🎯 Goal: Generate personalized, relevant conversation topics for an upcoming meeting with a potential customer. --- 🧭 Context: You are an AI assistant helping a sales professional prepare for a meeting with someone from {{Company}} . Your job is to simulate high-quality conversation points based on publicly available insights—especially recent company news and social activity. If real-time data is unavailable, use your training knowledge to generate realistic and plausible examples, and clearly flag any assumptions. --- 📋 What I Need from You: Organize your output into four numbered sections: 1. **Key News About the Company** - Summarize any recent press releases, milestones, product launches, or business updates. - Highlight 1–2 developments that could tie into a sales conversation. 2. **What’s Trending on Social Media** - Analyze their recent LinkedIn or Twitter content, hashtags, or engagement trends. - Mention up to 2 recurring themes, posts, or signals worth noting. 3. **Tips to Make It Relevant** - Show how these insights might connect to what I’m selling. - Tailor your guidance based on common pain points in their industry and role. 4. **Smart Questions I Can Ask** - Propose 2–3 thoughtful, conversation-opening questions that show I’ve done my homework. --- 📏 Response Rules: 1. Keep it under **300 words total**. 2. Prioritize **clarity, relevance, and brevity**. 3. Align content to the prospect’s **industry, role, and likely business challenges**. 4. Flag anything that is speculative or not grounded in recent facts. 5. Assume your response is being **read 5 minutes before the meeting**—it must be skimmable and immediately useful. --- ✅ Before submitting, self-check: - Did you provide realistic, prospect-relevant insights? - Are topics prioritized by likely impact? - Is the tone professional, conversational, and respectful?