Silverpush, the contextual intelligence company, today (20th August, 2025) has announced new AI-powered enhancements to the company’s proprietary contextual intelligence platform, Mirrors, allowing brands and advertisers to maximise performance and streamline, automate, and optimise contextual campaigns across YouTube, social, and programmatic.
These enhancements introduce a multi-agent AI framework in which multiple AI agents work together like a team, with each agent focused on a key part of the campaign journey. Here’s how the new system works:
- One AI agent manages automated campaign setup, turning a brand’s brief into a contextual media plan ready to activate across platforms like YouTube, CTV, TikTok, Meta, and programmatic channels.
- A second agent ensures ads are delivered in brand-safe and contextually relevant environments.
- A third agent actively optimises campaigns in real time, adjusting targeting and placements to improve metrics such as engagement, viewability, and conversions.
- A fourth continuously analyzes performance data to generate deeper insights and actionable recommendations.
These agents don’t operate in silos: the agents communicate and learn from one another. For example, if the system identifies that a certain contextual signal (such as a specific podcast, influencer, tutorial, or video category) is performing exceptionally well, the AI agents will automatically shift more investment to the winning context across all active platforms.
This innovation is founded on Silverpush’s client-first AI philosophy, which focuses not only on improving internal efficiency, but about delivering real, measurable impact for advertisers.
“This is more than an upgrade, it’s a shift in how advertising will be run in the future,” said Hitesh Chawla, chief executive officer at Silverpush. “By having multiple AI agents work in sync, we’re building campaigns that can improve on their own, while delivering smarter insights & better outcomes for our clients.”
With the new upgrade, advertisers benefit from:
- Multi-platform campaign automation
- Continuous performance optimisation
- Deeper context-level insights for smarter decisions
This multi-agent framework marks a major step toward intelligent, outcome-driven advertising, where AI doesn’t just support the process but actively leads it.
