Include DeepSeek in a reputation audit by recording what a specific service actually answered under documented conditions. Do not treat one response as a permanent public profile or assume that the consumer application, API, and third-party integrations behave identically.
01
Define a reproducible observation
Record the product or integration, date, language, exact prompt, visible model information, and any search or source features used. Save the complete answer and relevant preceding context privately. Test ordinary questions a real customer might ask without inserting a harmful allegation merely to provoke it. Avoid uploading confidential client documents or unnecessary personal information during the audit.
02
Verify each disputed statement
Check names, dates, affiliations, and citations against reliable records. A link in an answer is not proof that the linked page supports the claim. Distinguish an incorrect factual statement from an opinion or an answer that simply lacks detail. DeepSeek's current privacy policy itself cautions that generated output may be inaccurate, so confidence and fluency should not determine your assessment.
- Preserve the exact inaccurate passage and supporting correction evidence.
- Note whether the answer repeats in a fresh, comparable test.
- Keep consumer-app observations separate from API observations.
03
Use the appropriate feedback route
DeepSeek's privacy policy describes a route for requests about inaccurate personal data in output through its privacy contact, subject to applicable law and technical capability. Use current official instructions and provide only necessary information. A request is not a guaranteed model-wide correction. Also correct inaccurate information on sources you control, and document follow-up without claiming that one changed answer means the issue is resolved everywhere.
Frequently asked questions
Does an API test reproduce the public app?
Not necessarily. Model selection, system instructions, search access, and conversation context can differ. Label the environment rather than combining results as one universal answer.
Can we guarantee removal of a statement from every future response?
No. Record the request and observed changes honestly. A probabilistic system can produce varying answers, and review outcomes are not under an agency's control.
Continue with your next step
Related guides on this topic
Sources and policies
Check the current policy before submitting a request.
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Share the URLs and explain your concern. We will review the context and explain which options are worth assessing.
Request a confidential reviewOr call (307) 429-2531Educational information, not legal advice. Outcomes depend on the facts and decisions made by third parties.