Enrich new HubSpot contacts with company data using Gemini

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Most CRMs are full of half-empty contact records because nobody has time to look up every new lead by hand. This AI automation solves that for your clients by researching company details the moment a contact lands in HubSpot, before anyone has to touch it.

What This Automation Does

Runs on a daily schedule and pulls every HubSpot contact created in the last 24 hours, skipping personal email addresses so only real business leads get enriched
Uses the contact's email domain to research the company via live web search, returning structured fields including industry, headcount, headquarters, and LinkedIn profile
Writes all enriched data directly back to the contact record in HubSpot so the sales team sees clean, segmented data from day one
Requires zero manual lookup from the client's team once deployed, making it a true set-and-forget enrichment layer on top of their existing CRM

Tools Used

HubSpot
Google Gemini
SerpAPI
n8n

Where to Get Hired for This Skill

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Source: Contra freelancer search · refreshed 30 May 2026

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How To Build It

Connect HubSpot to pull fresh contacts

Authenticate HubSpot via OAuth2 so the workflow can read newly created contacts and later write enriched data back to those same records without any manual export or import.

Filter contacts to business domains only

Apply a filter that keeps only contacts created within the past 24 hours and whose email domain is not a free provider like Gmail, ensuring the AI agent only researches genuine company leads.

Wire up SerpAPI for live web research

Connect SerpAPI with your API key so the AI agent can run real-time web searches against the contact's company domain and retrieve current, accurate business information rather than relying on a static database.

Configure Gemini to return structured company data

Set up Google Gemini as the reasoning layer with a prompt that instructs it to extract and return a consistent JSON object containing company name, industry, headquarters city and country, employee count, website, LinkedIn URL, and a short description.

Map enriched fields back to HubSpot contact record

Configure the second HubSpot connection to write each field from the AI response into the correct contact property, so every record is fully populated and ready for segmentation or outreach the same day it was created.

Pitfalls

SerpAPI has monthly search quotas and will silently fail or return empty results once the limit is hit, so production deployments need quota monitoring or a paid plan sized to the client's daily contact volume.
HubSpot OAuth2 tokens expire and must be re-authorised periodically, meaning the workflow can stop enriching contacts without any obvious error unless the client has alerting in place for failed runs.
The AI agent prompt is fragile against unusual email domains, such as holding companies or domain aliases that do not match the trading name, which causes it to return inaccurate or generic company data that gets written directly into the CRM.

FAQ

Can I build this without coding?

Yes. The entire workflow is configured through visual connections and a written prompt for the AI agent. The only text you write is the instruction telling Gemini which fields to return, and that is plain English.

How long does it take?

Most freelancers can have a working version running in two to three hours, including connecting all three services and testing against real HubSpot contacts. Adding custom fields or adjusting the agent prompt for a specific client adds another hour at most.

What can I charge?

Positioning matters more than a fixed number. Packaging this as a named deliverable, such as a HubSpot Contact Enrichment Setup, with a clear outcome like every new lead gets eight company fields populated automatically, justifies a one-time project fee plus an optional monthly retainer for maintenance and quota management.

Which tool is required vs optional?

HubSpot, Google Gemini, and SerpAPI are all required for the workflow to function as built. SerpAPI is the component most clients ask to swap out, but removing live web search means the AI has no source data to work from, which breaks the enrichment entirely.

This is original DigiNo analysis. The underlying automation pattern is a community workflow template – view the original on n8n.