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The all-in-one social marketing platform to visually plan, schedule, and analyze your social growth with AI.
Scale social media management through AI-driven automation and unified customer service workflows.
NapoleonCat is a comprehensive social media management platform engineered for mid-market and enterprise-level scaling. Its technical architecture centers on a high-throughput unified inbox that aggregates data from Facebook, Instagram, LinkedIn, X (Twitter), TikTok, YouTube, and Google Business Profile. By 2026, the platform has solidified its position as a market leader in 'Auto-moderation'—a rule-based AI engine that processes incoming social interactions to hide spam, delete offensive content, and provide automated responses based on NLP triggers. The platform's back-end utilizes robust API integrations with major social networks to provide real-time data synchronization. Its reporting engine allows for deep granular analysis, capable of benchmarking competitive performance through proprietary engagement metrics. NapoleonCat differentiates itself through its pricing scalability, allowing teams to modulate costs based on profile volume and user seats, making it a favorite for agencies managing diverse client portfolios. The infrastructure is built for high reliability and low latency, ensuring that customer service teams can maintain sub-minute response times during peak engagement periods.
A rule-based automation engine that utilizes keyword matching and pattern recognition to filter, delete, or reply to social media comments and messages.
The all-in-one social marketing platform to visually plan, schedule, and analyze your social growth with AI.
Unified Social Media Management for Agile Teams and Multi-Channel Content Strategy.
The all-in-one real estate CRM and marketing automation system built for high-performance agents.
The premier influencer marketing ecosystem for discovery, contract management, and generative AI content creation.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Aggregation of DMs, comments, and mentions into a single stream with real-time WebSocket updates.
Data aggregation of competitor profile metrics via public API scraping and official endpoints.
Scheduled engine that generates formatted performance reports based on selected KPIs.
Specialized tracking of comments specifically on Facebook and Instagram paid ad posts.
Internal ticketing system with 'Assign to' and 'Internal Note' capabilities for collaborative support.
Centralized API hub for responding to and tracking reviews across hundreds of physical locations.
A retail brand spends $50k/day on Facebook Ads, resulting in thousands of spam/offensive comments that lower conversion rates.
Registry Updated:2/7/2026
A support team takes 12 hours to respond to DMs because they are spread across 5 different platforms.
A marketing team doesn't know why their engagement is lower than their primary rival.