Businesses Overhaul Marketing Strategies to Compete in AI-Powered Search

For two decades, the formula was straightforward: build a website, optimize it for Google, and watch customers arrive. That formula is breaking down. As AI-powered search tools — Google's AI Overviews, OpenAI's ChatGPT, Perplexity, and others — increasingly answer user questions directly, businesses that once relied on organic search traffic are watching their visitor counts fall and scrambling to figure out what comes next.

The stakes are enormous. The global SEO services market was valued at $74.9 billion in 2025 [1]. Now a significant portion of that spending is at risk of becoming ineffective, while an entirely new industry of "answer engine optimization" vendors has sprung up to sell businesses on a replacement strategy. Whether that strategy works — and who profits from the transition — is a question with billions of dollars riding on the answer.

The Traffic Collapse

The numbers are stark. The median publisher experienced a 10% year-over-year traffic decline in the first half of 2025 [2]. For non-news content sites, the decline was 14% [2]. Organic traffic to news websites fell from a peak of 2.3 billion monthly visits in mid-2024 to under 1.7 billion by May 2025 — a loss exceeding 600 million monthly visits in less than a year [2].

Individual cases are more severe. HubSpot, one of the most prominent inbound marketing platforms, saw traffic drops of 70–80% [2]. Business Insider's organic search traffic fell 55% between April 2022 and April 2025, prompting the company to cut 21% of its staff [2]. Online learning platform Chegg reported a 49% decline in non-subscriber traffic between January 2024 and January 2025 [3].

The mechanism is simple: when Google's AI Overviews appear — now triggered on 25.11% of all Google searches as of Q1 2026, up from roughly 16% in late 2025 [4] — click-through rates to websites plummet. Traditional search results without AI summaries see a 15% CTR; with AI Overviews present, that drops to 8% [5]. The top organic link's CTR falls by approximately 58% [5]. In AI chat interfaces like ChatGPT and Perplexity, users click on web results 75% less often compared to traditional search [6].

Source: Dataslayer, Superlines, Conductor

Data as of Mar 1, 2026CSV

Sixty percent of Google searches now end without any click to a website, up from 58% in 2024 [2]. And 93% of AI search sessions end without a website click at all [5].

Who Gets Hurt Most

The damage is not evenly distributed. Informational and educational content — queries seeking factual answers, definitions, tutorials, comparisons, or how-to guidance — triggers AI Overviews most frequently [2]. This hits publishers, educational platforms, and content-driven businesses hardest.

Commercial queries with transactional intent — people actively looking to buy something — see fewer AI Overviews, though this is gradually changing [2]. E-commerce businesses have been somewhat shielded so far, but the expansion of AI summaries into product comparison and recommendation queries threatens that buffer.

Small independent retailers and local service providers face a different problem. They lack the brand recognition and third-party mentions that AI systems use to determine which sources to cite. Eighty-five percent of brand mentions in AI-generated answers come from external sources like listicles, comparison articles, review roundups, and forums [6]. A local plumber or independent bookshop is unlikely to appear in those sources, making them largely invisible to AI search.

The Rise of AEO: A New Industry Built on Anxiety

Into this disruption has stepped a fast-growing advisory market. "Answer Engine Optimization" (AEO) and "Generative Engine Optimization" (GEO) — the practice of structuring content so that AI platforms select it as a cited source — have become the dominant buzzwords in digital marketing [7].

The numbers suggest rapid adoption at the enterprise level. A Conductor survey of over 250 enterprise CMOs found that 98% now prioritize AEO, with enterprises allocating an average of 12% of their total digital marketing budgets to AEO/GEO strategies [4]. Ninety-four percent plan to increase those investments in 2026 [4]. AEO/GEO ranked as the number-one strategic marketing priority for 2026 [4].

Source: Mordor Intelligence, Conductor

Data as of Jan 1, 2026CSV

The AEO/GEO market was valued at $848 million in 2025, and is projected to reach $33.7 billion by 2034 [8]. Meanwhile, AI search advertising is growing from $1 billion in 2025 to a projected $25.9 billion by 2029 [8]. The enterprise AEO tool category alone has attracted over $200 million in disclosed venture funding, led by Profound at $55 million across two rounds [9].

Source: eMarketer, Research & Markets

Data as of Apr 1, 2026CSV

Academic interest has tracked this commercial growth. Research publications on "generative engine optimization" surged from 1,451 papers in 2019 to 15,955 in 2025, according to OpenAlex data.

Source: OpenAlex

Data as of Jan 1, 2026CSV

But the Conductor survey deserves scrutiny. It was produced by a company that sells SEO and content optimization software — and which has a direct financial interest in enterprises spending more on AI search strategies. The 97% of respondents who reported "a positive impact" from AEO/GEO [4] were, by definition, already investing in these strategies and likely predisposed to justify those investments. Independent, peer-reviewed evidence of AEO effectiveness remains limited.

What Actually Works — and What Doesn't

The tactical advice being sold to businesses typically includes several elements: implementing structured data markup (particularly FAQ schema), maintaining fresh content, building brand mentions in third-party sources, and optimizing for direct answers to specific questions [7].

Some evidence supports these recommendations. Pages with FAQ schema are reportedly 3.2 times more likely to appear in Google AI Overviews compared to pages without structured data [7]. Content cited by AI systems is 25.7% fresher on average than content cited in traditional organic results, and 76.4% of ChatGPT's top 1,000 cited pages had been updated within the previous 30 days [8]. Seventy-six percent of AI Overview citations come from pages already ranking in the top 10 organic results [7].

That last statistic is revealing: it suggests that for now, traditional SEO authority still matters, and AEO is less a replacement than a supplement. The content that AI systems cite tends to be content that already performs well in traditional search. This complicates the narrative that AEO represents an entirely new discipline requiring entirely new spending.

Further complicating matters is the instability of AI citations. AI Overview content changes roughly 70% of the time for the same query, and when the answer updates, almost half of the citations are replaced with new sources [5]. Only about 30% of brands remain visible in back-to-back AI responses for the same query [5]. This volatility makes it difficult to measure the return on any specific AEO investment, and it means that "optimizing" for AI citation is in some ways a moving target.

The Licensing Divide

A separate tier of the market has emerged around content licensing deals. News Corp signed a multi-year agreement with OpenAI reportedly worth up to $250 million in cash and credits over five years [10]. The Atlantic and Vox Media signed deals making their content discoverable within ChatGPT [10]. Reddit struck agreements with both Google ($60 million per year) and OpenAI (roughly $70 million per year), and has become the most-cited source in AI models — three times more than Wikipedia, according to Profound AI [11].

These deals create a two-tier system. Licensed publishers get guaranteed visibility and compensation on one platform. But as one analysis noted, licensing with OpenAI does not protect visibility in Claude, Gemini, Perplexity, or Grok [12]. A publisher licensed to one AI platform may still be invisible, misattributed, or hallucinated on every other platform [12].

For the vast majority of businesses, licensing is not an option. The deals are concentrated among large media companies with proprietary content worth paying for. Small and mid-size businesses, local service providers, and independent publishers must rely on AEO tactics alone — with uncertain results.

The Steelman Case: AI Search May Help Some Businesses

Not all the data points toward disaster. There are credible arguments that AI search disruption is overblown for businesses that adapt effectively.

The most striking counterpoint: AI-referred visitors convert at 4.4 times the rate of standard organic visitors [7]. One study found that visitors from AI search platforms generated 12.1% of signups despite accounting for only 0.5% of overall traffic — meaning AI search visitors converted 23 times better than traditional organic search visitors [6]. AI search traffic to websites grew 527% year over year according to Semrush [5].

The explanation is intuitive. Users who arrive at a website via AI search have typically already researched their options and narrowed their choices. They land further along in the decision-making journey [6]. The traffic volume is smaller, but the quality — measured by purchase intent and conversion — is higher.

Additionally, 40–55% of consumers in top sectors including consumer electronics, grocery, travel, and financial services now use AI-based search specifically to make purchasing decisions [6]. AI search engines also introduce brands that users have never heard of, synthesizing recommendations from third-party sources [6]. For brands with strong review profiles and community engagement, AI search can function as a discovery channel that traditional search never was.

The question is whether these quality gains compensate for the sheer volume of lost traffic. For many businesses, especially those that monetize through advertising rather than direct sales, the answer so far has been no.

Who Profits From the Panic

The emergence of AEO as a marketing category has created substantial financial opportunities for vendors and consultants. The tool market alone has absorbed over $200 million in venture capital [9]. Agencies that previously sold SEO services have rebranded around AEO/GEO, and a new wave of specialized consultants has emerged [9].

This creates an inherent conflict of interest. The firms quantifying the threat of AI search — through reports, benchmarks, and market size projections — are often the same firms selling solutions to that threat. Conductor's widely cited CMO survey, for example, finds overwhelming demand for AEO investment [4]. Conductor sells the software to execute those strategies. Superlines, which publishes detailed AI search statistics [5], is itself an AI search intelligence platform competing for the same enterprise budgets it documents.

This does not make their data wrong. But it does mean that businesses should evaluate these projections with the same skepticism they would apply to any vendor-funded research. Independent verification of AEO effectiveness — through controlled experiments or academic research rather than vendor case studies — remains sparse.

The Global Picture: Not Everyone Is on the Same Timeline

AI search adoption varies widely across markets. In the United States, 46% of individuals have used generative AI tools [13]. In Japan, that figure is just 9% [13]. Japan attracted only $700 million in private AI investment in 2023, compared to $67.2 billion in the United States [13].

Regulatory approaches also differ substantially. The EU's AI Act, which entered into force in August 2024 with obligations phasing in through 2027, enforces transparency requirements including informing users when they are interacting with AI systems or encountering AI-generated content [13]. Japan's AI Promotion Act, enacted in May 2025, takes the opposite approach — explicitly avoiding punitive measures and favoring voluntary compliance and innovation-driven growth [14].

These regulatory differences have direct implications for how AI search operates in different markets. EU transparency requirements could affect how AI Overviews are presented to European users, potentially preserving more click-through behavior if users are made aware they are reading an AI summary rather than a direct answer.

Antitrust Scrutiny and Market Concentration

In December 2025, the European Commission opened a formal antitrust investigation into whether Google breached EU competition rules by using content from web publishers and YouTube to train its AI search features — without adequate compensation or opt-out options [15]. The investigation also examines whether Google unfairly restricts rival AI companies from using YouTube content for their own models [15].

This is the fifth EU antitrust probe to target Google [15], and it could result in fines worth up to 10% of the company's annual global revenue [16]. The case reflects a broader concern: if AI search engines increasingly surface a narrow set of "authoritative" sources, they may entrench large incumbents at the expense of smaller competitors.

The concentration risk is real. AI systems tend to cite content from domains that already rank highly in traditional search, creating a feedback loop that benefits established players. Reddit's dominance as the most-cited source in AI models [11] illustrates how platform effects can amplify existing market positions. Publishers and businesses without significant existing authority face an increasingly steep barrier to visibility.

In the United States, while the Department of Justice has pursued antitrust cases against Google related to traditional search, AI-specific market concentration has not yet been the focus of formal regulatory action. The EU is ahead on this front, though the investigation is in early stages and outcomes are uncertain.

What Comes Next

The marketing industry is in the early stages of a structural transition. The $74.9 billion traditional SEO market [1] will not disappear overnight — organic search still drives the majority of web traffic, and AI Overviews appear on only a quarter of queries [4]. But the trajectory is clear: AI summaries are expanding, click-through rates are falling, and businesses that depend on search-driven traffic need a strategy for a world where the search results page increasingly answers the question itself.

Whether the emerging AEO industry delivers genuine value or primarily capitalizes on corporate anxiety remains to be seen. The most honest assessment is that nobody — not the vendors, not the consultants, not the platforms themselves — fully understands how AI citation algorithms work or how to reliably influence them. The businesses spending 12% of their digital budgets on AEO are making a bet, not following a playbook.

For regulators, the stakes extend beyond marketing budgets. If AI search consolidates online visibility among a small number of platforms and licensed content partners, the effects on market competition, media diversity, and small business viability could be significant. The EU's investigation into Google is a first step, but the regulatory framework for AI-mediated information markets is still largely unwritten.