# AI Agent

> An AI agent is an AI system that takes actions to reach a goal, not just answers a question. Where a chatbot replies, an agent plans steps, uses tools (search, code, APIs, a browser), and works through a multi-step task on your behalf. Coding assistants, deep-research modes, and computer-use tools are common examples.

- Updated: 2026-06-23
- Canonical: https://geotoolbox.ai/glossary/ai-agent

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The shift from chatbot to agent is the shift from "tell me" to "do it." An agent given a goal will fan out across sources, call tools, and chain several steps together, which is why ["agentic AI"](https://geotoolbox.ai/blog/agentic-ai) is the phrase of the moment and why a deep-research run can read dozens of pages before writing a word. Google's Gemini Spark, announced at I/O 2026, is one example: an agent built to take connected actions across your apps.

For publishers, agents raise the bar on how machine-usable your site is. An agent comparing products or booking a service needs clean structure, readable content, and reachable pages, the same foundations behind being cited in AI answers. A site that is hard for a person to navigate is harder still for an agent, which is the case for building an [agent-ready website](https://geotoolbox.ai/blog/agent-ready-website).