How do I keep the ground-truth profile up to date?

The platform sends periodic reminders to review your ground-truth profile, especially when it detects new types of claims being made about your brand. You can also integrate the ground-truth profile with your CMS or product database via API so that changes propagate automatically. Most teams review their profile quarterly or after major product launches.

Can Hallucination Detection catch subjective inaccuracies?

The feature focuses on verifiable factual claims — things that are objectively true or false. Subjective framing (such as "expensive" or "difficult to learn") is handled by Sentiment Analysis rather than Hallucination Detection. However, you can add custom ground-truth assertions for claims that are technically subjective but important to your brand, such as "enterprise-grade security" or "best-in-class uptime".

What happens when an AI engine hallucinates about a competitor?

If you track competitors, the platform can detect hallucinations in competitor mentions as well. This is useful for understanding whether AI engines are giving competitors undeserved credit — for example, attributing a feature to a competitor that only your product offers. Competitive hallucination data is available on the competitor dashboard.

Feature

diagnosis

Hallucination Detection

Automatically detect when AI engines make incorrect claims about your brand and trigger corrective action.

Quick answer

AI engines hallucinate. They confidently state incorrect pricing, attribute features to the wrong product, invent partnerships that do not exist, and describe capabilities your product has never had. For brands, these hallucinations are not just annoying — they mislead buyers, damage credibility, and can create legal exposure when inaccurate claims relate to compliance, certifications, or security.

How it works

Hallucination Detection in detail

You start by building a ground-truth profile for your brand. The platform provides a structured form covering common hallucination targets: product features, pricing, integrations, team size, founding year, certifications, and customer claims. You can also add custom fact fields for industry-specific information.

On every monitoring cycle, the platform extracts factual claims from AI-generated mentions and compares them against your ground-truth profile. The comparison uses semantic matching rather than exact string matching, so it catches paraphrased inaccuracies — for example, an engine saying "free plan available" when your ground truth states pricing starts at $49 per month.

Each detected hallucination is classified by severity (critical, moderate, minor), by type (pricing error, feature misattribution, outdated information, fabricated claim), and by reach (how many engines are producing the same hallucination). Critical hallucinations can trigger immediate Smart Alerts, and the platform suggests corrective content actions tailored to the specific inaccuracy.

Benefits

Why Hallucination Detection matters

Catch incorrect pricing, feature, and partnership claims before they mislead buyers

Maintain a ground-truth profile that serves as the authoritative source of brand facts

Prioritise corrections by severity and cross-engine reach

Reduce legal and compliance risk from AI-generated misinformation

Track hallucination resolution over time to measure corrective content impact

Use cases

When to use Hallucination Detection

A SaaS company discovers that ChatGPT claims they offer a free tier when no free tier exists, and publishes a pricing FAQ to correct the record.

A healthcare platform flags an AI engine attributing a certification they do not hold and escalates to compliance.

A fintech brand detects that Perplexity cites an outdated funding amount and updates their press page with current figures.

FAQ

Hallucination Detection FAQ

Related features

Brand Mention Tracking

detection

Know exactly when and where AI engines mention your brand, across every model and every prompt that matters.

Smart Alerts

detection

Get notified the moment your AI visibility changes — before small shifts become big problems.

Sentiment Analysis

diagnosis

Understand the tone AI engines use when they talk about your brand and track sentiment shifts over time.

Action Plans

resolution

Turn audit findings and detection signals into prioritised now/next/later plans that your team can execute.

View all features

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