I built my first n8n + AI workflow template for local lead research

Built with n8n
1

Hey everyone,

I recently built my first public n8n + AI workflow template and wanted to share it with the community for feedback.

It’s called Local Lead Finder AI for n8n – v1.0.

The workflow helps with local lead research and outreach preparation:

:white_check_mark: Finds local businesses using SerpAPI
:white_check_mark: Extracts company name, phone, website, rating, reviews and business type
:white_check_mark: Uses OpenAI to qualify each lead
:white_check_mark: Scores leads from 0–10
:white_check_mark: Filters high-quality leads
:white_check_mark: Generates personalized outreach email drafts
:white_check_mark: Saves everything into Google Sheets

It does not automatically send emails. It only creates outreach drafts, so everything can be reviewed manually.

I built this as a real-world practice project while learning n8n and AI automation.

The template is free / pay what you want on Gumroad:
https://buildautomate.gumroad.com/l/local-lead-finder-ai-n8n

I’d really appreciate feedback on:

  • workflow structure

  • lead scoring logic

  • setup instructions

  • what I should improve in v1.1

Thanks!

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It’s an interesting idea. I had a look at it, starting with scrawling myself.

Maybe it’s possible to adjust the prompt more dynamically, a form in the beginning, getting more precise about some softer factors like, which niche is the lead in.

Some notes would be helpful to understand the nodes right away.

Thanks for sharing.

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Hi @build2flow

Congrats on your first n8n AI workflow template; this is a very nice start.

I like the idea of keeping human review in the loop before sending anything automatically. That is a solid safety default, especially for lead research and outreach workflows.

One thing you might consider later is using fuzzy logic for lead scoring if you want a richer scoring model with more signals than simple thresholds. I wrote a related topic on that here: https://community.n8n.io/t/implementing-a-fuzzy-logic-decision-engine-in-n8n/293007/1

Nice work overall; this is a practical template and a good direction for the community.

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