Tell LeadVector what you want done.

Describe the contacts you want, the list to build, or the campaign to draft. LeadVector AI turns it into actions, shows you every step as it happens, and finishes the job with the credits on your account.

Ask AI

Manual

Northstar GTM

Find 300 Heads of Growth at US SaaS companies with 20 to 100 employees and add them to Founder Outreach.

Understood as a contact search

3 filters

Searching companies

1,240 matched

Finding contacts

312 found

Verifying emails

287 valid

Creating list

US SaaS Growth Leaders

Adding leads to Founder Outreach

287 leads

Done

287 verified leads added to Founder Outreach

312 found · 287 valid · credits used only for the valid results.

Open campaign

Open list

How it works

1

Describe the outcome

Natural language in, structured filters out. LeadVector shows the filters it inferred before it runs them.

2

Watch the work

Searching, finding, verifying, building the list. Each step is visible with its count.

3

Get the result

Lists filled, leads added, campaigns drafted. Credits are checked before a paid step and used only on valid results.

An action layer, not a chatbot.

LeadVector AI understands requests across contact search, list creation, campaign drafting, analytics, verification, imports, and product help, and routes each to the right action inside the product.

Natural-language filters applied to a live, multi-provider contact search

Creates lists and draft campaigns directly

Answers questions about campaign performance

Understood as

Intent

Contact search

Job title

Head of Growth

Location

United States

Company size

20 to 100

Next

Create list

Done

287 verified leads added to Founder Outreach

312 found · 287 valid · credits used only for the valid results.

Open campaign

Open list

Guardrails you can rely on.

Every action the AI runs is a real product action, shown as it happens. It checks your credits before a paid step, declines unsafe or out-of-scope requests, and asks a question instead of guessing when a request is ambiguous.

Only actions the product has, visible as they run

Credit check before any paid step, charged only for valid results

Out-of-scope and unsafe requests are declined

Questions

Common questions about LeadVector AI.

What can LeadVector AI do?

Search contacts with natural-language filters, verify them, create and fill lists, draft campaigns and add leads to them, and answer questions about campaign performance. Each one is the same action you would run in the app.

Does it spend credits?

Yes, the same way you would. It checks the credits on your account before a paid step and is charged only for valid results, so a request never stalls waiting for a click.

How does it stay accurate?

Responses follow a backend-controlled structure and are checked against product policy before any action runs, so the AI cannot invent an action the product does not have.

Start turning data into conversations.