Sentiment Analysis

Understand how AI describes your brand.

Read beyond whether your name appears. Review the language and context of monitored answers to understand how your brand is being presented.

Inside Sentiment Analysis

Built around the work.

01

Brand perception

Review sentiment signals in monitored brand responses.

02

Response context

Inspect the answer text behind a sentiment result.

03

Provider comparison

Compare descriptions across a consistent set of providers and prompts.

Before you start

Good questions.
Clear answers.

What does AI sentiment analysis measure?

It helps characterize how a monitored response describes a brand. The underlying text and context remain important when interpreting a sentiment label.

Does positive sentiment mean the brand was recommended?

Not necessarily. An answer can describe a brand positively without recommending it for the user’s specific need.

What should I do when an answer misrepresents my product?

Verify the answer and available sources, then review whether your public product information is clear and current. Continue monitoring the relevant questions after corrections.

THE NEXT ANSWER COULD BE YOURS.

Get your brand
mentioned in AI Search.

Let’s make it happen