Facebook AI Comment Analysis
Find a Facebook page to generate a comment analysis for. Note this free version only works with organic, if you would like to run a larger report, or include ads you must make an account.
Sijo
Comment Analysis Report
E-commerce website
Data from Nov 26, 2019 to Jan 1, 2026
Sentiment Distribution
Score Breakdown
General Analysis
The feedback reveals a mix of enthusiastic endorsements and frustrations primarily centered around product durability and customer service issues such as discount code functionality and stock availability. Many customers applaud the quality and aesthetics, praising sheets as the best they have owned and expressing excitement and gratitude. However, several complaints focus on sheets wearing thin, tearing prematurely, unresponsive warranty or replacement offers, and concerns about product sizing or washing instructions. Questions regarding product features and availability suggest a demand for enhanced communication and clearer information from the brand. The overall sentiment cluster indicates opportunities to strengthen customer trust through quality assurance, transparent communication, and improved support to complement a solid base of loyal and satisfied customers.
Customer Avatar
Six skimmable audience signals from posts and comments
Cross-channel signals
Public reputation and audience activity beyond Facebook comments
Facebook comments reflect enthusiasm for product quality and customer care.
Google reviews emphasize durability and longtime satisfaction but reveal some service questions.
Instagram signals show modest engagement with a steady, image-driven lifestyle focus.
Calculated from up to 12 recent public posts returned by Meta; hidden counts are excluded.
Negative Comments