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Brand Mention Sentiment Tracker

Example prompt: "Monitor Twitter and Reddit for mentions of our brand name. Classify each as positive, neutral, or negative. Alert #marketing on Slack immediately for any negative mentions."

How to automate brand mention tracking with GloriaMundo

The Problem

Your brand is being discussed on social media and forums right now, and most of the time you do not know about it until someone sends you a screenshot. Manually searching Twitter and Reddit several times a day is tedious and easy to forget. Even when you do catch a mention, deciding whether it is praise, a neutral reference, or a complaint requires reading context — and negative mentions that go unaddressed for hours can snowball into a reputational problem before your team has a chance to respond.

How GloriaMundo Solves It

We build a workflow that runs on a regular schedule — say, every hour. A Twitter search step and a web search step scan for recent mentions of your brand name, product name, or chosen keywords across Twitter and Reddit. An LLM step reads each mention in context and classifies it as positive, neutral, or negative, along with a short summary of what was said. A conditional step filters for negative mentions and sends an immediate alert to your #marketing Slack channel with the original post, the sentiment classification, and a direct link so someone can respond. All mentions — positive, neutral, and negative — are logged to a Google Sheet for trend analysis over time. Glass Box preview shows you the search results, classifications, and which alerts would fire before anything is posted.

Example Workflow Steps

  1. Trigger (scheduled): Runs every hour to check for new brand mentions.
  2. Step 1 (twitter_search): Search Twitter for mentions of your brand name and related keywords.
  3. Step 2 (web_search): Search Reddit and other forums for recent discussions mentioning your brand.
  4. Step 3 (LLM): Classify each mention as positive, neutral, or negative. Generate a short summary for each.
  5. Step 4 (conditional): If a mention is classified as negative, proceed to the Slack alert step.
  6. Step 5 (integration): Post an alert to #marketing on Slack with the negative mention, its source link, and the AI-generated summary.
  7. Step 6 (integration): Log all mentions — with sentiment, source, and timestamp — to a Google Sheet for tracking and reporting.

Integrations Used

  • Slack — receives immediate alerts when negative mentions are detected
  • Google Sheets — stores all mentions with sentiment classifications for trend analysis

Who This Is For

Marketing managers, brand strategists, and community managers who need to stay on top of public sentiment without manually trawling social platforms. Particularly valuable for brands that operate in competitive markets where negative sentiment can spread quickly.

Time & Cost Saved

Manual brand monitoring across Twitter and Reddit takes 30-60 minutes per day if done thoroughly, and most teams simply do not do it often enough. This workflow runs continuously and surfaces only what matters, with full context. Over a week, a marketing team saves 3-5 hours of manual searching and gains faster response times to negative mentions — often the difference between a resolved complaint and a viral thread. The workflow uses search, LLM, conditional, and integration steps, costing a few credits per hourly run.