Generative AI Marketing
Applying generative AI models to create marketing content, visuals, and campaigns at scale.
Definition
Generative AI marketing encompasses the use of AI systems that create new content—text, images, video, and audio—for marketing purposes. This includes using large language models for copy, diffusion models for visuals, and AI video tools for promotional content.
The field is rapidly evolving, with new capabilities emerging regularly that expand what marketers can produce efficiently.
Why It Matters
Generative AI is transforming marketing economics by dramatically reducing content production costs and timelines. Teams can now produce personalized content variations, test creative concepts rapidly, and scale content programs previously impossible.
Early adopters of generative AI marketing are gaining significant competitive advantages in content velocity, personalization, and experimentation.
Examples in Practice
A brand uses generative AI to create thousands of personalized ad variations, testing at scales previously impossible.
An e-commerce company generates product images with different backgrounds and contexts using AI, reducing photography costs.
A content team produces video ads by combining AI-generated scripts, images, and voiceovers, cutting production time from weeks to days.