Cloudflare, Inc. (NYSE: NET) and OpenAI announced a research pilot aimed at exploring whether network-level signals from Cloudflare's infrastructure can help AI search engines index and crawl web content more accurately and efficiently.

The pilot will use real-time data from Cloudflare's global network, including content freshness, traffic quality, and page change signals, to test whether such insights can improve the timeliness and accuracy of answers delivered through OpenAI's search systems, including ChatGPT.

Cloudflare says more than 20% of the web sits behind its network, giving it visibility into how content changes and how traffic behaves in real time. OpenAI will contribute its search infrastructure and real user queries to the project.

"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.

Nick Ryder, VP of Research at OpenAI, said in a statement: "Up-to-date information is important for delivering accurate answers to people using ChatGPT. Piloting this with Cloudflare will allow us to explore whether network-level insights can help us discover content more efficiently."

The announcement was made according to a press release issued by Cloudflare.