A system where a language model plans and carries out a multi-step goal by using tools; it does not just produce text — it searches, reads pages and takes actions.
What is an AI agent?
An agent is a language model wrapped in the ability to use tools and to work in a loop. An ordinary model answers a question and stops; an agent breaks a goal into steps, searches the web when it needs to, reads a page, calls an API, evaluates the result and moves on. In one sentence: the model talks, the agent does.
That loop turns AI from a passive answer box into an active visitor. An agent can open your product page, read the price, the ingredients and the shipping terms, compare them with other brands and bring the user a recommendation. Your site's readers are no longer only human.
What it means for brands
What an agent sees when it arrives depends on how machine-readable your site is. A price baked into an image, content that only appears after a click, or a page that renders empty without JavaScript effectively does not exist for an agent.
- Product facts — price, stock, ingredients, shipping — should be present as consistent text on the page; information that lives only in an image is lost.
- Your access policy for AI crawlers determines whether agents can see you at all.
- More agents also complicates measurement: an analytics setup that cannot separate non-human traffic produces misleading numbers.
For the ground agents operate on see the web; for the models behind them see LLM and SLM.
Frequently asked questions
Is an AI agent the same as a chatbot?
No. A chatbot stays inside a question-and-answer loop and never leaves the conversation. An agent breaks a goal into steps and uses tools — searching, reading pages, calling APIs — changing course based on what it finds. Roughly, the difference is between something that advises and something that acts.
How do I know if agents are visiting my site?
User-agent strings in your server and CDN logs, plus the networks the traffic arrives from, are the first clues; many AI crawlers identify themselves openly. If you run a layer such as Cloudflare, you can see this traffic separately and decide which bots to allow.
Related concepts
LLM (Large Language Model)
An AI model trained on very large volumes of text that generates language by predicting what comes next; the technology behind products like ChatGPT, Claude and Gemini.
RAG (Retrieval-Augmented Generation)
Having a language model write its answer from documents retrieved at question time rather than from memory alone; the method behind the citations you see in AI answers.
SLM (Small Language Model)
A language model running on far fewer parameters than an LLM, focused on a narrow set of tasks and cheap enough to run on a single device.
The Web (World Wide Web)
The network of documents and applications reachable through domain names and joined by links, running on top of the internet; the one digital ground a brand owns rather than rents.