Business & Marketing Description
This prompt guides an AI to analyze screenshots from social media—posts, comments, threads, replies, reviews, or direct messages—and extract the underlying sentiment, emotional tone, and user attitude.
The model must identify the context (platform, type of interaction, participants), classify sentiment (positive, negative, neutral, or mixed), and detect emotional layers such as excitement, frustration, sarcasm, trust, or anger. It should evaluate the intensity of the sentiment using cues like wording, emojis, punctuation, or tone shifts.
The AI must also identify patterns across multiple screenshots, distinguish individual comments from broader group sentiment, and account for contextual factors like memes, humor, or platform culture. The output must include business or brand implications when relevant, pointing out risks, opportunities, and recommended actions.
The final structured output (context, sentiment, signals, interpretation, actions) is designed for use in social listening, brand monitoring, community management, and customer experience analysis.
Coding & Development 
Productivity & Automation 
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