Brand sentiment is the key to understanding how your customers feel about your business, and tracking and improving it is crucial if you want to stay competitive.
Thankfully, it’s easy to do nowadays: you only need a social listening tool like EmbedSocial and an AI-powered chatbot like ChatGPT. You don’t need any experience to use them, as the process is automatic.
That way, you analyze your customers’ sentiments much faster and more accurately, which will ultimately help you adapt to their expectations and strengthen your brand.
By doing social media listening of mentions, hashtags, reviews, and more, you can affect the public’s perception in real-time. Thankfully, EmbedSocial simplifies this process a lot as it has a direct API connection to all major platforms.
So, keep on reading as I teach you everything you need to know about collecting, tracking, and improving your brand’s sentiment using AI and automation!
What is brand sentiment?
Put simply, brand sentiment is how people view and feel about your brand. That said, depending on whether this emotional response is positive, negative, or neutral, it can significantly affect your bottom line and your customer loyalty and retention.
You can measure your brand sentiment level based on any online discussion involving you and your customers, and the main online destinations to gather data for analysis include social media platforms, online forums, review sites, and more.
When it comes down to it, several factors influence your brand sentiment, such as your customer service, product quality, marketing efforts, and social media.
Remember: It’s much easier to ruin your brand sentiment than it is to build it back up, as a single negative experience spreads like wildfire and affects your brand’s social media reputation, whereas nurturing your customer trust and loyalty takes time.
Why should you nurture your brand sentiment?
So, why should you worry about maintaining a strong brand sentiment? In addition to enhancing your online reputation management, you get these benefits:
- Builds customer trust – a positive brand sentiment reassures customers and focus groups that your brand is reliable and credible;
- Influences purchasing decisions – consumers are more likely to buy from brands with strong positive sentiment;
- Improves customer retention – satisfied customers stay loyal, reducing churn and increasing lifetime value;
- Boosts organic brand advocacy – happy customers naturally promote your brand through word-of-mouth and social sharing;
- Enhances marketing effectiveness – positive sentiment strengthens the impact of campaigns and messaging;
- Helps brands recover from crises – established trust makes it easier to bounce back from negative brand mentions or mistakes;
- Strengthens competitive advantage – brands with a good reputation stand out in crowded markets.
As you can see, by building up your brand sentiment, you create a stronger emotional connection with your audience, boosting your engagement and business growth.
Plus, you identify trends, address issues proactively, and refine your messaging to align with your customers’ expectations. In a competitive market, that’s very important, as it gives you a strong advantage over your competitors via social proof!
How to measure brand sentiment via EmbedSocial and ChatGPT?
Understanding brand sentiment goes beyond counting likes, reviews, or customer testimonials—it requires analyzing the tone, context, and emotions behind customer feedback.
This is where AI-driven sentiment analysis and social listening tools like EmbedSocial come in, helping businesses track and interpret public perception at scale.
Once you create an EmbedSocial account and start tracking all relevant social media channels, you can do a lot in terms of analyzing your brand sentiment!
First of all, you have to download the reports you will use for your analysis, which is very straightforward, as it literally takes less than a minute to do:
Step 1: Access the ‘Reports’ section in EmbedSocial
Firstly, you have to navigate to the ‘Reports’ section from the left-hand menu:
Step 2: Choose the source for your analysis data
Then, you have to select one or multiple social media sources to analyze:
Step 3: Download the report locally
Finally, you have to choose the data range and file type and download your report.
Now, the only thing to do is plug the corresponding reports into ChatGPT and just type simple prompts to get the analyses along with all the diagrams you need!
Keep on reading below as I cover 5 practical examples of that!
Top 5 examples of effective brand sentiment analysis
Now, you can start leveraging ChatGPT’s natural language processing capabilities to summarize the sentiment around your brand on major social media platforms.
Take a look at the following five instructional videos on what to do:
1. Analyzing your Instagram brand sentiment
We’ll start with Instagram, as it’s one of the biggest platforms out there:
Learn more:
How to Track Instagram Hashtags for New Industry Trends in 2025
How to Track Instagram Mentions to Get UGC & Insights in 2025
2. Brand sentiment tracking on Threads
Threads has also been making changes for businesses, so you should track it:
Learn more:
Threads Monitoring: How to Search, Track & Collect Mentions & Keywords
3. Analyzing your YouTube video sentiment
If you work with visual media, YouTube is the main platform you should be analyzing:
Learn more:
YouTube Hashtag Analytics: How to Unlock Insights In Seconds?
4. Brand sentiment measurement on Facebook
Despite being older, Facebook remains an essential source of sentiment:
5. Measuring brand sentiment on X
Despite the controversy surrounding X, it remains a crucial brand platform.
Top 5 strategies to improve your brand sentiment
Takes time to build up your brand sentiment, as it requires consistent engagement, smart content strategies, and a customer-first approach.
That said, here are five powerful ways to improve how your brand is perceived, with real-life scenarios showing their impact:
Monitor and respond to audience feedback
The right social media monitoring tools will allow you to track and embed your brand mentions, customer conversations, and industry trends in real time.
By monitoring platforms like Instagram, Facebook, Threads, X, YouTube, and Reddit, you can understand public sentiment and respond to concerns before they escalate. Plus, responding to customer reviews on Google, and any other review platform—both positive and negative—demonstrates that your brand values its audience.
Real-life scenario: Imagine a coffee brand notices a surge of negative brand sentiment posts about their new packaging on social media. Using a social listening tool, they quickly identify the main concern—customers find the new lid difficult to use. By addressing the issue publicly and promising improvements, they prevent widespread dissatisfaction.
Organize social media content to reflect brand values
Your social media presence is often the first impression potential customers have of your brand. A well-organized content strategy ensures messaging remains consistent, reflects brand values, and engages your audience in a meaningful way. This involves curating customer testimonials, aligning posts with brand messaging, and reinforcing your brand’s identity.
Real-life scenario: A sustainable fashion brand wants to reinforce its commitment to eco-friendly practices by curating posts that highlight its ethical supply chain, collecting customer testimonials, and organizing environmental initiatives. That way, they strengthen their brand sentiment and build a loyal audience that shares their values.
Encourage UGC through hashtag contests
Hashtag contests are a great way to boost engagement, create brand awareness, and generate authentic content from customers. When users share their own experiences with a brand, it builds credibility and fosters a sense of community. Collecting UGC and displaying it online shows potential customers that you see them as real people.
Real-life scenario: A fitness brand launches a #MyFitnessJourney contest, encouraging customers to share their transformation stories using their products. By following UGC’s best practices, they generate posts on their website and social media to amplify positive sentiment, increase reach, and build trust with potential buyers.
Personalize customer experiences
Personalization makes your customers feel valued and strengthens your mutual connection. Whether through customized product recommendations, tailored emails, or exclusive loyalty rewards, businesses that prioritize personalization build stronger relationships.
Real-life scenario: A beauty brand analyzes customer purchase history and sends personalized skincare recommendations based on previous orders. By providing relevant product suggestions and exclusive discounts, they increase customer satisfaction.
Develop corrective marketing campaigns
Even the best brands face PR crises from time to time. In such cases, organizing corrective marketing campaigns helps repair brand sentiment by addressing concerns transparently and demonstrating real improvements. For instance, a well-executed response to a bad review can turn a negative sentiment into an opportunity for renewed trust.
Real-life scenario: A popular food delivery service experiences backlash due to late deliveries during peak hours. Instead of ignoring complaints, they launched a “We Hear You” campaign, offering improved tracking features, faster delivery options, and personalized discount codes for affected customers. As a result, they rebuild their lost customer trust.
Bonus strategy: Embed your social media mentions on your website!
One step that will help you elevate your brand sentiment is gathering all the positive experiences customers have had with you and embedding them on your website!
EmbedSocial simplifies that process, as you only have to create a website widget using the content you’ve gathered previously and then copy its embeddable code:
Learn more:
How to Embed Instagram Mentions for E-Commerce Brands in 2025
What are the best brand sentiment analysis tools out there?
Measuring and improving brand sentiment requires the right tools. These platforms help businesses track customer perceptions, monitor conversations, and analyze sentiment in real-time.
Here are five top tools that can enhance your brand sentiment strategy:
1. EmbedSocial – Best for aggregating and showcasing customer sentiment
EmbedSocial provides businesses with powerful tools to collect, monitor, and embed UGC from social media, customer reviews, and mentions. It helps brands leverage positive sentiment by embedding real customer feedback on their websites:
Key features:
- Social media listening for brand mentions
- Automated review management from Google, Facebook, and more
- Shoppable UGC widgets to boost brand trust
- AI review response generator
2. Brandwatch – Best for AI-powered sentiment analysis
Brandwatch offers advanced AI-driven sentiment tracking that helps businesses analyze online conversations across social media, blogs, forums, and news sites. It provides deep insights into consumer sentiment trends and emerging topics:
Key features:
- AI-driven sentiment analysis across multiple platforms
- Competitor benchmarking and trend monitoring
- Real-time alerts for brand mentions
3. Sprout Social – social media sentiment tracking
Sprout Social combines social listening and analytics to help brands monitor sentiment in real-time. Its intuitive dashboard allows businesses to track customer feedback and measure engagement across platforms, thus identifying new opportunities for growth:
Key features:
- Social media monitoring for sentiment trends
- Customizable reporting on audience perception
- Engagement tools for responding to mentions
4. Brand24 – tracking brand reputation across the web
Brand24 specializes in tracking brand sentiment across social media, forums, blogs, and review sites, and provides a sentiment score that helps you gauge your public’s perception:
Key features:
- Real-time brand sentiment analysis
- Insights from online reviews, news, and discussions
- AI-based emotion detection in customer feedback
5. Mention – monitoring brand sentiment across multiple languages
Mention allows businesses to track brand mentions in real-time across social media, news websites, and blogs, even in different languages. It helps brands analyze both positive and negative feedback globally so that they make smarter, more strategic decisions.
Key features:
- Multi-language sentiment tracking
- Custom alerts for brand and competitor mentions
- Integration with social media for easy engagement
Features to look for in sentiment analysis platforms
If you need to do some serious brand sentiment analysis, focus on tools for accurate tracking, measuring, and improving your brand sentiment. Here are the key features to look for when choosing a sentiment analysis platform:
AI-powered sentiment detection
Advanced tools use natural language processing (NLP) and machine learning to analyze customer feedback with accuracy. AI-powered sentiment detection can identify emotions, context, and nuances in text, ensuring a deeper understanding of how customers feel.
Multi-platform monitoring
Your audience talks about your brand across multiple channels—including social media, review sites, forums, blogs, and news platforms. A good sentiment analysis tool should organize all your social media content in one place for a complete view of brand perception.
Real-time alerts and reporting
Sentiment can shift quickly, especially in fast-moving industries. Look for a platform that offers real-time alerts for spikes in positive or negative sentiment, allowing your team to react swiftly to potential PR crises or customer concerns.
Competitive benchmarking
Knowing how your brand is perceived compared to competitors can provide valuable insights. Sentiment analysis tools with benchmarking help businesses track industry trends, competitor sentiment, and market positioning to adjust their marketing strategies.
Sentiment breakdown and emotion analysis
Beyond positive, neutral, and negative classifications, some platforms provide detailed emotion analysis (e.g., joy, frustration, anger, excitement). This helps brands understand the deeper feelings behind customer feedback and tailor responses accordingly.
Integration with marketing and customer support tools
A sentiment analysis platform should seamlessly integrate with social media management tools, CRM systems, and customer support platforms. This ensures that businesses can act on sentiment insights directly and resolve them without any friction.
Conclusion: Build trust and drive engagement with brand sentiment!
Brand sentiment is not only a metric you should look at from time to time—it’s a genuine reflection of how your customers truly feel about your business.
Therefore, to understand and enhance it, you should constantly monitor it and engage with the public strategically. Thankfully, there are AI-driven solutions you can adopt, such as various social listening tools and ChatGPT for deeper analysis.
Plus, you need a review autoresponder tool to help you maintain your positive online reputation and brand sentiment at optimal levels!
Well, EmbedSocial has you covered with most of them, thus allowing you to get ahead of negative trends and bolster your positive interactions.
After all, proactively managing your brand sentiment ensures your brand maintains a strong reputation and builds customer loyalty and trust over time.
So, start listening, analyzing, and connecting with your target audience to create a brand that leaves a positive impression in every interaction!
FAQs about brand sentiment
What does brand sentiment mean?
Brand sentiment refers to the overall perception and emotions people associate with your brand. Typically, it’s measured from your customer reviews, social media mentions, and online conversations, indicating whether the sentiment is positive, negative, or neutral.
How do you measure brand sentiment?
Brand sentiment is measured by analyzing customer feedback, social media mentions, and online reviews using sentiment analysis tools. These tools use AI and natural language processing (NLP) to determine the emotional tone of conversations about a brand.
What is sentiment analysis?
Sentiment analysis is the process of using AI and natural language processing (NLP) to determine whether text-based content expresses a positive, negative, or neutral emotion. Businesses use it to analyze customer feedback, social media mentions, and online reviews, helping them track public perception and make data-driven decisions.
What is a good brand sentiment score?
A good brand sentiment score depends on the platform and industry, but generally, a high percentage of positive sentiment (above 70%) indicates strong customer perception. A balanced mix of positive and neutral sentiment with minimal negative feedback is ideal.