# 68% of Searches Now End Without a Click > Zero-click search, AI Overviews and llms.txt — what the 2026 data actually shows, what Google says about it, and the work that still counts. By Rakibul Islam · 2026-09-06 · 10 min read · 2045 words Topics: Strategy, AI, Business --- I want to tell you what I did last week, because it makes me the wrong person to write this and also the only person who should. I spent a full day making this site legible to machines. Every page got a markdown twin. An llms.txt index. An OpenAPI description of the two endpoints this site actually has. Structured data on every route. A 404 that answers in markdown if you did not ask for HTML. There is a public scoring tool for this now, and by the end of it the site read 100 out of 100. Then I read Google's own guidance on optimising for their AI features, and it says this: > You don’t need to create new machine readable files, AI text files, markup, or Markdown to appear in Google Search. And then, in case that left room: > Doing so will neither harm nor help your site’s visibility or rankings in Google Search, as Google Search ignores them. So. A day of work, on the record, for a thing the largest search engine on earth says it does not read. Let us talk about that honestly, because the honest version is more useful than either the panic or the sales pitch. ## What is zero-click search, and how big is it now? Zero-click search is a search that ends without the person clicking through to any website, and in the United States it is now how most searches end. SparkToro, working from Similarweb's desktop and mobile panel data for January through April 2026, put it at **68.01%** — up from 60.45% in 2024. A 7.56-point rise in two years. Over the same window the share of searches producing at least one click fell 9.51 points. AI Overviews appear on more than a fifth of searches, and where they appear, click-through drops by roughly 60%. Sit with the shape of that rather than the number. Two out of three times someone looks something up, the page that answered them gets nothing. No visit. No attention. Often no credit. The answer travelled; the author did not. If your entire model of being found on the internet was “rank, then get the click”, half of that sentence has quietly stopped working. ## The critique: most of what is being sold as AI SEO has not been measured An industry has grown up around this shift faster than any evidence for it, and the loudest advice in that industry is currently contradicted by the company it claims to be advice about. Take llms.txt, the file I spent part of that day writing. It is a proposed standard: a plain-text index that tells an AI agent what your site is for and where the good pages are. Sensible idea. Reasonable format. Somewhere around one site in ten has adopted it. Google has said plainly that it ignores the file. Not “deprioritises”, not “does not weight heavily” — [ignores](https://developers.google.com/search/docs/fundamentals/ai-optimization-guide). Their own AI optimisation guide tells you not to bother. John Mueller, of Google's search team, went further and [compared the file to the keywords meta tag](https://www.searchenginejournal.com/google-says-llms-txt-comparable-to-keywords-meta-tag/544804/) — a comparison with teeth, since that tag was abused into meaninglessness and dropped as a ranking input two decades ago. Not everyone accepts the analogy; Search Engine Land ran a rebuttal arguing it does not hold. I think the rebuttal is partly right, and I will come back to why. And yet the advice keeps getting sold. Not because anyone is lying, mostly. Because the file is easy to produce and the outcome is hard to check, and anything with that shape spreads. That is the pattern I would ask you to actually watch for, in this or anything: - The tactic is cheap to implement. - The result is expensive to measure. - The people recommending it are not the people paying for it. Every era of SEO has had a version of this. Keyword density. Exact-match domains. Article spinning. Ten thousand words of thin pages built for a crawler nobody wanted to be. Each felt like leverage and each was mostly cost, and each was obvious in hindsight to everyone who had already stopped doing it. I have [written before about lack of research keeping you stuck](https://substack.com/@rakibulism/note/c-320383768), and this is precisely the failure it describes: a whole field moving on advice nobody checked at the source. Google's guidance was one page. It took me a minute to read it. ## The number nobody quotes from the same study In the same period that produced the 68% headline, just 0.34% of searches transitioned into Google's AI Mode. A third of one percent. From the same dataset, in the same months, measured the same way. Google says AI Mode passed a billion monthly users and that query volume is more than doubling each quarter, and I have no reason to doubt either. Both things are true. But one of them is a company describing itself and the other is a panel measuring behaviour, and only one of those two is usually quoted in a thread telling you the web is over. You will notice which one. The scary number travels. The boring number that complicates it stays in the study. This is why I get uneasy when a trend arrives fully formed with a product attached. The direction is real. The urgency is being sold separately. ## What I will defend, including the work I just questioned The shift itself is real, it is not reversing, and preparing for it is correct even where the specific tactic is unproven. Here is the part the critique misses. Google saying it ignores llms.txt is not the same as the file being pointless. It means the file is not for Google. Anthropic publishes one for its own documentation — you can fetch [docs.claude.com/llms.txt](https://docs.claude.com/llms.txt) right now, tens of thousands of words of it. OpenAI uses the format in its Agents SDK. A tool being ignored by the biggest player is a statement about that player, not about the tool. And the deeper work underneath the file was never speculative. Clean semantic HTML. Real headings. Content that exists in the response instead of being assembled by JavaScript after the fact. A 404 that returns 404. Structured data that describes what a page actually is. None of that is AI SEO. That is just building the site properly, and it happens to be exactly what a language model needs, for the same reason it is what a screen reader needs and what a crawler needed in 2009. Machines that read the web have always rewarded the same thing: saying clearly what you mean, in the place you said you would say it. Which is the quiet joke at the centre of this whole moment. The new discipline turns out to be the old discipline, and most people are buying a new name for it. ## So what actually gets you cited? Some of this has been measured, and the measured answers are unglamorous. A team at Princeton and Georgia Tech tested this directly and published it at KDD 2024 as [Generative Engine Optimization](https://doi.org/10.1145/3637528.3671900). They ran controlled edits against generative search engines and counted what changed a source's visibility in the answer. What worked: - **Quoting a named source** — the largest single effect they measured, around +41%. - **Concrete statistics** — roughly +31%. - **Citing your sources** — roughly +27%. What did not work: keyword stuffing measured **negative**. And writing in an authoritative tone — the confident register that half the internet mistakes for expertise — measured no effect at all. Read that list again, because it is not a list of SEO tactics. It is a description of a person who does their homework. Name who told you. Bring the number. Show where you got it. A model favours that content for the same reason an editor would: it can be checked. The optimisation and the integrity point in the same direction here. That will not always be true. It is true right now, and I would take the trade while it is on the table. ## Why “optimising” was the wrong verb all along Optimising assumes a fixed system you are adjusting yourself against, and the system has changed under everyone three times in three years. If your work only makes sense inside one company's ranking function, you do not have a strategy. You have a dependency, and dependencies get repriced without asking you. This is the part of Rakibulism I keep returning to, and I did not arrive at it through search engines. I arrived at it through losing four ventures — Shelleye, Seen Design Lab, Edaca, Flowlyze — each of which was, in its own way, built on something I did not control. The question that survives every platform change is not “how do I rank”. It is “what do I have that does not depend on the ranking”. For a writer that is a real point of view, arrived at honestly and held in public. For a designer it is judgement, which is the thing I argued was becoming the whole job [when agents started designing the screens](https://rakibulism.space/blog/product-design-agentic). For anyone building anything it is the audience that would notice if you stopped. I [wrote a note in June](https://substack.com/@rakibulism/note/c-282952740) that I keep coming back to as this accelerates: > In upcoming years, your higher skill should be Imagination. I meant it about tools. It reads better now as a statement about competition. Everything mechanical is being automated, priced to zero, and handed to everyone at once. What is left is what you would have had to imagine — the angle nobody else took, the connection nobody else made, the thing that is only worth reading because a specific person wrote it. A model can produce fluent text about anything. It cannot have spent four months on the joint of a desk. That distinction is doing more work every quarter. ## What I would actually do, if you are asking Do the boring structural work once, then stop thinking about it and go be worth citing. In that order, because the first part is finishable and the second is not. - **Make the page readable without JavaScript.** If the text is not in the response, the machine did not read it. This is the single check most sites fail and the only one on this list that is genuinely urgent. - **Return real status codes.** A 404 that answers 200 tells every automated reader that every URL on your site exists. That is worse than having no site map at all. - **Be the primary source for something.** One narrow thing you originated, wrote first, and can be checked on. Breadth is cheap now; being the origin is not. - **Name your sources and bring your numbers.** It is measured to work, and it is what you would want from anything you read. - **Own the destination.** Your own domain, your own list. Rented ground gets repriced. What I would not do is refresh a score. I got mine to 100 and I will tell you plainly what that number is: evidence the plumbing works. It is not evidence anybody wants what comes through the pipe. ## The key insight Here is what I actually think, after the day of work and the guidance that undercut it. Search did not stop sending traffic. It stopped sending traffic _for answers_. Anything that was only ever an answer — the definition, the conversion, the five-step listicle, the thing a model can assemble from ten sources without needing any of them — that is gone, and it is not coming back, and no file in your root directory will bring it back. What still travels is everything an answer cannot contain. The judgement. The specific failure. The number you gathered yourself. The position someone can disagree with. The four ventures you lost and what each one cost. Those do not summarise, because there is nothing underneath them to summarise _to_ — they are already the thing itself. So the work did not get harder. It got narrower, and more honest. You cannot rank your way into being worth quoting. Two out of three searches now end without a click. The question that leaves you with is not how to win the click back. It is whether you would be worth citing if nobody ever clicked at all. --- Canonical: https://rakibulism.space/blog/zero-click-search Author: https://rakibulism.space/about