Brand Mirror

What it does

Summarises how LLMs tell the brand's story: correct perceptions, outdated or wrong ones, dominant attributes and the gap between the declared positioning and the AI narrative. Also returns the average tone of the answers.

When to use it

• When you suspect a mismatch between the brand message and what LLMs keep repeating.
• Before a rebrand or a campaign, to measure the perceptual starting point.
• To catch outdated perceptions still circulating inside AI chats.

Required inputs

• audit_id (required): an audit with at least a few collected LLM answers.

Example output

{
  "slug": "brand-narrative",
  "artifact_ids": ["art-narr-1"],
  "payload": {
    "narrative_summary": "...",
    "correct_perceptions": ["fast"],
    "outdated_or_wrong_perceptions": [],
    "missing_perceptions": ["enterprise-ready"],
    "dominant_attributes": ["speed"],
    "perception_vs_positioning_gap": "...",
    "tone_in_ai_responses": "positive",
    "confidence": "medium"
  }
}