What's great
Mention Network is fantastic because it pioneers the world's first decentralized data layer for tracking AI visibility, crowdsourcing real-world brand mentions from actual user interactions with LLMs via a privacy-first browser extension. Users earn Mention Points (and future $MENTION tokens) simply by sharing anonymized data, creating a rewarding "prompt-to-earn" model that benefits both everyday contributors and brands seeking accurate AI reputation insights. By solving the urgent problem of "AI invisibility" in an era where generative AI increasingly drives discovery and recommendations, it offers transparent, community-powered analytics that outperform centralized tools in authenticity and scale.
What needs improvement
Mention Network could be improved by addressing its cold start problem—accelerating user adoption of the browser extension through stronger incentives (e.g., higher initial Mention Points multipliers, referral bonuses, or partnerships with AI communities) to quickly build a larger, more diverse dataset for accurate AI Visibility Reports.
Data quality and anti-gaming measures should be enhanced with better verification (e.g., advanced anomaly detection, reputation scoring for contributors, or periodic audits) to prevent spam or low-effort prompts that dilute insights and erode brand trust in the system.