Monitor LinkedIn for new connections and post engagements, enrich data with AI scoring, deduplicate, and sync qualified leads to Google Sheets and HubSpot or Salesforce, while instantly notifying the sales team.
The AI agent continuously monitors LinkedIn for new connections and engagements, extracting lead data from multiple sources. It scores each lead with AI-powered quality scoring and temperature labels. It then deduplicates, syncs to Google Sheets and the CRM (HubSpot or Salesforce), and surfaces real-time alerts for high-potential leads.
A concise description of its end-to-end workflow.
Monitor LinkedIn for new connections and post engagements.
Extract and normalize lead data from multiple sources.
Score leads with AI-based quality scoring and temperature labels.
Prevent duplicates by tracking leads for 90 days.
Sync leads to Google Sheets and the CRM (HubSpot or Salesforce) with custom fields.
Notify sales via Slack or Email for Hot and Warm leads.
This AI agent tackles real-world workflow bottlenecks by automating capture, scoring, deduplication, and CRM syncing.
A simple 3-step flow that anyone can follow.
Connect LinkedIn OAuth2, Google Sheets, and the CRM (HubSpot or Salesforce); configure sources to monitor.
The AI agent monitors LinkedIn every 15 minutes, extracts lead data, computes a quality score (0–100) and a temperature label, and checks for duplicates within 90 days.
Push leads to Google Sheets and the chosen CRM with custom fields; alert the team for Hot/Warm leads via Slack or Email.
One realistic scenario.
Scenario: A LinkedIn engagement by a sales rep leads to a new lead at Acme Corp. Within 15 minutes, the AI agent captures profile data, assigns a score of 78 (Warm), creates/updates records in Google Sheets and HubSpot with leadTemperature Warm and qualityScore 78, and sends a Slack alert to the team for rapid follow-up.
Six roles that gain from this AI agent.
Gain real-time, qualified lead data from LinkedIn to accelerate outbound outreach.
Scale prospecting with auto-captured data and auto-updates to CRM.
Source candidates from LinkedIn engagement and build pipelines.
Convert social engagement into opportunities to nurture.
Maintain up-to-date lead histories for context during calls.
Identify upsell opportunities from continued LinkedIn engagement.
The AI agent works across these platforms.
Monitors connections and post engagements; extracts lead data.
Stores leads with required schema and tracks updates.
Creates/updates lead records with leadTemperature and qualityScore.
Alternative CRM path with the same lead fields.
Delivers real-time alerts for Hot/Warm leads.
Provides optional email notifications for leads.
Six practical scenarios where the AI agent shines.
Common questions about the AI agent and its workflow.
The AI agent captures profile name, company, position, location, headline, profile URL, and engagement data such as connections, comments, likes, and shares. It normalizes this information for consistent storage in Google Sheets and the CRM. Data is stored under the defined columns and fields to ensure traceability and auditability. Access to this data is governed by your OAuth configuration and CRM permissions.
Yes. You can adjust the AI scoring model to reflect your criteria, and set thresholds that map to Hot, Warm, or Cold labels. The system uses engagement signals, profile completeness, and company context to compute quality scores. Threshold changes apply to new and existing records during subsequent runs. You can calibrate these to align with your sales process.
The AI agent tracks each lead for 90 days to avoid duplicates. Before creating or updating a record, it checks existing entries in Sheets and the CRM. If a lead is found with matching identifiers (e.g., email or profile URL), it updates the record instead of creating a new one. This approach minimizes clutter and ensures consistent follow-up.
The AI agent supports HubSpot or Salesforce. You enable one path during setup and disable the other. Records are created with the same fields for lead temperature and quality score, enabling a consistent view across systems. The integration handles field mappings and prevents conflicts between CRMs.
The AI agent runs every 15 minutes, 24/7, so new leads from LinkedIn activities are captured quickly. It performs data extraction, scoring, deduplication, and syncing in each cycle. You can adjust the interval if needed, but shorter intervals improve responsiveness for hot opportunities. Alerts are generated only for Hot or Warm leads to focus outreach.
Alerts are sent via Slack and/or email to the assigned sales recipients. Hot and Warm leads trigger notifications with key context (lead name, company, score, temperature, last engagement). Alerts include a direct link to the CRM or Sheet row for quick follow-up. You can configure the channels and recipients in setup.
All data access is controlled via OAuth2 credentials and the CRM's permission model. Data is stored in your own Google Sheets and CRM accounts, not external databases. The AI agent respects field-level permissions and audit trails. If your policy requires, you can implement additional data redaction or role-based access controls.
Monitor LinkedIn for new connections and post engagements, enrich data with AI scoring, deduplicate, and sync qualified leads to Google Sheets and HubSpot or Salesforce, while instantly notifying the sales team.
