Are AI Overviews actually reducing clicks?

On informational queries, steady or rising impressions alongside falling clicks are easy to spot in your own data. You cannot attribute it from Search Console alone, though, because a ranking drop looks identical in the numbers. What you can do is check whether the affected queries are question-shaped and whether an AI Overview appears when you search them yourself. Commercial and local queries are affected far less than informational ones.

Can I see when ChatGPT or another assistant sends me traffic?

Partly. Direct referrals from some assistants show up in GA4 as referral traffic, so you can see the visits that came straight from a chat. What you cannot see is the much larger group who read a recommendation, closed the chat, and searched your name later. That arrives as brand organic search and is indistinguishable from a returning customer. Treat referral traffic from assistants as the visible tip of a larger effect.

Is a citation without a click worth anything?

It is worth something, but not something your search report can count. Being named in an answer puts your business in front of someone at the moment they are choosing, which is the same job the click used to do. The evidence usually turns up later and elsewhere: a brand search, a direct visit, or an enquiry from someone who already knows what you do.

Should I block AI crawlers to protect my traffic?

That trade is worth thinking through rather than reacting to. Blocking removes you from the answers that are increasingly where people choose a supplier, and it does not bring the click back, because the answer gets written from someone else's page instead. The more useful question for most small businesses is whether the pages being summarised are the ones you would want quoted.

How do I tell an AI Overview from a ranking drop?

Look at impressions. A ranking drop usually takes impressions down with the clicks, because you are being shown less often. An answer absorbing the click leaves impressions steady or rising while the clicks fall away. Then check the queries themselves: if they are questions rather than commercial or local searches, an AI Overview is the likelier explanation.

Does any of this change what I should write?

Not really, which is the reassuring part. The pages that earn a citation are the same pages that used to earn a click: specific, clearly written, and about the problem rather than about you. What changes is how you measure them, since the payoff now shows up as a brand search rather than a non-brand one.

How AI is Changing Organic Search

Hero: an AI answer above the first blue link, pushing it down the page

Your impressions are up. Your clicks are down. Nothing about your website changed.

That used to mean you slipped down the page. It now has a second explanation, and the two call for completely different responses.

This guide assumes you have split your search traffic into brand and non-brand. If not, start with Brand vs Non-Brand in Organic Search, because everything below concerns the non-brand half.

What AI Overviews changed

The answer now sits on the results page and takes the non-brand click with it.

An AI Overview is Google answering the question itself, above any link. It appears most often on the informational queries that make up your non-brand half. "How much does a retaining wall cost", "how often should I service a heat pump", "what is the difference between X and Y".

Your page can still be cited in the answer, and you still get the impression. But the searcher reads the answer and never clicks.

Brand queries are largely untouched, because someone searching your company name is not asking a question Google can answer for them. They want you, and they click through. So the two halves move apart.

Figure 1. The scissors

Non-brand impressions hold or grow while non-brand clicks fall. Brand clicks carry on.

Non-brand impressions Non-brand clicks Brand clicks

Illustrative figures. The last month looks like a stronger brand because brand share is up, but the brand did not change. The answer at the top of the page absorbed the non-brand half.

This pattern is worth learning to recognise, because it is confusing. A rising brand share and a growing impression count normally mean good news, yet both can appear while your reach into new customers shrinks. The tell is the gap between non-brand impressions and non-brand clicks. If it is widening, you are being shown and not chosen.

The same widening gap has a more ordinary cause: you rank on page two, or your title and description do not match what was asked. Both are worth fixing and look identical in the totals, which is why the split comes first.

The LLM blind spot

Discovery is moving to places that never appear in Search Console.

The question your report never sees, and the three names returned

Off-platform discovery

The question you never see

The bigger shift is outside Google. When someone asks ChatGPT, Claude or Gemini "who should I use for commercial landscaping in Auckland", that is a non-brand query in every sense that matters to your business. It never touches Search Console: no impression, no click, no row in any report you own.

What often happens next: they get two or three names, and Google one of them. That search arrives in your report as brand.

Figure 2. Where the discovery went

The non-brand step moved off-platform and arrives labelled brand.

Step 1

A need, no name

"Who does commercial landscaping in Auckland?"

Step 2

Asks an assistant or reads the AI Overview

Two or three businesses named.

Step 3

Googles the name

"Lou's Landscaping reviews"

Counted as brand

Step 4

Clicks, and enquires

Brand search gets the credit.

Counted as brand

The discovery that won this customer happened at step 2, where you have no measurement. Your report sees a brand search and a conversion, and reasonably concludes your brand is strong.

This changes what brand search means. It used to be a clean read on existing reputation: people who already knew you. Increasingly it is also where people arrive who learned your name thirty seconds earlier from a machine.

You cannot separate those two groups inside Search Console, and should doubt any tool that claims to. Instead, treat brand search volume as a recommendation signal rather than a performance one. If brand searches climb while your advertising, PR and customer count are flat, something is putting your name in front of people. Investigate it rather than congratulating yourself.

A practical consequence: the pages that get you recommended by an assistant are the same clear, specific, useful pages about the problem you solve that used to earn non-brand clicks.

What to do about it

Four changes to how you read the report.

1 Watch the non-brand impression to click gap.
Widening means you are shown and passed over. It is the most useful number to add to a monthly search report.
2 Check whether the affected queries are question-shaped.
AI Overviews appear on informational queries; commercial and local queries are affected far less. Search a few yourself.
3 Treat brand volume as a recommendation signal.
Rising brand search with flat advertising and customer count usually means something is putting your name in front of people. Find out what.
4 Keep writing the specific, useful pages.
Content that earns a citation is content that used to earn the click. The click may not arrive, but the citation does, and the brand search follows.

The takeaway

Being shown and being chosen have come apart, and your report only counts one of them.

AI Overviews and assistants have made the split more useful and harder to read. Non-brand clicks are getting scarcer without non-brand demand disappearing, and some of it now arrives labelled brand.

The businesses that read this correctly split the two, watch the gap between being shown and being chosen, and treat a rising brand share as a question rather than an achievement.

In Clearly: the Search Console page in every report splits brand from non-brand automatically and shows impressions next to clicks for each half, so a widening gap is visible without you going looking for it.

How AI is Changing Organic Search

What AI Overviews changed

The LLM blind spot

The question you never see

What to do about it

The takeaway

Brand vs Non-Brand in Organic Search

Clicks, Impressions, CTR & Position: A Worked Example

Why Search Console and GA4 Don't Match

Content Grouping in GA4