Enverif
All AI employees
Lead Generation

Lead Generation Agent

Build repeatable prospect-research runs that find, enrich, qualify and structure leads before a salesperson spends time on them.

Lead Generation run

Lead Generation Agent: inspectable by design

Inspectable
  1. 1

    Encode qualification rules

    The next step runs only with the tools and permissions assigned to this agent.

  2. 2

    Source candidates

    The next step runs only with the tools and permissions assigned to this agent.

  3. 3

    Verify the evidence

    The next step runs only with the tools and permissions assigned to this agent.

  4. 4

    Structure the records

    The result and tool activity remain available in the run history.

Tools are scoped
Writes can require approval
Run history retained

Best fit

Who this role is built for

  • Outbound teams
  • Local lead-generation campaigns
  • Agencies building prospect lists

Jobs to be done

What the Lead Generation Agent actually handles

Specific operational work, tied to the tools and controls available in Enverif — not a generic chatbot job description.

Discover companies

Use the research sources assigned to the run to identify businesses matching your ICP criteria.

Enrich people and firms

Use Apollo for available company and people data when the connector is configured.

Research local markets

Use Google Maps Platform for place discovery and geographic business research.

Structure the handoff

Write verified records to Google Sheets or pass them into the next Enverif workflow.

Workflow

A run you can follow from goal to outcome

Each stage stays inspectable, and external writes can stop at an approval gate before anything changes outside Enverif.

  1. Step 1

    Encode qualification rules

    Start with explicit must-have, exclusion and geography criteria.

  2. Step 2

    Source candidates

    Use Apollo, Apify or Google Maps according to the market and data required.

  3. Step 3

    Verify the evidence

    Keep source context with the run and exclude records that do not meet the criteria.

  4. Step 4

    Structure the records

    Normalize the qualified fields before appending them to a connected sheet or downstream process.

  5. Step 5

    Hand off only qualified leads

    Send the approved list into the sales workflow instead of mixing raw prospects with qualified records.

Example tasks

Give it a real objective

  • Find businesses in this territory matching these criteria, explain the qualification evidence, and export only qualified records.
  • Enrich this company list with the available decision-maker and firmographic data, leaving unknown fields blank rather than guessing.
  • Research local service businesses from Google Maps and rank them against this ICP without drafting outreach yet.

Extensions

Use the tools this role actually needs

Built-in integrations used by this role

MCP when the built-in catalog stops

Additional data systems can be attached through a compatible MCP server or webhook when you need a source outside Enverif's built-in discovery connectors.

How Enverif uses MCP

Control

Autonomy is a policy, not an assumption

Enverif records the run and lets you govern external writes through per-agent approval policy. Start with review required, inspect the history, then deliberately grant more autonomy only where it makes sense.

Platform

The building blocks behind the role

Handoff to the next employee

  • Send qualified records to the AI Sales Employee for research-backed outreach preparation.

FAQ

Lead Generation Agent questions

Does the Lead Generation Agent invent missing contact details?

It should not. Unknown fields should remain unknown unless a connected source returns the data.

Can it research local businesses?

Yes. Google Maps Platform is part of the current built-in connector catalog for place and local-business research.

Where can the results go?

Google Sheets is a built-in structured-output option, and other destinations can be added through supported connectors, webhooks or configured MCP tools.

Put your first AI employee to work this week.

Start on Enverif Cloud, or clone the repository and self-host. Approvals are on by default either way.