Changes in Search Behavior: AI Language models as sources of referral traffic

Article image Changes in Search Behavior: AI Language models as sources of referral traffic
Article image Changes in Search Behavior: AI Language models as sources of referral traffic
Publication date:12.09.2025
Blog category: Web Technology News

The analysis used data of more than 30 websites that showed that Perplexity and Chatgpt would be released as alternatives to traditional search engines. Previsible founder, David Belle, believes that Google is stagnant: "Google's growth has actually stopped and has begun to undermine its dominance.

"Google is basically plateaued and has Begun to have its Search Dominance Degraded. The Reason Being Is That People Are Starting to Use Chatgpt, Claude, CO-POPILEN INTENT. ”

🚀 Research has shown that Perplexity and Chatgpt control approximately 37% of referral traffic from AI language models, while Copilot and Gemini follow them with 12-14% of each. It is worth noting that the financial sector is dominated by referral traffic from AI language models, making 84% of all analyzed referrals.

🚀 Concerning the distribution of content, the study showed that blog posts receive 77.35%of referral traffic from AI language models, which follow the home page (9.04%), news (8.23%) and Gaida (2.35%).

  • 📌 The key research detections include: financial websites see the most activity of referrals from AI language models, with a blog content that receives a majority of visits; Product pages are rarely included in the results of AI of language models, which indicates the need to adjust e -commerce strategies; Growth rates are significant, potentially reaching 20% ​​of the total traffic during the year, if the current trends continue.
Q: What are AI language models? A: AI language models are programs that use artificial intelligence to generate text that corresponds to incoming request. Q: What is referral traffic? A: Referral traffic is a visit to the website that comes from other websites rather than search engines. Q: How does a change in search behavior affect marketing strategies? A: Changing search behavior requires marketers to adjust their strategies to take into account the new channels through which users find their websites.
🧩 Summary: Changing search behavior, including increasing the use of AI language models to generate referral traffic, requires marketers and website developers taking into account these new channels in their strategies. However, it is important to remember that although AI language models are becoming new sources of web traffic, they currently account for only about 0.25% of total traffic in the most difficult sectors. Therefore, it is important to approach balanced traffic and optimize your strategies.
🧠 Own considerations: attracting traffic from AI language models can open up new business opportunities, but also puts new challenges. In order to take into account these trends, marketers and website developers, you need to actively work actively to improve their content and e-commerce strategies so that they meet changes in user behavior. In addition, it is important to evaluate the effectiveness of these strategies using traffic analytics to provide the best results.

Comments

UXNinja Avatar
Цікаво, але я б не поспішав з висновками. АІ моделі можуть бути зручні в окремих випадках, але традиційний пошук все ще може бути більш ефективним для глибшої інформації. Хоча трафік з АІ зростає, важливо зрозуміти, що його використання потребує критичного мислення та перевірки фактів.
12.09.2025 07:00 UXNinja