Full-cycle lead generation pipeline. Google Maps search, Firecrawl + Apollo enrichment, Claude AI scoring, personalised email drafting, and LinkedIn outreach. All from one dashboard.
OutreachIQ is a web-based lead generation and outreach system that combines Google Maps prospecting, Firecrawl and Apollo enrichment, Claude AI scoring (0 to 100), personalised cold email writing, and LinkedIn connection outreach into a single Flask dashboard. It compresses what used to be days of manual research, scoring, and copywriting into a streamlined pipeline where the human only reviews and sends.
The original AI Client Acquisition System solved the search-and-score problem: find businesses on Google Maps, let Claude rate them, export a CSV. The browser interface added on-demand prospecting and email drafting. But after scoring and drafting, every next step was still manual: visit each website to evaluate their brand, hunt for contact emails, find the right person on LinkedIn, track who was sent what, and follow up on replies.
The real bottleneck was never finding leads. It was everything that came after finding them. Writing one good personalised email takes 15 to 20 minutes when you factor in research, tone-matching, and copywriting. Multiply that by 30 hot leads and you have lost an entire week to outreach before a single email lands in an inbox.
OutreachIQ wraps the entire outreach lifecycle into one web dashboard. Search happens through Google Maps. The moment leads land, Firecrawl scrapes their website for brand signals, contact emails, and content quality. Apollo adds company size, founding year, revenue estimates, and LinkedIn URLs. All of this enrichment runs automatically at search time.
Claude AI then scores every lead against a rubric calibrated to branding opportunities: no website is a strong signal, a generic Wix template with stock photography is warm, and an established firm with professional branding is cold. For every scored lead, Claude drafts a personalised cold email following a tested structure (specific opening, bridge, value, three-part CTA) and generates LinkedIn connection notes for each decision-maker found.
The dashboard manages the full lifecycle: unscored, hot, warm, cold, drafted, sent, replied, meeting, converted. Every status change is tracked. CSV exports, email-by-email logging, and pipeline analytics are built in.
Walk through the full OutreachIQ pipeline: searching Google Maps, reviewing AI-scored leads, reading a personalised email draft, LinkedIn connection notes, and pipeline analytics.
Guided walkthrough with sample data. The live system connects to real APIs.
The real value is not speed. It is consistency. Before OutreachIQ, outreach happened in bursts: a motivated Monday produced 10 emails, then nothing for two weeks. Now the pipeline runs continuously. Search on Monday, score on Tuesday, send on Wednesday. Every lead is enriched, scored, and drafted to the same standard regardless of energy levels. The system does the work that humans skip when they are tired.
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