Core feature
Understand not just if AI mentions you, but how.
Track whether AI models recommend, hedge, or warn about your brand. See the exact language they use. Catch sentiment shifts before they impact your pipeline.
Real-time perception
See sentiment in real time.
Every AI response about your brand is captured, analyzed, and classified. Understand not just what AI says, but how it frames your brand relative to competitors.
AI doesn't just mention or ignore. It recommends with enthusiasm, hedges with qualifiers, or warns with reservations. Each framing has a different impact on the person reading it.
What you get
Five dimensions of AI perception, monitored daily.
From raw classification to trend analysis and alerting, everything you need to manage your brand's AI reputation. Click any dimension below.
Every AI mention classified with precision
Each time an AI model mentions your brand, we analyze the surrounding language and classify the mention as positive, neutral, cautious, or warning. No guesswork, just data.
Recommended, praised, endorsed
Mentioned without strong opinion
Hedged, qualified, conditional
Negative framing, warns against
How it works
From raw response to perception signal.
Every mention is parsed, scored, and tracked so you can see how AI talks about you, not just whether it does.
AI responses analyzed
We parse the language around every brand mention, looking for recommendation language, hedging phrases, and warning patterns.
Mentions classified and scored
Each mention is categorized as positive, neutral, cautious, or warning, with the specific language that triggered the classification.
Perception shifts tracked
See sentiment trends per model, per query type, and overall, so you can act before negative framing becomes the default.
Built for teams who manage perception, not just presence.
Language, not just labels
We surface the exact phrases AI models use about you, so you can see why a mention reads as cautious or warning.
Shifts caught early
Daily monitoring spots a tone change the moment it appears in model outputs, before it becomes the default framing.
Per-model nuance
Sentiment is tracked per AI engine. Fix the model that hedges without losing the one that recommends.
We classify every brand mention across 10+ AI models, scoring four sentiment tiers with the specific language that triggered each call. Everything is encrypted in transit and at rest, with role-based access, daily backups, and no third-party data sharing.
FAQ
Frequently asked questions.
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GeminiFull Spectrum and Enterprise plans include a monthly 30-min strategy call.