Kolsquare
The data-driven influencer marketing suite for scaling global creator partnerships.
Real-time AI-powered brand monitoring and social intelligence for global market dominance.
Mentionlytics is a sophisticated social media monitoring and web tracking platform that leverages proprietary Natural Language Processing (NLP) and the 'Social Intelligent Advisor' (SIA) to provide actionable brand insights. By 2026, the platform has matured its AI-driven sentiment analysis to handle high-velocity data streams across TikTok, Reddit, News, and the Dark Web. The technical architecture is built on a distributed crawling engine that processes millions of data points hourly, categorizing them based on emotional intent, reach, and influence. It differentiates itself through 'SIA,' an automated consultant that detects anomalies in brand sentiment and suggests specific marketing actions. The platform serves mid-market to enterprise-level organizations requiring deep-dive competitor benchmarking and real-time crisis detection. With the shift toward decentralized social platforms, Mentionlytics has expanded its API-first approach, allowing seamless ingestion of diverse data formats and integration into corporate BI stacks. Its 2026 market position is solidified as a high-accuracy, cost-effective alternative to top-tier enterprise suites like Brandwatch, offering similar depth in Boolean search and automated reporting without the six-figure entry cost.
A proprietary AI engine that interprets mention spikes and sentiment shifts to provide textual advice on marketing strategy.
The data-driven influencer marketing suite for scaling global creator partnerships.
The industry's most sophisticated AI-driven influencer intelligence and management platform.
Real-time AI sentiment intelligence for institutional market alpha and risk management.
Advanced Influencer Analytics and Audience Quality Intelligence Platform
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Processes mentions in 50+ languages using specialized neural networks for local slang and context.
Quantifies the 'Brand Impact' of users mentioning specific keywords using reach and engagement metadata.
Complex logical operator support (AND, OR, NOT, NEAR) for precise data scraping across the web.
Side-by-side visualization of Share of Voice (SoV) and Sentiment across multiple brands.
CSS-customizable reporting portal and PDF generator for agencies to present results under their own branding.
Machine learning algorithms that establish a baseline for mention volume and trigger alerts when standard deviations are exceeded.
Detection of negative viral sentiment before it reaches mainstream media.
Registry Updated:2/7/2026
Understanding market penetration relative to industry leaders.
Finding authentic voices in a specific niche like 'sustainable fashion'.