6 min read
|
Saved February 14, 2026
|
Copied!
Do you care about this?
This article explores how brands use AI to enhance marketing efforts, from generating engaging product images to creating video content. It highlights real-world examples where AI helped solve specific challenges, streamline processes, and improve customer engagement while emphasizing the need for human oversight in creative decisions.
If you do, here's more
AI is reshaping marketing by streamlining tasks rather than replacing human insight. A case study from a $100 denim dog harness brand illustrates this well. The brand faced low ad engagement because product photos hid dogs' faces. By using ChatGPT and DALL-E, the marketing team created images showcasing both the harness and the dogsโ faces. They also analyzed Amazon reviews to identify customer priorities, leading to a redesign of the product itself after discovering that the AI-generated images outperformed the actual product. This resulted in doubled daily orders and revenue.
Allied Global Marketing faced a challenge with the launch of NERF Action Xperience, needing visuals before the facility was even built. They turned to DALL-E to create illustrations of teens with NERF blasters, working through numerous iterations and edits to meet deadlines. This approach highlights AI's ability to generate content quickly, although it requires human input for refinement. Similarly, AGORA combined AI-generated backgrounds with professional product photography to create high-end visuals, emphasizing that AI is best for backgrounds, not actual product shots.
For content creation, Ahrefs and other organizations utilize AI to streamline research and writing. Tools like NotebookLM help process large datasets quickly, while AI assistants handle formatting and basic tasks. For example, Gael Breton cut newsletter production time in half by using AI to polish and format his notes while he focused on original insights. Eric Siu leveraged AI for brainstorming video concepts, which sped up the creative process significantly. In both cases, humans remained central to creative decisions, using AI for repetitive tasks.
Questions about this article
No questions yet.