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Agentic AI

Agentic AI is AI that does not just answer but carries out multi-step tasks on its own — planning, using tools, checking results — with a human keeping oversight.

Definition

Agentic AI is AI that does not just give an answer but carries out a task on its own in several steps: breaking a goal into parts, using tools — a search engine, a browser, an API, a CMS — checking intermediate results, adjusting and continuing until the task is done, with a human keeping oversight. The difference from a chatbot is the difference between 'explain how I do this' and 'do this for me'.

Under the hood an agent is a language model in a loop. The model gets a goal and a set of tools, picks a next step, executes it, looks at the result and picks again. What sets it apart from an ordinary prompt are the controls around it: a plan fixed up front, checks on every intermediate result, limits on what the agent may do without permission, and a log of what happened. In 2026 such agents sit inside ChatGPT, Gemini, Perplexity and Claude, and they can browse, fill in forms and place orders.

For marketers, agentic AI has two sides. The first is that agents become visitors to your site. An agent searching for 'the cheapest 27-inch monitor with USB-C' on someone's behalf visits dozens of pages, compares and chooses — without a human ever looking at your site. That agent does not read banners; it reads HTML, structured data, prices, stock and whether your form works. A site designed only for people falls by the wayside with such an agent.

The second side is that you deploy agents yourself. Agentic SEO is an agent that researches keywords, plans clusters, writes pages, publishes them into your CMS, measures results and plans the next round on that basis. The human moves from executor to supervisor: approving strategy, setting brand rules, reviewing publications. That is how Traze works too: it researches, writes and publishes autonomously, and you keep the approval in your hands.

The risks are real. A mistake in step two carries through to step ten, so an agent without controls multiplies hallucinations instead of catching them. Good agentic systems show their work — which sources, which choices, which changes — and make every action reversible. If a vendor cannot show that, it is not an agent but a generator with a long prompt.

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FAQ · Agentic AI

Frequently asked questions

A chatbot answers one question with one answer. An agent receives a goal, plans steps, uses tools to carry those steps out and checks the result before moving on. The distinction is not in the model but in the loop and the tools around it.

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