What is DVbot?
DVbot is a web crawler operated by DoubleVerify, a digital advertising verification and measurement company that helps advertisers and publishers assess traffic quality and brand safety. User agent strings associated with DVbot — such as “Mozilla/5.0 (Windows NT 6.3; compatible; DVbot/1.0; +http://www.doubleverify.com)”
— identify it as an automated crawler rather than a browser. DoubleVerify’s technology is designed to detect invalid traffic, measure ad viewability, and help remove or alert on impressions that do not meet quality and safety standards. Crawlers of this type typically visit publicly accessible web pages to gather signals that support those verification and reporting systems, not to index sites for search engines.
While DoubleVerify does not publish detailed public documentation about DVbot itself, the company’s broader services focus on identifying and classifying various types of digital traffic, including bots and non-human activity, as part of quality measurement workflows. DoubleVerify’s fraud-detection and verification technologies process signals from user agents, IPs, and page responses to help advertisers understand whether their media placements are legitimate and brand-safe. This means DVbot’s activity is best understood in the context of ad verification and analytics, where crawlers collect data to support accuracy in measurement rather than serve typical crawling or indexing roles such as those of search engines or AI-training bots.
— identify it as an automated crawler rather than a browser. DoubleVerify’s technology is designed to detect invalid traffic, measure ad viewability, and help remove or alert on impressions that do not meet quality and safety standards. Crawlers of this type typically visit publicly accessible web pages to gather signals that support those verification and reporting systems, not to index sites for search engines.
While DoubleVerify does not publish detailed public documentation about DVbot itself, the company’s broader services focus on identifying and classifying various types of digital traffic, including bots and non-human activity, as part of quality measurement workflows. DoubleVerify’s fraud-detection and verification technologies process signals from user agents, IPs, and page responses to help advertisers understand whether their media placements are legitimate and brand-safe. This means DVbot’s activity is best understood in the context of ad verification and analytics, where crawlers collect data to support accuracy in measurement rather than serve typical crawling or indexing roles such as those of search engines or AI-training bots.
Total recordings for dvbot: 603