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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.

Best forB2BB2b2cB2C
Agents4 required
Duration3-5 minutes

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.

01

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 researcher
02

Score 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 analyst
03

Surface 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 analyst
04

Write 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 writer

Required Agents

4
  • web-researcher
  • sentiment-analyst
  • market-analyst
  • executive-briefing-writer

Connections

Required

metaverslay

Optional

metalinkedintwitter

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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