AI‑Powered Dynamic Ads in Bing & Copilot Search

AI‑Powered Dynamic Ads in Bing & Copilot Search

Client

Client

Microsoft

Role

Role

End- End

Text ads like BOP (Bottom of Page), MOP (Middle of Page), and MLTA (Mainline Text Ads) usually sit on search result pages. With generative search, there’s a chance to show them more effectively. The goal was to improve how text ads appear so they feel more useful and drive better results.

Objectives

  • Improve click‑through rates for text ads in generative search.

  • Support revenue growth by making ads feel more relevant and integrated.Reduce how often users needed to visit a branch.

  • Make the app feel trustworthy enough to become their main banking tool.

Scope of Work

Research
Personalization
Context Design
AI-Design

Initial research

I studied Bing’s text‑ad formats, focusing on which placements drove the most revenue and why, based on how users behaved and clicked.

Competitor analysis

I looked at Google Labs and Google SERP to understand how they were evolving text ads in AI and generative search, and where the space is headed.

Competitor analysis

Design

Ads perform better when they’re clear and visual. I designed generative text ads that use dynamic, personalized content to match the user’s intent, making them more relevant and engaging without breaking the search flow.

Results

In the development stage, the SBS UX Labs showed that the ad performed well compared to the control.