Sentiment — how AI responses frame your brand.
Sentiment analysis classifies every AI response about your brand as positive, neutral, negative, or mixed — per prompt, per platform. Surface negative mention clusters before they compound into a perception problem.
Available on Watch and above
Per-response Classification
Every AI response is scored positive, neutral, negative, or mixed. Not an aggregate — per prompt, per platform, per run.
Negative Cluster Detection
Surface groups of prompts where AI consistently frames your brand negatively. Identify the pattern before it compounds.
Trend Over Time
Track sentiment drift per platform. See whether AI engines are framing your brand better or worse as your content and competitors evolve.
Know exactly how each AI response frames your brand.
Rankwize classifies every AI response at the individual level — positive, neutral, negative, or mixed. Not a rolling average. Not a batch score. Per prompt, per platform, per monitoring run.
A single negative response on a high-value prompt is a signal. See it before it becomes a pattern.
Screenshot coming soon
Screenshot coming soon
Track whether AI engines are framing you better or worse over time.
Sentiment trends reveal drift — not just where you stand today, but whether the trajectory is improving or worsening. Per platform, so you can see if one engine is diverging from the rest.
Content changes, competitor moves, and AI model updates all affect sentiment. The trend line shows you which changes are working.
How it works
Rankwize monitors AI responses across your tracked prompts
Every monitoring cycle captures fresh responses across up to 7 AI engines.
Each response is classified by sentiment
Positive, neutral, negative, or mixed — scored per response, not in aggregate.
Negative clusters and sentiment trends surface in your dashboard
See which prompts and platforms are driving negative framing — and what to fix.
Sentiment is one pillar of the Rankwize platform.