Automates discovery, enrichment, and export of high-potential website visitors to Google Sheets.
The AI agent pulls Leadfeeder leads on a daily cycle. It enriches those leads with Clearbit to add firmographic details and validates engagement and company size. It saves the qualifying leads to a Google Sheet for easy outreach and collaboration.
End-to-end actions the agent performs to identify, enrich, and organize leads.
Pull daily Leadfeeder leads
Filter by engagement criteria (e.g., 3 site visits)
Enrich matching leads with Clearbit data
Filter by company criteria (e.g., minimum employee count)
Save qualifying leads to Google Sheets
Log results and notify relevant teams
Connecting Leadfeeder to Clearbit enriches visitor data without manual lookup. It applies concrete engagement and company size criteria, then exports qualified leads to Google Sheets for consistent outreach.
A simple 3-step flow that non-technical users can follow.
The AI agent fetches all leads from Leadfeeder on a daily schedule.
The agent enriches leads with Clearbit data and filters by engagement (e.g., 3 visits) and by company size.
Qualified leads are written to the Google Sheet and the activity is logged for audit.
One realistic scenario.
Scenario: At 02:00 UTC, the AI agent processes 120 new Leadfeeder leads. After enrichment, 12 meet engagement criteria, and 6 pass the company size filter; these 6 are saved to Google Sheets with enriched data. The sheet lists company name, domain, employee count, and key firmographic details for outreach, ready for the sales team.
Roles that gain value from automated enrichment and centralized data.
Need ready-to-action lead lists with enriched data for faster outreach.
Can align campaigns with validated account lists and firmographics.
Maintains data quality and a single source of truth for outreach lists.
Prioritizes outreach based on engagement signals and company size.
Receives verified accounts with richer context for early conversations.
Expands target lists with automated enrichment and tracking.
The AI agent works across three core tools to automate data flow.
Fetches daily website visitor leads for enrichment and export.
Provides firmographic data to enrich Leadfeeder leads.
Stores qualified leads in a centralized sheet for outreach.
Concrete scenarios where this AI agent adds value.
Common questions and practical answers.
The agent relies on Leadfeeder for visitor data and Clearbit for firmographic enrichment. It stores results in Google Sheets and tracks the workflow history for auditing. Tokens and credentials are used only to fetch data, and access is limited to configured users. If an enrichment source is unavailable, the agent logs the incident and retries on the next run.
Yes. You can configure the engagement criteria (for example, number of site visits) and the minimum company size. Changes apply to subsequent runs without interrupting existing data. You can also add or remove filters to fit different campaigns. Any changes are reflected in the next daily execution cycle.
If enrichment fails for a lead, the agent logs the error and moves the lead to a retry queue or skips it based on the configured retry policy. Re-tries occur on subsequent runs to avoid blocking the entire workflow. Failed records are highlighted in the Google Sheet for manual review. The system preserves the original Leadfeeder data for traceability.
The agent runs on a daily schedule, processing new Leadfeeder leads and updating the Google Sheet with fresh enrichment data. You can adjust the cadence to higher or lower frequencies as needed. Run times are logged for performance monitoring. If the run overlaps with another, the system queues or throttles to avoid conflicts.
Security is ensured through token-based access to Leadfeeder and Clearbit, and restricted Google Sheet sharing settings. Data is stored in your Sheets with controlled permissions. Audit logs capture who accessed or modified data. You can rotate tokens and adjust access as part of standard security practices.
Yes. The sheet can be customized to include the fields you need (company name, domain, employee count, etc.). Layout changes apply to new rows and can be rolled out without breaking existing data. You should maintain a consistent schema to ensure downstream processes remain compatible. Documentation is provided for mapping enrichment fields to sheet columns.
Yes, Google Sheets sharing settings control who can view or edit. The agent writes to a single sheet or a configured template, enabling team collaboration. You can set read-only access for stakeholders and edit permissions for the outreach team. Activity logs help track changes and accountability.
Automates discovery, enrichment, and export of high-potential website visitors to Google Sheets.
