AuraWatcher
Catch TikTok comment crises before they blow up
AuraWatcher is an AI reputation monitor built for TikTok comments.
On TikTok a crisis rarely starts with a headline. It starts in the comments under your own posts, and it moves fast. A post catches the wrong mood, the comment section turns hostile, and by the time the team notices, it is already public. Broad listening tools track mentions across many platforms, but they miss the exact place where the damage begins.
AuraWatcher covers that gap. It watches the profiles you manage, reads their comments continuously, sorts every risk into seven threat categories, and detects sudden surges of negative sentiment. When something spikes, you get an alert by email, browser push, or Telegram, with a short summary of what is happening and why it matters. You act in minutes instead of finding out from a screenshot somewhere else.
Built for PR agencies, brands, and solo creators, from a single profile up to full agency portfolios.
Features
- AI risk categorization. Every comment is sorted into seven threat types, including harassment, boycott and cancel calls, allegations, legal threats, and physical threats.
- Real-time surge detection. Catches a coordinated pile-on early, with severity tiers, and tells fresh hate apart from resurfaced old comments.
- Multi-channel alerts. Email, browser push, and an instant Telegram bot, so the warning reaches you where minutes matter.
- AI alert summaries. Every alert comes with a plain-language briefing, so you understand the situation without scrolling through raw comments.
- Severity scoring and custom thresholds. Each comment scored from 1 to 100, weighted by reach and velocity, with a per-profile floor so you are pinged only above the level you care about.
- Live dashboard and analytics. 14-day trends, open-alert breakdown, average resolution time, and scan status for every profile.
- Multi-profile monitoring. From one profile up to 20, with faster monitoring intervals on higher plans.
- Client reporting. Exportable brand-safety reports you can hand to a client.
- No passwords needed. It analyses public comments only, so you never link accounts or share login details.
Use Cases
An agency protecting a client roster. You manage TikTok for several brands and cannot read every comment on every post. AuraWatcher watches all profiles at once and pings the account manager only when a specific client needs attention.
A product launch or campaign going live. Reaction to a new campaign is unpredictable. During launch week the monitor runs continuously, so if the comment section turns against the message, you know while it is still small enough to fix.
A brand in a sensitive moment. After a price change, a controversial ad, or a public apology, the comment section becomes the real thermometer. Surge detection shows whether anger is fading or building.
Out of hours coverage. Crises do not respect working hours. Telegram and push alerts mean a spike at 2am reaches a human instead of waiting until morning.
Proving your work to a client. Reports show what was flagged, how severe it was, and how quickly it was handled, which turns invisible monitoring work into something a client can see.
A solo creator protecting a brand deal. One hostile wave under a sponsored post can put a partnership at risk. The monitor flags it early, so you can respond before the sponsor notices.
Comments
Hi everyone, I built AuraWatcher because of one pattern that kept bothering me. On TikTok a brand's reputation almost never breaks in some official way. It breaks quietly, in the comments, and it moves fast. A post catches the wrong mood, the comment section turns hostile, and by the time the team notices, it is already a screenshot spreading somewhere else. The people responsible always find out last. So I looked at the tools that were supposed to catch this. They all had the same shape. They watch mentions across dozens of platforms, they cost a lot, and they still miss the one place where a TikTok crisis actually starts: the comments under your own posts. That felt wrong to me, so instead of building another broad listening suite, I built the narrow and sharp tool I wished existed. A bit from behind the scenes: the hardest part was not the scraping, it was teaching the AI to read like a person. Keyword tools mark sarcasm and slang as neutral, which is exactly how they miss the beginning of a pile-on. Most of my time went into risk categorization and into telling a real surge apart from normal noise, so that an alert actually means something when it arrives. I built the whole thing end to end as a solo founder, and it is now live. You can run a free scan on any public profile without a card and see the results in minutes. I would really value honest feedback, especially from people who manage brands on TikTok every day. What is missing for this to fit into your workflow?
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Comments
Hi everyone, I built AuraWatcher because of one pattern that kept bothering me. On TikTok a brand's reputation almost never breaks in some official way. It breaks quietly, in the comments, and it moves fast. A post catches the wrong mood, the comment section turns hostile, and by the time the team notices, it is already a screenshot spreading somewhere else. The people responsible always find out last. So I looked at the tools that were supposed to catch this. They all had the same shape. They watch mentions across dozens of platforms, they cost a lot, and they still miss the one place where a TikTok crisis actually starts: the comments under your own posts. That felt wrong to me, so instead of building another broad listening suite, I built the narrow and sharp tool I wished existed. A bit from behind the scenes: the hardest part was not the scraping, it was teaching the AI to read like a person. Keyword tools mark sarcasm and slang as neutral, which is exactly how they miss the beginning of a pile-on. Most of my time went into risk categorization and into telling a real surge apart from normal noise, so that an alert actually means something when it arrives. I built the whole thing end to end as a solo founder, and it is now live. You can run a free scan on any public profile without a card and see the results in minutes. I would really value honest feedback, especially from people who manage brands on TikTok every day. What is missing for this to fit into your workflow?
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