Three announcements landed in the same week of October, in three unrelated parts of the industry. A shopping cart, a licensing programme for news publishers, and a study about which websites get quoted in AI answers. Nobody presented any of them as being about traffic. All three are, and they are about the same part of it. Here is what each one does, what the citation data actually shows, and why a decline that looks uniform in a dashboard is not hitting everyone in the same way.

Key takeaways

Google launched Universal Cart on 15 October and, the same day, said it now pays more than 400 publications in its News AI pilot.
Ahrefs measured Reddit falling from 19.1 percent of cited ChatGPT answers in March to 2.3 percent in September, with Wikipedia and WebMD falling alongside it and primary sources rising.
The three announcements remove the same thing. Not traffic in general, but whoever was sitting between the thing and the person who wanted it.

What happened in one week

On 15 October, Google launched Universal Cart in the United States, across Search, AI Mode and the Gemini app. One cart holds products from several retailers, tracks price drops and restocks, picks the card with the best perks and finds the promo code. It runs on the 60 billion-plus product listings Google holds in its Shopping Graph.

The same day, Google said more than 400 publications now take part in its News AI pilot, a paid licensing programme that started in December 2025 with a handful of titles. CNN, the Financial Times, Axios and Forbes are among the new names, alongside local US outlets like the Texas Tribune and Shaw Media. Google pays for what it calls enhanced content and uses it to build article overviews and audio briefings inside Google News.

In the days before, Ahrefs published a comparison of 2.4 million ChatGPT answers from March against 3.8 million from September, covering the 200 most-cited domains in US answers. Reddit went from 19.1 percent of cited answers to 2.3. Wikipedia from 14.1 to 2.9. WebMD fell from 18th to 79th. PubMed rose from 64th to fourth.

The same move, three times

Set them side by side and the shape is hard to miss.

Google no longer needs to send a shopper to a retailer's product page in order to let them compare and buy, because it has already absorbed the catalogue. For the purpose of comparing a product, the retailer's page was a place where manufacturer information was displayed. Google now displays it.

Google no longer needs to send a reader to an article in order to tell them what happened, because it is paying for the material and writing the summary itself. The old arrangement was implicit: you get indexed, we send you readers. The new one is explicit: we pay you, and we keep the reader.

And ChatGPT no longer leans on the places where people had gathered what other people knew. Reddit collects opinion. Wikipedia collects research. WebMD explains medicine. All three fell. PubMed, which is where the medicine comes from, rose sixty places.

Three unrelated announcements, three different industries, one move. Each removes the layer that stood between the thing and the person who wanted it.

What the citation data actually shows

The Reddit number is the one everyone quoted, and it is the least interesting part. What matters is which domains rose.

Government health and research bodies rose. Regulators rose. People who test products with their hands rose. Ahrefs sums it up in its own write-up by saying ChatGPT appears to prioritise original sources over sites that summarise them.

Two numbers sit underneath. Of 66.6 million free answers studied, only 14.4 percent involved a web search at all, which means six answers in seven come from what the model already holds. And when ChatGPT does restrict a search to a single website, that website is a brand's own site 75.9 percent of the time.

That second figure is the only genuinely encouraging thing in this week for a company that is not a newsroom. When a model needs a fact about a product, it goes to the company that makes it.

Being the origin does not get you more traffic

This is where the story stops being comforting.

PubMed rose sixty places and gets cited, not visited. CNN signed a multi-year deal and gets paid, not clicked. A retailer whose products sit in Universal Cart gets the sale and loses the session, the browsing data and the email capture.

So the traffic decline hits all of them. What changes is whether anything comes back in exchange. Being the origin of something converts a lost visit into a citation, a cheque or a transaction. Being the place where other people's material was displayed converts it into nothing at all.

Reddit is the clearest illustration. It did not get worse. It got bypassed.

The part that should worry marketing teams

Most brand content is intermediation. The explainer about somebody else's study. The roundup of the quarter. The trend piece built from three reports. The blog post that restates what an analyst published. It is the cheapest category to produce, which is why there is so much of it, and it is precisely the category that the citation data has just devalued.

Meanwhile the material a company genuinely originates tends to sit outside the content function entirely. Specifications. Test results. Pricing logic. Compatibility. Support documentation. What a product is actually made of. That material is usually treated as back office, kept in a feed or a spreadsheet, and never written for a reader.

The 75.9 percent figure says a model treats your own domain as the authority on your own products. Most companies have organised themselves so that the authoritative material is the part nobody publishes properly.

Where this story is too neat

Ahrefs is explicit that its data is a snapshot of one model taken between August and September. Other trackers still put Reddit first by raw citation count, which is not a contradiction, because share of answers and number of citations measure different things, but it does mean the collapse should be read as one measurement rather than a verdict.

Universal Cart is US-only. Integrated payment works at a short list of merchants, and everywhere else the cart still hands the shopper to the retailer's site to finish, which is the behaviour it was meant to replace. The YouTube and Gmail versions announced in May did not ship.

And the clean version of this argument, that platforms have developed a preference for primary sources, may be describing something less principled. Reddit is an origin for one thing, unfiltered human opinion, which is exactly why it dominated for two years. Its fall may say more about liability and licensing than about epistemics. Google paying 400 newsrooms is, among other things, a way to be holding contracts when the lawsuits and the regulators arrive. The outcome is the same either way, but the reasoning matters if you are trying to predict the next move.

Three things to do about it

First, split what you publish. Work out what share of your output originates something and what share restates something. Nobody enjoys this exercise, and most teams find the ratio uncomfortable. The restated portion is not worthless, but it has just lost most of its distribution, and it should stop being the default output of a content calendar.

Second, treat your product and technical material as publishable. Specifications, dimensions, materials, compatibility, what is in the box, what it does not do. This is the material a model comes to your domain for, and in most organisations it lives in a feed and a spreadsheet that disagree with each other. Keeping it attached to the asset rather than in a parallel system is the difference between being quotable and being guessed at.

Third, stop reading the traffic line on its own. A fall in referral visits says nothing until you know whether the same period brought more citations, more direct arrivals or more assisted sales. Most reporting cannot answer that, and the problem is usually how the view was built rather than what the tools can see.

The two things that survive this are original material and accurate product information. Both are made inside the creative chain, and in most companies both lose their context the moment they leave the team that produced them. MTM keeps assets and the facts about them in the same place, organised automatically and findable in plain language rather than through tags someone has to remember to apply.

See how MTM handles assets and the data attached to them → https://www.mtm.video/platform/

FAQ

Why group a shopping cart, a news licensing deal and a citation study together? Because all three remove the same layer. Google can run Universal Cart because it has already absorbed 60 billion product listings, so it no longer needs to send a shopper to the retailer's page. It can pay 400 newsrooms because it writes the summary itself, so it no longer needs to send a reader to the article. And ChatGPT cites PubMed instead of WebMD because it no longer needs a site that explains the research. Three industries, one move.

Does this mean Reddit and Wikipedia are finished? No, and the data does not say that. Ahrefs found their share of cited answers collapsed between March and September, while noting both remain among the most retrieved domains in the background. Other trackers still rank Reddit first by raw citation volume. What changed is how often they end up quoted in the answer a person reads, which is the part that generated traffic.

Is my brand's own website still worth investing in? On this evidence, more than before. When ChatGPT restricts a search to one site, Ahrefs found it is a brand's own site 75.9 percent of the time. A model treats your domain as the authority on your own products. The caveat is that this only helps if the material is actually there and readable, which for most companies means publishing product and technical information properly rather than leaving it in a feed.

Can brands get paid by Google the way publishers are? No. The News AI pilot is a licensing arrangement with news organisations for content used in experimental news features, and no equivalent exists for brands. A company that loses referral traffic to an AI answer is compensated in visibility, if at all.

What should we do with the content we already publish that mostly summarises others? Not delete it, but stop making more of it by default. It still serves people who arrive on your site, and it still supports a position. What it no longer does is earn distribution, because the model prefers the thing being summarised. Shifting even a quarter of that production toward material only you can produce is a better use of the same budget.