Monitor targeted Google searches, check each lead's site for Contact and About pages, create enriched lead profiles with LinkedIn data, log results to Google Sheets, and notify stakeholders when new leads are saved.
The AI agent automates B2B lead enrichment by executing targeted Google searches and filtering out directories. It analyzes each lead's homepage to identify Contact, About, Careers pages and social profiles, then enriches data with LinkedIn details. It merges all sources into a clean profile and saves the complete record to Google Sheets for outreach teams.
Automates discovery, enrichment, and logging of high-value leads across the web.
Search and filter Google results to exclude directories and junk links.
Visit each lead's homepage to locate Contact, About, and Careers pages.
Extract emails and phone numbers from Contact pages when available.
Scrape LinkedIn profiles to capture Company Size, Industry, and Headquarters location.
Merge data from sources into a unified lead profile.
Save the enriched profile to Google Sheets in a single row.
This AI agent tackles messy, manual lead gathering by automating search, extraction, and logging in a single, auditable workflow.
A simple 3-step process anyone can follow.
Monitors targeted Google queries and removes directory results to focus on relevant company sites.
Visits each lead's homepage to identify Contact, About, and Careers pages and enriches data with AI from LinkedIn.
Combines all sources into a single profile and writes the result to Google Sheets.
A realistic run showing task, time, and outcome.
Scenario: Build a list of 50 marketing agencies in Toronto. Time: 10–15 minutes. Outcome: A Google Sheet with 50 rows detailing Company Name, Emails, Phone, Website, Industry, Employee count, and LinkedIn data.
Roles that gain faster, richer lead data for outreach.
Need fresh, actionable prospects with verified contact details.
Build targeted prospect lists for campaigns and messaging.
Accelerate pipeline with reliable enrichment data.
Source consistent data for downstream enrichment and analytics.
Quickly identify target segments and potential clients.
Streamline lead intake and CRM population.
Tools that power the AI agent's data movement and analysis.
Performs targeted Google searches and returns results for evaluation.
Circumvents bot detection when visiting company websites and LinkedIn pages.
Provides AI analysis to extract contacts, company details, and notes from HTML.
Writes each enriched lead as a row and maintains headers for consistency.
Concrete scenarios where this AI agent shines.
Common questions and practical answers about using the AI agent.
The AI agent combines data from multiple sources and validates against reliable signals where available. It extracts emails, phones, and LinkedIn details and stores them with source attribution. If a data point is missing or ambiguous, the agent flags the record for manual review. You can review and correct any field within Google Sheets. Regular re-run cycles can refresh data as profiles evolve.
Yes. You configures the initial search query and target regions in the Edit Fields node. The AI agent uses those inputs to drive subsequent page visits and extractions. You can adjust queries to broaden or narrow the scope and adapt to different niches. Changes apply on the next run without modifying code.
The agent checks for duplicates by comparing company names and websites before adding records to Sheets. It preserves the most recent data points and timestamps each entry. If a duplicate is detected, the record is updated rather than duplicated. You can enable a review step to confirm changes before final write.
The AI agent operates on public-facing data sources and standard lead enrichment practices. It does not store sensitive information outside the configured Google Sheet and includes source attribution for traceability. It is designed for compliance within typical B2B outreach scenarios, but users should align usage with their regional privacy policies and laws.
Create a sheet with the headers required in Row 1 and connect the Google Sheets node to that file. The agent writes a row per lead with fields like Company Name, Linked Summary, employee count, industry, Emails, Phone, and Website. If needed, you can adjust header mappings to match your CRM schema. The setup steps in the workflow guide cover the exact steps and field mappings.
The agent supports branching enrichment: if a Contact page exists it performs deeper extraction; if a LinkedIn profile is found it augments with company size and HQ data. For complex sites, you can run a secondary pass or flag the lead for manual verification. The process remains auditable, and all steps are logged for review.
The current implementation writes to Google Sheets for simplicity and collaboration. The architecture supports extension to export to CSV, a CRM API, or a database with additional connectors. You would add or configure a sink node to route the enriched profiles to your chosen destination. If you need this, it can be planned as an enhancement.
Monitor targeted Google searches, check each lead's site for Contact and About pages, create enriched lead profiles with LinkedIn data, log results to Google Sheets, and notify stakeholders when new leads are saved.
