What it is
The Sentiment tab analyses the language used when AI-generated answers mention your brand and other detected brands.
It helps you review:
Your average sentiment
Whether answers are positive, neutral, or negative overall
The phrases associated with each tone
Negative phrases that may need attention
How your sentiment compares with competitors
Use this tab to understand not only whether your brand appears, but how it is described.
Why it matters
AI-generated answers do more than list brands. They can describe a brand as simple, affordable, trusted, limited, expensive, specialized, or many other things.
That language can affect how users perceive your brand.
The Sentiment tab helps you:
Identify recurring positive positioning
Detect negative language or potential concerns
Understand the phrases behind your sentiment score
Compare your narrative with competitors
Review the actual answers where a phrase appeared
Filters and date range
Use Filters and the date-range selector to refine the data shown on the page.
The page updates to reflect the selected dataset. This lets you focus your analysis on the prompts, engines, regions, tags, or other available filters that matter to your review.
For example, you can use a shorter period to investigate a recent change or a longer period to understand the broader narrative around your brand.
Your average sentiment
The first summary card shows Your average sentiment for the selected period.
It displays your sentiment score out of 100 and, where comparison data is available, how it compares with the previous 30 days.
Use this as a high-level indicator, then review the phrases and answers behind the score before drawing conclusions.
Answers by overall tone
The Answers by overall tone section shows the tone of answers that named your brand.
It separates results into:
Positive
Neutral
Negative
You can switch between two views:
Answers: Shows the number and share of answers in each tone
Phrase mentions: Shows the number and share of phrase mentions in each tone
The section also shows the number of distinct phrases associated with each tone.
This distinction is useful because one answer may contain more than one sentiment-related phrase.
Negative phrases
The Negative phrases panel highlights phrases classified as negative within the selected data.
For each phrase, you can see how many times it was mentioned.
Use this section to quickly identify language that may affect how your brand is framed. Always open the relevant phrase and answer before treating a phrase as a confirmed issue, since the surrounding context may change its meaning.
Phrases by sentiment
The Phrases by sentiment table lists the phrases associated with the selected brand.
You can choose a brand from the brand selector to review your own brand or another detected brand.
Use the tone filters to view:
All phrases
Positive phrases
Neutral phrases
Negative phrases
For each phrase, the table shows:
Column | Description |
Phrase | The descriptive phrase detected in an AI-generated answer. |
Tone | Whether the phrase was classified as positive, neutral, or negative. |
Source | The source type recorded for the phrase. |
Mentions | The number of times the phrase appeared in the selected data. |
Select a phrase to expand it and see the prompts that used it and the answers in which it appeared.
Sentiment leaderboard
The Sentiment leaderboard ranks detected brands by sentiment.
Use the competitor search to find a specific brand.
For each brand, the table includes:
Sentiment
Positive phrases
Neutral phrases
Negative phrases
Scored answers
This provides a quick way to compare the language associated with your brand against competitors.
Investigating a competitor
From the Sentiment leaderboard, you can open a competitor’s phrase view or compare that competitor directly with your brand.
The comparison view shows your performance against one competitor and includes:
Visibility score
Detection rate
Average rank
Mentions
Citations
Sentiment
The prompts where you lead, trail, or both appear
Use this view when sentiment differences may be connected to broader visibility or ranking differences.
Brand sentiment detail
Opening a brand from the leaderboard gives you a dedicated sentiment view for that brand.
At the top, you can review:
Average sentiment
Scored answers
Positive phrases
Negative phrases
The page also includes:
A phrase table filtered by tone
The answers that named the selected brand
The prompt, AI engine, date, and sentiment for each answer
This is useful when you want to investigate why a brand has a particular sentiment score and which answers contributed to it.
How to use the Sentiment tab strategically
High visibility with negative phrases
Your brand appears frequently, but some of the language around it is negative.
Review the phrases and underlying answers first. Then consider whether the language reflects a product limitation, outdated information, competitor framing, or a broader content opportunity.
Positive sentiment with low visibility
Your brand is described positively when it appears, but it is not named often.
Consider expanding relevant prompt coverage and improving the sources or content that support your brand’s presence in AI answers.
A competitor has stronger sentiment
Review that competitor’s phrases and the prompts behind them.
Look for differences in how the answer positions each brand, the benefits it highlights, and the sources associated with the answer.
Best practices
Review the underlying answer before acting on a phrase
Compare answers and phrase mentions to understand frequency and context
Monitor negative phrases regularly
Check competitor phrases for positioning ideas and narrative gaps
Use a longer date range for broader trends and a shorter range for recent changes
Consider sentiment alongside visibility, detection rate, rank, mentions, and citations
The Sentiment tab explains the language behind AI Visibility performance. Use it alongside the Overview, Competitors, Citations, and prompt-detail views to understand both how often your brand appears and how AI engines describe it.






