Audience
Solo creators & influencers, Talent managers, PR & social media agencies, Brands & enterprise/media organizations
About AuraWatcher
AuraWatcher is an AI reputation-monitoring tool that scans the comment sections of public social media profiles (currently TikTok) to detect reputation risks before they spread. Instead of keyword matching, its language-model engine interprets sarcasm, irony, and slang, sorting comments into threat types—harassment, legal risk, boycott calls, physical threats—and scoring each 1–100 by severity, reach, and velocity. Surge detection flags coordinated pile-ons and tells fresh hostility apart from resurfaced older comments. Users add any public profile by handle (no logins or passwords), and the tool monitors recent posts at set intervals, scanning the most visible comments. When activity crosses a custom threshold, alerts arrive by email, browser push, or Telegram, each with a plain-language summary. A dashboard tracks trends, open alerts, resolution time, and per-profile status. Agency and enterprise tiers add multi-profile management, team collaboration, and custom integrations.
