Métriques

AI Brand Safety

AI Brand Safety is a set of checks that evaluate how AI models present a brand. It detects negative mentions, URL hallucinations, problematic associations and reputation risks in language model responses.

What is AI Brand Safety?

AI Brand Safety goes beyond simple visibility. It analyzes the quality of a brand's representation in AI responses. A brand can be highly visible yet poorly represented: false information, non-existent URLs cited as sources, or associations with negative concepts.

Detected Risks

  • URL Hallucinations: AIs sometimes invent URLs that don't exist, redirecting users to error pages or third-party sites
  • Negative Mentions: Detection of recurring negative sentiments associated with the brand
  • Problematic Associations: Is the brand associated with competitors, scandals or undesirable concepts?
  • Outdated Information: AIs may convey outdated information about products or services

How to Protect Your Brand?

AI Labs Audit integrates Brand Safety checks in every audit. The report identifies risks and proposes corrective actions. A GEO strategy helps positively influence AI perception by reinforcing positive signals and correcting erroneous information sources.