Search LinkedIn Companies, Score with AI, and Add Them to Google Sheet CRM
This workflow automates the process of searching for target companies on LinkedIn and uses an AI scoring model to assess their potential. The results are then added to Google Sheets for CRM management. Users can flexibly set search criteria to ensure precise filtering of potential clients. This process efficiently addresses the time and accuracy issues found in traditional customer prospecting, avoiding duplicate data entry. It is suitable for various scenarios including sales, marketing, and CRM management, thereby enhancing work efficiency.
Workflow Name
Search LinkedIn Companies, Score with AI, and Add Them to Google Sheet CRM
Key Features and Highlights
This workflow automates the process of searching target companies on LinkedIn, retrieving detailed company information via the Ghost Genius API, evaluating company potential using an AI-powered scoring model, and automatically adding the filtered and scored company data into Google Sheets for CRM management. Highlights include:
- Flexible configuration of search keywords, geographic regions, and company sizes for precise company filtering.
- AI-driven analysis (based on GPT-4.1) to quantify business match scores, enabling sales and marketing teams to efficiently focus on high-potential leads.
- Automatic deduplication to prevent redundant entries of existing company data.
- Batch processing combined with throttling mechanisms to ensure stable API calls and avoid rate limits.
- Direct integration with Google Sheets for seamless team collaboration and follow-up.
Core Problems Addressed
Traditional lead generation is often time-consuming, manual, and lacks precision. This workflow effectively solves:
- Challenges in large-scale LinkedIn company data acquisition and organization.
- Low efficiency and accuracy in target customer filtering.
- Pain points related to duplicate data management and CRM updates.
- Risks of data synchronization errors and manual input mistakes across systems.
Application Scenarios
- Sales teams rapidly identifying potential customers aligned with company products or services during new client acquisition.
- Marketing professionals precisely targeting high-growth potential companies within specific industries.
- CRM administrators automating the maintenance and enrichment of customer databases.
- Any business or individual needing to evaluate and manage potential leads based on LinkedIn data.
Main Process Steps
- Set Variables: Users define target keywords, company size, geographic location, and product/service descriptions.
- Search Companies: Call the Ghost Genius LinkedIn Search API to retrieve a list of target companies, supporting paginated batch fetching.
- Split Data: Break down search results into individual company records for processing.
- Fetch Company Details: Use API calls to obtain detailed information for each company, including employee count, industry, and descriptions.
- Filter Valid Companies: Exclude companies lacking a website or with fewer than 200 followers.
- Deduplication Check: Determine if the company is new by checking existing company IDs in Google Sheets to avoid duplicates.
- AI Scoring: Apply a GPT-4.1-based AI model with predefined positive and negative indicators to score companies on interest match (scale 0–10).
- Throttle Wait: Insert a 2-second delay to prevent excessive API call frequency.
- Add to CRM: Write the scored company data into the “Companies” worksheet in Google Sheets.
- Loop Processing: Repeat the above steps for all companies to complete batch data management.
Involved Systems and Services
- Ghost Genius API: Provides LinkedIn company search and detailed company information.
- OpenAI GPT-4.1: Powers AI-based company scoring and lead interest evaluation.
- Google Sheets: Serves as a lightweight CRM database for storing and managing company data.
- n8n Automation Platform: Enables end-to-end workflow automation and data orchestration.
Target Users and Value
- Business developers, sales teams, and marketing professionals seeking to accurately identify and prioritize potential clients to improve sales conversion rates.
- CRM administrators and data analysts aiming to simplify data collection, deduplication, and evaluation processes to maintain a high-quality, up-to-date customer database.
- Startups and small-to-medium enterprises leveraging automation and AI to lower customer acquisition barriers and save labor and time costs.
- Any enterprise user wishing to combine LinkedIn data with AI capabilities for intelligent customer profiling and scoring.