# Website AI Chat Agent 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. --- Built by Kunsh Tanwar | Founder of ETXcyberops | kunsh@etxhuman.com brave_screenshot_id-preview--16816e52-f506-4289-96bd-1ace04a75c9b.lovable.app.png