AI Deployment
Feature 21  ·  Search traffic  ·  Edition Q1 2026

A third of the traffic
is gone.

Google search traffic to publishers fell 33% globally in the year to November 2025, and 38% in the United States. Individual sites report losses between 20% and 90%. This is the largest single-year change to content distribution since search became the default channel, and the industry is still describing it as a trend.

Start with the aggregate, because the anecdotes have made this harder to see rather than easier.

Google search traffic to publishers fell 33% globally in the year to November 2025. In the United States it fell 38%.1

Underneath that average, individual outcomes vary enormously. Publishers report losses of 20%, 30% and in some cases as much as 90% of traffic and revenue over the past year.1 HubSpot - a company whose content operation was widely treated as the reference implementation of the discipline - is estimated to have lost 70 to 80% of its organic traffic.1

Figure 01
The scale of the decline
Year-over-year change across four different measures.
Bar chart showing Google traffic to publishers down 33 per cent globally and 38 per cent in the US, organic click-through rate down 61 per cent where an AI Overview appears, and HubSpot organic traffic estimated down 70 to 80 per cent.
Sources: publisher traffic analysis and search industry reporting, 2026. These four bars are not the same measurement. Two are market aggregates, one is a click-through rate on a query subset, one is a single company estimated by third parties. They are shown together to indicate scale, not to be compared as like for like. The HubSpot figure is an estimate published by others, not a company disclosure.

A third of a channel disappearing in twelve months is not a trend. It is a structural break, and the language the industry is using has not caught up with it.

The mechanism, stated plainly

The cause is not mysterious. Roughly 48% of searches now return an AI Overview, and where one appears, organic click-through rate fell 61%.1

The answer arrives on the results page. The click that used to follow it does not.

Zero-click behaviour is now the majority case in general: about 60% of searches globally end without a click, rising to 77% on mobile.1 Mobile is the more important number and the one most reporting buries, because mobile is where the majority of consumer search happens.

Two authoritative figures point in opposite directions

Here the evidence gets genuinely difficult, and we are going to show the difficulty rather than resolve it.

One widely reported figure holds that where an AI Overview is present, 83% of those queries end without any click at all, rising to 93% in Google's AI Mode.1

A second, from Semrush data, holds that the zero-click rate on keywords featuring AI Overviews fell from more than 45% in January 2025 to 38% by October.1

Figure 02
Zero-click rate on AI Overview queries - two reported figures
Same phenomenon, same period, incompatible values.
Bar chart contrasting two reported figures for zero-click behaviour on AI Overview queries: 83 per cent of queries ending without a click against a 38 per cent zero-click rate.
Both figures are sourced and both are reported by credible parties. They are not reconcilable at face value: one describes a large majority of queries ending without a click, the other a minority - and the second is falling while the first is presented as evidence of collapse. We do not know which is right. The most likely explanation is different definitions of "zero-click" and different query samples, but we could not obtain either methodology to confirm it.

This matters more than it looks. These are not a vendor claim against a study - they are two measurements of the same phenomenon in the same period, and a 45-point gap between them is larger than most of the effects being argued about.

The plausible reconciliations are all definitional. "Zero-click" may mean no click on any result, or no click on an organic result, or no onward navigation of any kind. The samples may be all queries, or tracked keyword sets, or informational queries only. Any of these would produce a wide divergence, and none of them is disclosed in the coverage we could reach.

What we are doing about it

We are reporting both figures and declining to pick one. That is unsatisfying and it is the honest position. A publication that resolved this by choosing the more dramatic number would be doing PR, not research. If either party publishes its methodology, the question becomes answerable in an afternoon.

The decline is not evenly distributed

Aggregate figures conceal who is actually being hit. Sites in health, finance and education lost 11 to 23 percentage points of organic click share.1

Those three verticals share a property. They are the categories where a searcher wants a direct answer to a factual question - a dosage, a rate, a deadline - and where the answer is short enough for a generated summary to deliver completely. There is nothing left for the click to do.

Figure 03
Which content is exposed, and which is not
Sorted by whether a generated summary can substitute for the page.
Most exposed
The answer fits in the summary
Definitional and factual content"What is", "how much", "when does". The generated answer is complete. Health, finance and education sit here and lost 11–23pp of click share.
Listicles and comparisonsSynthesisable from multiple sources, which is precisely what the system does well.
Top-of-funnel explainersThe category HubSpot built its operation on.
Less exposed
The summary cannot substitute
Proprietary dataIf the number exists only in your dataset, the summary must cite you to state it.
Transactional intentThe user needs to reach a specific destination to act.
Depth beyond summary lengthMethod, working, caveats - content whose value is in the parts a summary omits.
Experience and judgementNot retrievable, and not synthesisable from other sources.
The vertical figures are reported. The classification is ours, reasoning from what a generated summary can and cannot replace. It is an argument, not a measured segmentation, and we found no study testing exposure by content type.

The queries did not disappear

A detail that gets lost in the traffic reporting: demand did not fall. People are still asking. AI search visits grew 42.8% year over year to 27.4 billion queries in Q1 2026, as Feature 22 of this desk sets out.

So the picture is not a market losing interest in information. It is a market whose questions are being answered at a different point in the journey, by a system that reads your page and does not send anyone to it.

That distinction determines whether this is a demand problem or a distribution problem, and it is emphatically the second. A demand problem would show up as fewer questions. This shows up as the same questions, answered elsewhere, using your material.

Nobody stopped wanting the answer. They stopped needing the page that contained it.

Where the remaining clicks go

Zero-click is a majority behaviour but not a universal one, and the residue is not random. Two categories reliably survive.

Transactional and navigational intent. A user who wants to buy, book, log in or download must reach a destination. A summary can describe the product; it cannot complete the purchase. This is why commerce and software sites report less severe declines than publishers, and why aggregate publisher figures overstate the effect for businesses whose search traffic was mostly people trying to reach them.

Queries where the answer is contested or deep. When a summary cannot resolve the question - because sources disagree, because the answer depends on circumstances, or because it is longer than a summary - the user continues to the source. This is the same property Feature 22 identifies in citation behaviour, arriving from the other direction.

Both survivals point the same way, and it is not the way most content operations are pointed. The exposed category is exactly the material the discipline industrialised: comprehensive, well-structured, top-of-funnel explanation of things that have a settled answer.

Why this is worse than a platform update

Search referral has been disrupted before - Panda, Penguin, the mobile shift, featured snippets. Every one of those redistributed traffic between publishers. Some sites lost, others gained, and the discipline's response was to work out what the new ranking preference was and satisfy it.

This is different in kind. The traffic is not moving to a different set of publishers. It is not arriving anywhere. The user's need is being met on the results page, and the visit that used to be the unit of value has been removed from the transaction.

Previous updates changed who got the click. This one removed the click.

That distinction determines whether the standard response works. "Improve the content and recover the ranking" is sound advice when traffic has been redistributed. It is not advice at all when the click has been eliminated for that query class, and a team executing it will produce better content, rank higher, and see no recovery.

What to do about it

Re-segment your content by exposure, not by topic. The question is not which pages lost traffic; it is which pages a generated summary can fully substitute for. That set will keep losing regardless of quality, and the budget attached to it is the budget to reallocate.

Stop reporting sessions as the headline. If a third of the channel is gone for structural reasons, a dashboard whose primary metric is sessions will report failure every month for reasons the team cannot act on. Feature 26 of this desk sets out what to report instead.

Re-baseline before you set targets. Any content plan carrying pre-2025 traffic assumptions contains an error you can quantify today. This is the same argument Feature 01 makes about media costs: last year's number is a record, not a forecast.

Do not conclude that content stopped working. The distribution channel changed. Feature 22 shows that citation and ranking have decoupled, and Feature 23 shows that citations overwhelmingly come from earned media. Those are routes, and they are open.

Ask which of the two zero-click figures your own data supports. You have query-level data that neither published source has. The disagreement in Figure 02 is unresolvable at industry level and entirely resolvable inside your own analytics.

Figure 04
Search traffic, Q1 2026
Assembled from separate sources with different samples and periods.
MeasureValueGrade
The decline
Google traffic to publishers, global, to Nov 2025−33%Reported
Google traffic to publishers, US−38%Reported
Range of individual publisher losses−20% to −90%Reported
HubSpot organic traffic−70% to −80%Third-party estimate
Organic CTR where an AI Overview appears−61%Reported
Health, finance, education click share−11 to −23ppReported
Prevalence
Searches returning an AI Overview48%Reported
Zero-click searches, global~60%Reported
Zero-click searches, mobile77%Reported
The unresolved conflict
AIO queries ending without a click83%Source A
AI Mode queries ending without a click93%Source A
Zero-click rate, AIO keywords, Oct 202538%Source B - and falling
The last three rows do not reconcile and we present them unreconciled. See Figure 02.

How we did this

Where this comes from
A named study, reported by someone else: search industry and publisher trade reporting for traffic declines, AI Overview prevalence and CTR effects; Semrush data as reported in that coverage. From a company that sells into this market: statistics compilations for the zero-click and vertical figures. No Tier 1: we obtained no primary dataset or methodology for any figure here.
Not reconciled
The 83% and 38% figures conflict and we report both. We could not obtain either methodology and decline to choose between them.
Mixed units
Figure 01 places market aggregates, a rate on a query subset and a single-company estimate on one axis. This indicates scale only and is flagged on the figure.
What's ours, not the source's
The exposure classification in Figure 03 and the redistribution-versus-removal argument are ours.

What this doesn't prove

  • The true zero-click rate. Two sourced figures disagree by 45 points. This feature documents the disagreement rather than settling it.
  • That AI Overviews caused the whole decline. The correlation is strong and the mechanism plausible, but the period also contains ordinary algorithm changes, and no source decomposes the 33% into causes.
  • That HubSpot's loss is representative. It is one company, estimated by third parties, in the most exposed content category. It illustrates a range; it does not define one.
  • Revenue impact. Traffic is not revenue. A page losing 60% of visits may lose far less or far more margin depending on what those visits were worth, and no source we found models this.
  • That the exposure classification in Figure 03 predicts outcomes. It is reasoning about substitutability, untested against traffic data.
  • Anything outside Google. This is a Google-referral story. Other referral sources are not covered.

Sources for this feature

  1. Publisher traffic decline, AI Overview prevalence, zero-click and vertical click-share data, 2026. adexchanger.com, searchenginejournal.com, omnibound.ai, thedigitalbloom.com A named study, reported by someone else, or a company that sells into this market - trade reporting and compilations
  2. Features 01, 22, 23 and 26 of this edition. Another feature in this edition
CL
The practice behind this desk

Content Legendary

We report what content is cited for, not what it ranks for, because those stopped being the same measurement.