Runs full end-to-end profile research, normalizes activity, extracts topics, detects signals, evaluates ICP match, and returns actionable outreach angles.

Analyzes static profile headline, about section, experience, skills, and business positioning.

Performs a deep 15-dimension analysis on a single LinkedIn post (hook, topic, post type, pain points, tools, sentiment, commercial intent).

Scans profile activity to discover growth, marketing, operational, and technical tracking signals (GA4, GTM, CAPI, Attribution).

Identifies specific technical tracking or marketing service opportunities based on observed activity.

Extracts top professional topics and mention frequencies from retrieved activity.

Translates business objectives into a structured LinkedIn lead search plan and Boolean queries.

Generates optimized Boolean search strings for LinkedIn People Search, Company Search, and Google X-ray.

Ingests JSON/CSV search result objects or profile URL lists into normalized Lead entities.

Categorizes, filters, and performs preliminary ICP scoring on an imported search result batch.

Filters lead batches by minimum score, job title, location, business type, or active tracking opportunities.

Evaluates lead fit against custom Ideal Customer Profile rules with confidence scoring.

Scores a lead using the 100-point Lead Scoring Engine (ICP Fit, Service Relevance, Authority, Signals).

Ranks and sorts imported lead batches by overall lead score, tracking opportunities, or intent.

High-level prospect analyzer orchestrating profile, company, signals, ICP matching, and lead scoring.

Generates a curated shortlist of top prospects (e.g. Top 20 PPC agency founders).

Retrieves normalized activity items over a specified date range.

Analyzes date-range activity, identifies recurring topics, priority shifts, and business signals.

Constructs a chronological activity timeline summary.

Compares activity across two date periods (e.g. July vs. August) to identify strategy shifts, new topics, or disappearing themes.