Imagine AI

High-growth B2B companies need founders, team members and the company page all posting consistently on LinkedIn, but creating on-brand content, tracking who engages, and following up takes significant team time. Fondo's CPO says turning a single event into a week of content used to take their team days. Companies running multiple accounts across an org struggle to coordinate content while keeping everyone's individual voice. Without a system, it is hard to know if engagers are a good fit (ICP) or where they sit in the sales pipeline, so content and CRM data stay disconnected.

Imagine AI gives an agent its own computer and browser to create posts, comments, messages and connection requests the way a person would. It stores company strategy, brand voice and team files in memory, and learns new skills (like event recaps or founder posts) that are shared across the organization. The agent pulls engagement data and cross-references it with CRM tools like HubSpot to show who engaged, whether they match the ideal customer profile, and what deal stage they are in. It also draws on a benchmark database of millions of LinkedIn people and companies to show how an account's posting frequency and content quality compare to others in its industry. Every output, posts, comments, connection requests, or messages, is drafted and held for human approval ("in review") before anything goes out, and users interact with the agent conversationally via Slack or the app.