Everyone's tracking AI search visibility. Almost nobody is doing anything about it.

After analysing 500M+ AI conversations, we found the biggest problem isn't understanding AI search — it's acting on it. So we tried something different: we deployed autonomous AI agents to execute the playbook for us.

This talk is the honest account of what happened.

The data that shaped our approach:
- Where AI citations actually come from (it's not where you think)
- The prompts people ask vs. the keywords you're targeting
- The competitive gaps most brands don't know they have

The actions that moved the needle:
- Citation outreach, content refresh, and third-party placements that actually worked
- The fixes that were a waste of time
- How we automated it with AI agents:

Open-source autonomous agents most marketing teams don't know exist yet
- What the agents got right, what they got spectacularly wrong
- The line between human judgement and autonomous execution

Where AI search is heading next:
- From recommendations to transactions - ChatGPT Shopping, Google AI buy buttons, and ads in AI answers

What this means for your strategy right now
You'll leave with data insights, the specific actions worth your time, how to set up autonomous agents using open-source tools, and early intelligence on AI commerce.

No theory. No dashboards. Just what we did and what happened.