797,444 Impressions, 7 Clicks

An SEO manager did the math in February and posted his Search Console numbers. His pages had been pulled into Google’s AI Overviews, he wrote, which sent his impression count soaring: 797,444 impressions, 7 clicks. A click-through rate of 0.0009%. The top reply was one word: “brutal.”

The clicks did not slow down. They stopped mattering. The decision they used to trigger now finishes inside the answer, before a click has a reason to exist.

Pew watched it at scale: across 68,879 searches in March 2025, users on a page carrying an AI summary clicked a traditional result 8% of the time, against 15% without one, and clicked a link inside the summary itself 1% of the time. Bain found the same shape from the demand side: about 60% of searches now end without the user going anywhere, and zero-click behavior has taken an estimated 15% to 25% off organic web traffic.

None of this is a forecast. It already happened, and it is landing on real balance sheets. Chegg told its shareholders that Q2 2025 revenue fell 36% year over year to $105 million and subscribers fell 40% to 2.6 million, as it kept feeling the impact of “lower traffic, largely due to Google AI Overviews.” Cloudflare measured the mechanics: Anthropic’s crawlers took content at a ratio of as much as 500,000 requests for every one referral sent back, OpenAI’s peaked near 3,700 to one. The answer engines read the web and stopped returning the traffic.

The intent that left was the paying kind

The migrating queries are not idle. In Bain’s survey, 42% of people who use LLMs use them to ask for shopping recommendations. And it is not window-shopping. Adobe, across more than a trillion visits to US retail sites, found that by March 2026 traffic arriving from AI converted 42% better than non-AI channels like paid search and email, a record high and a full reversal from a year earlier, when it had converted 38% worse. The moment that used to produce a search, a results page, and sometimes a sale now happens inside a conversation, and the businesses built to intercept it are watching it leave.

Here is what that sounds like from inside a marketing team. On r/DigitalMarketing, May 2026: “We’re coming to the conclusion AdWords is not working anymore for us. But definitely Google Gemini, gpt, Claude are ruining the campaigns for us.” The attribution is murky, and the poster is blaming three systems at once. But the diagnosis under it is precise, in a reply from the same thread: “the intent signals are fragmenting. People are using LLMs for research and only hitting Google when they’re close to a decision.”

The counterpoint sits in that thread too, and it sharpens the claim. A home-services marketplace reports search demand up year over year, because ads still sit above the summary on a query like “plumber near me.” The displacement is query-dependent. Last-inch, transactional intent still clicks. What moved is the research and the comparison, the “what’s the best X for Y,” which is the expensive part of the funnel.

Somebody is already buying it back

Demand is not a sentence someone agrees with in a survey. It is a budget. And the budget is already moving.

The spend is not discretionary. Advertising is a need before it is a channel choice: a large class of businesses runs entirely on paid inbound, with no organic traffic, no brand demand, and no word of mouth to catch them when the old outlet closes. Google spent two decades manufacturing that dependence, capturing the rent from both ends: it absorbed the organic clicks these businesses once earned for free, then taxed the paid ones they were left with. That money does not disappear when search stops sending customers; it goes looking for wherever intent now forms. As one commenter under that first SEO post put it, “you will survive only if search results are paid.” The budget is captive, and it is hunting for a door.

Louis Rossmann’s repair business is the shape of it. Almost nobody walks in off the street for board-level microsoldering on a dead MacBook logic board, and nobody cold-calls their way into one; his customers mail their machines in from across the country. That customer exists for exactly the moment a board dies, and the only way to be there is to have already staked a claim on the space where that moment forms. Rossmann did it the hard way, building a YouTube following until people searched for him by name. Most repair shops cannot become a channel of their own. They need a place to stake the claim, and the place they used is the one that is moving.

OpenAI now sells ads inside ChatGPT, with CPC bidding, a Conversions API, a self-serve Ads Manager, and named agency partners: Dentsu, Omnicom, Publicis, WPP. Its own pitch is the thesis here, in the incumbent’s mouth: “many ChatGPT conversations are active and decision-oriented. People are often learning about a category, comparing options, or deciding what to do next.” A named advertiser says it plainly: “Consumers are increasingly turning to platforms like ChatGPT to research and make decisions, so it’s important that we show up in those moments,” writes Amy Adams, VP of Media at Best Buy, who adds that the company is “encouraged by the early results.”

That is the demand, stated by the people spending. It is also the uncomfortable part. The first company to serve it is the one that owns the conversation, and the demand is real enough that the incumbent has already shipped the platform-owned version, on its own principle that “ChatGPT’s answers stay independent” and “conversations stay private.” That is a promise, and it is checkable by no one outside OpenAI.

On borrowed trust

The promise is the whole constraint. The intent moved to the AI because the AI is trusted, and the trust is the asset being spent. One ChatGPT user named the fear exactly: “In an AI conversation, a paid recommendation would just look like… an answer. No label. No disclosure. We’d never know.” A Harris poll for Quad sized the flinch: 75% say they would trust an AI agent less if brand dollars swayed its recommendations, and 75% would trust the paying brands less too.

Two things are being blurred there, and a workable mechanism depends on keeping them apart: a labeled placement shown next to the answer, and a payment that quietly changes the answer itself. The first is an ad. The second is what users will not forgive, and it is the thing “trust us” cannot rule out.

What this proves, and what it doesn’t

A commercially valuable share of research has moved into AI answers; the businesses built to capture it are measurably losing access; and advertisers, agencies, and platforms are already spending to buy it back. That much is on the record, in earnings reports and ad budgets.

What it does not prove is that any one fix wins, or that the category is empty. A collapsed SEO funnel is a bigger and different wound than “reach buyers inside the answer.” The demand that is proven is buy-side: advertisers want access. It does not follow that every chatbot wants to sell ads. And the incumbent, though already there, has drawn a boundary it will not cross. By its own policy, ChatGPT places no ads near personal health, mental health, or politics, precisely the conversations where intent runs deepest and trust is most fragile. Those segments, and every chatbot that is not ChatGPT, are the platform-owned version’s blind spot. Which turns the open question away from whether this market exists and toward whether it can be served where the incumbent will not, and without the one thing OpenAI cannot offer, a guarantee in place of a promise.

Under all of it sits one sentence, and every clause of it was spoken by someone above:

My customers increasingly research and decide inside an AI, and I have no trustworthy, measurable way to be considered there.

Measurable is the marketer asking whether that traffic actually spends. Trustworthy is the user who would never know, and the 75% who would leave if they did. That sentence is the problem. The demand is that the people in it are already paying to solve it, in the only form currently on offer.

Every quote and figure here was checked against its original source.

Part of the Vector Space series.