Agentic Search & AI Agents: The Next Level of Search

What Is Agentic Search?

Agentic search describes a new form of information retrieval where AI agents autonomously execute complex tasks — from research to comparison to booking. Unlike traditional search queries, the agent interacts autonomously with multiple data sources and systems.

How Do AI Agents Work?

• The user formulates a goal, not a single search query
• The agent decomposes the goal into subtasks
• It researches autonomously across multiple sources
• It compares, evaluates, and prioritizes results
• It executes actions (e.g., booking, ordering, contacting)

Examples of Agentic Search:

• "Find the three best AI SEO agencies in Germany and compare their service profiles"
• "Book the cheapest flight from Bremen to Istanbul next week"
• "Analyze my website performance and suggest improvements"

What Does This Mean for Businesses?

• Websites must be machine-readable (APIs, structured data)
• AI agents prefer clear, standardized information formats
• Prices, availability, and contact data must be machine-readable
• The website becomes an "agent-ready endpoint"

Future Outlook (2025–2028):

• Google Project Mariner: Browser-controlling agents
• OpenAI Operator: Task-oriented agents
• Integration of AI agents into enterprise workflows
• MCP (Model Context Protocol) as standard for agent-to-system communication

In the CAFE framework, we prepare websites for the agent era — so your digital presence is navigable not only for humans but also for autonomous AI systems.