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A recent study by Previsible highlights a shift in search behavior, with AI language models like ChatGPT and Perplexity gaining traction as referral traffic sources. The analysis indicates that traditional search engines, particularly Google, are experiencing stagnation in growth as users increasingly turn to AI tools for their search needs. This trend suggests a significant change in how people seek information online, with various AI models providing alternative solutions to traditional search methods.
The study reveals that the finance sector is particularly benefiting from this shift, accounting for a substantial portion of LLM-driven traffic. With blog content receiving the majority of visits, businesses are encouraged to adapt their strategies to optimize for AI traffic, especially as product pages struggle to gain visibility. The potential for AI referral traffic to grow significantly over the next year presents both challenges and opportunities for companies navigating this evolving landscape.
• AI language models are emerging as alternatives to traditional search engines.
• Finance sector dominates LLM-driven traffic, accounting for 84% of referrals.
AI language models like ChatGPT and Perplexity are increasingly used for search queries.
Referral traffic from AI models is reshaping how users access information online.
CRO strategies are essential as product pages receive minimal traffic from AI models.
Previsible conducted the study analyzing the impact of AI language models on search behavior.
ChatGPT is highlighted as a leading AI tool driving significant referral traffic in various sectors.
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