AI Agent

What Is an AI Agent?

AI agents are changing the way marketing, content creation, and data analysis are conducted. Unlike simple chatbots, they can independently research, analyze data, and execute multi-step tasks — from keyword research to automated reporting. For your online strategy, it is important to understand how AI agents gather information, as they increasingly act as intermediaries between users and web content.

An AI agent is an AI system that goes beyond pure text generation and can independently plan, execute, and correct tasks as needed. Unlike a simple chatbot that responds to individual questions, an AI agent can carry out multi-step processes: research information, call tools and APIs, evaluate results, and work iteratively toward a solution. Well-known examples are OpenAI’s Operator, Google’s Gemini with function calls, and Anthropic’s Claude with tool use.

The architecture of an AI agent typically consists of three components: a large language model as the “brain” for planning and decision-making, a set of tools the agent can call — such as web search, code execution, or database queries — and a working memory that stores progress across multiple steps. The connection to the agentic web lies in the fact that AI agents increasingly act autonomously on the internet: they search for information, compare offers, and execute transactions.

For GEO, AI agents fundamentally change the rules. When an agent visits your website on behalf of a user, it evaluates the content not visually but mechanically — structure, accessibility, and machine-readable information become decisive. Ensure your content has clean HTML, schema markup, and a clear URL structure. Websites that are well-navigable for AI agents and trustworthy in content will be preferentially recommended in the agentic future of the web.