AI search engine Perplexity is facing a class-action lawsuit, as its "incognito mode" is accused of being ineffective, with users' chat records being fully shared with Google and Meta for ad targeting. The lawsuit was initiated by an anonymous user, who claims that Perplexity has committed serious privacy violations, calling its so-called privacy protection measures a scam.
According to the complaint, all conversation content is automatically shared with Google and Meta regardless of whether users are logged in or have enabled privacy protection, exposing personal information to advertisers. Investigations also found that Perplexity's platform includes trackers such as Facebook Meta Pixel and Google Ads, and even uses Meta's "Conversions API" technology, which is commonly used to bypass ad blockers and secretly collect user data.
The lawsuit further states that the trackers not only record users' initial questions but also capture subsequent interaction content, leading to the leakage of large amounts of sensitive information. The plaintiff said he once consulted on tax and investment decisions on Perplexity, but now realizes that these conversations containing personal financial data have been obtained by third parties. The lawsuit claims that Perplexity never clearly informed users that their conversations would be shared, nor did it provide a link to the privacy policy on its homepage, making it difficult for users to detect this hidden data transmission behavior.
This incident has attracted widespread attention, especially against the backdrop of growing concerns over user data privacy. Many people have questioned their trust in Perplexity and called for stronger regulation of AI technologies and data usage to protect users' privacy rights.
Key Points:
📉 Perplexity is facing a class-action lawsuit due to false privacy protection measures.
📊 User chat records are suspected to be fully shared with Google and Meta, seriously violating privacy.
🛡️ The complaint accuses Perplexity of not clearly informing users about data sharing and lacking transparency.
