> ## Documentation Index
> Fetch the complete documentation index at: /docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Sentiment tab

> The AI Visibility > Sentiment tab: your sentiment score, the plain-language summary, and what AI says about you by category, down to the exact quotes.

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](https://mintcdn.com/sia-webglazer/xTXVRghP1Bd03NXs/images/dashboard/wg-sentiment-2026-11.webp?fit=max\&auto=format\&n=xTXVRghP1Bd03NXs\&q=85\&s=a3d047de5e6f2c301ac25324cb610bb5)

Sample data based on a linear.app project

## Score and summary

The ring on the left is your [Sentiment](/docs/metrics/sentiment.md) 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](/docs/dashboard/prompts.md#the-prompt-detail-sheet).

## 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.


## Related topics

- [Sentiment](/docs/metrics/sentiment.md)
- [Prompts tab](/docs/dashboard/prompts.md)
- [Platforms tab](/docs/dashboard/platforms.md)


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