Crystal Carter explains how brands can prepare for AI search and agents, from training data and entity clarity to llms.txt, MCP, and personalized AI search.
Gianluca Fiorelli and Crystal explore how the information AI systems learn about brands and the importance of keeping it accurate and clear.
Crystal then shares practical ways businesses can start testing agentic tools through existing partners, along with the roles of llms.txt and MCP.
They also discuss personalized search and the evidence brands can provide to show they meet their customers’ needs.
In detail:
- Why SEOs need to pay more attention to agentic search.
- What the new rules of AI search cover.
- How Crystal began investigating brand visibility in AI search.
- Why accurate brand information matters in training data.
- Why clear entity associations matter for AI visibility.
- How small businesses can start testing agentic opportunities now.
- How llms.txt can help AI agents use a website.
- How MCP expands access to brand content for AI agents.
- How brands can support visibility in personalized AI search.


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