AI Hallucination Detection
Identify when AI engines provide inaccurate or outdated information about your brand.
What you can achieve
AI Hallucination Detection with AEO Platform
Build your brand fact sheet
Enter verified information about your brand: products, features, pricing, company details, and key claims. This becomes the ground truth for accuracy checking.
Scan AI engines for accuracy
AEO Platform queries AI engines with brand-specific prompts and compares responses against your verified fact sheet, flagging discrepancies.
Review hallucination report
Examine flagged inaccuracies categorised by type (outdated, fabricated, confused, exaggerated), severity, and engine. Understand which hallucinations are most damaging.
Trace hallucination sources
The platform identifies likely content sources driving each hallucination—outdated pages on your site, incorrect third-party descriptions, or conflicting information across sources.
Correct and prevent
Follow targeted recommendations to correct source content, update structured data, and implement consistency checks that reduce future hallucination risk.
How AEO Platform helps
AEO Platform systematically verifies the accuracy of AI engine claims about your brand. The platform maintains a knowledge base of verified brand facts—features, pricing, descriptions, capabilities—and cross-references this against what AI engines actually say. Any discrepancy is flagged as a potential hallucination, categorised by severity and engine.
The platform distinguishes between types of inaccuracies: outdated information (was true but is no longer), fabricated claims (never true), confusion errors (attributes of a similar brand applied to yours), and exaggeration or understatement of actual capabilities. This categorisation helps you prioritise responses and understand the root cause of each inaccuracy.
Proactive hallucination prevention is built into the platform's recommendations. By identifying the content patterns that lead to hallucinations—inconsistent information across your web properties, ambiguous product descriptions, missing structured data—AEO Platform helps you address the root causes that make hallucinations more likely, rather than just detecting them after the fact.
Queries to monitor
AI Hallucination Detection FAQ
Key engines for this use case
Explore other use cases
AI Brand Monitoring
Track how AI engines mention, describe, and recommend your brand across every major model.
AI Competitive Intelligence
See where competitors appear in AI responses and identify gaps in your AI visibility.
Content Optimization for AI
Structure content so AI engines can extract, cite, and recommend it.
Start with the pages and proof that AI can actually use
Run the free audit to see what blocks AI from citing your site. Use the trial when you need ongoing monitoring, attribution, prompt discovery, and team workflows after the first fixes are live.