Understanding the correction challenge
AI misinformation can't be directly edited like a Wikipedia page. You can't call OpenAI and ask them to fix what ChatGPT says about you.
Instead, correction works indirectly: you improve the source material that AI uses, and over time, AI responses improve.
This is a months-long process, not a quick fix. Set realistic expectations.
Triage: What to fix first
Not all inaccuracies deserve equal attention. Prioritize by:
Business impact - Wrong pricing directly affects conversions
Frequency - How often does this appear across providers?
Severity - Minor detail vs. fundamental misunderstanding
Fixability - Some issues are easier to address than others
Focus on high-impact, high-frequency issues first.
Updating primary sources
Start with sources AI likely uses for training and retrieval:
Wikipedia - If you have an article, ensure accuracy. Follow Wikipedia's editing policies.
Crunchbase - Update company profile with current information
LinkedIn - Company page should reflect current details
Your website - Clear, structured, up-to-date content
These high-authority sources influence AI perception significantly.
Content corrections
For each misinformation type, create corrective content:
Wrong pricing? - Create a clear pricing page with structured data
Fake features? - FAQ explicitly listing what you do and don't offer
Confused with competitor? - Comparison page clearly differentiating you
Wrong founding date? - About page with explicit timeline
Make the correct information impossible to misinterpret.
Third-party source management
AI learns from mentions across the web:
Review sites - Request corrections for factual errors (not opinions)
News articles - Contact journalists about errors in archived articles
Directories - Update listings on G2, Capterra, industry directories
Partner pages - Ensure partner websites have current information
Each corrected source is one less source of bad data for AI.
Monitoring progress
Corrections take time to propagate. Track progress:
Run monthly audits to see if specific misinformation persists
Note which providers update faster (Perplexity typically faster than ChatGPT)
Document what worked for future reference
Expect 2-6 months for significant changes in AI training-based responses
Retrieval-based systems (Perplexity) update faster than training-based systems (ChatGPT).
When to escalate
For severe, persistent issues:
Some AI providers have brand feedback channels (OpenAI has limited options)
Legal recourse exists for demonstrably false, harmful claims - consult legal counsel
PR firms with AI expertise can help with reputation management
Document everything - screenshots, dates, impact assessments
Most issues resolve through content improvement, but some require escalation.