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For two decades, the implicit contract of the web was simple: write good content, rank on Google, receive visitors. That contract is being rewritten, and the new terms are strange enough that most businesses have not yet noticed the change, let alone adapted to it.
The headline numbers are alarming. Pew Research Center tracked 900 U.S. adults and found that when Google displays an AI-generated summary, users click a traditional search result only 8% of the time, roughly half the 15% rate when no summary appears. Links cited inside those AI answers fare even worse, drawing clicks just 1% of the time. Chartbeat data reported by Axios shows page views arriving from Google Search fell 34% across its publisher network between December 2024 and December 2025. Small publishers have lost around 60% of their search referral traffic over two years. Business Insider’s organic search traffic dropped 55% over three years. Some smaller outlets have already shut down entirely.
The web is being read more than ever, just not by humans
The instinct in publishing circles has been to frame this as AI killing the web. Similarweb’s 2026 Generative AI Landscape report complicates that story considerably. While AI platforms send fewer humans to web pages relative to the answers they generate, the AI systems themselves are consuming the web at an accelerating pace, fetching live pages to synthesise answers on a user’s behalf. The share of ChatGPT answers containing live web citations grew more than fivefold in under a year, reaching 6.8% of all answers by May 2026. In travel, that figure climbs to 22.6%.
Every major AI search product, including ChatGPT, Google’s AI Overviews, Perplexity, and Microsoft Copilot, pulls from live search indexes and builds answers from the content it finds there. As Lily Ray, VP of SEO and AI search at Amsive, puts it in the Similarweb report, if your organic visibility dips, your AI search visibility follows, because the models are less likely to surface your content in the first place.
This creates a troubling feedback loop. AI answers are built on an information supply chain whose funding model, ad-supported clicks, is collapsing primarily because of those same AI answers. Whether any alternative business model can sustain the open web’s content layer is one of the more consequential unresolved questions in media right now.
A new referral economy is forming inside the conversation
There is early evidence of where things are heading. Following ChatGPT’s May 7 search update, which introduced prominent clickable brand links inside answers, referral traffic from ChatGPT surged 157% in a single week. But the shape of that traffic shifted dramatically. The share of referrals landing on homepages more than doubled, jumping from roughly 25% to nearly 60%.
Traditional search sent users to specific articles tied to specific queries. AI referrals increasingly deliver a pre-informed visitor to a brand’s front door. The chatbot has already done the researching and comparing. The human arrives ready to act. Similarweb’s data shows AI-recommended brands receive two to four times as many subsequent visits as competitors that were not recommended in the answer.
Money is following that behaviour. Sponsored results appeared in 26% of U.S. desktop ChatGPT conversations in June 2026, up from 14% just a month earlier, according to Similarweb’s ad intelligence data. Two-thirds of those ads appear after the second prompt, targeted on conversation context rather than a keyword. Click-through sits around 0.50%. The traditional keyword auction is being replaced by paid placement inside a conversation, and that is a direct challenge to the model Google has run, and dominated, for two decades.
Google is disrupting itself while fighting on two fronts
Google is not a passive victim here. AI Overviews now appear in more than 40% of Google searches as of May 2026, per Similarweb, and the company is effectively cannibalising its own click economy rather than surrendering the territory to rivals. But the ground was already shifting beneath its core business. eMarketer projects Google’s share of U.S. search advertising will fall below 50% in 2026, the first time since roughly 2004. The largest portion of that lost share is going to Amazon, whose sponsored product searches count as search advertising and are growing three times as fast as Google’s.
A second front has opened on the regulatory side. A federal court entered final judgment in the U.S. Department of Justice search antitrust case in December 2025, imposing remedies that bar exclusive default agreements and require Google to share search data with qualified competitors. Google appealed in January 2026, and the DOJ cross-appealed seeking stronger remedies. However the appeals resolve, the arrangement that made Google the web’s default tollbooth is ending precisely as conversational advertising reshapes the landscape underneath it.
OpenAI, Google, Perplexity, and Microsoft are now competing not just for users but for the advertising demand that historically funded the open web, and none of them controls the new surface the way Google controlled the old one. For businesses in Malaysia and Singapore that rely on search-driven discovery, whether in e-commerce, financial services, travel, or media, this competitive fragmentation means the single-channel optimisation strategies of the past decade are becoming genuinely risky.
Your website is probably optimised for a world that no longer exists
Three independent datasets point to the same structural split. Similarweb’s data shows 65% of ChatGPT-cited URLs sit two or three folders deep within a site, while 58.8% of referral traffic from ChatGPT lands on homepages. Ahrefs found the same pattern in its own analytics: more than 80% of its AI referral traffic goes to its homepage, product pages, and free tools rather than its editorial content. A Previsible analysis of 6.77 million AI-referred sessions identified a third destination: 28.8% of ChatGPT referrals land on internal site search pages, a navigation surface most publishers have neglected precisely because Google was handling that function for them.
The practical implication is that a website now needs to serve two distinct jobs simultaneously. Deep pages, documentation, comparisons, and benchmarks need to be structured for machine citation: specific claims, clear headings, and descriptive URLs. Ahrefs found that pages with natural-language URL slugs are cited at 89.78% versus 81.11% for those without. The homepage, meanwhile, needs to be rebuilt for a visitor who already arrives with context from a conversation rather than from a search result. They know what they are looking for. The job of the homepage is to get them there fast. And internal search, long neglected on most sites, has become an acquisition surface that deserves serious UX investment.
One further complication for anyone planning a purely SEO-based response: Ahrefs, analysing over a billion data points, found that 67% of ChatGPT’s most-cited sources are things marketers cannot directly influence, with Wikipedia alone accounting for nearly 30%. And 28.3% of ChatGPT’s most-cited pages carry zero Google organic visibility, meaning the retrieval layer is only partially tethered to traditional search rankings.
The click economy is not recovering. The entities that learn to be cited by machines and to convert the pre-informed visitors those machines send will define whatever the web becomes in the next decade. For businesses across Southeast Asia that built their digital presence around the old contract, the audit needs to start now, before the gap between how AI reads your site and how visitors actually arrive becomes a structural liability.
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