AI Lead Generation

AI lead generation uses language models to research prospects, qualify them against your criteria, and draft outreach for a person to review. Colture builds the workflow with Gemini, Claude, or ChatGPT and keeps the data sources, opt-out handling, and review step explicit.

What the Workflow Does

Research: Pulls public and approved data about a prospect into a single record.
Qualification: Scores a lead against criteria you wrote, and shows the reason in plain language.
Drafting: Writes a first draft of outreach in your voice, for a person to edit and send.
Routing: Writes the lead and the note to HubSpot, Salesforce, Monday.com, or the CRM you use.
Review: A person approves what is sent.

What We Will Not Promise

We do not promise lead volumes or reply rates. Results depend on your offer, your list, and your follow-up. We do build the workflow so that data sources are named, opt-out requests are honored, and every message has a person behind it. Rules about outreach differ by region, so we confirm the ones that apply with you.

FAQs

Which AI Models Does Colture Use for Lead Generation?

Gemini, Claude, and ChatGPT. We choose per task and build so the model can be swapped.

Where Do the Leads End Up?

In your CRM, such as HubSpot or Salesforce, or in Monday.com, with the research and the qualification note attached.

Does the AI Send the Outreach?

By default a person reviews and sends it. Fully automated sending is your decision, and rules about consent differ by region, so we cover that first.