Track brand mentions and sentiment
Build your own social listening tool that collects brand mentions from news, social, review sites, and forums, applies AI sentiment analysis to each one, and sends the brand team a prioritized summary for online reputation monitoring.
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On a schedule (every [schedule frequency, e.g. daily/hourly]), the automation searches specified sources, including news sites, social media platforms, review sites, and industry forums, for brand mentions using [media monitoring/social listening tool covering news, social media, forums, and review sites], matching on company name, product names, and relevant keywords. It collects all matching content with metadata like source, author, and timestamp, then uses [AI model provider] to classify the sentiment of each mention as positive, negative, or neutral, identify themes and topics being discussed, and flag urgent issues requiring immediate attention such as PR crises or viral negative sentiment. It then generates a summary report categorizing mentions by sentiment and topic with recommendations for response priority, and delivers it to the brand team via [team communication channel, e.g. Slack, email].
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Problem
Brand and communications teams need to track how their company is mentioned across news sites, social media, forums, and review platforms to identify reputation risks and opportunities, but manually searching multiple sources daily takes constant effort and often results in delayed responses to critical mentions or sentiment shifts.
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Solution
On a scheduled interval, the automation searches news sites, social media platforms, review sites, and industry forums for brand mentions using company name, product names, and relevant keywords, and collects all matching content. It uses AI to classify each mention as positive, negative, or neutral, identify themes, and flag urgent issues. It then generates a summary report categorizing mentions by sentiment and topic with recommendations for response priority and delivers it to the brand team.
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Impact
Reputation risks and negative sentiment shifts are caught while they are still small, so brand teams respond before issues escalate instead of after the damage spreads.
Benefits
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Earlier crisis detection
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Reduced reputation damage
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Faster response prioritization
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Lower monitoring effort
Who is this for?
Success stories
Adapt at speed with visual-first automation and AI
Make drives efficiencies, solves problems, and speeds innovation by breaking down silos across your business.
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