Sentiment Analysis

Being mentioned isn't enough. How AI talks about your brand shapes perception and influences your potential customers' decisions.

What Sentiment Means

Your sentiment measures the tone and framing of AI mentions. Is your brand positioned positively, neutrally, or negatively? Are you recommended with enthusiasm or mentioned with caveats?

We analyze the actual language AI uses when discussing your brand:

Positive framing: “highly recommended,” “industry leader,” “excellent for”
Neutral framing: “one option is,” “some companies use,” “available from”
Negative framing: “limited by,” “users report issues with,” “expensive compared to”

How We Determine Your Sentiment

We analyze each AI response where your brand appears, looking at:

Explicit statements: Direct praise or criticism of your brand
Comparative framing: How you're positioned against your alternatives
Qualifier words: “Best,” “popular,” “limited,” “struggling”
Context placement: First recommendation vs. afterthought mention

Note

We extract verbatim examples from AI responses so you can see exactly what language is being used about you. No black box scores — you can verify our analysis.

Score Ranges

We score your sentiment on a 0-10 scale:

8-10 (Highly Positive): Strong recommendations, praise, market leader positioning
6-7 (Positive): Favorable mentions, good option among several
4-5 (Neutral): Factual mentions without strong opinion
2-3 (Negative): Mentioned with caveats or concerns
0-1 (Highly Negative): Explicitly not recommended or criticized

Why Your Sentiment Matters

High visibility with negative sentiment is worse than low visibility. If AI frequently mentions your brand but always with caveats (“good but expensive,” “powerful but complex”), you're training potential customers to have objections before they even talk to you.

Key Insight

The ideal combination is high visibility with high sentiment. But if you have to prioritize, we've found that fixing negative sentiment often matters more than increasing visibility.

Improving Your Sentiment

Your sentiment reflects what AI has learned from its training data and the sources it cites. Here's how you can improve it:

Address cited sources: If negative reviews are being cited, respond to those reviews or create content addressing the concerns
Create positive proof points: Case studies, customer success stories, and awards can shift the narrative about you
Update your positioning: If AI describes you in ways you don't like, it may be pulling from your outdated content
Monitor competitor sentiment: Sometimes improving your relative position is easier than improving your absolute sentiment