Overview
Analyze sentiment of Google Business Profile reviews with advanced analytics and export capabilities
Automatically analyze customer reviews on any GBP listing and identify sentiment trends—positive, negative, and neutral—using natural language processing (NLP). In seconds, you'll know what customers rave about, what frustrates them, and what needs attention for the past ~30 days. 📊 Key Features: 🚦 Sentiment detection 💬 Grouped review insights by topic (e.g. service, staff, pricing) 🔄 Real-time analysis on live GBP pages 🧠 NLP-powered for accuracy and speed 🛠 Perfect for local SEO audits, client reporting, and reputation management 🔍 Use it on competitor listings to uncover their strengths, weaknesses, and missed opportunities Stop guessing what your customers—or your competitors’ customers—are thinking. Let the GBP Reviews Sentiment Analyzer uncover patterns, pain points, and opportunities. 🧭 How to Use: 1. Install the extension from the Chrome Web Store. 2. Navigate to any Google Business Profile (GBP) listing on Google Search or Maps. 3. Scroll down and click into the "Reviews" section of the profile. 4. At the top of the reviews, click the sort dropdown and select “Newest." This step is required for the analyzer to read the data properly. 5. Click "Analyze Reviews." The extension will scan the most recent reviews (approx. past 30 days) and generate a sentiment summary. Privacy: This extension does not collect or store personal data, or any other data, from the webpages you browse.
Details
- Version2.0.0
- UpdatedDecember 15, 2025
- Offered bycelestexlili
- Size50.65KiB
- LanguagesEnglish (United States)
- DeveloperCeleste Gonzalez
8599 Haven Ave ste 306 Rancho Cucamonga, CA 91730-4849 USEmail
celestexlili@gmail.com - Non-traderThis developer has not identified itself as a trader. For consumers in the European Union, please note that consumer rights do not apply to contracts between you and this developer.
Privacy
This developer declares that your data is
- Not being sold to third parties, outside of the approved use cases
- Not being used or transferred for purposes that are unrelated to the item's core functionality
- Not being used or transferred to determine creditworthiness or for lending purposes
