information to interpret the intended appearance of new content. A brand that normally uses muted backgrounds, minimal typography and carefully controlled product lighting can communicate these preferences through its guidelines and reference images. The model then uses that context when proposing scenes. For stronger results, advertisers should provide several authentic product photographs from different angles rather than relying on a single image or a general description.
Consistency also matters between individual shots. A product should not suddenly change colour, shape or packaging when the advertisement moves from one scene to another. Gemini Omni is designed to maintain contextual relationships between scenes, including lighting, visual tone and product presentation. Nevertheless, AI-generated continuity is not guaranteed. A human reviewer should compare the opening, middle and closing shots, paying particular attention to logos, labels, materials and physical product features. These details can be difficult for generative systems to reproduce perfectly, especially when packaging contains small text or distinctive patterns. An attractive video is not necessarily an accurate representation of the advertised product.
Visual identity extends beyond a colour palette. The rhythm of an advertisement, its language, music, voice-over and treatment of people all contribute to brand recognition. A premium furniture company might favour measured camera movements and understated narration, whereas a sportswear business may use quicker transitions and more energetic scenes. These preferences should be stated in the creative brief rather than left entirely to the model. Google also supports scene-level adjustments, allowing advertisers to refine individual sections without completely rebuilding the video. This combination of brand references and editorial control makes Gemini Omni more suitable for repeatable advertising production than an isolated text-to-video prompt.
The creation process begins inside Google Ads. Open the Tools menu, navigate to Asset Studio and locate the video creation options. Google’s documented standalone workflow uses the Create a narrative driven video function, where advertisers select Create Videos and provide an initial creative source. This may be a landing page URL or an existing ad group. Additional images and written instructions can help define the campaign more accurately. Before generating anything, check that the landing page contains current product information, correct prices and imagery that matches the intended advertisement. An outdated landing page can introduce inconsistencies into the generated creative brief.
Next, prepare a concise description of the advertisement. It should identify the product, target audience, principal selling point, intended mood and desired viewer action. Consider a British coffee brand promoting a reusable travel cup. A useful prompt might request a 20-second advertisement showing a commuter filling the cup, carrying it onto a train and using it at work, with natural daylight, warm neutral colours and a final invitation to view the product range. This provides a clearer creative direction than simply requesting a modern advertisement for a coffee cup. Including the actual product photographs and approved branding gives the model additional references for its visual decisions.
Once the source materials are submitted, Asset Studio generates a creative brief that can be reviewed and edited. The advertiser then proceeds to the narrative stage, where different storytelling concepts are presented. After selecting a suitable narrative, the storyboard provides an opportunity to inspect the advertisement scene by scene. Individual images, scene instructions and voice-over scripts can be modified before the complete video is generated. The final review stage allows the advertiser to preview the result and select an upload destination, such as a linked YouTube channel or a video ad storage channel. After uploading, the video can be added to a new or existing Google Ads campaign.
Effective prompts describe visible actions rather than relying on vague qualities such as impressive, professional or engaging. For example, an instruction to show a stainless-steel travel cup on a wooden kitchen counter, with morning sunlight entering from the left and the camera moving slowly towards the product, gives the model several concrete visual references. The prompt can also specify what should remain unchanged: the product colour, logo position, packaging and background palette. Where accurate product representation is essential, real photographs should remain the primary reference. It is also helpful to distinguish between mandatory branding requirements and creative details that the model may interpret more freely.
Storyboard editing is especially important when the initial output does not communicate the intended message. If a scene places the product too far from the camera, the advertiser can request a closer shot. If the background distracts from the item, it can be replaced with a simpler setting. Voice-over scripts can be shortened, rewritten in a more appropriate tone or adjusted to fit the sequence. Changes should be made with the complete advertisement in mind. Editing one scene to include dramatic lighting, for instance, may create an awkward transition from neighbouring shots. Review the video from beginning to end after significant adjustments to ensure that the story still feels coherent.
Advertisers should also consider where the video will appear before approving its composition. Gemini Omni supports horizontal 16:9, vertical 9:16 and square 1:1 variations, making it possible to prepare creative for different Google and YouTube placements. A horizontal video may accommodate a product demonstration and wider background, while a vertical version generally needs its main subject closer to the centre of the frame. Simply changing the aspect ratio is not always sufficient. Important text may become difficult to read, a product may appear too small, or the final call to action may lose prominence. Each version should therefore be checked separately, including on a mobile screen.

AI-generated video still requires the same advertising checks as traditionally produced material. Before publication, confirm that product claims are accurate, prices and promotional conditions are current, and the content meets applicable advertising rules. Google Ads policies continue to apply to assets created with Gemini Omni. A generated scene must not suggest features, results or endorsements that the business cannot substantiate. Special attention is necessary for regulated products and services, where misleading imagery or unsupported claims may create compliance problems. Advertisers should also review any recognisable people, branded objects or third-party materials to ensure that their intended use is appropriate.
Google has confirmed that Gemini Omni’s advertising video workflow incorporates SynthID watermarking, which embeds an imperceptible signal into AI-generated content. This helps support identification of synthetic material, but it does not establish that every statement or image in a video is accurate. Nor does it replace brand approval, copyright checks or advertising policy review. Businesses should maintain a clear internal approval process, particularly when multiple employees or agencies produce advertisements from the same brand materials. Keeping an approved set of logos, product images and creative guidelines can reduce unnecessary revisions and make it easier to recognise inconsistencies before advertisements reach customers.
The commercial value of Gemini Omni depends on how the generated assets perform, not on the number of videos produced. Google has introduced simplified creative testing capabilities, including one-click A/B testing, to help advertisers compare different assets. For a useful experiment, two versions should have a clearly defined difference, such as the opening scene, product presentation or call to action. Running several unrelated changes simultaneously makes it harder to understand what influenced the result. Advertisers should evaluate performance against the campaign’s actual objective, whether that is increasing qualified website visits, generating leads or encouraging purchases. A video that attracts attention but produces little meaningful action may need a different message rather than more elaborate visuals.
One practical application of Gemini Omni is adapting a successful advertising concept for several audiences or product categories. A retailer could maintain a consistent visual structure while changing the featured products, seasonal backgrounds and final messages. A travel company might create separate videos for city breaks, coastal holidays and family packages, using the same typography, logo treatment and editorial tone. This method reduces the need to develop every advertisement from scratch. However, each variation still needs a meaningful reason to exist. Changing only the background colour or rearranging scenes rarely creates a stronger message if the underlying offer does not appeal to the intended audience.
It is worth establishing a repeatable review process before increasing production volume. First, confirm that the generated concept reflects the campaign brief. Then compare the video against the brand guidelines and original product materials. Check the voice-over, subtitles, visual continuity and final call to action. Finally, preview the approved versions in their intended aspect ratios. For teams producing frequent campaigns, recording common generation errors and successful prompt instructions can improve future results. Google’s documentation also states that generated multi-asset projects are retained in project history for 55 days, so businesses should save important finished assets and reference materials rather than treating that history as permanent storage.
Gemini Omni offers a practical way to produce more advertising variations while preserving a recognisable brand identity. Its greatest strength lies in connecting existing marketing materials with video generation, storyboard editing and campaign preparation inside Google Ads. It does not remove the need for creative judgement, accurate product information or performance analysis. Companies that provide detailed visual references, write precise briefs and inspect the finished advertisements are better positioned to benefit from the technology. In 2026, the most useful approach is to treat Gemini Omni as part of an established advertising workflow: automate repetitive production tasks, retain human control over the brand and judge each video by the results it delivers.