Mentions

Product Introduction

1. Mentions is an AI-powered monitoring tool that tracks brand mentions, topics, and individuals across digital media platforms in real time. It employs advanced sentiment analysis to categorize mentions as positive, negative, or neutral, enabling users to gauge public perception instantly. The platform supports multilingual tracking, including English, and allows users to monitor specific queries such as "Nike sustainability -'greenwashing' site:reuters.com" for targeted insights.
2. The core value of Mentions lies in its ability to transform unstructured digital data into actionable insights for brand management. By automating sentiment analysis and competitive benchmarking, it reduces manual effort and provides real-time visibility into brand reputation, competitor strategies, and emerging trends.

Main Features

1. Mentions uses AI to scan and analyze text, images, and videos across news sites, blogs, and social media, delivering sentiment scores (e.g., 85% positive) within seconds. Its NLP models detect contextual nuances, such as sarcasm or mixed emotions, to ensure accurate sentiment categorization.
2. The competitive analysis feature benchmarks brands against up to five competitors, calculating metrics like share of voice (e.g., 32% market presence) and audience sentiment trends. Users receive side-by-side comparisons of trending topics (e.g., "ESG news" vs. "greenwashing") to identify strategic gaps.
3. Advanced search operators enable precise monitoring, such as excluding terms (e.g., -"greenwashing") or restricting results to specific domains (e.g., site:reuters.com). Users can track complex queries like "Tesla Apple earnings" or "climate change policy updates" with real-time alerts.

Problems Solved

1. Mentions eliminates the inefficiency of manual brand monitoring by automating data collection and analysis across 500+ global media sources. Traditional methods requiring hours of social media scraping or news monitoring are reduced to real-time AI processing.
2. The tool is designed for marketing teams, PR agencies, and corporate strategists needing to track brand health, crisis management signals, or competitor movements. It also serves researchers analyzing trends like "crypto market fluctuations" or "startup funding patterns."
3. A typical use case involves a brand detecting a sudden spike in negative sentiment around "vaccine research" mentions, triggering a PR response. Another scenario includes benchmarking a startup’s share of voice against industry leaders in "sustainable tech."

Unique Advantages

1. Unlike tools limited to social media or basic sentiment scoring, Mentions integrates news, blogs, and video content with granular filters (e.g., language, region). Competitors like Brandwatch or Hootsuite lack its real-time competitive benchmarking against five rivals.
2. The platform’s AI models are trained on industry-specific jargon, enabling precise analysis of niche topics like "FIFA World Cup sponsorships" or "biotech patent filings." It also updates sentiment scores every 15 seconds, outperforming hourly/daily refresh cycles in similar tools.
3. Competitive advantages include a proprietary Share of Voice algorithm weighting virality and source authority and customizable dashboards for tracking metrics like "audience sentiment overlap" with competitors.

Frequently Asked Questions (FAQ)

1. How does Mentions ensure sentiment analysis accuracy? The AI combines NLP with contextual clustering, distinguishing between literal and figurative language (e.g., "This product is fire" as positive). Sentiment scores are validated against a database of 10M+ labeled data points.
2. Can I track competitors in non-English markets? Yes, Mentions supports sentiment analysis for 12 languages, including Spanish and Mandarin, and benchmarks competitors globally. Users can filter results by region (e.g., "EU vs. APAC sentiment trends").
3. What search operators are supported? Operators include exact phrases ("Tesla earnings"), exclusions (-"layoffs"), domain restrictions (site:bloomberg.com), and Boolean logic (AND/OR). Complex queries like "startup funding AND (AI OR blockchain)" are processed in real time.