Business guides
A practical guide to AI-assisted lead generation
AI can help organize research and draft follow-ups, but useful lead generation begins with a clear description of the customers you serve. A small, accurate list is easier to evaluate than a large collection of poorly matched contacts.
By Agentic Workers · Updated
Define a qualified lead
Write down the business characteristics that make someone a plausible customer: the service they need, the problem you solve, and the evidence that supports the match. Distinguish known facts from assumptions. Use sources you are permitted to use and retain source links so a reviewer can check the research before taking action.
Keep research and outreach separate
First collect and deduplicate records. Then check the qualification criteria and draft a message for review. Do not treat a generated contact detail as verified. Ask a person to confirm the recipient and whether the proposed message is appropriate before sending. Keep a record of exclusions and contact preferences in the system that owns the workflow.
Evaluate the list and the follow-up
Measure how many records meet your criteria, how often research needs correction, and whether reviewed outreach leads to useful conversations. Compare the time spent gathering data with the time spent checking it. Improve the qualification rules when the list is consistently mismatched rather than increasing the volume of messages.
Before you start
- Define qualification criteria before collecting records.
- Retain sources and label unverified assumptions.
- Deduplicate and honor recorded contact preferences.
- Review recipients and drafts before sending.
- Measure useful conversations and correction effort.