NY AI Chatbot
Revenue-first RAG chatbot that converts visitors into booked strategy sessions
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The Challenge
Language schools treat chatbots as deflection tools — reduce ticket volume, speed up FAQ answers, dead-end the conversation. The result is a cost center that never generates revenue. Meanwhile, anonymous website visitors leave without converting because there's no sales-aware system guiding them toward high-value actions like booking a strategy session.
The Solution
An AI chatbot explicitly engineered as an automated sales agent. Every architectural layer — system prompts, RAG citations, error handling, rate limits — is designed to drive conversational conversion. The bot uses benefit-driven language with real client social proof, links RAG source citations to high-value service pages, and hard-codes CTAs for free strategy sessions directly into the system prompt.
Key Features
- Revenue-first RAG architecture merging website content and manual knowledge sources (top 5 by cosine similarity)
- System prompts hard-coded with sales CTAs — every conversation steers toward booking a strategy session
- Dual-source knowledge base: scraped website content (0.5 threshold) + curated documents (0.6 threshold)
- Source citations that drive traffic to high-value service pages, increasing time-on-site and eliminating hallucination
- Full EN/ES bilingual support with locale-aware personality and benefit-driven language
- Embeddable widget (iframe + script tag) deployable on any client domain with CORS configuration
- Admin dashboard with chat analytics, knowledge management, and bot settings
Results
- 5-layer revenue engine: System Prompts, Error CTAs, Localization, Rate Limits as Strategy, Source Citations
- 2 RAG knowledge sources merged by cosine similarity with configurable thresholds
- Sub-second streaming responses via Vercel AI SDK with OpenAI GPT-4o
- Zero-auth guest experience via sessionId cookies — no signup friction before conversion
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