RedNote Brand Reputation Monitoring: the Sentiment Report Tool
What do users say about your brand? RedNote (Xiaohongshu) comments are far more honest than surveys — but reading them one by one is slow and misses the negatives. The Rnote API online tool Brand Sentiment Report takes a brand/product keyword, collects comments on related notes, and analyzes sentiment split, top praise and complaints, with representative comments — no-code reputation monitoring.
What's in the report
- Sentiment split — Positive / negative / neutral share, shown as a doughnut chart.
- Top praise — Points users repeatedly compliment (green tags).
- Top complaints — Points users repeatedly criticize (red tags).
- Representative comments — Real praise and complaints, picked by likes.
How to use it (no code)
- Log in and open the Brand Sentiment tool.
- Enter a brand/product/keyword and set how many related notes to analyze (more = a fuller comment sample).
- Confirm the estimate and generate — the sentiment chart, praise/complaint tags, and sample comments render on the page.
Typical uses
- Brands — Monitor reputation regularly and catch negatives and crisis signals early.
- Product / e-commerce — Mine real selling points and complaint traps from comments to improve product pages and support.
- Competitor benchmarking — Run the same analysis on competitors to see where their reputation is strong or weak.
For a full monitoring pipeline, see competitor & brand monitoring; to export raw comments and analyze them yourself, use Comment Export.
FAQ
Q: Is the sentiment accurate? A: It's a rule-based Chinese sentiment-lexicon analysis (with negation handling) — fast and free, but it can misread irony and complex context, so treat it as a reference. The report says so explicitly.
Q: Do I need to code? A: No. Developers can also build analysis from the comments endpoint.
Get started
Sign up free for credits and open Brand Sentiment to audit your brand's reputation. See pricing and the docs.