Product launches typically require a host of marketing activities from social posts to email graphics and website banners to ads. Relying on one visual for a campaign is not unusual, but using multiple assets can be challenging in trying to maintain a consistent brand identity. 

To ensure a campaign’s content and each asset is coherent, marketing teams increasingly use tools such as Google Nano Banana series, with Nano Banana 3, Google’s upcoming AI image model, set to take marketing campaigns to new levels. Rather than redeveloping designs from the ground up, Google Nano Banana allows teams to create and edit visuals through text prompts and reference images, therefore making it easier to create different assets with consistent visuals across a campaign.

Based on Gemini 3.1 Flash Image, Nano Banana brings together a selection of other AI image and video models into a single workspace, allowing users to discover the best model for each task without needing to switch platforms. 

How AI image tools are changing campaign production

AI image tools, such as Nano Banana 3, can help maintain consistent subjects and characters across different variations and multi-image compositions, while generating legible text within images for ads and social media.

Nano Banana can adapt visuals to various platform formats without losing the balance of the original composition. It also combines multiple reference files and blends different elements into a single output over several rounds so marketing teams can produce a range of campaign assets from a single set of references, while preserving crucial visual elements. 

Users can also find new ideas via the platform’s inspiration feed and trend discovery feature. This allows designers to “see what others are creating with Nano Banana 3, from trending looks to creative photo transformations.” 

Nano Banana is designed to follow detailed instructions, maintain consistency during the editing stage, and render text within images accurately, offering greater control and reliability than earlier AI image-generation tools.

Google is bringing AI image editing into the wider workflow

Google is increasing its investments into AI-powered image creation, not only with Nano Banana 3 but also with Google Pics. Built on its Nano Banana image generation and editing technology, Pics allows users to create visuals via text prompts before making more intricate changes to individual elements and text. Pics can also crop images for different formats and upscale them to 2K or 4K.

This technology is bringing image creation and editing closer to the tools marketing teams already use. Google says users can edit images directly within Google Docs and Slides, as well as collaborate on designs and access images through Google Drive. Like Nano Banana, this reduces the need to move between numerous applications during the creative process. 

Rather than simply producing an image from a prompt, these latest AI image generation tools are increasingly being used to create, edit, and improve assets throughout campaign production. 

The potential use cases extend across product marketing, ecommerce, social media, advertising, and brand design, particularly where teams need to create multiple versions of the same campaign creative.

Streamlining campaign production with AI

A marketing campaign generally travels across multiple formats for advertising, email, websites,and social media. Each asset typically requires updates while keeping creative assets on-brand. Traditionally, this has proved challenging when using several AI tools. 

Using just one platform helps keep the workflow in a unified place, so teams can generate images, refine designs, and work on further AI models without transferring files across multiple platforms. Such flexibility is important when campaigns need a series of creative strategies but with the same visuals. 

By keeping product photos, prompts, and brand references in the same project, campaign continuity becomes easier. For instance, teams can generate additional social media assets and banners without rebuilding workflows every time. When publishing content frequently, this can cut the need for repetitive production tasks, freeing up teams to focus on new developments and improvements for campaign performances. 

AI is therefore changing more than how marketing teams create individual assets. By automating repetitive production tasks and making it easier to adapt designs for different channels, these tools could help marketers produce campaigns more quickly while giving teams more time to focus on strategy and creative development. 

Experts at DMWF’s upcoming events will be exploring the latest developments in digital marketing, including how emerging AI technologies are changing campaign strategies and performance.

See also: AI agents are changing commerce – now measurement must catch up – Marketing Tech News 

Marketing Tech News, powered by DMWF Ltd, delivers the latest marketing technology news, insights and industry updates.