GBP Reviews Sentiment Analyzer

About

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 ~60 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.

GBP Sentiment Analyzer v3 — What's New

2-Month Analysis Window — Now scrolls and collects all reviews from the last 2 months (up from ~30 days), giving you a deeper dataset for analysis.

Semantic Topic Clusters — Replaced basic word frequency with intent-based topic clustering. Reviews are grouped into meaningful themes like "Customer Service," "Value & Pricing," and "Results & Outcomes" — aligned to informational, transactional, and comparative search intent.

Content Opportunities — New section that generates actionable content ideas based on your review data. Highlights real differentiators (e.g., "organic," "house-made") as USPs, not generic products or services. Covers suggestions for social media, website copy, testimonials, team spotlights, and more.

Sentiment Summary — A plain-language paragraph summarizing the overall sentiment distribution, top themes, and standout descriptors at a glance.

Multi-Sheet Excel Export — Export now downloads a single .xls file with 5 organized sheets: Overview, Topic Clusters, Content Opportunities, Reviews, and Keywords. Each review row includes the Business Name, making it easy to combine multiple exports and compare competitors side by side.

Owner Response Filtering — Business owner replies (e.g., "Thank you for your 5-star review") are now automatically detected and excluded from the dataset so they don't skew your analysis.

Cleaner Data Extraction — Google Maps metadata like sub-ratings, meal types, parking options, and category labels are stripped out before analysis, so your clusters and insights are based on actual review content only.

🧭 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.