AgentHub

Score and nurture HubSpot leads with Clearbit and Gemini AI

Who is this for

Live
Open / InstallLast updated July 27, 2026

Description

Who is this for SMB sales teams and SaaS companies who want to automatically prioritize and nurture new leads without manual qualification. Perfect for businesses getting 50+ leads per month who need to identify high-value prospects quickly. How it works When a new contact is created in HubSpot, the workflow automatically enriches their data using Clearbit's company database. A scoring algorithm evaluates company size, industry fit, and job title relevance, then Gemini AI analyzes the enriched data to provide additional insights and generate personalized outreach content. Hot leads (score 80+) receive immediate personalized emails and trigger Slack notifications to the sales team. Warm leads (50-79) are added to nurturing sequences. Cold leads are simply scored for future reference. All scoring data and reasoning are logged to Google Sheets for analysis and optimization. How to set up Configure credentials for HubSpot, Clearbit API, Gemini AI, Gmail, Slack, and Google Sheets. Create a Google Sheet for scoring history with the column headers shown in the workflow. Update the Slack channel name in the notification node and customize the Gmail sender settings. Requirements HubSpot with contact creation access Clearbit Enrichment API account Google Gemini AI API key Gmail account for sending emails Slack workspace for notifications Google Sheets for tracking How to customize Adjust scoring criteria in the Set node including target industries, company size weights, and role priorities. Modify hot/warm score thresholds (default 80/50). Customize email templates and Slack message format within the Gemini AI prompt. Add additional scoring factors in the Code node calculation. An n8n automation workflow template by Oka Hironobu.

Author

Oka Hironobu

Platform

web

Pricing model

paid

Categories

Automation
AI

Tags

n8n
workflow
google-sheets
http-request
slack
hubspot
gmail
code
basic-llm-chain
google-gemini-chat-model

Capabilities

  • 8 nodes
  • 1 views