Google for quick info, ChatGPT for in-depth information: This is how we will really search in 2025
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Xpert.Digital bei Google bevorzugenⓘPublished on: August 16, 2025 / Updated on: August 16, 2025 – Author: Konrad Wolfenstein

Google for quick information, ChatGPT for in-depth analysis: This is how we will really search in 2025 – Image: Xpert.Digital
Fewer clicks despite good rankings: This is the real reason – and the new solution – Key findings of the SEMrush study
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ChatGPT vs. Google: How AI is changing search behavior and what this means for digital strategies
The discussion surrounding ChatGPT as a potential threat to Google has taken a new turn. A comprehensive study by SEMrush, analyzing 260 billion lines of clickstream data between January 2024 and June 2025, paints a surprising picture of the interaction between ChatGPT usage and traditional Google search behavior.
The study examined two specific groups: a test group consisting of US users who used ChatGPT for the first time in the first quarter of 2025 but had no prior experience with the platform, and a control group of users who did not use ChatGPT at all. The researchers focused on desktop usage within the US and measured Google Search sessions 90 days before and after the first use of ChatGPT.
The results contradict the widely held substitution hypothesis: ChatGPT usage does not lead to a decrease in Google searches. Instead, the data support the expansion hypothesis – ChatGPT expands overall information-seeking behavior without replacing traditional search habits. In fact, there was even a slight increase in average Google Search usage after ChatGPT adoption.
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Different usage patterns and search behavior
The analysis of usage patterns reveals interesting patterns. In ChatGPT, 54 percent of all queries are made in standard mode, while 46 percent use the integrated search mode. The different prompt lengths are particularly revealing: In standard mode, ChatGPT queries average 23 words, while in search mode, only 4.2 words are used – an indicator that users revert to traditional, Google-like search strategies in search mode.
These findings illustrate that different tools are optimized for different needs. Google continues to dominate for current information, local search queries, and navigational queries. When someone searches for "Amazon," they want to navigate to the website, not receive a description of the company. ChatGPT, on the other hand, excels at complex research, analytical tasks, and creative projects, where its conversational capabilities and contextualization offer crucial advantages.
Current market position and demographic developments
The raw numbers still demonstrate Google's dominant market position. Google processes approximately 14 billion search queries daily, while ChatGPT handles an estimated 37.5 million search-like queries – a ratio of 373:1 in Google's favor. Nevertheless, Google recorded growth of around 20 percent in 2024, showing that even the established market leader continues to expand.
However, the demographic analysis reveals a significant generational shift: 54.85 percent of ChatGPT users are between 18 and 34 years old, while only 13.25 percent are older than 55. These digital natives are using AI tools not only for homework or creative projects, but increasingly for research that they previously would have conducted exclusively via Google. A Yext study from Germany shows that 70 percent of respondents use AI search solutions at least several times a week, with Generation Z appearing to have almost completely turned away from traditional search engines.
Impact on website traffic and user behavior
Google's introduction of AI-powered overviews is bringing measurable changes for website operators. Studies from German-speaking countries show an average decline in clicks of 17.8 percent since the introduction of these AI-powered overviews, with some websites even experiencing losses of up to 40 percent. Particularly alarming: While the visibility of websites in search results has hardly been affected (impressions fell by only 1.2 percent), the click-through rate dropped by 14 percent.
This development is leading to an increase in so-called "zero-click searches"—search queries where users find the answer directly in the search results without clicking on a website. Even before the introduction of AI summaries, this rate was around 59 percent in Europe; with AI summaries, this figure is rising further. The prominent placement of AI summaries amplifies this effect, as they appear at the top of the search results page and can occupy up to 90 percent of the screen on mobile devices.
Generative Engine Optimization as a new discipline
In response to these developments, Generative Engine Optimization (GEO) is establishing itself as a complement to traditional search engine optimization. GEO aims to design content in such a way that it can be optimally processed by AI-powered search engines and generative models and integrated into their responses.
The difference between SEO and GEO lies in their focus: While SEO aims to rank in traditional search results and generate clicks, GEO concentrates on being cited as a trusted source in AI-generated answers. This requires a different approach to content creation: Content must be structured, precise, and easily accessible to AI systems. Factors like EEAT (Experience, Expertise, Authoritativeness, Trustworthiness) become even more important.
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Diversify traffic: Protection against algorithm-induced shocks
Strategic implications for companies
The findings of the SEMrush study have far-reaching strategic implications. Companies need to expand their digital marketing strategies, not replace them. SEO remains a key component of online visibility, as Google continues to be the dominant search platform. At the same time, optimization for AI searches is gaining importance as user behavior and search patterns evolve.
A successful SEO strategy for 2025 combines classic SEO measures with GEO approaches. Specifically, this means that while keywords remain important, thematic relevance and semantic context gain in significance. Backlinks and domain authority are still crucial, but factors such as structured data, authority, and citability become more important for visibility in AI responses.
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Traffic channel diversification and monitoring
The distribution of traffic channels should be analyzed regularly to identify changes early on. Traditional channels such as organic search, direct traffic, email marketing, and social media are facing competition from AI-powered platforms. A balanced traffic mix reduces dependence on individual channels and offers protection against algorithm-driven fluctuations.
It is particularly important to monitor direct traffic, which can be influenced by other channels. For example, if users become aware of a brand through ChatGPT, they may later search directly for the website. These indirect effects are difficult to measure, but crucial for understanding the complete customer journey.
Developing content strategies for the AI era
Content strategies need to be adapted for the AI era. Instead of focusing solely on keyword density, content should be thematically comprehensive and contextually relevant. AI systems don't interpret content based on individual keywords, but rather on topics and their semantic relationships. This requires a more holistic approach to content creation.
Structured data is gaining importance as it helps AI systems better understand and categorize content. FAQ sections, clear heading structures, and precise answers to frequently asked questions increase the likelihood of being referenced in AI responses.
Measurability and KPI adjustment
Traditional SEO KPIs like rankings or visibility indices are losing their relevance when AI systems provide direct answers. New metrics need to be developed: Share of voice in AI responses, mentions in generative search results, and brand visibility across various AI platforms are becoming key indicators of digital market presence.
The challenge lies in defining and measuring these new metrics. While traditional web analytics tools can measure traffic, conversion rates, and engagement, sophisticated tools for measuring AI visibility are still lacking.
Technical requirements and infrastructure
The technical website infrastructure must be optimized for AI crawlers. Loading times, mobile optimization, and the delivery of information without JavaScript are becoming even more important, as AI systems prefer structured and readily accessible information. Schema markup and structured data help AI systems better understand and process content.
At the same time, companies must ensure that their content is consistent and discoverable across different platforms. This means not only website optimization, but also a presence on platforms like LinkedIn, Reddit, or industry-specific forums where AI systems gather information.
Long-term market development and forecasts
Long-term trends point to a coexistence of different search paradigms. Google is expected to remain the dominant platform for transactional and navigational searches, while AI systems will gain importance for complex, analytical, and creative queries. This development requires companies to adopt a flexible, multi-channel approach.
Experts predict that AI-powered insights will reach more than one billion users by the end of 2025. This expansion will further increase the importance of GEO and force companies to adapt their content strategies accordingly.
Recommendations for practical application
The practical recommendations stem from the study results: Companies should expand their SEO strategies, not replace them. Google remains a central channel and requires continuous optimization. At the same time, new platforms and AI systems must be integrated into the strategy.
Systematic monitoring of traffic channels helps to identify changes early and react accordingly. Investing in structured data, authoritative content creation, and a multi-platform presence pays off for both traditional SEO and GEO.
The future of online search will be shaped by the intelligent combination of various strategies. Companies that master both traditional SEO and GEO will be best positioned in the evolving digital landscape. The SEMrush study shows that ChatGPT doesn't replace Google, but rather expands the entire spectrum of information search – and this expansion offers new opportunities for strategically minded companies.
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