Outbound Lead Gen Agent

About AI workflows

An AI workflow chains several tools together so that the output of one becomes the input of the next. Instead of moving text by hand between a research tool, a writing tool and an image generator, the workflow runs the sequence for you and returns the finished result.

The workflows here are pre-built for jobs that genuinely take several steps: turning a topic into a researched article, converting a long video into a set of social posts, or taking a product description through copy, images and ad variants. Each one shows the steps it runs and which tools it uses before you start it.

How to use it

Pick a workflow

Browse the available workflows and open the one matching your task. Each shows its steps and expected output up front.

Provide the input

Give the workflow its starting material — a topic, a URL, a document or a brief.

Review each stage

The workflow surfaces intermediate output as well as the final result, so you can see where a run went wrong and re-run just that stage.

Frequently asked questions

How is a workflow different from a single prompt?

A prompt is one call to one model. A workflow is a sequence of calls where each step is specialised and receives the previous step's output, which produces better results on multi-stage tasks than asking one model to do everything at once.

Can I edit a workflow's steps?

The pre-built workflows run a fixed sequence. If you need a different chain, the n8n templates library is designed for building custom automations.

How long does a workflow take to run?

Most complete in under a minute. Workflows that involve image generation or long documents take longer, because each stage waits for the previous one to finish.

Do I need an account?

Browsing workflows is open to everyone. Running one requires an account so that usage can be attributed and rate-limited fairly.

Step-by-Step Implementation

Phase 1: Scheduled Lead Extraction

Step 1

Set up a recurring trigger that polls a B2B database for companies matching your Ideal Customer Profile.

Open Make.com

Instructions

1. In Make.com, add a **Timer** module set to run every Monday at 9 AM.
2. Connect it to an **Apollo.io** or **Clearbit** module to search for "VP of Engineering in SaaS".
3. Iterate through the results.

Phase 2: Contextual Research

Step 2

Use the target company's URL to scrape their recent news or homepage to find a personalization angle.

Open ScrapingBee

Code Snippet

// Node.js example for web scraping via API
const axios = require('axios');
const response = await axios.get('https://app.scrapingbee.com/api/v1/', {
    params: {
        'api_key': 'YOUR_API_KEY',
        'url': companyUrl,
        'extract_rules': '{"headline":"h1","latest_news":".news-item"}'
    }
});
const companyData = response.data;

Phase 3: Hyper-Personalized Copy

Step 3

Generate a unique, non-spammy cold email using the scraped data.

Open OpenAI

System Prompt

Write a cold email to {{ lead.first_name }}, the {{ lead.title }} at {{ company.name }}.

Company Context: {{ scraped_data.latest_news }}

Rules:
1. Max 100 words.
2. The opening sentence MUST reference their recent news or company mission.
3. Soft call to action (e.g., "Open to a quick chat?").
4. No buzzwords.

Step-by-Step Implementation

Phase 1: Scheduled Lead Extraction

Step 1

Set up a recurring trigger that polls a B2B database for companies matching your Ideal Customer Profile.

Open Make.com

Instructions

1. In Make.com, add a **Timer** module set to run every Monday at 9 AM.
2. Connect it to an **Apollo.io** or **Clearbit** module to search for "VP of Engineering in SaaS".
3. Iterate through the results.

Phase 2: Contextual Research

Step 2

Use the target company's URL to scrape their recent news or homepage to find a personalization angle.

Open ScrapingBee

Code Snippet

// Node.js example for web scraping via API
const axios = require('axios');
const response = await axios.get('https://app.scrapingbee.com/api/v1/', {
    params: {
        'api_key': 'YOUR_API_KEY',
        'url': companyUrl,
        'extract_rules': '{"headline":"h1","latest_news":".news-item"}'
    }
});
const companyData = response.data;

Phase 3: Hyper-Personalized Copy

Step 3

Generate a unique, non-spammy cold email using the scraped data.

Open OpenAI

System Prompt

Write a cold email to {{ lead.first_name }}, the {{ lead.title }} at {{ company.name }}.

Company Context: {{ scraped_data.latest_news }}

Rules:
1. Max 100 words.
2. The opening sentence MUST reference their recent news or company mission.
3. Soft call to action (e.g., "Open to a quick chat?").
4. No buzzwords.

About AI workflows

How to use it

Pick a workflow

Provide the input

Review each stage

Frequently asked questions

How is a workflow different from a single prompt?

Can I edit a workflow's steps?

How long does a workflow take to run?

Do I need an account?

Prerequisites

Agent Architecture

Step-by-Step Implementation

Phase 1: Scheduled Lead Extraction

Phase 2: Contextual Research

Phase 3: Hyper-Personalized Copy

Outbound Lead Gen Agent

Prerequisites

Agent Architecture

Step-by-Step Implementation

Phase 1: Scheduled Lead Extraction

Phase 2: Contextual Research

Phase 3: Hyper-Personalized Copy