Common AI Misinformation Issues
Outdated Information
AI describes products or services you no longer offer
Wrong Pricing
AI cites pricing from years ago or competitors' pricing
Competitor Confusion
AI attributes competitor features to your brand, or vice versa
Missing Features
AI doesn't know about your recent products or capabilities
Incorrect Categories
AI places you in the wrong industry or market segment
Negative Bias
AI disproportionately surfaces old negative coverage
First, Understand the Limitations
There is no “edit” button for AI. You cannot directly change what ChatGPT, Claude, or Gemini say about your brand. These models are trained on web data, and their responses reflect that training. However, you can influence future responses through strategic action.
The goal is to create a web presence so strong and consistent that when these models are next updated, they have accurate information to draw from.
What You Can Do
1. Document the Issue
Before taking action, understand exactly what's wrong. Test multiple queries across different AI platforms to map the misinformation.
- • Record specific queries that produce incorrect responses
- • Note which platforms are affected (ChatGPT, Claude, Gemini, etc.)
- • Identify the likely source of the misinformation
2. Correct the Web Source
AI learns from the web. If there's misinformation online, that's what AI will reflect. Find and address the source.
- • Update your own website with correct, current information
- • Request corrections from third-party sites with errors
- • Update Wikipedia if applicable (following Wikipedia's guidelines)
- • Ensure consistency across all web properties
3. Create Definitive Content
Publish clear, authoritative content that directly addresses the misunderstanding. Make the correct information impossible to miss.
- • Create or update FAQ pages with correct information
- • Publish clear product/pricing pages with current details
- • Write blog posts or press releases announcing changes
- • Use definitive language (“As of 2024, [Brand] offers...”)
4. Build Authoritative Coverage
AI trusts authoritative sources more. Get the correct information published in places that carry weight.
- • Pursue coverage in industry publications
- • Update profiles on established business platforms
- • Ensure analyst reports and databases are current
- • Get the correct information into trusted review sites
Set Realistic Expectations
These actions influence future AI training, not current responses. Model updates happen periodically, not in real-time. Timeline for seeing changes:
- Short term (weeks): Some AI systems with web browsing may pick up changes faster
- Medium term (months): Model updates may incorporate new web data
- Ongoing: Consistent, accurate web presence compounds over time