Skip to main content
The Sentiment tab shows how AI talks about you and why. It starts with one score and a short read, then breaks the answers into categories so you can find the complaint worth fixing first. Open it from AI Visibility > Sentiment.
Sentiment tab with the score ring, summary and the category table

Sample data based on a linear.app project

Score and summary

The ring on the left is your Sentiment score, 0 to 100, colored by its band (positive, neutral or negative). It covers every run in the selected period, with the filters applied, and includes branded prompts. Next to it, WebGlazer writes a short read of where you stand:
  • The headline follows the trend first, then the band: “AI is warming up to you” or “AI has cooled on you a bit” when the score moved 3 points or more against the previous period of the same length; otherwise “AI speaks well of you”, “AI is fairly neutral about you” or “AI is critical of you right now”.
  • The detail names the topic AI praises most and the complaint that comes up most, for example “It speaks best about your support, but pricing keeps coming up.”
  • The action points at that complaint: “That’s the one to fix first.”, or “New in this period, so worth a look.” when it did not come up in the previous period. See what they said opens that category’s quotes.
  • With fewer than 8 scored answers you also see “Still early, from just a handful of answers.”

What AI says about you, by category

“Every answer sorted into fixed categories, complaints first. Click a category to read every topic behind its tone and who said each.” Each row is one category: Features, Ease of Use, Pricing & Value, Support & Service, Performance & Reliability, Quality, Integrations, Trust & Reputation, Onboarding and Other.
  • Category: the kind of thing AI talked about.
  • Tone: the category’s score from 0 (all bad) to 100 (all good) with a colored bar. Hover to see how many quotes were positive, neutral and negative. The score is (positive quotes + half of neutral quotes) ÷ all quotes × 100. Click the header to sort.
Categories that are mostly negative come first, then the rest by how often they came up. Other is always last. Export downloads the categories as CSV or JSON with each category’s sentiment, score, positive, neutral and negative mentions, total times and topics.

Reading the quotes

Click a category to open it. “Everything AI said in this category, every quote grouped by topic. The count is how many answers used that exact line.”
  • Each topic inside the category is its own section, with its number of quotes. The most-said topic is open first.
  • Each quote row shows the Engine logos that said it, the Quote and its Tone (Positive, Neutral or Negative). Sort by Engine or Tone.
  • “Not in the shown answer text” marks a quote taken from the engine’s full answer that is not in the part shown to you.
  • Click a quote to open the prompt detail sheet on Raw data for that engine, with the quote highlighted in the answer. See Prompts tab.

Empty states

  • “No sentiment yet” means no answer in the period has a sentiment score. It fills in after your next daily run.
  • “No scores yet. Check back after your next run.” means categories exist but no score could be calculated yet.