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.
We Sent AI Agents to Win AI Search. Here's What Actually Happened.
AEO in action: Running agentic campaigns
AI is rewriting the customer journey, causing a meaningful shift at each stage starting with discovery.
AEO work now spans content, paid media, eCommerce, SEO, and brand, but each team is working in silos.
There’s a missed opportunity: to run AEO as a coordinated practice with a shared, measurable goal.
Agentic Campaigns closes the gap. For agencies and marketing teams running concurrent optimization across dozens of product lines, markets, and teams, this session will cover the operational infrastructure that makes AEO scalable, not as a one-time push but as a sustained, enterprise-wide practice.
From setting the goal to coordinating the tactics that support it, Bluefish will walk through how to apply the well-known workflow of a traditional marketing campaign to agentic marketing.
For agencies, it becomes a repeatable workflow to deliver across every client. Marketers leave with a model they can start running Monday.
Brand visibility on autopilot: Building AI workflows with agents, MCP, and cross-channel data
This session explores how advanced agentic workflows can help marketing and agency teams connect fragmented data inputs into a clearer operating model.
We’ll look at how SEO, social, and AI search data can work together to reveal audience demand, brand perception, competitive gaps, and the opportunities most likely to move the needle.
Based on what SE Ranking has built and tested in-house, this talk will offer a practical model for agency leaders and brand marketers who want to know what data needs to be connected, where automation can reduce manual work, and where human judgment still matters.
You’ll leave with a model for building smarter brand visibility workflows — one that helps teams prioritize faster, act with more confidence, and adapt their services as search, social, and AI discovery continue to converge.
