SEO was yesterday, AEO is tomorrow – everyone thought ChatGPT would destroy Google: New data proves the biggest misconception in the tech industry
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Published on: March 13, 2026 / Updated on: March 13, 2026 – Author: Konrad Wolfenstein
SEO was yesterday, AEO is tomorrow – everyone thought ChatGPT would destroy Google: New data proves the biggest misconception in the tech industry – Image: Xpert.Digital
Forget about Google's demise: Why global search volume is currently skyrocketing thanks to AI
The Great Zero-Sum Fallacy: Why ChatGPT and similar technologies don't actually harm search giant Google
The new reality on the internet: 60 percent of searches end without a click – what this means for websites
Since the resounding success of ChatGPT, one certainty seemed to dominate the tech and marketing world: artificial intelligence would herald the end of classic Google search. Experts and renowned analysts predicted massive drops in traffic and proclaimed the age of "Google's twilight." But comprehensive new data analyses now expose this assumption as a gigantic miscalculation—a classic zero-sum game that completely misses the mark. The truth is: AI isn't cannibalizing the search market; it's driving its rapid growth. While Alphabet continues to report record revenues and global search traffic reaches new highs, a tectonic realignment is taking place beneath the surface. Everything is changing for companies, publishers, and marketing professionals: the transition from traditional search engine optimization (SEO) to answer engine optimization (AEO) will determine digital visibility and the allocation of billion-dollar budgets. Who are the true winners and losers of this new discovery ecosystem—and why is the internet currently undergoing a fundamental rewiring?.
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The Economics of Digital Discovery: Why AI Doesn't Cannibalize Search, But Expands the Market
And what if everyone is wrong? The biggest misconception in the digital economy is already costing companies billions
The debate surrounding artificial intelligence and traditional search engines has been marked by a remarkable intellectual imbalance since the launch of ChatGPT in November 2022. Industry observers, marketing executives, and even renowned analysts largely assume a zero-sum game: what AI gains, Google must lose. Gartner predicted as early as 2024 that traditional search engine volume would plummet by 25 percent by 2026. However, a comprehensive study by the research firm Graphite, which collaborates with companies such as Webflow, Adobe, and Upwork, arrives at a fundamentally different conclusion: the market is not shrinking, it is growing. And significantly so.
This realization has far-reaching consequences for the entire digital value chain, from advertising budgets and content strategies to the valuation of publicly traded technology companies. Those who misjudge the dynamics between AI-powered information retrieval and traditional search engines risk strategic misallocations amounting to billions.
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Data versus dogma: What the Graphite study actually shows
Graphite's analysis is the first to systematically combine usage data from search engines and AI systems, taking into account not only web traffic but also mobile app sessions. This is precisely where the crucial methodological advancement lies compared to previous surveys. Previous comparisons between Google and ChatGPT were based almost exclusively on web data, thus ignoring the fact that 83 percent of global AI usage occurs via mobile apps. Estimates that rely solely on web traffic therefore underestimate actual AI usage by a factor of four to five.
The study's key findings paint a nuanced picture: AI systems now generate 45 billion monthly sessions worldwide, reaching 56 percent of the volume of traditional search engines. However, when considering only search-like queries, the so-called asking prompts, this figure drops to 28 percent globally and 17 percent in the US. This distinction is methodologically crucial, as approximately 48 percent of all AI prompts relate to "doing" tasks such as composing emails or code development, as well as expressing interactions that have no connection to traditional search.
Perhaps the most important finding: Comparing total search usage from the first quarter of 2023 with the fourth quarter of 2025 – that is, combining search engines and AI-based search queries – reveals growth of 26 percent worldwide and 16 percent in the US. Traditional search did not decrease during this period. The new AI traffic simply appeared on top of it.
The zero-sum fallacy: Why human thinking systematically fails
The tendency to interpret emerging technologies as a direct threat to existing ones is not a new phenomenon. It follows a recurring cognitive pattern known as zero-sum bias: the assumption that gains in one area inevitably cause losses in another. Graphite draws an insightful historical parallel here. When Apple introduced the ability to develop mobile apps in 2008, Wired magazine predicted as early as 2010 that the web was dead. While mobile apps did indeed achieve their predicted potential, the web did not disappear. Instead, the overall market expanded.
The same dynamic is now evident in the relationship between AI and search. Netflix has displaced Blockbuster, the internet the Yellow Pages, so logically, AI must destroy Google. That's the logic. But the data tells a different story. Google's search volume is not declining. The company already recorded more than five trillion search queries annually in January 2025, as Google itself publicly confirmed in March 2025. Similarweb data for 2024 shows 852 billion visits with an average of 6.7 page views per visit, resulting in 5.7 trillion annual page views, thus supporting Google's own figure.
Alphabet's financial results for the fourth quarter of 2025 emphatically underscore this stability: Group revenue rose by 18 percent to $113.8 billion, with Google Search alone generating $63.07 billion, a 17 percent increase year-over-year. Annual revenue exceeded the $400 billion mark for the first time. Given these figures, talk of a dying business model is out of the question.
Market shift without market decline: How visibility is redistributed
Nevertheless, it would be naive to ignore the tectonic shifts in the digital landscape. ChatGPT now holds a 20 percent share of global search-related traffic, and 12 percent in the US. Google's share of total search and discovery traffic has fallen from 89 percent in 2023 to 71 percent in the fourth quarter of 2025. This isn't a decline, but rather a diversification. Absolute traffic remains stable or even grows, but the relative share is shifting in favor of new platforms.
A study by Peec AI supports this figure from a different perspective. OpenAI and Harvard published research showing that ChatGPT processes 2.5 billion prompts daily, 24 percent of which can be classified as search queries. This equates to 600 million daily search queries, compared to Google's approximately 14 billion, representing a share of about 4.3 percent. Depending on the calculation method and assumptions about click-through rates, ChatGPT's search volume ranges between 2 and 12 percent of Google's volume.
These figures illustrate that the market is not shrinking, but it is becoming more complex. The era of a single dominant gateway to information is giving way to a multi-system ecosystem in which different platforms serve different information needs.
The anatomy of the new discovery market
To understand the economic implications of this development, it's worth examining the structural changes in user behavior. The phenomenon of zero-click searches, where users find their answer directly on the results page without clicking on a website, has increased dramatically. Around 60 percent of all Google searches now end without a click; on mobile devices, this figure rises to 77 percent. Google's AI Overviews, which appear in approximately 13 percent of all search queries, reduce the click-through rate by up to 47 percent.
At the same time, overall search volume is growing: Daily Google searches are projected to increase from an estimated 8.5 billion in 2024 to between 9.1 and 13.6 billion in 2025. This seemingly paradoxical simultaneity of fewer clicks and more searches is key to understanding the new market dynamics. Neil Patel Digital's analysis of 30,000 websites revealed that overall organic traffic has increased, even as AI overviews gain prominence. Individual websites may be losing traffic, but the total pool of available clicks has expanded because search volume growth is outpacing zero-click growth.
However, this poses a serious threat to publishers. The New York Times recorded a decline in the share of organic search traffic in its desktop and mobile traffic from 44 percent to 36.5 percent between April 2022 and April 2025. The majority of publishers surveyed in the Digital Content Next network reported traffic losses of between one and 25 percent due to Google AI Overviews.
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Analysts were wrong: The search is not dead, it is exploding – but not as expected
Google's strategic paradox: Cannibalization as a growth strategy
Google finds itself in a historically remarkable economic situation: The company is actively cannibalizing its own core business in order to save it. AI Overviews reaches 1.5 billion monthly active users. AI Mode, Google's ChatGPT competitor within the search interface, processes queries three times longer than traditional searches, giving Google significantly more context about user intent. Daily usage per user has doubled since its launch, and the service has reached 100 million monthly active users in the US and India alone.
CEO Sundar Pichai directly attributed the accelerated revenue growth at Google Search, which jumped from 10 percent in the first quarter of 2025 to 17 percent in the fourth quarter, to AI features. Revenue from products based on generative AI models grew by nearly 400 percent year-over-year in the fourth quarter of 2025. With planned capital expenditures of $175 billion to $185 billion for 2026, Alphabet is signaling its readiness to aggressively expand its structural advantage, comprised of browser dominance, mobile platform control, and proven monetization.
This strategy, however, carries risks. By prioritizing its own AI-generated answers over third-party content, Google undermines the ecosystem that makes its search index valuable in the first place. Publishers whose content was used to train the AI models see their click-through rates plummet, while Google internalizes the added value. The UK's Professional Publishers Association has already presented evidence to the Competition and Markets Authority demonstrating how Google's AI features are harming publishers.
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The forecasting industry and its limits
The conflicting predictions about the search market reveal a fundamental problem with technology forecasting. Gartner's much-cited forecast of a 25 percent decline in search engine volume by 2026 was based on the assumption of a rapid substitution of traditional search queries by AI chatbots. However, empirical data to date shows no such substitution. Gartner Vice President Alan Antin argued that the rapid adoption of ChatGPT and the emergence of other AI players would trigger a rapid decline. What Gartner underestimated was the possibility of market expansion rather than market redistribution.
Other predictions are no less problematic. Some analysts see AI-powered search overtaking traditional search as early as 2028 to 2030. Traffic analysis provider Advanced Web Ranking, however, emphasizes that Google still processes 373 times more searches than ChatGPT. The gap is therefore still enormous, even though the dynamics are clearly shifting in favor of AI platforms.
The truth, as so often, lies somewhere in the middle – but a middle ground that is constantly shifting. Global AI adoption has stabilized at a high level since July 2025, while it continues to grow rapidly in the US. In December 2025, the volume there was 300 percent higher than in December 2024. This suggests regional maturation phases, not a linear global growth curve.
From search engine to answer system: The new value creation architecture
The most profound change concerns not the volume, but the architecture of information gathering. BCG describes this shift as a transition from search to discovery: discoverability will increasingly depend on how effectively a brand's content is found, understood, and deemed trustworthy by both AI systems and human users. Semrush data shows that the number of sources cited by ChatGPT increased by almost 80 percent between August and October 2025, while Google's AI Mode saw a growth of only 13 percent.
For companies, this means a fundamental realignment. The question is no longer where a website ranks in Google results, but whether it even appears as a citable source in the various answer systems. Search engine optimization is expanding into answer engine optimization, a paradigm in which content quality, semantic structure, and brand authority must be optimized across multiple platforms.
US advertisers are expected to spend over $25 billion annually on AI-powered search placements by 2029, representing nearly 14 percent of total search budgets. This figure signals that the advertising market is already pricing in the multi-system reality, even though many companies are still strategically clinging to the old paradigm.
Winners and losers of the great redistribution
Market expansion is distributing profits asymmetrically. Google remains by far the largest player and, paradoxically, is even profiting from the AI revolution, as its financial figures show. ChatGPT has established itself as the dominant force in the new half of the discovery market with an 89 percent market share among AI platforms. Perplexity, Grok, and Claude share the remaining 11 percent worldwide.
The real losers are not so much the search engines themselves, but rather the content publishers and websites that depend on organic traffic. The B2B sector is particularly affected: 73 percent of B2B websites experienced significant traffic losses between 2024 and 2025, with an average decline of 34 percent. This is not primarily a search engine demise, but rather a decoupling of search volume and website traffic, triggered by the internalization of answers within the search interfaces themselves.
Also noteworthy is the generational dimension. Gen Z is increasingly using TikTok and Reddit as search platforms, and 39 percent of consumers use Pinterest as a search engine. Reddit has introduced Reddit Answers, an AI-powered search function that accesses over 22 billion posts and comments from more than 100,000 communities. The decentralization of search is therefore not limited to the Google versus ChatGPT duopoly, but extends to a wide range of platforms.
What this means for corporate strategy and investments
The strategic implications of market expansion are significant. Companies that base their digital visibility strategy solely on Google SEO are operating in a shrinking sub-segment of a growing overall market. The proportion of marketing managers who plan to invest less in traditional Google search by 2026 already significantly outweighs those who intend to invest more.
The market expansion also has consequences for Alphabet's investment valuation. Fears that ChatGPT would erode Google's core business have not materialized. On the contrary, the integration of AI into search has accelerated revenue growth. Alphabet's stock trades at a forward price-to-earnings ratio of around 22, which reflects moderate valuation expectations given 18 percent revenue growth and 30 percent net income growth.
At the same time, investors must critically examine the sustainability of this dynamic. If Google increasingly generates answers itself, instead of redirecting traffic to external websites, it undermines the long-term incentive for content producers to create high-quality content. A recent Graphite study shows that over 52 percent of all articles on the internet are already AI-generated, yet AI-generated content does not rank well in either Google or ChatGPT: 86 percent of the articles listed in Google and 82 percent of the sources cited by ChatGPT still come from human authors. This quality gap suggests that the flood of machine-generated content is increasing, rather than decreasing, the demand for high-quality, human-curated information.
The Age of Response Ecosystems
The discovery market is not facing a shift from one monopolist to the next, but rather a structural diversification. Within the next five years, there will likely no longer be a clear boundary between search engines and AI assistants. Instead, multiple intelligent systems from different providers will determine what people see, whom they trust, and what they buy.
The most exciting question for the digital economy is therefore not whether AI will replace search – because the data clearly shows that it won't. The relevant question is: How is economic value creation distributed across an ecosystem of parallel response systems? Those who build visibility and gain trust in this fragmented landscape will reap the economic rewards of market expansion. Those who continue to think in terms of a zero-sum game will miss the greatest growth opportunity in the digital economy since the advent of mobile internet use.
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