2026 Agenda

 

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Scaling AI Search Optimization With Proactive AI-powered Agents

Dale Bertrand  (President, Fire&Spark)
Location: Room 205
Date: Wednesday, October 7
Time: 10:45 am - 12:15 pm
Pass Type: All Access, CMWorld 3-Day - Get your pass now!
Session Type: Workshop
Track: Workshops, CMWorld
Vault Recording: Not Recorded
Dale Bertrand
We approached AI search optimization the same way we approached SEO, with time-consuming research and content planning. Then we learned that AI search optimization at scale requires AI. This case study details how we built proactive, AI-powered workflows for AI search. Learn how we use AI to identify trending micro-topics, automate content refreshes, and monitor campaign performance.

Takeaway

  • Build proactive AI agents for AI search to reduce time from signal to action
  • Reduce manual analysis with autonomous content AI agents
  • Create a trigger system for proactive content updates
  • Deploy AI workflows to scale AI search execution
  • Test content with AI before publishing