Why we’re talking about bot traffic right now
If you spend much time looking at website analytics, you may have noticed that some numbers don’t behave quite the way they used to.
Traffic may be dipping where you expected growth. Rankings might still look steady(ish), but clicks are dropping. In some cases, conversions are improving despite fewer visits.
One reason is the rapid rise in bot traffic.
According to the 2025 Imperva Bad Bot Report, automated programs now generate around 51% of all internet traffic, meaning machines are now responsible for slightly more web activity than humans.
At the same time, fewer searches result in a website visit. Research analysing billions of Google searches found around 60% of searches now end without a click, as users get the information they need directly on the results page.
Put those two trends together and we can see something interesting happening.
Websites are still being read and analysed constantly — but increasingly by machines as well as people.
For marketers, this raises some practical questions:
- What exactly is bot traffic?
- Are bots good or bad for your website?
- Why are AI tools crawling websites so heavily?
- What does this mean for AI search visibility?
What is bot traffic?
Bot traffic refers to website visits generated by automated software rather than human users. These bots crawl and analyse websites to collect information for search engines, AI systems, monitoring tools and other automated services.
They typically:
- crawl pages
- index content for search engines
- analyse product or service information
- extract answers to questions
- feed data into search engines and AI systems
Bots have always played a role in how the internet works. Search engines depend on them to discover and understand websites.
Without crawlers such as Googlebot, your pages wouldn’t appear in search results at all.
What’s changed in recent years is the volume of bot traffic and the types of systems generating it, particularly as AI platforms increasingly analyse the web to answer user questions.
Not all bots are bad
When people hear “bot traffic”, they often assume something has gone wrong.
In reality, many bots are essential.
Helpful bots
These power much of the internet.
Examples include:
- Googlebot
- Bingbot
- SEO auditing crawlers
- AI search crawlers
Their job is to analyse websites so search engines and AI systems can surface useful information.
Malicious bots
Bad bots behave differently. They may:
- scrape content
- generate spam traffic
- attempt login attacks
- overload servers
The latest research suggests malicious bots account for roughly 37% of global web traffic, although most are blocked by security tools before they cause problems.
The increase in bot traffic marketers are seeing today is largely driven by AI systems analysing the web.
Why AI systems are crawling websites so heavily
AI systems crawl websites because they need reliable information to answer users’ questions.
Tools such as ChatGPT, Gemini and Perplexity analyse large volumes of online content so they can understand topics, compare sources and generate useful responses.
Instead of sending users to several websites to research an answer themselves, these systems often summarise the most relevant information into a single response.
That means your website may still influence the answer — even if the user never clicks through to the page.
However, there’s an important distinction…
Some websites are simply part of the background information AI systems learn from.
Others are explicitly cited as sources within the answer itself.
Being cited is far more valuable. It increases credibility, visibility and the likelihood that a user will click through for more detail.
This is why marketers are starting to pay attention to AI search visibility.
It’s no longer only about ranking in search results. Increasingly, it’s about whether your information is clear and credible enough to be selected and cited by the AI systems people are using to find answers.
How search behaviour has changed over time
Search behaviour has gradually moved through several stages over the past decade, and that change helps explain why bot traffic is increasing.
Here’s a simple way to visualise it.

Bot traffic hasn’t appeared overnight. Automated systems have been interacting with websites for decades, primarily through search engine crawlers and monitoring tools.
However, what has changed recently is the scale and sophistication of those systems, particularly as AI platforms increasingly analyse web content to find the answers to user questions.
How AI systems decide what information to use
AI systems evaluate websites differently from human readers. They are designed to identify information that is clear, credible and easy to interpret.
In practice, that means they tend to favour content that demonstrates the same qualities search engines have prioritised for years through E-E-A-T: Experience, Expertise, Authoritativeness and Trustworthiness.
However, some signals stand out more strongly for the AI systems vs Google as they help both search engines and AI systems understand how products, services or ideas relate to one another.
Well-structured content
Clear headings, sections and summaries and help machines understand information quickly and extract key points accurately.
Evidence-based information
Statistics, research findings and cited sources signal credibility and make it easier for AI systems to validate what a page is saying.
Comparative content
Content that compares options is especially useful for recommendation systems.
Examples include:
- Best CRM tools for small businesses
- X vs Y platforms
- Top accounting software for manufacturers
In practice, AI systems are most likely to reference content that is clearly structured, evidence-based and written by credible sources.
“AI tools are incredibly good at identifying clear answers. If your content explains something well and supports it with evidence, it’s far more likely to be referenced.”
You’re no longer optimising for one search engine
For many years, SEO strategies have focused almost entirely on Google.
Today, your website content (and your wider digital presence) will be interpreted by a growing ecosystem:
- traditional search engines
- AI assistants
- recommendation engines
- voice assistants
- emerging shopping agents
These systems increasingly help people:
- research products
- compare suppliers
- shortlist options
- make buying decisions
Which brings us to something many marketers are only just starting to hear about: AI systems that don’t just answer questions, but help users make decisions too.
The rise of AI shopping agents
AI assistants are beginning to move beyond answering questions.
Some are starting to complete tasks on behalf of users.
In the US, companies such as Amazon, Google and OpenAI are already experimenting with systems that can research and recommend products automatically. These tools are often referred to as shopping agents.
In simple terms, they act like a digital assistant that can do the research for you.
For example, instead of searching manually, a user might ask an AI assistant:
“Find me a good pair of running shoes under £120 with strong reviews.”
The AI could then:
- search multiple retailers
- analyse reviews and product ratings
- compare prices and features
- recommend a shortlist of options
Some systems are already moving towards the next step — completing the purchase with the user’s approval.
For marketers, this introduces an interesting new reality.
“We’re moving toward a world where businesses aren’t just persuading people one at a time. Increasingly, they’ll be informing systems that help people to make decisions.”
While this is currently emerging in the US market, it’s developing rapidly and will almost certainly reach the UK sooner than many expect.
When AI systems are making shopping recommendations, the businesses that appear most often will be the ones whose information is clear, credible and easy for machines to interpret.
Technical signals still matter
Content quality is only part of the equation. AI systems also rely on technical signals to interpret websites.
These include:
- fast page load speed
- clear page structure
- schema markup
- machine-readable formatting
These signals help automated systems understand:
- what your page is about
- how trustworthy it appears
- how it compares with other sources
For marketers, this reinforces the fact that good technical SEO still matters too, and is a core foundation of GEO.
What marketers should pay attention to now
For most organisations, rising bot traffic isn’t something to panic about. But it is something to understand.
A few practical priorities:
Answer real questions
Content that clearly explains a topic is more likely to appear in both search results and AI responses.
Structure your pages well
Clear headings and summaries make information easier for both humans and machines to interpret.
Support claims with evidence
Statistics, research and examples strengthen credibility signals.
Think beyond the click
Your content may influence decisions even when the user doesn’t visit your website directly.
Key take-outs
The web hasn’t become less important. If anything, it’s becoming the knowledge base behind the AI systems people increasingly rely on.
Bot traffic is simply a signal that machines are learning from the information businesses publish online.
And the organisations that will benefit most are the ones creating content that is clear enough for machines to understand, credible enough for people to trust, and useful enough to be referenced by both.
If this article has made you wonder about your visibility in AI search, why not request a WSI Digital Advisors AI Visibility Audit.
________________________________________________________________________________________________
Frequently asked questions about bot traffic
Is bot traffic bad for SEO?
Not necessarily. Many bots, such as search engine crawlers and AI indexing tools, help your content appear in search results. Problems only arise when malicious bots create spam traffic or attempt security attacks.
Why is bot traffic increasing?
The growth of AI systems analysing the web is a major factor. AI assistants and recommendation engines regularly crawl websites to gather information used to answer user questions.
Can businesses benefit from bot traffic?
Yes. If your content is clear, credible and well structured, it is more likely to be referenced by search engines and AI systems when answering questions.
Further Resources by WSI Digital Advisors
Choosing Digital Marketing Channels – a layered approach in an AI Driven World
Is your website ready for the AOI search revolution?
How AI understands your website (and why that matters)
Marketing KPIs that matter when being found online isn’t just about Google