Glossaire · GEO

Agentic AI

Agentic AI refers to a paradigm of artificial intelligence that does not merely produce content, but acts: it plans a sequence of steps, executes actions through tools, observes the result and adjusts its trajectory in a loop until it reaches a goal. This "agentic" property is contrasted with classic generative AI, which answers or writes but undertakes nothing on its own. An agentic system breaks a complex request into subtasks, decides on its own the order of operations, calls APIs, browses the web or reads files, then loops until the expected result is reached. It is the engine behind autonomous assistants such as ChatGPT in agent mode, Claude with computer use, or Perplexity. In France, "agentic AI" is one of the fastest-growing search terms according to Google Trends. For brand visibility, this shift from AI that answers to AI that acts turns agents into the new decision-makers that read, compare and recommend your content.

Agentic AI marks the shift from artificial intelligence that produces to artificial intelligence that acts. The word "agentic" designates a property: the ability of a system to pursue a goal autonomously, chaining decisions and actions rather than limiting itself to generating a one-off answer.

Generative or agentic: two paradigms

Generative AI excels at producing content — a paragraph, an image, a snippet of code — from an instruction. It stays passive: it waits, answers, then stops. Agentic AI, by contrast, receives a goal and takes the initiative. It often uses a generative model as its reasoning engine, but adds a decision loop that makes it plan, act and correct. Generative AI writes an email; agentic AI decides it needs to be sent, finds the right recipient and delivers it.

The perceive-plan-act-observe loop

An agentic system works in a cycle. It perceives the request, plans a sequence of steps, acts by calling a tool (web browsing, code execution, API call), then observes the result to adjust its strategy. This loop repeats until the goal is reached. It is this ability to act on the world, and not merely to talk about it, that defines the agentic character — and that distinguishes an AI agent from a simple chatbot.

A concrete example

A user asks: "Organize my trip to Toulouse next week." A generative AI would draft a list of tips. An agentic AI, on the other hand, checks the calendar, compares trains, books the most suitable ticket, holds a hotel near the meeting location and adds everything to the calendar. It chains the steps, corrects course if a train is full, and only reports back once the mission is accomplished. The difference is not the quality of the text, but the ability to act.

A fast-growing term in France

"Agentic AI" is among the fastest-rising queries on Google Trends France. This surge accompanies the arrival of agent modes in ChatGPT, Claude and Perplexity, capable of browsing the web and executing real tasks. For businesses, this enthusiasm reflects a deeper change: purchase and recommendation decisions are shifting toward autonomous systems.

What it changes for your visibility

When an AI acts on the user's behalf, it is the one that reads your pages, judges their relevance and decides whether to include — or ignore — your brand. The clarity of factual passages, structured data and a machine-readable architecture become decisive. This is the whole point of GEO and AEO: ensuring these autonomous systems understand, retain and cite your company. To go further, see our guide to optimizing a site for AI agents.

FAQ

Frequently asked questions

Agentic AI refers to artificial intelligence that acts instead of merely producing content. It receives a goal, plans a sequence of steps, executes actions through tools (browsing, code, APIs), observes the result and corrects in a loop until the goal is met. Its core is not the answer, but autonomous action.

Generative AI produces a result — text, image, code — in response to an instruction. Agentic AI goes further: it plans multiple steps, uses external tools and acts autonomously to complete a full task. Generative AI answers, agentic AI acts.

An agentic model is a language model equipped with a decision loop and access to tools, which lets it plan, act and adjust. "Agentic" describes a capability, not a size: the same model becomes agentic once you give it tools, memory and permission to chain actions toward a goal.

ChatGPT is first a generative AI: it drafts an answer from an instruction. But in agent mode, with access to browsing and tools, it becomes agentic — it chains steps and executes real tasks. The line is therefore not the model, but the use and the capabilities you open up to it.

Concrete cases include autonomous web research, booking trips, sorting and replying to emails, automating SEO or marketing tasks, code assistance and driving business workflows. Assistants such as ChatGPT in agent mode, Claude with computer use or Perplexity illustrate these uses that execute, and not merely write.

There is no universal best agentic AI: the choice depends on the task. ChatGPT in agent mode and Claude with computer use lead general uses; Perplexity excels at research. The right criterion is not the model's fame, but its reliability on your specific goal and its integration with your tools.

Partly, yes. Several assistants offer a limited agent mode for free, while advanced capabilities (extended browsing, long runs) belong to paid plans. On the self-hosting side, open-source frameworks combined with an open model let you build a free agent, at the cost of infrastructure and configuration.

Because the agent becomes the intermediary that reads your pages, judges their relevance and decides whether to cite — or ignore — your brand. When AI acts on the user's behalf, it chooses the sources it executes. A machine-readable architecture and clear factual passages become decisive for GEO and AEO.

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