The use of artificial intelligence (AI) tools has had a major impact on web traffic over the past year, causing it to rise more than 50% across AI tool sites such as ChatGPT, Canva, and Google Translate. The surge is due to an escalating use of AI tools, which are beginning to take hold as an essential part of digital workflows.
Web traffic to AI tool sites grew from 7 billion visits in February 2024 to 10.53 billion visits in January 2025, a 50.43% increase. The research was conducted by the AI tools directory aitools.xyz, which analyzed 10,500 AI tools across 171 categories in its study.
The data shows where user engagement is focused and which tools are driving AI adoption across various industries. AI-powered chatbots hold a dominant position in the market.
Among chatbots, ChatGPT leads in web traffic with 4.7 billion visits, which comprises 44.6% of total AI tool traffic. ChatGPT was followed by Canva with 8.42% growth in website traffic to 886.9 million visits, and then Google Translate with 5.65% growth to 594.8 million visits as of February.
Ranking fourth in market share by number of monthly visits was DeepSeek, a Chinese AI startup focused on large language models. It had 267.9 million visits, but it stands as the fastest-growing AI tool with greater than two-thousand percent (2026%) growth in the last month.
The most significant increase among AI tool web traffic took place between September and October 2024, when traffic soared from 8.98 billion to 10.27 billion (a 14.40% increase). This phase of AI adoption in the fourth quarter was likely fueled by greater enterprise integration, the debut of new AI-powered solutions, and rising consumer interest, the study said.
Co-founder of aitools.xyz Sujan Sarkar, said about the AI web traffic findings: “As AI evolves, user preferences will drive a more diverse ecosystem, where adaptability and specialization reshape market leadership. At this pace, AI tools could realistically surpass 12 to 13 billion monthly visits by early 2026, reinforcing AI’s role as an essential part of digital workflows.”
Telecom providers are discovering various applications for generative AI in every part of their business — especially customer service — and many top operators are broadly experimenting. One reported having 500 use cases ranging from developer support and agent assistance to specialized telecom-specific large language models for network automation.
