Getting Started With LeadScore AI
Everything in LeadScore AI hangs off one principle: get every lead into one place, score it against your ideal customer profile, and spend human time only on the leads that earn it. This guide walks the whole loop once, end to end.
5 MIN READ · UPDATED SEPTEMBER 2026Step 1 — Get Your Leads In
There are three doors into the system. Use whichever matches where your leads live today:
- Upload a spreadsheet — drag in a CSV or Excel file; guided column mapping takes care of the rest
- Bring a CRM export — begin with CSV or Excel; confirm connector support and sync direction before planning live integration
- Paste a link — drop in a LinkedIn profile, company page, or website and let research build the record
Step 2 — Initial Scoring Runs Automatically
Imported leads enter background processing. Review mapping, duplicates, available contact checks, and scoring explanations. Missing data or provider failures can leave results unresolved; wait for the job result before using the list.
Step 3 — Work From the Top
Your pipeline, call queue, and mobile app all rank leads by score. Start each day at the top of the list: the hottest, highest-fit leads with research already attached. That is the entire discipline — the system decides who, you decide what to say.
Step 4 — Review the Outcomes
Record outcomes as you go: booked, wrong fit, and closed-won. Review those results against the scores and adjust your policy deliberately. Outcomes support evaluation; they do not silently retrain the model.
Start with a small authorized sample, an ICP owner, and one outreach use case. Confirm field mapping, contact permissions, channel setup, and trial limits before importing the full list.
Try It on Your Own Leads.
Every guide is shorter in practice — import a list and see the workflow run.