Brand Reputation Monitor
Tracks brand mentions across the web, scores the sentiment trend, and surfaces emerging risks with response recommendations.
Reputation problems compound quietly. A weekly sourced scan catches the negative theme while it's still a thread, not a headline — and hands you the response posture.
Tracks brand mentions across the web, scores the sentiment trend, and surfaces emerging risks with response recommendations. Reputation problems compound quietly. A weekly sourced scan catches the negative theme while it's still a thread, not a headline — and hands you the response posture.
How it runs
Multi-agent orchestration — here's the flow, step by step.
Scan the web for brand mentions over the window: news, blogs, review platforms, forums, and Reddit via verslay_reddit_search and verslay_web_search. Where a social connection exists, include platform signals. Every mention sourced and dated.
web researcherScore sentiment per mention and trend it against the stored baseline: overall tone direction, emerging negative themes before they compound, and positive threads worth amplifying. Separate brand-specific signal from category noise.
sentiment analystSurface the risks and openings: negative themes ranked by velocity and credibility, false claims worth correcting, and genuine praise worth resharing. Draft the recommended response posture per risk — none of it executes anything.
market analystWrite the reputation brief: sentiment trend with the delta, risk list with response recommendations, amplification candidates, and the quiet-week honest two-liner. Store the new sentiment baseline.
executive briefing writerRequired Agents
4- web-researcher
- sentiment-analyst
- market-analyst
- executive-briefing-writer
Connections
Required
Optional
What it does
- Mention scan across news, reviews, forums, and social signals — all sourced
- Sentiment trended against your stored baseline, not reset every run
- Negative themes ranked by velocity and credibility
- Response recommendations drafted — never posted automatically
- Brand-signal vs category-noise separation
Example prompt
Scan for brand mentions this week — how's sentiment trending and is anything risky brewing?
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