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Brand Sentiment Analysis

See How AI Search Describes Your Brand

Go beyond whether your brand appears in AI-generated answers. Explore the claims that shape its perceived reputation, see how those claims are classified, and trace them back to the prompts and AI responses behind them.

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AI Search Sentiment Dashboard (1)
Sentiment overview

The overall picture, week by week

See the share of favorable and neutral mentions across AI engine responses, and how the split moves over time. Responses that never mention your brand are counted separately, so the percentage always reflects real mentions.

Sentiment Overview Dashboard
AI Claims Analytics Dashboard
Claims

Read the exact sentences AI engines uses about you

Browse the claims behind each sentiment label, each tagged with its theme. You see the specific wording engines repeat to buyers, not just a score.

Themes

Find the topics where perception is weakest

Claims are grouped into themes such as Pricing & Packaging, Product Features, Top Role-Level Pains, Narrative Shift, and Consensus Signal. Each theme shows its favorable share and an opportunity rating, so you know where to look first.

Theme detail

Understand why AI engines frame you this way

Open any theme to see its sentiment, its opportunity rating, a plain-language explanation of how AI engines are reading your brand, and the supporting claims behind it. 

● An explanation of why AI perceives the theme the way it does
● The supporting claims, each with its sentiment label
● The prompts and AI responses behind each claim
AI Search Sentiment Dashboard
From Sentiment Insights to Content
Act on it

Turn weak themes into content AI engines cite

Once you know which theme needs work, Omnibound uses buyer and market context to build content that answers the prompts behind it. Content that gets cited keeps bringing in qualified inbound leads from AI search.

Create Citation-Worthy Content

Frequently Asked Questions

What is AI brand sentiment analysis?

It examines how AI-generated answers characterize a brand and organizes claims or mentions by sentiment and theme. Where available, users can inspect the prompts and responses supporting a classification.

How is brand sentiment different from share of voice?

Share of voice focuses on a brand's relative presence across a defined set of prompts or answers. Brand sentiment focuses on how the brand is characterized in the analyzed responses.

Does favorable sentiment guarantee more visibility or revenue?

No. Sentiment labels, brand visibility, citations, traffic, leads, and revenue are different outcomes. Any relationship between them needs to be tested separately.

Can a sentiment score tell us exactly what to change?

No. The score helps identify areas to investigate. Review the claims, prompts, AI responses, and theme before choosing a message, content, or product action.

Why are some AI responses skipped?

Responses that do not mention your brand have nothing to classify, so they are skipped and reported separately.

Understand the narratives forming around your brand.

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