Imagine AI

High-growth B2B companies need consistent, coordinated LinkedIn content across their team to reach their ideal customers, but producing it takes time and it is hard to know which posts actually influence pipeline and revenue. Teams often post sporadically, lack a shared calendar, and cannot connect engagement on content back to CRM records or closed deals. The page describes clients who previously had sporadic posting, spent days manually building recap content, or had no way to track engager ROI. This leaves content efforts disconnected from measurable business outcomes like MQLs, pipeline, and closed-won revenue.

Imagine AI is a content agent that drafts and schedules LinkedIn posts for an entire team, with users only reviewing, approving, or editing, reportedly taking clients just a few hours a month. It uses a research graph of over one million cataloged people, tracking what they post, who engages, where they work, and how they are connected, to target content at a company's ICP. A closed-loop attribution system matches audience engagement against a client's CRM to trace closed deals back to the first content touch (post, person, deal stage), with data available via API. Additional features include a team calendar for coordinating posts and comments across accounts, and a 'Content Filesystem' that stores strategy, positioning, brand assets, and campaigns for the agent to reference before drafting.