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This page describes what the document states, permits, or reserves. It does not constitute a legal determination about enforceability. Regulatory applicability may vary by jurisdiction. Methodology
This document establishes Perplexity AI's data collection and use practices for its search and AI answer service. The policy authorizes collection of search queries, conversation history, device information, IP addresses, and account details, with provision for use of this data in AI model training and product improvement. Users in the EU and California are granted rights to request access, correction, or deletion of personal data through privacy@perplexity.ai.
This document is Perplexity AI's Privacy Policy, governing the collection, use, storage, and sharing of personal data from users of the Perplexity AI search and answer platform, with an implicit legal basis in user consent and legitimate interest as articulated through its disclosed data practices. The policy states that Perplexity collects identifiers (name, email, IP address), device and usage data, query content (search inputs and conversation history), payment information, and data from third-party integrations, and the terms authorize use of this data for service improvement, product development, personalization, safety, and marketing communications. Notably, the policy permits Perplexity to use submitted query content and interaction data to train and improve its AI models, a practice that is functionally broad in scope given that user queries may contain sensitive personal or professional information entered in a search context where users may not anticipate model training use; the agreement asserts this right, though applicable law in certain jurisdictions may impose consent or opt-out requirements not fully addressed by the policy. The policy engages GDPR for EU/EEA users, CCPA/CPRA for California residents, and general FTC consumer protection frameworks, with Perplexity asserting standard data subject rights (access, deletion, correction, portability) but relying on a self-reported compliance posture without specifying the full technical and organizational measures supporting those claims. Compliance teams should note the policy's relatively limited specificity around data retention periods, AI training data governance, third-party sharing mechanisms, and cross-border data transfer safeguards, all of which create audit exposure under GDPR and CCPA enforcement frameworks.
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2 versions captured · Last updated: May 2026
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