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AI Sentiment Analysis Tool

Uncover how ChatGPT, Perplexity, and Gemini describe your brand. HubSpot's free Sentiment Analysis Tool evaluates your brand's AI perception across five scored dimensions and delivers a written interpretation of your results  at no cost.

Why AI Sentiment Analysis Tools Matter In 2026

Answer engines have fundamentally disrupted how customers discover and evaluate brands. Traditional methods to measure brand sentiment track mentions and reviews. But AI brand sentiment analysis tools reveal something far more critical: how language models synthesize, interpret, and present your entire digital footprint to potential customers. When someone asks ChatGPT "Tell me about [your company]," the AI's response, not your website, becomes their first impression.

The strategic imperative is clear: brands that don’t track brand sentiment risk becoming invisible in the answer engines where modern buyers conduct research. HubSpot's online Sentiment Analysis Tool provides the visibility and insights needed to thrive in this AI-first landscape.

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Understand Exactly How AI Describes Your Brand

Most brands have no idea how answer engines characterize them until a prospect tells them. HubSpot's free Sentiment Analysis Tool closes that gap by delivering a written interpretation of your brand's AI representation across three sentiment layers: general tone, contextual variation, and source credibility.

General sentiment tells you whether answer engines describe your brand positively, neutrally, or negatively overall. Contextual sentiment goes deeper — revealing whether that tone holds consistently across topics, or whether AI describes your product favorably but your pricing or support cautiously. Source-based sentiment evaluates the credibility of the underlying sources shaping those characterizations, so you understand not just what AI says about your brand, but why.

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See How You Stack Up Against Competitors

Your brand doesn't exist in a vacuum, and neither does your score. HubSpot's Sentiment Analysis Tool lets you run the same analysis on any brand, giving you a direct point of comparison against competitors across all five scoring dimensions.

Run a sentiment analysis on a direct competitor and you'll see how answer engines score their sentiment, recognition depth, market positioning, and share of voice relative to your own results. For example, a competitor with a higher Brand Recognition score signals that AI models may have more comprehensive information about them. 

There is no limit to how many brands you can analyze. Map AI perception across your competitive landscape.

How To Do A Brand Sentiment Analysis

Understanding how answer engines characterize your brand takes four steps with HubSpot's free tool – no technical setup required.

 

Step 1: Enter Your Brand Name for Instant AI Intelligence

Input your company name, location, industry, and products or services. The more detailed your inputs, the more relevant your results – the tool uses this context to ask each AI platform how it characterizes your brand. You can enter your own company or any competitor brand you want to analyze.

 

Step 2: Cross-Platform Analysis Runs Automatically

The tool sends your brand information to GPT-5.2, Perplexity, and Gemini simultaneously, asking each model how it characterizes your brand based on its training data. You don't need to configure anything or run separate queries – the cross-platform assessment happens automatically.

 

Step 3: Receive Your Score Across Five Dimensions

Your results are calculated across five dimensions – Sentiment Analysis, Presence Quality, Brand Recognition, Share of Voice, and Market Competition – producing a composite score out of 100. Each dimension score reflects a different aspect of how answer engines currently understand and represent your brand.

 

Step 4: Read Your Written Interpretation

Complete the short form to access your full results: your composite score, a breakdown across all five dimensions, and a written interpretation explaining what those scores reflect about your brand's current AI representation. This is where the analysis becomes actionable – the interpretation surfaces what's driving your scores so you know where AI's understanding of your brand is strong and where it's limited.

Frequently Asked Questions