Research pilot combines Cloudflare’s global network signals with OpenAI’s frontier search capabilities
Cloudflare, Inc. (NYSE: NET), the leading connectivity cloud company, today announced Cloudflare and OpenAI are launching a first-of-its-kind research pilot to explore how insights from participating websites across Cloudflare’s global network can help AI search engines discover and index relevant content on the open web more effectively. The pilot is specifically focused on improving the accuracy and timeliness of answers. By using Cloudflare’s real-time network insights—such as content freshness, traffic quality, and actual page changes—the project aims to improve AI systems’ indexing and crawling of the web.
“By sharing our sophisticated network signals, we can find a better way to make AI search more efficient and help people get quality answers faster,” said Matthew Prince, co-founder and CEO of Cloudflare.
Cloudflare’s global network, which more than 20% of the web sits behind, gives it a unique vantage point into how content changes and how traffic behaves in real time. OpenAI brings frontier models, a large-scale search and answer system, and real user queries to test. Together, the companies will examine how signal-driven crawling and indexing can improve accuracy and freshness in answers.
“Up-to-date information is important for delivering accurate answers to people using ChatGPT,” said Nick Ryder, VP of Research at OpenAI. “Piloting this with Cloudflare will allow us to explore whether network-level insights can help us discover content more efficiently.”
The post Cloudflare, OpenAI Team Up for Research Initiative first appeared on AI-Tech Park.
