The AI search engine Perplexity is facing a lawsuit that claims its Incognito Mode fails to protect user privacy, as sensitive data is allegedly shared with tech giants Google and Meta without user consent.
Allegations of Data Sharing
The lawsuit, filed by an anonymous user identified as John Doe, asserts that all users, regardless of account status, have their prompts and chat sessions shared with Google and Meta. The complaint highlights that both subscribed and non-subscribed users are affected, with non-subscribed users facing greater risks as their initial prompts can be accessed through a URL shared with third parties.
Privacy Violations and User Concerns
Doe’s complaint describes the situation as a violation of state and federal laws, accusing Perplexity of using ad trackers that operate without user knowledge. He expressed dismay upon discovering that sensitive information, including financial details, was shared with these companies. The lawsuit emphasizes that users often rely on Perplexity for sensitive inquiries, including legal and medical advice, raising significant privacy concerns.
Implications for Perplexity and Tech Giants
The lawsuit suggests that Perplexity’s privacy policy is not adequately disclosed, as users must search for it independently. This contrasts with other search engines that provide clear links to their privacy policies. The complaint argues that Perplexity’s failure to inform users about data sharing practices is reckless and malicious.
Potential Consequences and Legal Ramifications
If the lawsuit succeeds, Perplexity, Google, and Meta could face substantial fines, with potential statutory damages exceeding $5,000 per violation. The proposed class action covers users whose chats were allegedly shared between December 7, 2022, and February 4, 2026, excluding paid subscribers. Doe seeks injunctive relief and restitution, highlighting the need for transparency in data handling practices.
As the case unfolds, it raises critical questions about user privacy in AI systems and the responsibilities of tech companies to protect sensitive information.
This article was produced by NeonPulse.today using human and AI-assisted editorial processes, based on publicly available information. Content may be edited for clarity and style.
