BrightonSEO

Agentic Search

From search to AI agents: How to succeed in the agentic web using schema markup and knowledge graphs

San Diego, September 2026

Brands are racing to gain visibility in AI overviews and chat-based search, but the shift to agentic web changes the rules entirely.

Your brand is no longer defined by what you publish, but by what machines can understand, trust, and act on.

In this session, Martha van Berkel will break down how AI systems interpret web content and how to evolve your approach beyond traditional schema markup for an AI-first ecosystem.

You’ll learn how leading organizations govern content knowledge graphs that improve AI visibility, reduce hallucinations, and give them control over how their brand is represented

Martha will share real-world results and a practical framework you can apply to evolve your schema markup strategy, so you can drive visibility today while preparing your content for AI agents and the next generation of discovery.

Attendees will learn:
- How AI systems interpret web content, and how to get more from your schema markup
- How to implement advanced Schema Markup to build a clear, governed knowledge graph
- Proven approaches to improving AI visibility and reducing hallucinations
- A practical framework for evolving your schema strategy to support AI-first search and emerging agent frameworks like NLWeb and Web MCP

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We Sent AI Agents to Win AI Search. Here's What Actually Happened.

Brighton, Spring 2026

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.

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