Fix Wrong Information About Your Brand in DeepSeek

Learn how to identify and correct inaccurate information about your brand in DeepSeek responses. Step-by-step guide to improving AI accuracy.

DeepSeek thinks your B2B software costs $99/month when you switched to enterprise-only pricing last year. It's telling users you're based in San Francisco when you moved to Austin in 2023. And unlike other AI models, DeepSeek's training cutoff means these errors stick around longer. You can't email DeepSeek to fix this, but you can influence what it learns.

The Problem

DeepSeek's knowledge comes from its training data, which has specific cutoff dates and gaps. When it encounters incomplete information about your brand, it often fills gaps with outdated facts or confident guesses. These errors compound because users trust AI responses without verification.

The Solution

DeepSeek learns from authoritative web sources during training. By systematically updating these sources with accurate, current information about your brand, you influence future model updates. The trick is knowing which sources DeepSeek weighs most heavily and structuring your corrections for maximum impact.

Test DeepSeek's current knowledge about your brand

Ask DeepSeek direct questions: 'What does [Brand] do?', 'How much does [Brand] cost?', 'Where is [Brand] headquartered?'. Document every response. You'll find a pattern: recent changes missing, old pricing stuck, competitor details mixed in. This audit becomes your correction roadmap.

Trace wrong information to its sources

Search for the exact phrases DeepSeek uses. Check old press releases, outdated comparison sites, and stale directory listings. DeepSeek often combines multiple sources, so one wrong fact might come from three different places that all reference each other.

Update your official web presence comprehensively

Rewrite your About page, pricing pages, and company info with explicit, current facts. Use clear statements: 'Founded in 2021' instead of vague language. Add structured data markup so AI can parse facts cleanly. Include 'Last Updated' timestamps on key pages.

Fix authoritative third-party sources

Update Crunchbase, LinkedIn Company Page, and industry directories. If you have a Wikipedia page, update it with proper citations. Reach out to publications that covered outdated information. These high-authority sources significantly influence DeepSeek's training data.

Create targeted correction content

Publish blog posts or knowledge base articles that explicitly address misconceptions. Title them with the wrong information: 'Is [Brand] still $99/month?' then correct it clearly. This gives DeepSeek clear signals about what information is outdated.

Monitor changes and track progress

Test the same questions monthly. DeepSeek's knowledge updates don't follow a predictable schedule. Some corrections appear within weeks, others take months. Keep a spreadsheet tracking which errors persist and which sources you've updated.