Kimola vs. Mention
See how Kimola compares to Mention and goes beyond tracking mentions to turn social and web conversations into enterprise-grade market research.
Compare Kimola to Mention
Kimola is an AI platform that turns customer feedback into enterprise-grade market research. Mention is built to monitor where and how often your brand is mentioned; Kimola uses social and web conversations as research data to explain why people say what they say.
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KimolaMention
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Collect conversations by keywords and hashtags across all digital platforms, from Instagram to news sites, blogs, forums and more.
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Collect DMs, comments and brand mentions instantly from multiple sources, Facebook, Instagram, X, Linkedin and more.
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"Most tools only provide basic sentiment analysis — a simple positive, negative, or neutral score for each comment. Kimola goes far beyond that. Kimola automatically clusters conversations by themes with sentiment too, allowing you to instantly see what customers are talking about and why. "
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Analyze social media feedback by themes, cluster conversations automatically to reveal customer insights.
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Track product reviews from 20+ sources such as Amazon, Google Business, Wildberries, Macy's, JC Penney, Kohl's, Walmart, Costco and more, analyze them by themes and sentiment automatically.Kimola automatically clusters conversations by themes with sentiment too, allowing you to instantly see what customers are talking about and why. "
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Kimola's daily reports include key themes, dimensions and summaries not just a list of new mentions. Get alerts when conversation volume spikes or when negative sentiment increases, plus daily reports that include an executive summary.
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Upload excel files and analyze truly any type of customer feedback—reviews, surveys, app-store comments, support tickets, e-commerce feedback, social posts, and more. Regardless of the format or source, process all feedback seamlessly and turn it into clear, actionable insights.
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Scraping feedback from multiple sources and analyzing instantly from e-commerce sites, review platforms, mobile app stores, rating platforms saves valuable time and makes the research process far more efficient and effective.
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Kimola offers the whole process to collect, scrape, analyze and report social media feedback. Analyze with one click, export to PDF, Powerpoint, Excel, CSV and more.
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Kimola not only analyzes social media feedback automatically but also generates structured pain points, feature requests, usage motivations and maps the customer journey,
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Kimola is designed for everyone—from small teams to large enterprises. With transparent plans starting at $49 and scalable enterprise options, it’s trusted by 1000+ companies across 90+ countries, making it easy to start collecting and analyzing feedback and gaining insights immediately.
Starting at $49Starting at $599
No AI Training
Kimola needs no AI training to classify customer feedback. It automatically generates clusters based on the context rather than using pre-defined labels.
No Data Hustle
Scraping reviews from leading platforms like Amazon, Google Business, Trustpilot, Tripadvisor, Google Play, and the App Store is a smooth process in Kimola.
Collect, Upload or Integrate User Feedback
Kimola tracks conversations across social media, news sites, blogs, and forums, helping you stay informed about discussions around your product. Users can also enter links from platforms like Trustpilot, Google Play, and the App Store to continuously monitor user feedback.
For those already collecting user feedback, Kimola allows direct dataset uploads in Excel, CSV, or TSV formats to create structured qualitative research reports. Additionally, users can integrate their Google Sheets, Zendesk, or Intercom accounts, seamlessly connecting existing user interactions to Kimola for in-depth analysis.
Sentiment and Themes with Aspect-Based Accuracy
Kimola assigns sentiment for each theme in a single user feedback, ensuring you capture every detail—what users like, dislike, and why. Even when a user mentions different topics within the same review, Kimola successfully breaks down feedback into multiple aspects and accurately assigns sentiment to each, so no insight is lost!
Learn about Aspect-based Sentiment Analysis
Kimola's Dynamic Classification™ technology understands context and generates relevant theme clusters without relying on pre-defined categories. It adapts to any dataset, eliminating the need for manual labeling or data annotation. This ensures precise categorization of unstructured feedback from online reviews, surveys, and social media—without human error.
Summaries, Pain Points, Motivations and more
Kimola analyzes large-scale feedback and generates structured executive summaries around key topics and themes. Unlike generic AI-generated text, Kimola offers summaries with sub-sections and with sentiment and content classifications, which provides clarity, focus, and actionable insights.
Learn more about Executive Summary
Kimola analyzes user feedback to reveal what drives purchases, what causes frustration, and how your product is positioned in the market. AI-driven analysis detects patterns across any number of reviews, highlighting key motivations, recurring pain points, and competitive advantages.
Kimola analyzes customer feedback through a four-stage journey framework—Discovery, Purchase Experience, Usage & Support, and Loyalty & Advocacy. By applying its proprietary scoring algorithm, Kimola classifies feedback into these stages to reveal how customers perceive each step, measure satisfaction levels, and pinpoint the critical moments that define brand relationships.
Get Automated Reports & Alerts
Stay informed without the hassle. Receive automated reports summarizing mentions in their original language. Set up alerts based on keywords, influence levels, or sudden volume spikes, ensuring you never miss a critical mention.
Analyze Multilingual Datasets
Kimola seamlessly analyzes datasets containing customer feedback in multiple languages. No need to segment feedback based on language—simply upload your dataset, and our AI processes all entries together, delivering insights in a unified format. This allows for a more comprehensive understanding of customer sentiment across diverse markets.
Bring the feedback you already have.
Organize feedback like a research team.
See the people behind the feedback.
See how teams turn different kinds of feedback into research.
Plans vary by query limits, data tracking, analysis and support options.
- 150 queries/month
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- Track Mentions
- Track Reviews
- Custom AI Models
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- TRACK
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- Automated Reports & Alerts
- Integrations
- Scrape Customer Feedback
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- ANALYZE
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- Aspect-based Sentiment
- Topic & Theme Detection
- Pretrained AI Models
- 30+ Language Support
- Excel, PDF and PowerPoint Export
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- INSIGHTS
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- Executive Summary
- Personas
- Pain Points
- Usage Motivations
- 10+ others
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- ADVANCED
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- API
- Role-based Access
- User Logs
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- SUPPORT
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- Support Tickets (5 week-days SLA)
- Onboarding
- Account Manager
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- LEGAL
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- Custom Agreement
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Basic$ 49 /monthbilled monthly
- 3,000 queries/month
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- 3 keywords
- 5 links
- 1 Custom AI Model
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- TRACK
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- Automated Reports & Alerts
- Integrations
- Scrape Customer Feedback
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- ANALYZE
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- Aspect-based Sentiment
- Topic & Theme Detection
- Pretrained AI Models
- 30+ Language Support
- Excel, PDF and PowerPoint Export
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- INSIGHTS
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- Executive Summary
- Personas
- Pain Points
- Usage Motivations
- 10+ others
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- ADVANCED
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- API
- Role-based Access
- User Logs
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- SUPPORT
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- Support Tickets (72-hour SLA)
- Onboarding
- Account Manager
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- LEGAL
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- Custom Agreement
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Standard$ 179 /monthbilled monthly
- 12,000 queries/month
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- 10 keywords
- 15 links
- 3 Custom AI Model
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- TRACK
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- Automated Reports & Alerts
- Integrations
- Scrape Customer Feedback
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- ANALYZE
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- Aspect-based Sentiment
- Topic & Theme Detection
- Pretrained AI Models
- 30+ Language Support
- Excel, PDF and PowerPoint Export
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- INSIGHTS
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- Executive Summary
- Personas
- Pain Points
- Usage Motivations
- 10+ others
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- ADVANCED
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- API
- Role-based Access
- User Logs
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- SUPPORT
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- Support Tickets (48-hour SLA)
- 1 hour onboarding/month
- Account Manager
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- LEGAL
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- Custom Agreement
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Business$ 359 /monthbilled monthly
- 30,000 queries/month
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- 15 keywords
- 30 links
- 5 Custom AI Model
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- TRACK
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- Automated Reports & Alerts
- Integrations
- Scrape Customer Feedback
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- ANALYZE
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- Aspect-based Sentiment
- Topic & Theme Detection
- Pretrained AI Models
- 30+ Language Support
- Excel, PDF and PowerPoint Export
-
- INSIGHTS
-
- Executive Summary
- Personas
- Pain Points
- Usage Motivations
- 10+ others
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- ADVANCED
-
- API
- Role-based Access
- User Logs
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- SUPPORT
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- Support Tickets (48-hour SLA)
- 2 hours onboarding/month
- Account Manager
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- LEGAL
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- Custom Agreement
Enterprise plans include custom contracts, flexible payment options, a dedicated account manager, role-based access controls, and full API usage. Contact us to learn how Kimola can support your organization at scale.
Frequently Asked Questions
About Mention
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Why should I sign up for Kimola instead of Mention?
Kimola gives you deeper customer insights by not only tracking social mentions like Mention does, but also scraping and analyzing data from e-commerce sites, review platforms, forums, and social networks, all in one place. Its AI-driven thematic analysis, automated summaries, and broader data collection make it a better choice if you need actionable research insights, not just mention alerts and basic sentiment tracking.
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Which tool would be the best tool to collect and analyze e-commerce reviews?
Kimola combines automated collection and AI-enabled insights in a single workflow for e-commerce brands. Kimola has integrations with Kohl's, Walmart, JC Penney, Macy's, Costco and many more e-commerce channels.
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How do Mention and Kimola differ in pricing for analysis volume?
Mention’s pricing increases with monitoring volume and data sources. Kimola offers significantly more affordable analysis packages, especially for large volumes of customer feedback.
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Which tool would be the best tool to collect and analyze product reviews?
Kimola lets you scrape or collect (continuously) product reviews directly from platforms like Amazon, Google Play, App Store, Trustpilot, and more by entering a product URL — no separate scraping tool needed.
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Do Mention and Kimola offer AI-powered text analysis?
Mention offers basic sentiment and keyword analysis. Kimola provides deeper AI-driven thematic analysis, clustering, summaries, and statistical insights.
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Do Mention and Kimola integrate with internal workflows?
Mention focuses on publishing, scheduling, and monitoring workflows. Kimola focuses on collecting social, e-comm and web data and analysis of customer feedback with one, unified platform.
Turn customer feedback into structured market research in 30+ languages—no AI training needed.
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