How to Fix AI Hallucinations About Your Company
How to Fix AI Hallucinations About Your Company
Correct misinformation in LLM outputs by updating the public signals and structured data that AI models use to build their knowledge graphs.
What You'll Need
- Access to website CMS
- Google Search Console account
- Updated company profile on primary industry directories
- JSON-LD schema validator
Steps
Step 1: Audit the Hallucination
Identify the specific false claim and test it across multiple engines like ChatGPT, Perplexity, and Claude. Determine if the AI is pulling from an outdated page on your site, a third-party review site, or fabricating a connection between two unrelated entities.
Step 2: Update Core Entity Data
Refresh your 'About' and 'Contact' pages with clear, declarative statements. Use simple subject-verb-object sentence structures to ensure LLMs can easily parse the correct facts without ambiguity.
Step 3: Deploy Advanced Schema Markup
Implement JSON-LD structured data using the 'Organization' and 'Person' schemas. Explicitly define properties such as 'sameAs' to link your official social profiles and 'knowsAbout' to establish your company's specific areas of expertise.
Step 4: Cleanse Third-Party Citations
Identify the external sources fueling the hallucination, such as outdated Wikipedia entries, old press releases, or incorrect business directories. Request updates or removals to ensure the AI's training data or retrieval-augmented generation (RAG) sources are accurate.
Step 5: Establish Authoritative Proof Points
Publish high-authority, factual content—such as white papers or official press releases—that explicitly contradicts the hallucination. AI engines prioritize recent, high-trust signals when resolving conflicting information.
Step 6: Force Indexing of Corrections
Use Google Search Console to request a recrawl of updated pages. While LLMs have different update cycles, many AI answer engines rely on live web indexing to verify real-time facts.
Step 7: Monitor and Validate
Re-test the problematic prompts using a 'diagnostic' approach. Ask the AI for its sources to see if it is now citing your updated structured data or if it is still relying on a cached, incorrect source.
Expert Tips
- Avoid using overly creative language in factual sections; LLMs prefer literal, unambiguous descriptions.
- Focus on 'Entity Clarity' by ensuring your brand name is consistent across all platforms.
- Regularly audit your AI Readiness Score to detect new hallucinations before they impact lead generation.
See also
- What Is an AI Readiness Score?
- How to Fix AI Hallucinations About Your Company
- What Is the Difference Between SEO and GEO?
- How AI Answer Engines Find Information About Your Business