Creating ad creatives that actually convert has become harder than ever. Social feeds are crowded, attention spans are shrinking, and users decide whether to engage with an ad in just a few seconds. Meta reports that most users make a stop-or-scroll decision within the first three seconds of seeing an ad. That leaves brands with a very small window to make an impact.
At the same time, platforms now reward creative testing more than ever. A 2024 Nielsen study showed that campaigns running multiple creative variations can see up to 35 percent higher return on ad spend compared to campaigns using limited assets. The challenge is that traditional creative workflows are slow, expensive, and difficult to scale.
AI-powered ad creative tools solve this problem by helping marketers generate more content, faster, without sacrificing quality. These platforms make it easier to test formats, refresh creatives, and adapt messaging across channels. Below are five AI tools marketers are using to create high-converting ad creatives, along with their strengths and limitations.
1. Heyoz
Heyoz is built specifically for performance marketers who need ad creatives that feel native to social platforms. Rather than focusing on cinematic videos or long-form storytelling, it prioritizes formats that consistently convert, such as UGC ads, carousels, and product-focused visuals.
The platform allows teams to turn product images or URLs into short-form videos and static ads that resemble real user content. This matters because TikTok reports that ads designed to look native generate 63 percent higher engagement than traditional polished ads. UGC-style creatives also perform strongly across Meta platforms, with Nielsen data showing up to a 38 percent lift in click-through rates.
Heyoz also supports rapid creative testing. Performance teams often use Heyoz to produce multiple variations quickly, helping reduce ad fatigue and improve learning speed in campaigns.
Pros:
- Strong focus on UGC-style and social-first ad formats
- Helps generate multiple creative variations quickly for testing
- Designed around performance marketing needs, not just visuals
- Works well for ecommerce and paid social campaigns
Cons:
- Less suited for long-form or cinematic video projects
- Not designed for advanced visual effects or film-style editing
2. AdCreative.ai
AdCreative.ai is widely used for generating static ads and display creatives. The platform uses machine learning to suggest layouts, images, and headlines that are more likely to convert, based on past performance data.
Its biggest advantage is speed. Marketers can generate dozens of static ad variations in minutes, which is valuable for A/B testing. Google Ads benchmarks suggest that testing multiple visual variations can improve conversion rates by up to 20 percent, especially in competitive categories.
AdCreative.ai works best for brands that rely heavily on static creatives across Facebook, Instagram, and display networks. However, its video capabilities are more limited compared to video-first tools.
Pros:
- Fast generation of static ad creatives
- Useful for A/B testing banners and image ads
- Data-informed creative suggestions
Cons:
- Limited focus on short-form video
- Less emphasis on UGC-style content
- Best paired with a video-focused tool for full coverage
3. Creatify AI
Creatify AI is designed with ecommerce video ads in mind. It allows marketers to turn product pages into short-form video ads by automatically generating scripts, visuals, and captions.
Short-form video continues to outperform most ad formats. HubSpot’s 2024 marketing report found that short-form video delivers the highest ROI of any content type. Creatify AI takes advantage of this trend by simplifying video ad creation for teams without in-house editors.
The tool is especially useful for brands running high-volume paid social campaigns, where constant creative refresh is required.
Pros:
- Strong focus on short-form video ads
- Easy to turn product pages into video creatives
- Good for ecommerce brands running paid social
Cons:
- Less control over fine creative details
- Limited use outside ecommerce-focused workflows
- Not ideal for static ad needs
4. Pencil
Pencil positions itself as an AI assistant for ad creative optimization rather than just generation. It analyzes previous campaign data, brand assets, and audience signals to suggest creatives tailored to specific goals.
This data-driven approach is valuable for teams with a strong performance history. Pencil reports that brands using predictive creative insights have achieved up to a 30 percent improvement in ROAS.
Pencil works best for mid-to-large teams with existing ad data and structured workflows. It is less about instant generation and more about informed decision-making.
Pros:
- Uses past performance data to guide creative decisions
- Strong for long-term optimization strategies
- Good fit for data-driven teams
Cons:
- Less useful for teams without historical data
- Slower to use for rapid creative experimentation
- Requires more setup than plug-and-play tools
5. Runway
Runway is known for advanced AI video editing and visual generation. While it is not built specifically for ads, many creative teams use it to produce high-quality video assets that can later be adapted for campaigns.
Runway excels in areas like background removal, video effects, and scene manipulation. Wistia reports that visually compelling videos can increase engagement by up to 50 percent, especially in awareness campaigns.
However, Runway is more of a creative production tool than a performance marketing platform. It often requires skilled editors and is less focused on ad-ready formats.
Pros:
- Advanced video editing and visual effects
- High creative flexibility for video assets
- Useful for awareness-stage content
Cons:
- Not optimized for ad testing workflows
- Requires more manual effort and creative skill
- Less focused on performance metrics
Conclusion
High-converting ad creatives are no longer about producing a single perfect ad. Success today depends on speed, variation, and relevance. Platforms reward brands that test frequently, refresh creatives often, and adapt content to how users actually consume media.
The tools covered in this article serve different needs. Heyoz focuses on UGC-style, performance-ready creatives. AdCreative.ai simplifies static ad testing. Creatify AI helps scale short-form ecommerce videos. Pencil brings data intelligence into creative decisions. Runway offers advanced video production for visually ambitious teams.
As competition continues to grow, AI-powered creative tools will become a core part of every marketing stack. Brands that use them strategically will be better equipped to create ads that feel authentic, perform consistently, and drive real business results.
