Monitor LinkedIn for target companies, score them with GPT-4 AI, and export qualified prospects to Google Sheets CRM with deduplication and alerts.
The AI agent searches LinkedIn for target companies using your filters and collects essential data. It scores each company against your ICP with GPT-4 AI and ranks leads by fit. It exports qualified leads to Google Sheets CRM, prevents duplicates, and notifies your team when high-priority prospects are found.
A concise run-down of capabilities.
Search LinkedIn with configured filters to identify potential companies.
Gather in-depth company details needed for qualification.
Score each company against ICP using GPT-4 AI.
Deduplicate data before exporting to Google Sheets.
Export qualified leads to the Google Sheets CRM.
Notify stakeholders when high-scoring leads are added.
Before: manual LinkedIn research is time-consuming and inconsistent. After: automated ICP-aligned lead discovery, scoring, deduplicated export, and timely notifications streamline outbound.
A simple three-step flow for non-technical users.
Define LinkedIn search filters and ICP criteria to target the right companies.
Apply GPT-4 AI to score each lead against ICP and rank by fit.
Export qualified leads to Google Sheets CRM, deduplicate, and notify teams.
A realistic, time-bounded scenario.
Scenario: In 60 minutes, configure filters for SaaS, North America, and 11–200 employees; run the LinkedIn search; score 50 companies with the GPT-4 model; export 12 high-scoring leads to Google Sheets CRM; deduplicate ensures no duplicates, and the team is notified of the top 3 prospects.
Roles that gain from automated ICP-driven prospecting.
Rapidly assemble ICP-aligned prospect lists for outreach.
Quickly qualify ICP-fit prospects and prioritize outreach.
Maintain clean, de-duplicated prospect data for campaigns.
Scale client prospecting with automated ICP scoring.
Reduce time spent on manual prospecting and data entry.
Monitor pipeline quality with objective lead scoring.
Core tools connected to the AI agent workflow.
Source company data via filter-based search.
Store, deduplicate, and share leads in a structured sheet.
Score leads against ICP to quantify-fit.
Coordinate API calls and parameterization between data sources.
Concrete scenarios for immediate value.
Common questions about setup and outcomes.
The AI agent uses LinkedIn as a data source, but you do not need direct integration with individual accounts. Filters define which companies to include, and the data fetched is aggregated for scoring. Connectors handle authorization securely, and you can adjust permissions as needed. If a data source changes, you can modify filters without altering the scoring logic.
Yes. The scoring prompts and ICP parameters are configurable in the setup. You can adjust weightings, required attributes, and scoring thresholds to reflect your product and ICP. The system supports iterative tuning so you can improve precision over time. Expect changes to reflect in future lead rankings after re-scoring.
The AI agent checks existing rows before export and uses a unique lead key (like a URL or company ID) to identify duplicates. If a lead already exists, it updates the row rather than duplicating. A timestamped export keeps a clean history. You can reset or adjust dedup rules if needed.
The AI agent respects the terms of service for data sources and the storage platform. Data usage follows your organization’s policies and any applicable privacy rules. If a source restricts how data can be used, you can tailor the export rules accordingly. Always review compliance settings during setup.
If no leads meet the ICP criteria, the agent completes the run without exporting. You receive a notification that no qualifying leads were found. This allows you to adjust filters or ICP rules and re-run the search promptly. The workflow remains repeatable and schedulable for future campaigns.
Yes. Alerts can be configured to notify specific groups via email, Slack, or other channels. You can set thresholds (for example, top 5 leads) and route them to different recipients based on region or industry. Notifications help teams respond quickly to high-priority matches.
Limits depend on your plan and API quotas. The AI agent gracefully handles large batches by processing in chunks and applying deduplication. You can adjust filters to manage batch sizes, or schedule runs to spread workload. For very large campaigns, consider incremental runs to maintain responsiveness.
Monitor LinkedIn for target companies, score them with GPT-4 AI, and export qualified prospects to Google Sheets CRM with deduplication and alerts.
