Linnia lets an AI assistant such as Claude or ChatGPT work on a rep’s LinkedIn: research people and companies, send connection requests, reply to messages and follow up. You ask in plain words; Linnia does the sending.
What makes it safe is that the assistant never touches LinkedIn directly. Every action goes through Linnia, which paces it like a person would, inside the rep’s working hours and well below LinkedIn’s limits, and, if you want, waits for a person to approve it first.
Research: search people and companies (with Sales Navigator filters when the account has it), read profiles, company pages, posts and the inbox.
Outreach: connection requests with a personal note, messages and InMail, reactions, comments, posts, endorsements, Sales Navigator leads, accepting and withdrawing invitations.
Follow-up: automations such as “when they accept, wait two working days, then send a message”, which stop the moment the person replies.
Team memory: a shared timeline per person across every rep’s account, plus notes, so two colleagues don’t contact the same person.
Morning brief: replies that need attention in priority order (each reply is triaged as interested, meeting, referral, not now, not interested, objection or out of office), new connections ready for a first message, and what is waiting for approval.
One action at a time per account, with random human-like gaps, only inside working hours.
Daily and weekly budgets below LinkedIn’s thresholds, and a 15-day warm-up for new accounts.
An early-warning health ladder that slows or pauses an account when LinkedIn pushes back, before it turns into a restriction.
Guardrails that block the things that get accounts flagged: links in connection notes, the same text sent to many people, low-quality cold invitations, people on the do-not-contact list, and people a colleague contacted in the last 30 days.
Approvals: new accounts start in approve mode, so nothing is sent until a person says yes.