Is AI spreading misinformation about your brand?
AI makes things up. Sometimes about your brand. Wrong pricing, fake features, competitors that don't exist. We catch it automatically.
Hallucination Detection is VectorGap's automatic fact-checking system that compares what AI systems say about your brand against your verified knowledge base. AI assistants like ChatGPT, Claude, Gemini, and Perplexity don't say "I don't know"—they say something, and they say it with the same confident tone whether they're accurate or completely wrong. This creates a dangerous situation where millions of users receive misinformation about your product: wrong pricing that scares away prospects, phantom features that cause customer churn, entity confusion that mixes you with competitors, and outdated information from years ago. VectorGap's detection system identifies these hallucinations across all major AI platforms, rates their severity (Critical, High, Medium, Low), and provides actionable recommendations for correction.
What problems do AI hallucinations cause for brands?
AI assistants don't say "I don't know." They say something. And they say it with the same confident tone whether they're right or making it up entirely.
This is called hallucination—when AI generates plausible-sounding but incorrect information. For brands, the consequences are real:
Wrong pricing
ChatGPT tells a prospect your product costs $500/month. It's actually $49. They never reach out.
Phantom features
Claude says you have an API integration with Salesforce. You don't. Customer signs up, then churns.
Entity confusion
Gemini confuses your company with a competitor who has similar name. Their bad reviews become yours.
Outdated information
Perplexity describes your product from two years ago. Major features and pricing have changed.
How does VectorGap detect AI hallucinations?
Knowledge Base Comparison
We compare every factual claim in AI responses against your knowledge base. If the AI says your product does X and your KB says otherwise, we flag it.
Cross-Provider Consensus
If ChatGPT, Claude, and Gemini all say different things about your pricing, something's wrong. We detect inconsistencies across AI providers.
Topic Analysis
Sometimes AI confuses you with another company entirely. We detect when responses are about the wrong industry, wrong product category, or wrong entity.
Confidence Scoring
Not every mismatch is a hallucination. We score confidence based on how specific the claim is and how clearly it contradicts your facts.
What types of hallucinations does VectorGap detect?
Topic Mismatch
AI describes wrong industry or product category entirely
Entity Confusion
AI confuses you with a competitor or similar-named company
Fact Error
Specific claim contradicts your knowledge base
Fabrication
AI made something up with no basis in available information
Outdated Info
Information was true in the past but is now stale
Omission
AI fails to mention critical information about your brand
Frequently Asked Questions about Hallucination Detection
AI hallucination occurs when AI systems generate plausible-sounding but factually incorrect information. For brands, this is dangerous because AI assistants speak with the same confident tone whether correct or inventing facts. Common hallucinations include wrong pricing (ChatGPT says $500/month when it's $49), phantom features (claiming integrations that don't exist), entity confusion (mixing your brand with competitors), and outdated information (describing your product from years ago). These errors directly impact sales, customer trust, and brand reputation.
VectorGap uses four detection methods: 1) Knowledge Base Comparison - every factual claim in AI responses is compared against your verified facts, flagging contradictions. 2) Cross-Provider Consensus - if ChatGPT, Claude, and Gemini say different things about your pricing, inconsistencies are flagged. 3) Topic Analysis - detecting when AI confuses you with another company entirely. 4) Confidence Scoring - not every mismatch is a hallucination, so we score confidence based on claim specificity and contradiction clarity.
VectorGap detects six types of hallucinations: Topic Mismatch (Critical) - AI describes wrong industry or product category; Entity Confusion (Critical) - AI confuses you with a competitor; Fact Error (High) - specific claim contradicts your knowledge base; Fabrication (High) - AI invents information with no basis; Outdated Info (Medium) - information was true in past but now stale; Omission (Low) - AI fails to mention critical information. Each detection includes severity rating and recommended corrective actions.
Preventing AI hallucinations requires addressing root causes: 1) Build a comprehensive Knowledge Base as your source of truth. 2) Ensure consistent information across all public sources (website, Wikipedia, Crunchbase). 3) Create structured content with proper schema markup that AI can accurately parse. 4) Maintain authoritative third-party mentions (Reddit, news, industry sites) with accurate information. 5) Regularly audit AI responses and create corrective content when hallucinations persist. VectorGap's 5-dimension diagnostic identifies which root causes apply to your brand.
Why is AI hallucinating about your brand?
Hallucinations often stem from inconsistent entity data, missing source presence, or poor content structure. Our 5-dimension diagnostic identifies the root cause—so you can fix it at the source, not just chase symptoms.
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