As GPT-5 officially enters the application phase, OpenAI's data collection efforts on the global internet have reached an unprecedented level. Latest industry monitoring data shows that since the release of the new model in August 2025, the activity of OpenAI's crawler programs has increased by about 300%, indicating its extreme hunger for real-time information and high-quality training data.

OpenAI, artificial intelligence, AI

This change marks a new stage in AI competition characterized by "deep data mining." Analysts point out that OpenAI is using frequent network scans to ensure its models can more accurately capture global dynamics, thus maintaining its leading position in the field of generative AI.

Search crawlers dominate

In various data collection tools, the "OAI-SearchBot," specifically designed for real-time content retrieval, has shown the most impressive performance. Data shows that the number of log events from this robot has officially surpassed that of the "GPTBot," which is responsible for traditional model training, reflecting ChatGPT's shift towards providing more timely search feedback.

This strategic shift is particularly evident in the medical, media, and publishing industries, where the number of crawler visits to related websites has increased several times. OpenAI seems to be optimizing its processing logic, directing news-related queries to real-time search while handing professional knowledge requests to pre-trained models.

Industry patterns are rapidly reshaping

Although OpenAI's data collection scale has expanded significantly, it still lags behind traditional search giants like Google. Currently, the total number of OpenAI's crawlers is about 4% of Google's. Although the absolute number is still not enough to challenge the latter's position, the gap between the two is narrowing at an astonishing speed.

For website operators, this trend brings new choices: blocking crawlers may protect data, but it also means being excluded from the traffic entrance of AI search. In 2026, as AI technology evolves rapidly, how to balance data copyright and AI search visibility has become a common challenge faced by the content industry.