How AI lead qualification works
A workflow picks up each new lead, adds what your team would look up by hand, and lets AI score the fit against rules you set.
- New lead. It arrives from a form, an ad, a portal or an inbox.
- Enrich. The workflow finds the company's website and the public details that matter to you.
- AI qualify. AI scores the lead against your ideal customer and writes down why.
- Route. Above your threshold, for example 70 out of 100, it becomes a deal in your CRM. Below it, the lead joins a nurture list.
Automate lead research and scoring with AI
We automate lead research by having AI read what a person would read, like the lead's website and public profiles, and then score the fit against your rules. Each score is saved with the AI's reason, so your team can see why a lead was marked as a good fit or not.
Your team sets the rules and the threshold, and reviews anything the AI marks as uncertain.
Send new leads to HubSpot automatically
New leads can reach HubSpot automatically, scored and with their research attached, as soon as they come in. We connect your forms, ads and portals to HubSpot, or to the CRM you already use, so nobody copies leads by hand.
Where it fits
- Real estate. Leads from portals and ads routed to the right agent in seconds.
- SaaS. Signups scored and routed to sales, with product usage taken into account.
- Finance and insurance. Leads qualified before they reach an advisor.
- Agencies. Inbound requests sorted by fit before anyone books a call.
Most of what we build carries across industries. See how we build in n8n →
How much does it cost?
Projects start at $1,000, and most cost between $3,000 and $10,000. The price is fixed and agreed before any work starts, and everything runs in your own accounts.