omar jabra@omarj

IntelScout AI solves a critical problem for enterprise go-to-market teams: competitive intelligence that is fast, live, and immediately actionable.Traditional tools rely on static databases that are outdated the moment they are published. IntelScout AI takes a fundamentally different approach. When a user submits a research request, the platform triggers a live Bright Data SERP API crawl bypassing georestrictions, CAPTCHAs, and IP blocks that defeat ordinary scrapers. Depending on the selected depth, the system pulls 2, 10, or 30 pages of real-time web results scoped to the exact company, market, and focus areas the user specified.This raw data flows into an n8n workflow where it is passed to a Gemini AI agent with a structured prompt. The AI analyzes pricing signals, product launches, partnershipannouncements, hiring patterns, funding activity, and regional expansion moves then returns a fully structured JSON containing a sentiment score, categorized opportunities, risk signals, and a complete narrative report.A JavaScript processing node normalizes and validates this output before it is delivered back to the frontend via webhook response. The result renders as a visual dashboard: a Chart.js sentiment graph, color-coded metric cards, opportunity and risk insight panels, and a full intelligence report with section headers and sourced bullet points.The platform includes persistent user profiles, full research history stored locally, and a clean multi-page interface covering research, history, about, and contact all served from a single HTML file with no backend dependency beyond the n8n workflow.IntelScout AI was built as a working SaaS prototype demonstrating that Bright Data's live data infrastructure, combined with AI reasoning and n8n's workflow automation, can replace expensive static intelligence subscriptions with a system that is faster, more accurate, and fully auditable.

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