What we measure, and how it's read.
We ask each model open questions about your brand and record the attributes, caveats and comparisons it volunteers unprompted.
Responses are coded into perception themes — quality, price, trust, service, credibility — and tracked per model over time.
Where a model repeats a claim, we trace the sources it is likely drawing on, so inaccurate or outdated narratives can be corrected at the origin.
Competitor perception is measured on the same axes, exposing the trust gap behind a lost recommendation.
Stage: Uncover.
Sentiment Auditor is the other half of the Uncover stage — it explains the character and trust gap behind why a competitor is being chosen, not just the fact that they are.
See the full QUEEN framework →You're losing revenue to AI you can't see.
AI models do not just rank brands, they characterise them. A single stale review narrative or unresolved caveat can quietly disqualify you from a recommendation you would otherwise win — some brands are recognised by name, then drop away the moment AI compares them.
Knowing what a model believes tells you which narrative to correct — and where the sources shaping it live.
Sentiment Auditor, answered.
↳ What do AI models say about my brand?
Sentiment Auditor answers exactly that: it records how each major AI model describes your brand unprompted — the attributes, caveats and comparisons it volunteers — and tracks how that perception shifts over time.
↳ What is an AI Sentiment Auditor?
It is a diagnostic that measures how AI models perceive and talk about a brand — trust, quality, price and character attributes — rather than only whether the brand is recommended.
↳ How do I fix inaccurate AI answers about my brand?
By correcting the signals models retrieve. That usually means updating authoritative first-party content, resolving contradictions across product facts, and strengthening credible third-party corroboration. Sentiment Auditor identifies which claim to fix and where it likely originates.
↳ Is AI sentiment different from social listening?
Yes. Social listening measures what people say. Sentiment Auditor measures what AI models believe and repeat — which is shaped by retrieved sources and training data, and can lag or distort public sentiment considerably.
Audit what AI says about you — free.
Audit what AI says about you — freeHow often your brand is recommended versus competitors and interceptors in your category, refreshed monthly.
Machine Preference Index measures how often your brand surfaces.
How ready your brand is to be selected by autonomous AI agents, across both AEO and ACO.
How AI shopping agents actually experience your site — and a competitor's — and where it breaks.
Continuous monitoring of the data and content feeds AI models pull from, so drift never silently breaks visibility.