Answer Engine Optimization Grader
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.
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.

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.

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.
Understanding how answer engines characterize your brand takes four steps with HubSpot's free tool – no technical setup required.
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.
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.
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.
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.
Love this. Tested it. Results are amazing. They show me exactly what I’m doing right (or wrong…).
The best thing that HubSpot has done since the Website Grader. A really nice marketing move!
Love this new tool to understand how AI sees your brand.
Jennifer Nixon
Independent Consultant
This is so cool! What a genius idea to have AI figure out your share of voice!
A sentiment analysis tool is one of the methods to measure brand sentiment that uses natural language processing to evaluate how your brand is perceived across digital channels.
HubSpot's free Sentiment Analyzer focuses specifically on AI-generated characterizations — how GPT-5.2, Perplexity, and Gemini describe your brand based on their training data. This is distinct from traditional brand monitoring tools that track social media mentions or review sentiment, because AI responses increasingly shape how buyers understand brands before ever visiting a website.
Brand sentiment is the tone and evaluative language AI platforms use when characterizing your company – whether that language signals trust, reliability, innovation, or concern. In an answer engine context, sentiment isn't just about positive vs. negative mentions. It also captures how consistently that tone holds across different topics and use cases, and how credible the underlying sources are that have shaped it.
AI platforms increasingly mediate the first impression buyers form of your brand. When a prospect asks ChatGPT or Perplexity about solutions in your category, the tone and framing of those responses shapes their perception before they reach your website. Understanding your current sentiment across these platforms is the starting point for managing your brand's AI representation intentionally.
Traditional brand sentiment tracks mentions across social media, reviews, and news. AI brand sentiment measures how language models synthesize all of those signals — plus everything else in their training data — into a characterization of your brand. The distinction matters because AI models don't just surface individual mentions; they form a consolidated representation of your brand that gets presented to users as a trusted answer.
The tool currently analyzes GPT-5.2 (OpenAI), Perplexity, and Gemini (Google) — the three primary AI platforms reshaping how buyers research solutions. Results are cross-validated across all three to produce a reliable composite score.
How to Use Sentiment Analysis for Brand Building
Transform AI sentiment data into specific brand building strategies by identifying perception gaps, optimizing content for AI comprehension, and systematically improving how language models understand your unique value. HubSpot's AI Sentiment Analysis Tool kick-starts this process by delivering a comprehensive report of your brand's strengths and weaknesses within the AI landscape. This actionable intelligence enables you to craft targeted content that resonates with answer engines, refine messaging that gets cited more frequently, and build the semantic foundation that ensures answer engines accurately represent your brand's expertise and differentiation to potential customers.
Yes. The tool accepts any brand name, so you can run it on competitors to compare how AI platforms score their sentiment, recognition, and market positioning against your own results.