When to use this prompt
Preparing for discovery calls
Training new sales reps
Standardizing sales conversations
Enhancing consistency in messaging
The prompt
Generate a list of key talking points for a sales call with a prospective client in industrial networking. Include discovery questions about their needs and quick facts about our solution [SOLUTION_NAME] that a salesperson should mention. Maintain a professional tone.
Variables to replace:
Real-life example of how to use this prompt
To start, let's assume I’m a sales enablement manager at Cisco Industrial Automation. The prompt in the context of Cisco would look like:
As you can see, I introduced a named solution to structure the talking points around relevant product details.
Example output from ChatGPT for this prompt
And here's the output:
Below is a clean, professional set of talking points that a salesperson can use for a sales call with a prospective industrial networking client. It includes structured discovery questions and concise value messaging for EdgeNet Insight.
Sales Call Talking Points: Industrial Networking Prospect
1. Opening & Context Setting
Brief introduction and purpose of the call.
Quick credibility statement (industry experience, relevant customer examples).
Confirm time and agenda: “I’d like to understand your current networking environment and challenges, then share how EdgeNet Insight could support your operational goals.”
2. Discovery Questions: Understanding Their Environment
Current Infrastructure & Challenges
“Can you walk me through your current industrial/OT network architecture?”
“How do you monitor network performance across your sites or production lines today?”
“What are the biggest reliability or visibility challenges you face in your OT network?”
Operations & Uptime
“What impact do network outages or latency issues have on production or safety?”
“How quickly are you able to identify and diagnose network problems?”
“Do you have remote or hard-to-reach assets that complicate troubleshooting?”
Security & Compliance
“What tools or processes do you use to maintain cybersecurity visibility across your industrial assets?”
“Are you responsible for meeting any specific compliance or audit requirements?”
Scalability & Future Plans
“Do you expect to add new sensors, controllers, or sites in the next 12–24 months?”
“How important is centralized visibility as you scale?”
Decision Process
“Who is typically involved in decisions related to network monitoring and management?”
“Are there upcoming budget cycles or initiatives we should be aware of?”
3. Key Facts & Talking Points About EdgeNet Insight
Core Value Proposition
Unified visibility for OT & industrial networks – provides real-time monitoring across switches, PLCs, sensors, and other connected devices.
Predictive issue detection – uses anomaly detection and analytics to identify performance degradation before it affects production.
Rapid troubleshooting – reduces mean time to diagnose by providing clear root-cause insights and device-level health indicators.
Security & Compliance
Continuous device discovery to maintain an accurate inventory of OT assets.
Threat detection tailored for industrial protocols (Modbus, Profinet, EtherNet/IP, etc.).
Audit-ready reporting for compliance and internal reviews.
Ease of Deployment & Scalability
Lightweight, modular deployment that fits both brownfield and greenfield environments.
Scales from a single plant to global multi-site operations.
Integrates with existing network equipment — no forklift upgrade required.
User Experience & ROI
Intuitive dashboard for operators, network engineers, and plant managers.
Reduces downtime costs by speeding up root-cause analysis.
Helps teams do more with fewer resources through centralized monitoring.
4. Closing & Next Steps
Summarize pain points heard and map them to EdgeNet Insight value.
Suggest next step: product demo, deeper technical review, or pilot engagement.
Confirm timeline and decision criteria.
Or to be more specific:
Pro tips
Lead with open-ended questions
Keep facts short and customer-focused
Tailor points to industry pain points
Avoid overly technical language unless needed
