LLM Hallucinations About Your Brand: How to Detect and Correct Them
Somewhere right now, an AI is lying about your company. Here's how to detect and correct it before it damages your revenue.
Digraph Team
Brand Intelligence Research
Brand Hallucinations
Hallucination is a fundamental property of how large language models work. These systems generate text by predicting the most statistically likely next token. They have no internal fact-checker.
The Taxonomy of Brand Hallucinations
Pricing Fabrication
Models frequently state specific prices that bear no relation to reality. A product priced at $49/month gets described as "$199/month."
Feature Invention
LLMs describe product capabilities that don't exist. They claim integrations you don't support or features you never built.
Feature Omission
The model fails to mention key differentiators that actually exist if they aren't well-documented across authoritative web sources.
A Systematic Approach to Detection
Detecting brand hallucinations requires systematic querying across platforms, comparison against known facts, and temporal tracking.
Corrective Strategies That Actually Move the Needle
Strengthen your first-party content, flood the zone with accurate signals, leverage platform feedback channels, and create content that directly addresses common hallucinations.