Google is strengthening its advertising tools with new AI guidance for Demand Gen campaigns. This gives marketers more ways to improve creative performance across YouTube, Discover, Gmail, and other Google visual surfaces.
The latest update expands the types of video formats advertisers can use in Demand Gen campaigns. It also introduces AI-powered recommendations through Gemini. This helps brands optimize creative assets for YouTube and improve how their ads appear across Google’s ecosystem.
For advertisers, the move highlights Google’s continued push to make artificial intelligence a bigger part of digital advertising workflows. As brands compete for attention across social media-style feeds and video platforms, AI-assisted campaign tools are becoming increasingly important. This is true for creative testing, audience engagement, and performance tracking.
Google Expands Video Format Support for Demand Gen Campaigns
One of the main updates is broader support for video formatting. Google will now allow advertisers to convert video content into more layout options for Demand Gen ads.
The new conversion options include:
- Vertical to square
- Vertical to landscape
- Square to landscape
This gives advertisers more flexibility when adapting content for different placements. For example, a video originally designed for YouTube Shorts can now be adjusted for other placements. This does not require a fully separate creative production process.
The update is especially useful for brands that already produce short-form video content for platforms such as TikTok, Instagram Reels, and YouTube Shorts. With more format options, marketers can extend the value of existing video assets. Moreover, they can use them across more ad placements.
Gemini Will Provide AI Creative Recommendations
Google is also adding AI-powered guidance to Demand Gen campaigns through Gemini. When advertisers select image and video assets, Gemini will provide automated recommendations on how to optimize creative for YouTube.
This feature could help advertisers identify stronger creative combinations, improve video formatting, and better align ads with the viewing experience on YouTube. Instead of relying only on manual testing, marketers will receive AI-driven suggestions. These suggestions can guide campaign setup and creative improvement.
For smaller businesses and lean marketing teams, this may reduce the time needed to prepare campaign assets. For larger advertisers, it adds another layer of automated creative support that can help scale campaign production.
New Insights Track Customer Acquisition Paths
Google is also adding more response insights to Demand Gen campaigns. These insights include data on whether new business is coming through app installs. This gives advertisers a clearer view of how users move from ad exposure to engagement.
This is important because many customer journeys now involve several touchpoints. For instance, a person may see an ad on YouTube and interact with a brand through Discover. Then, they install an app, and later make a purchase. Better reporting can help advertisers understand which channels and creative assets are driving real business outcomes.
With these new insights, brands can make smarter decisions about where to invest budget, which creative formats to prioritize, and how to improve customer acquisition strategies.
Display Campaigns Are Moving Into Demand Gen
Google also reminded advertisers that display ad campaigns are being moved into Demand Gen. Eligible advertisers can begin voluntarily moving existing campaigns. Meanwhile, new campaigns will be created within the Demand Gen flow later this year.
This shift shows how Google is consolidating more visual advertising tools under Demand Gen. The platform is designed to help advertisers reach people across Google’s most visual and entertainment-focused surfaces. These include YouTube, YouTube Shorts, Discover, Gmail, and the Google Display Network.
As this transition continues, advertisers may need to review their existing display strategies. Additionally, they should prepare creative assets that work well across multiple visual formats.
Why This Matters for Social Media Advertisers
Google’s Demand Gen updates are important because they move Google Ads closer to the style of social media advertising. Demand Gen campaigns focus heavily on visual content, audience engagement, short-form video, and discovery-driven placements.
For social media marketers, this creates new opportunities to reuse high-performing creative assets from platforms like Instagram, TikTok, and YouTube Shorts. Instead of building separate campaigns for every channel, advertisers can adapt existing content for Google’s visual ad network. They can do this with AI assistance.
The addition of Gemini-powered recommendations also reflects a larger industry trend. AI is no longer just being used to generate content. It is now helping advertisers decide how to format, optimize, and distribute content more effectively.
AI Becomes Central to Ad Campaign Optimization
Google has already introduced several AI tools for Demand Gen campaigns. These include creative enhancements, video generation features, image optimization, text suggestions, and asset improvements. The latest Gemini guidance builds on that foundation. It gives advertisers more direct support during campaign creation.
This could make campaign management more efficient, but it also places more responsibility on marketers to review AI-generated recommendations carefully. AI can speed up creative decisions, but advertisers still need to ensure that messaging, branding, targeting, and compliance remain accurate.
The best results will likely come from combining human strategy with AI-powered execution. Marketers can use AI to improve asset production and testing, while still applying brand judgment and audience insight.
What Advertisers Should Do Next
Advertisers using Google Demand Gen campaigns should review their current video assets and identify which formats can be adapted for new placements. Brands should also monitor Gemini’s creative recommendations. Furthermore, they should test whether AI-guided changes improve campaign performance.
Marketing teams should also prepare for the continued transition of display campaigns into Demand Gen. This means creating flexible visual assets, testing short-form video, and tracking customer acquisition data more closely.
As Google continues to expand AI across its advertising products, Demand Gen campaigns are becoming a more important tool. This matters for brands that want to reach customers through visual, discovery-based content.
Conclusion
Google’s new AI guidance for Demand Gen campaigns gives advertisers more creative flexibility, stronger optimization support, and deeper customer acquisition insights. With expanded video format options and Gemini-powered recommendations, brands can better adapt content for YouTube. In addition, they can use other Google visual surfaces.
For social media marketers, the update signals a continued blending of search, display, video, and social-style advertising. As AI becomes more embedded in campaign planning, advertisers that can combine strong creative strategy with smart automation will be better positioned to drive results.