Agent Use Cases

When thinking about how AI Agents can drive value, we like to focus on three key impact areas: Saving Money, Making Money, and Mitigating Risk. AI can streamline processes, optimize budgets, and surface insights that might otherwise be missed. Below are some examples of how AI Agents can help in each area, but the possibilities are endless. If you have a challenge, an opportunity, or just an idea—test it out. Every step forward is progress you can build on.

• Save Money: AI Agents can optimize budgets, cut waste, and help you spend smarter. Examples include:
  • Negative Keyword Management – Identify underperforming or irrelevant search terms and add them to your Negative Keyword list to prevent wasted ad spend.
  • Smart Budgeting – Recommend budget reallocations based on ad spend data to maximize ROI and improve efficiency.
• Make Money: Use AI Agents to surface opportunities for growth and optimize performance. Examples include:
  • High-Impact Campaign Scaling – Identify campaigns that are outperforming expectations and recommend increasing spend to drive even greater results.
  • Media Mix Modeling – Analyze cross-channel performance data to determine which platforms, audiences, or creatives are driving the most success.
• Mitigate Risk: Protect your brand, ensure compliance, and proactively spot issues before they become costly. Examples include:
  • Campaign Monitoring – Track impressions and ad activity to catch campaigns or creatives that have unexpectedly gone dark.
  • Brand Compliance – Flag ad copy that violates brand guidelines before it goes live.
  • Performance Benchmarking – Compare an individual account's performance against industry benchmarks or peer accounts to quickly identify underperformance and course-correct.

These are just a few examples, but AI’s potential is limitless. If you have a pain point, goal, or idea, put an Agent to work on it. Test, refine, and iterate—because every step forward is a step toward smarter, more efficient marketing.