Social conversations do not arrive in one place. A shipping question sits in an Instagram DM, a partnership pitch lands in a press mention, an unhappy customer comments on a post and a return request arrives by email. FanBase's premise is simple: pull all of it into a single feed, rank it, and let AI absorb the repetitive half.
The feed is prioritised rather than chronological. FanBase analyses incoming activity and lifts the conversations that carry buying intent, returning customers or time-sensitive problems to the top, while the low-value noise sinks. Each item arrives with a drafted reply written from your brand's memory — the tone rules you set, what you know about that customer, and facts like how long shipping takes. Agents can be assigned to categories (shipping questions, useful links, unhappy customers) so routine DMs get answered on autopilot, and the agent hands a conversation back the moment it needs human judgement.
The memory layer is what keeps automation from sounding generic, and it is deliberately editable: if a note about your policy or tone is wrong, you change it and future replies follow. FanBase also exposes an MCP interface, so teams that want to operate their social inbox through their own AI agent can do so rather than being locked into a single dashboard.
