Automates daily enrichment of new HubSpot contacts with company data, enabling faster segmentation and personalized outreach from day one.
Enriches HubSpot contacts with company data by researching the email domain. Runs daily to fetch new contacts created in the last 24 hours and updates structured fields. Updates the contact records automatically to support immediate segmentation and personalized outreach.
Performs targeted data enrichment to improve CRM records.
Fetches HubSpot contacts created in the last 24 hours.
Filters out domains from free email providers to reduce false positives.
Extracts the company domain from the contact's email.
Researches the company using web sources and returns structured data.
Writes back enriched fields to the HubSpot contact records.
Logs results and flags low-confidence records for review.
Automates the end-to-end enrichment of new HubSpot contacts with verified company data. It replaces manual lookups with a repeatable, auditable workflow that enriches records nightly.
A simple 3-step flow for non-technical users.
Schedules the enrichment run each day.
Retrieves contacts created in the last 24 hours and filters out free-domain emails.
AI agent extracts the domain, researches the company, and updates HubSpot with structured fields.
One realistic scenario that demonstrates practical use.
Scenario: A GTM team processes 40 new HubSpot contacts daily. Time to enrich: about 2–3 minutes. Outcome: 30–35 contacts receive high-confidence company data (name, industry, HQ location, website, LinkedIn, description) and are ready for segmentation; 5–10 require manual review.
Who benefits from automatic contact enrichment.
Receive enriched contact records with company context for targeted outreach.
Maintain consistent company attributes across new contacts.
Build ICP and segment by industry using standardized fields.
Reduce manual data-entry by centralizing enrichment in one workflow.
Attach account-level data to contacts for ABM campaigns.
Personalize onboarding with company context for better adoption.
Tools used to power the AI agent and data flow.
Read new contacts and write enriched fields.
Supply reliable web search results for company data.
Provide AI-based profiling and structured output.
Six practical scenarios where this AI agent shines.
Practical answers to common concerns.
The agent extracts the domain from the contact's email and uses web search results to populate company attributes such as name, industry, headquarters, employee count, and website. Results are returned in a structured JSON and written back to HubSpot. Confidence gates can be configured to require specific fields (like website or LinkedIn) before updates are performed.
Low-confidence results can be gated before writing to HubSpot or routed for manual review. You can set criteria (e.g., require website and LinkedIn) to push uncertain results into a review queue. This keeps CRM data clean while still enabling enrichment at scale.
Yes. You can edit the agent prompt and field mappings to add or remove properties such as industry tags, HQ timezone, or custom CRM fields. The enrichment flow supports extending the write-back step to match your CRM schema.
The agent uses publicly available information from web sources and coordinates data updates within your HubSpot. Ensure you comply with data-usage policies and your privacy guidelines, especially for contact-level information.
Yes. The trigger can be adjusted to hourly or another cadence to fit high-volume inbound flows. You can also enable batching or conditional scheduling based on your CRM activity.
If a domain changes, you can re-run the enrichment flow or set up a periodic refresh rule to revalidate and update the associated fields.
Errors are logged and surfaced in a review queue. The agent can automatically retry simple failures and alert a human operator for more complex issues, ensuring visibility and traceability of updates.
Automates daily enrichment of new HubSpot contacts with company data, enabling faster segmentation and personalized outreach from day one.
