An AI chat agent that handles inbound questions, maintains conversation context, and guides visitors toward a qualified lead outcome — all without a single line of custom backend code.
The Problem
Security company websites are static. Visitors land, skim a services page, and leave without ever engaging. There's no mechanism to qualify intent, answer technical questions in real time, or capture a warm lead before the prospect bounces. Sales teams follow up cold days later — if at all.
The Solution
A hosted n8n chat workflow triggered by the Chat Trigger node. The agent receives messages via a public webhook URL, routes them through an OpenAI model, maintains session memory, and responds with context-aware answers. The initial message and system prompt are tuned to guide the visitor toward booking a discovery call.
Key capabilities:
- Conversational memory across the session
- Custom initial greeting for cybersecurity positioning
- OpenAI as the model backend (swappable)
- Publicly hosted — no auth required, embed anywhere via the chat URL
Use Cases
- MDR/SOC firms qualifying inbound prospects before a sales call
- GRC consultancies answering compliance questions 24/7
- Security founders embedding an AI rep on their landing page
- Any cybersecurity company that wants a lead capture layer without building a full chatbot platform
Target Audience
Security founders, CTOs, and ops managers at mid-market cybersecurity firms ($1M–$50M revenue) who need a fast, low-overhead way to engage website visitors and capture qualified leads.
Impact
Manual lead qualification from inbound website traffic is either slow (sales follows up in 48h) or nonexistent. An always-on AI agent closes that gap — answering technical questions, filtering intent, and pushing warm prospects toward a calendar link. Setup time: under 2 hours. Maintenance: near zero.
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Built by Kunsh Tanwar | Founder of ETXcyberops | [email protected]
