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Safety · Compliance

Catch AI hallucinations
before they spread.

LLM Metrix flags potentially inaccurate claims and risky associations an engine makes about you — across every engine — and surfaces them for the team that can review and fix them.

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app.llmmetrix.com/brand-safety
Illustrative
Brand Safety Monitor
Sample
Critical
1
High
1
Medium
1
criticalGemini

"Acme Corp's enterprise plan starts at $1,200 per user per month."

Fact · Actual price: $49/user/month.

highChatGPT

"Acme Corp was acquired by Google in 2023."

Fact · Acme Corp is independent and privately held.

mediumClaude

"Acme Corp only supports integrations with Slack."

Fact · Acme Corp integrates with Slack, Teams, and 20+ other tools.

Why it matters

Built to move your AI visibility from invisible to inevitable.

Hallucination detection

Automatically flag claims about your pricing, leadership, certifications or partners that look inaccurate or risky — surfaced for your team to review.

Severity scoring

Low, medium and high accuracy-risk bands help you triage — tackle the highest-risk issues first.

Per-engine risk view

See which engines carry the most accuracy risk about your brand, so you know where to focus.

Issue history

A running log of detected misstatements over time, so your team can track what was flagged and when.

Sentiment monitoring

Detect drifting sentiment about your brand or leadership before it becomes a story.

Prioritise what to fix

Sort flagged claims by accuracy-risk level so your team can decide what to correct first.

Who it's for

A daily edge for the teams shaping AI answers.

Legal & compliance

Keep visibility into false or off-brand claims AI engines make about your products, so the right team can review and respond.

Communications

Get ahead of false narratives before they become reporters' default research source.

Customer success

Stop fielding angry tickets caused by AI giving customers wrong pricing, SLAs, or feature claims.

FAQ

Questions, answered.

How do you know what counts as a hallucination?
Our analyzer reviews each answer and flags claims that look inaccurate or risky based on how the engine describes your brand, assigning an accuracy-risk level. These are heuristic flags for your team to review, not checks against a source of truth you upload.
Can you help us correct hallucinations?
Flagged claims sit alongside your GEO recommendations, which suggest the content and citation changes that can help correct how engines describe you. You act on them from your dashboard — we don't file takedowns or send outreach on your behalf.
Is this useful for non-public companies?
Absolutely — private companies are often hit hardest by hallucinations because there is less authoritative public data for engines to anchor on.
What's changed
Key concepts
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