Brand Hallucinations: What to Do When AI Lies About You

Executive Summary: AI hallucinations—where a model confidently states falsehoods—are a major risk for modern brands. This guide outlines the mechanism of hallucinations and provides a step-by-step "Data Injection" strategy to correct them without waiting for the next model training run.
The Cost of Incorrect Data
If a user asks an AI, "Does [YourBrand] support Single Sign-On?" and the AI says "No," you have lost a customer.
This is not malice; it is a Data Gap. The AI looked for the answer, couldn't find an explicit "Yes," and hallucinated a "No" based on the probability of similar tools in your tier.
Strategy: Entity Injection
You cannot "edit" ChatGPT. But you can influence its Retrieval layer.
1. Identify the "Source of Truth" Gap
Audit your own documentation. Is the hallucinated fact explicitly corrected on your site?
- Hallucination: "Feature X is missing."
- Fix: Create a dedicated page or FAQ entry titled "Does [Brand] have Feature X? Yes."
2. The "3-Citation" Rule
AI models cross-reference. One source is an outlier; three sources are a fact. To overwrite a hallucination, publish the correct data on:
- Your official documentation.
- A press release or blog post (dated recently).
- A third-party platform (LinkedIn, Crunchbase, or a review site).
3. Use Structured Data (JSON-LD)
Ambiguity breeds hallucination. Use Schema.org markup to lock in facts.
If the AI thinks your CEO is "John Doe" (incorrect), add a Person schema to your About page explicitly defining the founder and ceo properties.
{
"@type": "Organization",
"name": "ViaMetric",
"founder": {
"@type": "Person",
"name": "Davide Agostini"
}
}
Monitoring for Drift
Hallucinations can re-emerge if new, incorrect content is published web-wide. Regularly query the major AI engines with specific fact-checking prompts:
- "What is the pricing model of [Brand]?"
- "Who owns [Brand]?"
If you detect a drift, repeat the Injection process immediately.
Detect hallucinations before your customers do. Monitor your brand's AI narrative with ViaMetric's Mention Tracker.

Davide Agostini
Android Mobile Engineer and Founder of ViaMetric. Davide specializes in technical SEO and the emerging field of Generative Engine Optimization (GEO), helping founders navigate the shift from links to AI citations.
Frequently Asked Questions
- Can I delete an AI answer?
- No. You cannot delete an answer generated by a public LLM. You must feed it 'corrective data' so it generates a new, accurate answer next time.
- Why do AI models hallucinate?
- Hallucinations occur when there are 'data voids' (missing information) or conflicting sources. The AI attempts to fill the gap with a probabilistic guess.
- How long does it take to fix?
- It depends on the model's re-indexing speed. Perplexity can update in hours; ChatGPT (GPT-4) relies on training cutoffs and RAG, which can take weeks.
