What Is AI Social Listening? Monitoring, Sentiment, and Replies for Founders

AI social listening is automated monitoring of what people say about your brand, competitors, and category — on social platforms and in AI-generated answers — plus classification of that signal so you know what to respond to.

# Listening vs analytics

Post analytics tell you how your content performed. Social listening tells you how the market talks when you are not in the room: complaints, comparisons, buyer questions, and citation gaps in ChatGPT-style engines.

# What a founder-grade stack includes

• Capture: brand + competitor keywords across X, Reddit, LinkedIn, HN (per integrations)
• Classify: sentiment, intent, spam risk
• Prioritize: weekly brief, not infinite alerts
• Act: draft replies for approval — not auto-DMs

# Shravan → Mitra handoff in AICMOHQ

Shravan produces the listening digest: mentions, sentiment shifts, AI citation gaps. Threads worth answering route to Mitra, which drafts replies in your voice. You approve before anything sends — the listen→draft→approve chain, not listen→spam.

# Not a ChatGPT sidebar trick

One-shot prompts cannot monitor continuously, compare week-over-week, or enqueue approved replies. Listening needs scheduled runs, stored context, and downstream agents.

Agent deep dives: Shravan, Mitra · Research layer: Ved · Overview: AI marketing agents.

Join the beta for listening + engagement in one approval-first loop.