AI lead scoring agent: rank prospects by ICP fit and buy signals
A lead scoring agent that tells you who to call first. It reads your CRM or an uploaded list and ranks each prospect against your ICP, your core offering, and their recent activity and buy signals — funding, hiring, tech changes, engagement — then assigns a 1–99 score with a one-line reason you can act on. It re-scores as new signals land, so your list stays sorted by who’s most likely to buy this week, not who was added first. No more guessing which of 500 leads deserves your next hour.
What you get
- Scores every lead 1–99 by ICP fit, offer match, and live buy signals
- Attaches a one-line reason to each score so the ranking is explainable
- Re-scores automatically as new signals (funding, hiring, intent) appear
- Sorts your CRM or CSV so the highest-intent prospects rise to the top
Plays nicely with
How it works on Open Hive
- 01
Define fit and signals
Tell the agent your ICP, your offer, and the buy signals that matter. It maps them to fields in your CRM or sheet.
- 02
Point it at your leads
Connect your CRM or upload a CSV. The agent enriches what’s missing and scores every record.
- 03
Work the top of the list
You get a ranked list with reasons. As signals change, scores update — so the order always reflects who’s ready now.
Frequently asked questions
How does the AI decide a lead’s score?
It weighs three things: how well the prospect matches your ICP, how relevant your core offering is to them, and live buy signals like funding, hiring, or recent engagement. Each 1–99 score comes with a one-line reason so the ranking is never a black box.
Does it work with my CRM?
Yes — connect HubSpot, Salesforce, or upload a CSV. It can enrich missing firmographics before scoring so even a thin list gets ranked.
Will scores stay current?
They re-compute as new signals land, so a lead that just raised a round or started hiring rises in the list without you re-running anything.