How Clients.ai qualifies leads
Most leads aren't clients. The work is knowing which ones are. Clients.ai qualifies before the conversation — scoring every discovered prospect for fit against your offer — and during it, reading engagement and readiness so your offer lands when the conversation has earned it. Your agent spends its effort on the people who can actually buy. No more pitching everyone and hoping.
Scoring discovered prospects
For prospects the LinkedIn agent discovers, qualification combines two layers: a set of deterministic signals from the person’s profile and activity, and an AI assessment of fit against your specific offer. The combined score routes each person into a tier — from “engage now” (invite, comment) down to “watch” — so effort is consistent and grounded in your offer, not a vibe. Profiles that are too sparse to judge are held back rather than guessed at.
Leads you bring
For leads you submit yourself, Clients.ai studies the lead’s actual website and public presence — company, industry, goals, pain points — so the agent enters the conversation knowing who it’s talking to rather than opening with a generic pitch.
Qualification inside the conversation
In the DMs, readiness is judged from the conversation itself: engagement, questions, buying signals. The agent presents the offer off a genuine opening — interest, fit, an explicit “what’s this about?” — and when a lead is ready, the next step is your booking page.
Your controls
You define the offer and instructions the scoring assesses against, the geography and audience scope, activity limits, and whether the agent may initiate at all. What we don’t publish here: the exact scoring formula and thresholds — that level of detail is internal, and keeping it private also keeps it hard to game.