Jargon

Jargon is an AI employee advocacy platform that helps marketing teams turn their employees into LinkedIn content creators. It has two AI agents: Research Agent — Give it your company's LinkedIn URL and it autonomously maps your entire competitive landscape. It scrapes your company, finds 5-6 competitors, identifies the most active employees at each competitor, fetches their LinkedIn posts, and analyzes what content formats and topics get the most engagement. Everything is saved as an interconnected knowledge graph that you can explore visually in real-time using a WebGL-powered graph (Reagraph). Content Agent — Uses the research data to create employee content plans grounded in competitor intelligence. It assigns topics to employees based on content gaps competitors aren't covering, sends recording request links so employees can submit voice memos, transcribes audio via Gemini's multimodal input, and writes LinkedIn posts that match each employee's natural voice using a comprehensive humanizer system (25 anti-AI-writing rules). It can also generate carousel images via Nano Banana 2 and assemble them into PDFs for LinkedIn upload. The platform solves the "what should our employees post?" problem by grounding every content decision in real competitor data — not guesswork.