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Sentiment Tab Explained

Understand how AI engines describe your brand and competitors, which phrases shape that perception, and how sentiment changes across your tracked answers.

What it is

The Sentiment tab analyses the language used when AI-generated answers mention your brand and other detected brands.
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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.
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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.
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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.
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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.
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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.
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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.
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Negative phrases

The Negative phrases panel highlights phrases classified as negative within the selected data.
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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.
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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.
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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.
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Sentiment leaderboard

The Sentiment leaderboard ranks detected brands by sentiment.

Use the competitor search to find a specific brand.
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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.
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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.
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Brand sentiment detail

Opening a brand from the leaderboard gives you a dedicated sentiment view for that brand.
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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.
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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.
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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.
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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.

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