RSSMasher Ratings (September 2025)
This page breaks down RSSMasher ratings from all verified review sources to give you a clear, unbiased view of what real users think in September 2025.
We’ve aggregated the latest scores from all major platforms like Trustpilot, G2, Capterra and many more to help you understand RSSMasher’s overall reputation. This data-driven overview will show you exactly how RSSMasher is rated - including how it compares to competitors.
RSSMasher's Overall Rating Summary
- Average Rating:4.9/5
- Total Reviews:14 reviews
- Sources:G2
- Last updated:September 1, 2025
RSSMasher Ratings by Source
| Platform | Rating | Reviews | Last Update |
|---|---|---|---|
 G2 | 4.9/5 | 14+ reviews | 01.09.25 |
What is RSSMasher?
RSSMasher Technology offers an autoblogging platform that automatically curates and posts popular RSS feeds to websites and social accounts, featuring capabilities like Money Hook Technology, Anchor Text Linking, and Turbo Post Scheduler. It includes tools for AI-generated content, social media backlinks, and customizable HTML tokens, with advanced features such as Google Sheets to RSS Feed conversion and powerful keyword filtering. The platform supports integration with Zapier webhooks and provides a set-and-forget automation system for maintaining large news and niche sites.
🤔 RSSMasher vs Competitors: How Do Ratings Compare?
Check out RSSMasher AlternativesFrequently Asked Questions
How trustworthy is RSSMasher?
According to G2 review site RSSMasher holds rating of 4.9/5, highlights excellent reputation and user approval as of September 2025.
How many stars is RSSMasher rated?
RSSMasher has an average star rating of 4.9 out of 5 stars based on average of 14 reviews as of September 2025.
Where does the rating data come from?
The ratings are pulled from RSSMasher public reviews pages on platforms: G2. We update these ratings monthly to ensure they reflect the most current customer feedback.
How overall average rating for RSSMasher is calculated?
The overall average rating is calculated by taking the weighted average of all ratings, using the total reviews count from each platform as the weight.