Can ChatGPT Compete with Google? The Future of Search in 2025

While ChatGPT has gained significant momentum with its conversational interface and advanced AI capabilities, these very strengths may pose challenges in adapting search users to its platform. Let’s explore the hurdles AI platforms face as they strive to compete with Google’s entrenched search engine supremacy.

Google vs. ChatGPT - Assessing Market Share and Trends

How can the future of search competition be understood without first examining the past?

To evaluate the competition between Google and ChatGPT in the search market, SEMRush’s Market Explorer tool was used to analyse direct traffic over the past six months. YouTube was included under Google, as its search functionalities align with Google’s broader ecosystem. Direct traffic was chosen as the primary metric because it reflects brand recognition, habitual use, and user intent - key indicators of platform loyalty.

Market Share (July-December 2024):

• Google.com: 777.2 billion visits (74.6%)
• YouTube.com: 395.4 billion visits (23.9%)
• ChatGTP.com: 19.7 billion visits (1.5%)

At first glance, ChatGPT’s share appears negligible. However, its rapid growth over the past year is striking. Between January and July 2024, ChatGPT’s direct traffic surged by an extraordinary 182K%, signalling increased user interest and adoption. In contrast, Google and YouTube showed more modest or stagnant growth trends during the same period.

This data highlights ChatGPT’s rise while underscoring the significant gap it must close to challenge Google’s entrenched dominance.

Beyond Search: The Murky Waters of ChatGPT’s Influence

Not all ChatGPT usage directly overlaps with Google search. For example, users may upload a spreadsheet and request ChatGPT to analyse trends. While this interaction is not a traditional search, it could potentially replace multiple Google searches on how to filter or analyse data.

This raises an important consideration: could exposure to ChatGPT’s broader capabilities create a comfort level that encourages its use for unrelated queries, including searches? While this hypothesis makes sense, concrete data is not yet available to answer definitively.

The Gap Between ChatGPT and Common Search Habits

AI has been heralded as a catalyst for a more conversational approach to search - or at least, that has been the prevailing theory.

In reality, most search queries remain simple, fragmented and not constructed in full sentences. Consider the example below, which demonstrates a typical search habit:

“Hot sauce no jalapeno”

This phrasing reflects how search engines like Google have conditioned users to communicate. Compare this to how one might naturally phrase the same request to a friend:

“I’m looking for a hot sauce that doesn’t use jalapenos because I’m allergic to them.”

The assumption was that conversational AI would disrupt such habits, ushering in a “great reckoning” for traditional search behaviours. Yet this shift has not occurred as anticipated - at least not in the way many envisioned.

Google’s Strength in Simple Queries

Google’s algorithm has long trained users to rely on concise, fragmented queries. Phrases like 'cheap flight NYC London' effectively convey intent without requiring full sentences. This efficiency has made Google an indispensable tool for quick searches.

Efficiency vs. Engagement

Here lies the trade-off: ChatGPT is designed as a conversational platform that prioritises engagement. However, engagement isn’t always what users want during a search.

When ChatGPT first captured public attention and mass user adoption began, it was assumed Google’s dominance might be in jeopardy. Yet, Google’s traffic actually increased between May 2023 and May 2024, highlighting an important insight: conversational AI platforms, such as ChatGPT, are not poised to replace Google as easily as some expected. Marketers weren’t reading the room, as they say.

ChatGPT’s design embraces human-like interactions, which contrasts sharply with traditional search behaviour. This fundamental difference explains why Google continues to thrive. Users generally do not perceive ChatGPT as a rapid-fire search mechanism for everyday queries.

A Tale of Two Queries: Simplicity vs. Conversation

Consider the stark contrast between a traditional search query and a conversational one:

• Traditional search: “Best restaurants near me”
• ChatGPT-style query: “Can you Can you recommend some great restaurants near me with outdoor seating and live music? I’m planning a date night.”

The former is direct and concise, while the latter prioritises personalisation and context. Google excels at serving the former, which represents the majority of search habits.

Trends Unchanged by ChatGPT

Google Trends data further illustrates this. The screenshot below, taken in January 2025, displays a normal fluctuation in search activity for restaurant-related queries. The green arrows mark seasonal peaks, such as the summer months of July. This data suggests that user behaviour has remained consistent, even in the face of ChatGPT’s growing popularity.

Most users continue to default to simplicity, even as conversational tools become more available. Decades of Google shaping user expectations around concise inputs and accurate results have left a lasting impact - one that conversational AI has yet to overcome.

Financial and Political Woes

In early 2023, then-President Biden tested ChatGPT and publicly expressed his admiration for its capabilities. During this interaction, he asked it to write a legal brief for a Supreme Court case and compose a rock song - demonstrations that both impressed and raised concerns.

This event spurred Biden to sign an executive order on AI safety, aimed at addressing the economic impact of AI systems, including their high energy consumption and operational costs.

In contrast, President Trump, upon his election, announced a $500 billion AI investment plan prominently featuring OpenAI’s founder, Sam Altman.

Despite contrasting approaches, one issue remains constant: the high cost of running AI systems continues to be a significant barrier to widespread adoption, particularly for smaller businesses and governments. Unlike Google’s search platform - which grew largely free from regulatory friction during its early years - AI platforms must navigate a more complex political landscape globally during their infancy.

Why Does This Matter?

The same conversational and interactive features that make AI an impressive tool also hinder its scalability due to high operational costs. Nearly all AI platforms offer upgraded, paid plans, but even these may not suffice to offset expenses.

For instance, ChatGPT’s current pro plan, priced at $200 per month, failed to break even in 2024, with OpenAI incurring a staggering $5 billion in losses. This highlights a central challenge: Can AI platforms afford to offer free services to attract mass adoption, especially for the basic, everyday queries that dominate search habits?

Consider this: users are accustomed to searching for 'hot dog shops near me' without paying a dime. If platforms like ChatGPT cannot entice users with free or low-cost options for such queries, they risk remaining a niche tool rather than a widely adopted alternative.

Leaving this issue to government intervention is unlikely to provide a quick resolution. Regardless of political alignment, major initiatives take years to materialise, further delaying AI’s path to mass adoption.

This raises an inevitable question: why doesn’t ChatGPT simply provide search results in the same way Google does?

Integrating Simplistic Search Mechanism Into AI Platforms

Not everyone enjoys typing out conversational and thoughtful queries when searching for something as straightforward as “hot sauce that doesn’t trigger allergies.” Similarly, it may be prohibitively expensive for AI platforms to process complex queries for something as simple as listing “10 non-jalapeno hot sauces.”

So, why not integrate the simple keyword search foundations that users are accustomed to into AI platforms?

Well, this is already happening, though without as much fanfare (depending on who you ask).

Last year, OpenAI announced SearchGPT, a product that utilises the familiar ChatGPT interface while delivering results that resemble Google’s search engine results pages (SERPs). Before this, Perplexity, a self-proclaimed free AI-powered answer engine, gained traction for attempting to blend conversational and traditional search.

Perplexity’s interface combines elements of conversational AI with the simplicity of traditional search. Officially launched in August 2022, it fully rolled out in January 2023 as the 'ask engine' demonstrated above.

Using SEMRush, we can estimate its traffic trends:

Perplexity currently garners an estimated 750K clicks per month. While that figure might sound promising, it is minimal in the broader search landscape.

For comparison:

• ChatGTP: Estimated 5M monthly searches
• Google: Estimated 531M monthly searches

Recognising the challenge, OpenAI became self-aware (pun intended) of the situation and aggressively pursued its own hybrid product, SearchGPT. However, this too has struggled to gain traction.

The Bigger Issue: Becoming Just Another Search Engine

As AI platforms adopt simpler search mechanisms, they risk losing their unique value. By reducing interactive, collaborative and human-like features to mimic Google, they begin to resemble yet another search engine. This presents a critical challenge: becoming indistinguishable from traditional competitors in a space already dominated by Google.

A long list of search engines have tried and failed to rival Google, even with unique features:

• Bing: The most successful competitor, yet still a distant second.
• Yahoo: Once the go-to search engine, outsourced its technology to Microsoft Bing in 2009.
• DuckDuckGo: Marketed as a privacy-focused alternative, yet holds less than 1% market share.
• Ask Jeeves: Launched in 1996 with a conversational approach but couldn’t match Google’s scalability.
• Baidu: Dominates China but has little influence outside its borders.

Despite their differing efforts - privacy, sustainability or regional focus - none managed to dethrone Google’s relevance, speed or ecosystem integration.

Why Conversational AI Must Stand Apart

This leaves AI platforms with a strategic challenge. To avoid becoming just another Google, they must focus on selling the conversational experience, rather than mimicking simplistic search models. However, as explored earlier, this strategy comes with its own set of hurdles:

• Cost: Offering high-quality, interactive experiences remains expensive.
• Politics: Government regulations and initiatives add complexity to AI adoption.
• User Habits: Decades of Google use has entrenched simple, keyword-based search behaviours.

To carve out a meaningful share of the search landscape, AI platforms must innovate in ways that differentiate them from Google, rather than emulate it.

What This Means for Marketers and Brands

The rise of AI-driven search alongside Google’s dominance signals a shift in how users discover content. Marketers must balance traditional SEO with AI-friendly strategies to stay visible.

Adapt Content for AI & Google:

Conversational AI favours natural, human-like language. Optimising content for both AI-driven queries and Google remains crucial. Blog posts, FAQs, and structured data can enhance visibility across platforms.

Leverage Bold Storytelling:

Authentic, unconventional messaging helps brands stand out. For example, 19 Crimes’ partnership with UFC disrupted traditional beverage marketing, proving that creative narratives engage audiences and challenge norms.

Invest in Engaging Formats:

User attention is fragmented across search engines and AI tools. High-quality videos, infographics and interactive media help capture interest. The 9Rooftops Wild Wonders campaign for South Carolina tourism exemplifies how immersive visuals foster authentic connections. Additionally, you can pair high-quality, engaging content formats with email marketing strategies to nurture leads and build deeper relationships with audiences.

Prioritise Trust & Authority:

Users gravitate toward reliable sources. Upholding E-A-T principles (Expertise, Authoritativeness, and Trustworthiness) strengthens content performance across AI and traditional search platforms. By balancing AI-driven engagement with proven SEO strategies, brands can navigate this evolving digital landscape and maintain relevance.