AI Overviews were designed to make search faster. Instead of scanning multiple results, users are presented with a short summary at the top of the page that aims to answer the question immediately. In theory, this should reduce the need to click through to websites.
In practice, that’s not exactly what’s happening.
While AI Overviews are becoming more visible across search results, they are not capturing the majority of user engagement. The way people interact with them reveals something important about how search behaviour actually works.
Visibility and intent are not the same thing
AI Overviews are prominent. They sit above traditional results and are often the first thing users see. That placement suggests authority and convenience.
But convenience doesn’t always align with intent.
Many searches aren’t just about finding an answer. They’re about reducing uncertainty. Users want to know whether information is reliable, current, and relevant to their specific situation. A short summary can help orient them, but it often isn’t enough to resolve the question fully.
This is why AI overviews only gets 19% of clicks despite their visibility. The overview sets the scene, but most users still move on to explore further.
AI Overviews work best as starting points
For broad or informational queries, AI summaries can be useful. They explain concepts, outline common viewpoints, and provide quick context. That makes them effective as entry points.
What they don’t do particularly well is replace depth.
When users are making decisions, comparing options, or evaluating credibility, they tend to seek more than a condensed explanation. They want to see where information comes from. They want to understand nuance. They want reassurance.
That naturally leads them to click.
Why clicks still matter to users
Clicks signal intent. When a user chooses to leave the results page, it’s usually because they want something more specific.
This might be:
- confirmation from a trusted source
- details that don’t fit into a short summary
- local or personalised information
- evidence that supports a claim
AI Overviews rarely provide all of that in one place. As a result, they guide users rather than replace exploration.
Trust is built beyond summaries
AI-generated content can feel authoritative, but users still apply judgement. They look for signals that information is credible and grounded in reality.
That often means checking:
- who published the content
- whether the brand is recognisable
- if the information aligns with other sources
Traditional search results still play a key role here. They provide access to real organisations, identifiable authors, and up-to-date pages that reinforce trust.
This explains why users continue to click even when an overview appears to answer the question.
The difference between knowing and deciding
AI Overviews are good at helping users know. They’re less effective at helping users decide.
Decision-making usually requires context, comparison, and confidence. It involves weighing options rather than absorbing a single explanation.
Search behaviour reflects this. Users may read an overview, absorb the framing, and then click through to explore the options that feel most relevant.
The overview simplifies the early stage. The click completes the process.
What this means for SEO strategy
The rise of AI Overviews doesn’t eliminate the need for SEO. It changes where SEO adds value.
Instead of competing with summaries, content now supports the moments that follow them. That includes:
- answering follow-up questions
- providing detail AI summaries leave out
- reinforcing trust through clarity and consistency
Pages that do this well remain valuable, even if they receive fewer early-stage clicks than before.
Why clarity beats coverage
AI systems summarise content that is easy to interpret. That encourages a shift away from overly broad pages toward more focused ones.
Pages that try to cover everything often lose definition. Pages that explain one thing clearly are easier for users to engage with after reading an overview.
This benefits businesses that are deliberate about what each page is meant to achieve. Clear purpose makes content easier to trust and easier to choose.
Measurement needs more nuance
Click-through rates alone don’t tell the full story anymore. A page may influence users even if it isn’t the first thing they click.
Some users arrive later.
Some search brand names after reading an overview.
Some skip straight to contact or enquiry pages.
These behaviours reflect informed users, not disengaged ones.
Understanding this context helps avoid misinterpreting changes in traffic as failures.
Why the 19% figure matters
The fact that AI Overviews capture a relatively small share of clicks shows that users still value control. They want to choose where they go next. They don’t want to rely on a single summary when decisions matter.
Search is becoming layered:
- AI provides orientation
- organic results provide depth
- branded pages provide reassurance
Each layer supports a different stage of intent.
How businesses should respond
Rather than trying to optimise for AI Overviews, businesses benefit more from optimising around them.
That means:
- writing content that aligns with real user questions
- keeping explanations clear and focused
- avoiding unnecessary padding
- maintaining consistent messaging across pages
When content holds up on its own, it performs well regardless of how users arrive.
Looking ahead
AI Overviews will continue to evolve. They’ll become more accurate, more contextual, and more common. But current behaviour shows they aren’t replacing deeper engagement.
Users still click when it matters. They still seek reassurance. They still want to make informed decisions.
AI Overviews set the context.
Websites provide the confidence.
Search hasn’t become simpler. It’s become more layered — and clicks still play a vital role in how people move from understanding to action.
