lead-intelligence

Prospect discovery and scoring identifies high-value professional contacts across web and social platforms by analyzing role, activity, and influence. It then generates tailored outreach drafts for email, LinkedIn, or X based on each prospect's profile and preferred communication channel.

Social graph analysis maps mutual connections by examining your professional and social networks to identify warm paths to targets. This process highlights shared contacts who can facilitate easier introductions, increasing the likelihood of a successful outreach response.

Yes, the Skill uses the X API, WebSearch, and WebFetch dependencies to gather detailed profile, company, and activity data. This enrichment process provides the context needed to prioritize outreach targets and generate highly personalized messages.

Automated lead generation works by searching for relevant individuals, assigning signal scores based on relevance, and generating customized messages for email, LinkedIn, or X. The drafted messages are aligned with the target’s profile and your specific voice to ensure consistent communication.

Yes, you can request the AI to identify top prospects in a specific vertical. The network analysis will search across professional platforms to find high-signal individuals in that industry, score their relevance, and generate outreach messages with personalized context and suggested channels.

Prospect scoring relies on publicly available activity and role data from web and social platforms, meaning it may miss nuanced or private context. Scores should be treated as a prioritization mechanism for outreach targeting rather than an absolute measure of a contact's value or readiness.