With AI Assistants being an integral part of our private and professional life, many website owners and marketers wonder about how these systems affect traffic.
Often, their organic traffic is flat. But their content keeps showing up in ChatGPT answers. Something is clearly happening, but it’s not reflected in their analytics.
This is the new normal for a lot of teams. AI systems are interacting with websites in fundamentally different ways: some send real visitors, some read your content quietly in the background, and some never send anyone at all.
Understanding the difference is the first step to making sense of what you’re seeing:
Once you know this, tools like Matomo can help you measure what’s happening.
When people talk about “AI traffic,” they often mix very different technologies together.
Not all AI systems behave the same way — and they affect your website in different ways.
Understanding these categories already removes much of the confusion around “AI traffic.”
Here are four types you’re likely to encounter.
These are tools like:
Users type questions and receive answers written by the AI.
Sometimes these answers include links to sources. When a user clicks one of those links, they visit your website.
In analytics, this appears as referral traffic.
AI chatbots can also influence traffic when they’re not sending visitors. This happens when the AI provides a full answer inside its interface, and users don’t see the need to click the source link. In some cases, AI chatbots don’t even add a source link to their output. Both cases result in what is known as zero-click behaviour. Your content may still be used as a source, but no visit happens. And while technology can’t track human visits that aren’t happening, there are solutions to track non-human visits, performed by AI crawlers, scrapers and agents.
AI companies also operate automated programs that read websites. These are called crawlers.
They visit pages automatically to:
These visits are not human. They’re automated requests made by software.
Scrapers are similar to crawlers but more selective. Instead of reading entire websites, they extract specific pieces of content, such as:
This data may be used for training AI models or generating answers. Again, these visits are automated.
A newer category is AI agents. Agents are designed to perform actions on behalf of users.
For example, an AI agent might:
You might ask yourself how AI agents differ from AI chatbots. The difference is that AI chatbots require user prompts for each step, while AI agents can act autonomously once given an initial instruction.
One important detail: AI systems can play multiple roles
The same AI ecosystem can behave in different ways.
For example: A chatbot may send human visitors when users click links. The same company may run crawlers that read your content automatically. Some systems may fetch pages in real time while generating answers.
The key difference for analytics is simple: Who initiated the visit — a human or an automated system?
| AI type | What it does | How it affects traffic |
|---|---|---|
| Chatbots | Answer user questions | May send human visitors or reduce visits |
| Crawlers | Automatically read websites | Generate automated traffic |
| Scrapers | Extract specific content | |
| Agents | Perform tasks online | May resemble human sessions |
Imagine you run a blog about marketing tools. Over time, you might notice several subtle changes:
These different interactions can make traffic patterns look unusual at first glance. But once you understand the different actors, the effects become easier to interpret.
AI influences website traffic in three main ways:
When users click links inside AI chatbots, they arrive on your website like any other visitor.
In Matomo, this traffic is visible in the Acquisition report, appearing as a dedicated referrer channel type. In a dedicated report, you can even see the metrics for multiple chatbots.
Sometimes AI tools answer a question completely inside their interface. Users get the information they need without visiting the website. This means your content still influences the answer, but the visit never happens.
As a website owner or marketing team, over time you may notice fewer visits to informational content or changes regarding which landing pages are visited.
While analytics can’t measure visits that never occur, you can monitor visit trends over time, to get an understanding of the shifts that are happening. And keep in mind that zero-click behaviour doesn’t necessarily mean your content is less relevant. In many cases, it means the content is summarised or referenced by AI systems instead of generating direct visits.
To understand these shifts, it’s useful to monitor changes in landing pages, queries, and referral sources over time.
Crawlers, scrapers, and some agents generate non-human visits. With popular traffic analysis solutions, these visits often remain untracked and stay invisible. This is where Matomo comes into play. It offers visibility into AI traffic through different report angles.
When traffic patterns change, the goal is simple: separate signal from noise. To do this, start with the following quick check:
If you want to explore these signals in more detail, the following sections explain how to investigate them in Matomo.
Keen about testing Matomo’s AI tracking capabilities yourself? Start your 21-day free trial and make the invisible visible!
Look at referral reports in Acquisition to see whether new sources, including AI platforms, are sending visitors.
You can analyse things like:
Learn more here: How to track and analyse traffic from AI Assistants (like ChatGPT) in Matomo reports
This helps answer questions like:
To gain visibility into non-human visits and to be able to act on it, you can use Matomo’s AI Assistant tracking. It offers a dedicated report for both AI Chatbots and AI Agents. And here’s what they do:
With both detailed reports, and the possibility to investigate behaviour over time, teams don’t need to waste time caring about daily fluctuations. Instead, Matomo allows to analyse longer-term patterns, helping teams compare months or quarters to see how traffic sources are shifting.
AI is not a single technology. It is an ecosystem of chatbots, crawlers, scrapers, and agents interacting with websites in different ways. Some bring visitors. Some reduce clicks. Some generate automated traffic.
In many cases, AI crawlers are discovering and analysing content that may later appear in AI-generated answers.
In that sense, AI systems can be seen as a new type of audience: not human readers, but systems that interpret and redistribute information across AI platforms.
That may sound complex, but the basics of analytics remain the same:
One advantage of privacy-first analytics platforms like Matomo is that they provide visibility into automated traffic.
Instead of hiding these signals behind aggressive filtering or opaque modelling, Matomo allows teams to observe how AI systems interact with their websites.
AI hasn’t made analytics more complicated. It has made the question more precise: are you looking at humans or machines? Once you can answer that, the rest of your analysis stays the same.
Matomo gives you the visibility to ask that question and answer it, whether it’s a chatbot sending referral traffic or a crawler reading your pages in silence.
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