Prototype: https://ai-website-cybersecurity-company.vercel.app/
The Problem
Keyword search fails security buyers. A CISO typing "cloud misconfiguration risk" gets zero results if your page says "CSPM posture drift." Same intent, different words.
The Solution
- Convert all site content into vector embeddings via OpenAI
- Store vectors in Supabase using pgvector extension
- On search: embed the query → find nearest vectors via cosine similarity
- Return results ranked by semantic relevance, not keyword match
Use Cases
- "Broken API" → surfaces webhook, integration, GraphQL docs
- "Compliance audit" → finds SOC 2, ISO 27001, HIPAA pages
- "Who monitors my cloud?" → returns CSPM and MDR service pages
Tech Stack
- OpenAI Embeddings API (
text-embedding-3-small) - Supabase + pgvector extension
- n8n (optional: automate re-indexing on content updates)
Target Audience
Security founders running content-heavy sites with 10+ service/blog pages
Impact
Prospects find the exact service they need in one query. Reduces bounce rate from navigation confusion - especially critical when pitching GRC or MDR services to time-poor CISOs.
Built by Kunsh Tanwar - ETXcyberops | [email protected]
