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AI video generators are tools that turn text prompts or reference images into short video clips, complete with motion and, increasingly, native audio. The question for performance marketers is not which one is the most impressive in a demo, but which one reliably produces ad creative that performs. To answer that, the Admiral Media team ran a hands-on test of three of the most talked about models: Google Veo 3.1, Seedance V1.5, and Grok Imagine. The full breakdown is in the video below, and the verdict was clear: Google Veo 3.1 (4.5 out of 5) is the strongest option for ad creative today, Grok Imagine (3.5) is a fast and capable second, and Seedance V1.5 (2.0) fell short for performance use cases.
Summary: Admiral Media tested Google Veo 3.1, Grok Imagine and Seedance V1.5 for paid ad creative and rated them 4.5, 3.5 and 2.0 out of 5. Veo 3.1 won because it generates audio in the same pass, outputs up to 4K in both 9:16 and 16:9, and can be directed with reference images and scene extension. Grok Imagine is the fast, low-cost pick for social concepts but is capped at 720p, while Seedance V1.5 fell short on prompt adherence and consistency across generations. The best setup is a stack: fast tools to test ideas, Veo 3.1 for the production masters.
The verdict: which AI video tool won?
Google Veo 3.1 won the test with an overall rating of 4.5 out of 5, one point ahead of Grok Imagine (3.5) and 2.5 points ahead of Seedance V1.5 (2.0). It was the strongest of the three on ad-ready output, prompt control, and native audio. The table below summarizes the Admiral Media team’s ratings from this hands-on test. Each tool received one overall rating, judged against the seven criteria in the evaluation framework further down. These scores reflect Admiral Media’s editorial verdict for performance advertising specifically, not a general benchmark, and the reasoning behind each is explained in the video above.
| Tool | Admiral Media rating | Best for | Verdict |
|---|---|---|---|
| Google Veo 3.1 | 4.5 / 5 | Production-grade ad creative with native audio and precise control | Recommended |
| Grok Imagine | 3.5 / 5 | Fast, social-first concepts and rapid iteration | Use with caution |
| Seedance V1.5 | 2.0 / 5 | Limited fit for paid ad use cases in this test | Not recommended for ads |
Why each tool landed where it did:
- Google Veo 3.1, production-grade ad creative: it generates sound effects, ambient noise and dialogue in the same pass as the video, outputs 720p, 1080p or 4K in 9:16 and 16:9, and can be directed with reference images, first and last frames, and scene extension. Those are the controls a team needs to hit a brief repeatedly, not just once.
- Grok Imagine, fast social-first concepts: it produces 720p clips with native audio in under 30 seconds, which suits rapid ideation and quick social tests. The 720p ceiling is what holds it back from premium placements and high-resolution masters.
- Seedance V1.5, limited fit for paid ads: it was weaker than the other two on prompt adherence, consistency across generations, and reliable ad-ready output. Those are the variables that drive cost per usable clip, so a weak score there outweighs good-looking single shots.
Why Google Veo 3.1 came out on top
Google Veo 3.1 won because it pairs high visual fidelity with the control and native audio that ad creative actually needs. Veo 3.1 generates high-fidelity clips at 720p, 1080p, or 4K with natively generated audio, including sound effects, ambient noise, and dialogue, according to Google DeepMind. For performance marketers, native audio matters because sound-on placements on Meta, TikTok, and YouTube convert differently than silent clips, and generating audio in the same pass removes a manual post-production step.
The control features are what separate Veo 3.1 from earlier models. It supports portrait (9:16) and landscape (16:9) output, scene extension that continues an existing clip while preserving the same subject and camera angle, first-and-last-frame generation, and image-based direction using reference images, as documented in Google’s Veo developer documentation. In Admiral Media’s experience producing performance creative, that kind of directability is the difference between a one-off demo clip and a repeatable asset you can adapt across placements and test at volume. The reason is consistency: scene extension keeps the same subject and camera angle when a clip is continued, and reference images hold the look from shot to shot, so a winning concept can be extended and re-cut for 9:16 and 16:9 instead of being regenerated from scratch. Every fresh roll risks losing the subject and adds wasted generations to the cost per usable clip.
Resolution flexibility also matters more than it first appears. Generating at 720p for fast tests and stepping up to 1080p or 4K for masters lets a team control spend without sacrificing quality where it counts. Veo 3.1 also ships in three tiers, a standard model for final production cuts, a faster variant, and a cost-effective Lite version, which gives an agency a practical lever to balance quality against budget at each stage of a campaign. For Admiral Media, that tiering maps cleanly onto a testing workflow: cheaper, faster generations for the wide top of the testing funnel, and the highest-fidelity model reserved for the proven concepts that earn a production master.
Where Grok Imagine fits
Grok Imagine earned a solid middle score as a fast, budget-friendly option for social-first concepts. Grok Imagine generates 720p clips with native audio in under 30 seconds, which makes it well suited to rapid ideation and quick social content. The trade-off is a hard 720p ceiling, which limits its use for premium placements or campaigns that require higher resolution masters. For an agency running high-volume creative testing, Grok Imagine is useful at the top of the funnel where speed and iteration count for more than polish, but it is not a full replacement for a production-grade model.
Why Seedance V1.5 underperformed for ads
Seedance V1.5 received the lowest rating in this test, 2.0 out of 5, which is 2.5 points below Google Veo 3.1 and 1.5 points below Grok Imagine, because its output and control did not meet the bar for paid ad creative. The Admiral Media team found it weaker on the criteria that matter most for performance advertising: prompt adherence, consistency across generations, and reliable ad-ready output. Newer releases in the Seedance family are positioned around cinematic quality, but the V1.5 version tested here did not justify a place in an ad production workflow today. The full reasoning is in the video above.
This is a useful reminder that version matters as much as brand when evaluating AI video tools. Model families iterate quickly, and a name that scores poorly in one release can leapfrog the field in the next. The discipline that protects a marketer is not loyalty to a tool but a repeatable evaluation process, run on current versions, against criteria tied to ad performance rather than demo-reel polish. A model that produces a stunning hero shot but cannot hold a character across a three-clip sequence will cost more in practice than its per-generation price suggests.
The metric that actually matters: cost per usable clip
The most important number in AI video is not the price per generation, it is the cost per clip you would actually run. A model that is cheap per output but misses the brief most of the time can be more expensive than a pricier model that hits the brief on the first or second try, once you account for the wasted generations, the review time, and the rework. Admiral Media evaluates tools on this blended basis, because it reflects the real economics of producing creative at the volume that performance testing demands. Prompt adherence and consistency are not soft, qualitative nice-to-haves: they are the variables that move cost per usable clip, and therefore the variables that decide whether AI video is genuinely cheaper than traditional production for a given campaign.
This is also why a single benchmark score is misleading. The right tool for a fast, disposable top-of-funnel test is rarely the right tool for a flagship master that will carry significant spend. Matching the model to the job, and re-checking that match as new versions ship, is what keeps the economics in your favor.
The Admiral Media AI Video Tool Evaluation Framework
Picking an AI video tool for ads is a different exercise than picking one for art or entertainment. Admiral Media evaluates every model against the same seven criteria, weighted for performance marketing rather than visual spectacle.
- Prompt adherence: Does the model produce what you actually asked for, or do you burn generations chasing a usable result? Low adherence quietly inflates your true cost per usable clip.
- Motion realism: Are movement, physics, and transitions believable, or do artifacts appear that would undermine brand quality in a paid placement?
- Native audio: Can the model generate sound in the same pass? Sound-on placements behave differently, and native audio removes a production step.
- Consistency and character retention: Does the same subject, outfit, and style hold across clips, so a concept can be extended and iterated rather than restarted?
- Resolution and aspect ratios: Does it support 9:16 and 16:9 at a resolution high enough for your placements, including premium inventory?
- Speed and cost per usable clip: Not cost per generation, but cost per clip you would actually run after discarding the misses.
- Brand safety and control: Frame control, reference images, and scene extension that let you direct output to brand guidelines instead of hoping for a good roll.
Scored this way, Veo 3.1 leads on control, audio, and resolution, Grok Imagine wins on speed and cost for early-stage social concepts, and Seedance V1.5 trails on adherence and consistency. The right answer is rarely a single tool. It is a stack matched to where a creative sits in the funnel.
How Admiral Media uses AI video tools in production
The tools are only as valuable as the system around them. Admiral Media runs AI video models inside the AI Creative Factory, where models like Veo 3.1 feed a structured testing pipeline rather than a one-off creative sprint. Concepts move from rapid ideation to production masters, get adapted to each placement, and are tested systematically so the winners scale and the losers retire quickly. This is the same approach behind Admiral Media’s work as an AI video ads agency and AI creative agency.
The strategic point holds regardless of which model is ahead this quarter: AI video tools change the economics of creative production, but they do not change the discipline required to win in paid media. Volume without testing is just noise. Admiral Media pairs generative AI advertising with rigorous creative testing and human review, so the speed of AI is matched by the judgment that keeps brands safe and campaigns profitable. For teams scaling output, our performance creative service turns these tools into a repeatable pipeline.
Choosing who makes your video ads: AI tools, a production house or an agency
The tool test above answers which model to use. The next question most teams face is who should run it, and that depends on how many new videos you need each month and what you need them to prove.
| Option | Fits when | Watch out for |
|---|---|---|
| AI tools run in-house | You have someone who can write briefs, review output and edit, and you need lots of quick concept variations | Review and rework time, which is where cost per usable clip quietly grows |
| Production house | You need a small number of polished hero assets, such as a brand film or a launch master | Fewer variations per budget, which limits how much you can test |
| Performance creative agency | You need a steady flow of new concepts tied to ad results, with testing and reporting in the same team | Agencies that report on installs only, or that cannot show app-specific results |
How to shortlist an app growth agency
If you decide to bring in outside help, these checks separate app specialists from general digital shops:
- Use case: ask for case studies in your category, for example subscription apps or hybrid casual games, with the metrics they moved, not just logos.
- Measurement: ask whether their reporting connects ad spend to trial starts, paid subscribers and lifetime value through your attribution partner, or stops at installs.
- Channels: ask which channels they run today with install-level tracking. If you have saturated Meta and Google and are looking at newer channels, ask to see results from those channels rather than a list of logos.
- Creative volume: ask how many new concepts they can produce and test each month, and how they decide which ones to scale. Falling returns on steady spend can come down to creative fatigue, so this question matters as much as media buying.
- Your own baseline: record your current cost per install, return on ad spend and creative refresh rate before you sign, so you can judge any partner against real numbers.
Budget changes the shortlist too. At a fee of around $5,000 a month, check whether that figure covers the agency fee or the media spend, whether pricing is a retainer or a share of spend, and how much creative production is included. A smaller budget buys fewer test rounds, which is exactly where cheaper AI generation for early concepts helps. Treat ranked “top agency” lists as a starting point only, and check whether they explain how they ranked anyone.
Admiral Media has managed more than EUR 500M in ad spend and grown 150+ brands since it was founded in 2019. Talk to our team if you want to compare notes on your creative pipeline.
Frequently Asked Questions
What is the best AI video generator for ads in 2026?
In Admiral Media’s hands-on test of Google Veo 3.1, Seedance V1.5, and Grok Imagine, Google Veo 3.1 was the strongest option for ad creative, earning a 4.5 out of 5. It combines high resolution, native audio, and precise control features that make it suitable for production-grade performance ads. Grok Imagine is a capable, faster alternative for social-first concepts, while Seedance V1.5 was not recommended for paid ad use in this test.
Does Google Veo 3.1 generate audio?
Yes. According to Google DeepMind, Veo 3.1 generates audio natively, including sound effects, ambient noise, and dialogue, in the same pass as the video. For advertisers, native audio is valuable because sound-on placements on platforms like Meta, TikTok, and YouTube perform differently than silent clips, and generating audio in-model removes a separate production step.
Is Grok Imagine good enough for paid social ads?
Grok Imagine is well suited to fast, social-first content and rapid iteration, generating 720p clips with native audio quickly. Its main limitation for paid use is a 720p resolution ceiling, which restricts premium placements and high-resolution masters. Admiral Media rates it a strong option for top-of-funnel ideation and quick concepts, but not a complete replacement for a production-grade model.
Why did Seedance V1.5 score lower than the others?
In Admiral Media’s test, Seedance V1.5 underperformed on the criteria that matter most for performance advertising: prompt adherence, consistency across generations, and reliable ad-ready output. The version tested did not meet the bar for inclusion in an ad production workflow, which is why it received a 2 out of 5 for ad-creative suitability.
How should a marketer choose between AI video tools?
Evaluate tools for ads differently than tools for art. Admiral Media uses a seven-point framework covering prompt adherence, motion realism, native audio, consistency, resolution and aspect ratios, cost per usable clip, and brand-safe control. The best setup is usually a stack of models matched to funnel stage rather than a single winner, with fast tools for ideation and production-grade models for masters.
Do AI video tools replace a creative agency?
No. AI video tools change the cost and speed of producing creative, but they do not replace the strategy, testing, and judgment that make paid media profitable. Admiral Media uses these models inside a structured creative testing system in the AI Creative Factory, where human review and performance data decide which AI-generated concepts scale. The tool is the input; the system is what drives results.
