How do people feel about your brand online? Enter any brand name.
Get its positive, negative and neutral sentiment split for free in 5 seconds.
Brand sentiment sorts a brand's recent online mentions into three groups: positive, negative and neutral. The split shows the tone of the conversation, and the summaries show what each group was about.
Whether the talk about a brand leans positive or negative right now, and which topics people praise or complain about most.
How many mentions there were, how the split changed over time, who published them, and where the talk happened.
The free tool gives a quick snapshot. Brand24 shows every mention behind it, the sentiment trend over time, the sources driving it, how it compares with competitors, and an alert the moment negative mentions start to climb.
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Yours, a competitor's, or a product name. No account needed.
The positive, negative and neutral share of the brand's most recent online mentions, with a simple verdict.
A short AI summary of what people liked, what they criticized, and what else came up.
A sentiment analysis tool is a free software that reads online mentions of a brand, product, or keyword and sorts each one by the opinion it expresses: positive, negative or neutral. Instead of reading thousands of posts, comments, news articles and reviews one by one, you see the overall tone of the conversation and the topics behind it.
Brand24's Sentiment Analysis Tool is a free online brand sentiment checker. It works for any brand name, without creating an account:
The full Brand24 platform is the answer if you need ongoing brand sentiment analysis software with:
Plus, it runs continuously and also tracks how ChatGPT, Claude, Gemini, and Perplexity talk about your brand.
What you get |
Sentiment Analysis Tool
Free, no account
|
Brand24 Platform
Full access to your brand's data
|
|---|---|---|
| Sentiment split (positive/neutral/negative) | check_circleYes | check_circleYes, for every mention, updated in real time |
| Summary of what drives each group | check_circleYes | check_circleYes, plus the mentions behind it |
| Sentiment trend over time | closeNo | check_circleYes |
| Emotion analysis (joy, admiration, anger, fear and more) | closeNo | check_circleYes |
| Compare vs. competitors | One brand at a time | check_circleSide by side, unlimited |
| Read the actual mentions | closeNo | check_circleFull list, filterable by sentiment and source |
| Sentiment by source: social media, news, forums, reviews, podcasts | closeNo | check_circleYes |
| Mentions inside AI answers (ChatGPT, Claude, Gemini, Perplexity) | closeNo | check_circleYes |
| Alerts when negative mentions spike | closeNo | check_circleYes, Storm Alerts |
| Reports | Download as PNG, JPG or PDF | check_circleScheduled PDF, PPTX and email reports |
| MCP, API | closeNo | check_circleYes |
| Update frequency | Daily | Real-time |
| Price | Free | 14 days free trial, then from 199$ |
The Sentiment Analysis Tool classifies each of a brand's most recent online mentions as positive, negative or neutral. Then it shows each group as a share of all those mentions, so the three numbers always add up to 100%.
The mention praises, recommends or speaks well of the brand.
The mention complains, criticizes, warns others or describes a bad experience.
The mention takes no clear side, such as news, announcements, questions or product listings.
The positive, negative and neutral share of the brand's most recent online mentions.
A short summary of what people praised, what they criticized, and what the brand was mentioned for without a clear opinion.
Check competitors the same way, one brand at a time, to see how the tone of their conversation compares.
The one-line verdict compares only the positive and negative mentions.
Neutral is usually the largest group, so counting it would give almost every brand the same answer.
Verdict | What it means |
|---|---|
| sentiment_very_satisfiedMostly positive | At least 4 positive mentions for every negative one |
| sentiment_satisfiedLeans positive | At least 2 positive mentions for every negative one |
| sentiment_neutralMixed | Neither side reaches 2 to 1 |
| sentiment_dissatisfiedLeans negative | At least 2 negative mentions for every positive one |
| sentiment_very_dissatisfiedMostly negative | At least 4 negative mentions for every positive one |
| sentiment_neutralMostly neutral | 90% or more of the mentions take no side |
Mention volume tells you how much people talk about a brand. Sentiment tells you how they feel about it.
The two together show whether attention is helping a brand or hurting it.
Brand sentiment analysis gives marketing teams four data-based insights:
A growing share of negative mentions flags a problem worth investigating before it turns into a PR crisis or shows up in sales numbers.
What people criticize points straight at the product, support or pricing issues customers care about most.
Check sentiment before a launch and again after, and see whether the new conversation is enthusiastic, critical or simply informative.
Run the same check for competitors and see whose customers are happier, and what they praise that your brand doesn't get credit for.
Checking brand sentiment isn't only for large companies with a research budget:
Neutral doesn't mean unimportant. It means a mention informs rather than judges. Most neutral mentions look more like:
a news article reporting a brand's new product, results or leadership change
a forum question asking which plan, size or model to choose
a product listing, a resale post or a price comparison that names the brand
That's why neutral is usually the largest group for well-known brands. The balance between positive and negative mentions is what shows the tone, and that's what the tool's verdict reads.
AI assistants like ChatGPT, Gemini and Perplexity answer “is this brand any good?” questions mostly from what other people publish about the brand, not from the brand's own website.
An analysis of 10,000 ChatGPT responses by Previsible found that for established brands, third-party sources dominated the answers to sentiment questions like “is [brand] good” or “should I buy [brand]”.
That means the praise and complaints in reviews, forums, news and social media are the raw material AI tools use to describe you.
Checking the tone of your online mentions shows what story AI search is likely to tell about your brand.
Source: Previsible, “What 10,000 AI Responses Reveal About How LLMs Choose Brand Sources”.
A sentiment analysis tool scans online mentions of a brand, product or keyword across social media, news, forums, blogs and review sites, and sorts each one as positive, negative or neutral. Read more about how sentiment analysis works.
Brand24's free Sentiment Analysis Tool does this for any brand name in seconds with no account required.
Yes, there's no sign-up and no cost. Type a brand and get its sentiment split. The free version is meant as a quick snapshot. When you want sentiment trends over time, the individual mentions behind each group, and alerts, check Brand24's 14-day free trial.
Yes. The tool works for any brand name, not only your own. Check competitors one at a time and compare the results, or use the full Brand24 platform to compare competitors side by side and over time.
Yes. Anything people write about works: a product name, a campaign hashtag, a public figure. Use the name people actually use online, because that's what appears in the mentions.
Yes. Every result has its own link, so copying it is enough to send someone the exact reading you're looking at. You can also download the result as a PNG, JPG or PDF.
Each of the brand's most recent online mentions is classified as positive, negative or neutral. The tool then shows each group as a share of all those mentions, so the three numbers add up to 100%.
The verdict compares only the positive and negative mentions. A brand “leans” one way when that side outnumbers the other at least two to one, and is “mostly” that way at four to one. Anything closer is “Mixed”.
Because most of what is published about a brand informs rather than judges: news, announcements, product listings, questions and passing references. In the Brand24 Sentiment Snapshot of 12 well-known brands, neutral mentions averaged 69%. A large neutral share is normal.
There isn't a universal benchmark. An airline, a bank and a sneaker brand attract very different conversations. Comparing a brand with its direct competitors, and with its own results over time, says more than any single number on its own.
It means no recent mentions of that name were found, so there is nothing to sort. Check the spelling, or try the name people actually use online. Very small and very local brands often have too little recent public content for a reading.
Sarcasm, irony, slang and posts that mix praise with criticism are hard to classify for people and machines alike. Across many mentions these cases matter less, which is why the split works best as an overall picture. To check a specific mention, read it in Brand24.
From Brand24's own social listening and media monitoring data collection, the same source the paid platform uses. The free tool runs a narrower version of it: a recent snapshot only, no history, no filters and no access to the mentions.
Once a day. Every check of the same brand on the same day returns the same result, and the date of the reading is shown next to it. The full Brand24 platform updates sentiment in real time.
Not in the free tool. It gives you one reading, taken now. Tracking how sentiment moves day after day, and what caused each change, is what the full platform is for.
Sentiment analysis is one part of them. Social listening and media monitoring collect every individual mention so a team can read and react to specific ones. Sentiment analysis sums up the tone of all those mentions. The free tool gives that summary, and the full Brand24 platform gives both.
Read the “What people criticized” summary first, because it usually points to one or two main topics. Then check whether the issue is new or long-standing, and whether competitors get the same complaints. If negative mentions keep growing, treat it as a reputation issue and plan a response before it becomes a crisis.
Yes. AI assistants answer questions about a brand mostly from third-party content: reviews, forums, news and social media. A Previsible analysis of 10,000 ChatGPT responses found third-party sources dominated sentiment questions for established brands. The tone of your online mentions shapes the tone of those answers.