AI-Powered B2B Prospect Research and Scoring System - n8n Workflow

Sales Development Representatives (SDRs) needing automated lead qualification.
B2B Marketing teams requiring detailed company profiles quickly.
Data analysts looking to build complex, multi-source data ingestion pipelines using n8n.
Users seeking powerful n8n templates for generative AI report creation.

This sophisticated n8n workflow solves the tedious problem of manual B2B prospect research. By leveraging multiple specialized research tools (like Hunter for contact data, Airtop for scraping, and custom HTTP requests for LinkedIn data) alongside generative AI provided by OpenAI via Langchain, this n8n automation creates rich, actionable company profiles. The core value is the ability to standardize data collection, synthesize disparate information into a single comprehensive report, and apply a proprietary ISCP score for rapid qualification, all managed efficiently within a single, powerful n8n node sequence. This complex n8n workflow exemplifies how multiple data streams can be orchestrated and synthesized by AI.

1. Trigger and Input: The process starts with the On form submission n8n trigger. Input data (Company Name and Domain) is immediately captured and prepared by the Set company name and domain n8n node.


2. Parallel Data Gathering: The n8n workflow executes four research paths concurrently: retrieving contacts using the Hunter n8n node, performing web searches via the Perplexity Search HTTP Request n8n node, scraping and analyzing the company website, and retrieving structured LinkedIn company data.


3. Data Merging: All four parallel data streams converge at the Merge n8n node, consolidating all extracted information into a single item, ready for AI processing.


4. AI Synthesis: The unified data is fed into the Generate report LLM Chain, using an OpenAI Chat Model2 n8n node to synthesize the LinkedIn, Hunter, Perplexity, and scraped data into a cohesive B2B prospect report. This demonstrates advanced AI utilization within an n8n workflow.


5. Scoring and Structure: The workflow then calculates the crucial ISCP score using the specialized ISCP score LLM Chain n8n node. This particular n8n node utilizes a Structured Output Parser to ensure the AI output is reliable and consistently formatted.


6. Final Output: The Google Docs Create doc and Add report to doc n8n nodes handle the final step, automatically generating and populating a new document with the complete research results and the ISCP score, finalizing the automated research n8n workflow.

To deploy this advanced n8n template, follow these steps:

1. Import: Copy the provided JSON data and navigate to your n8n instance. Click "Add new workflow" and select "Import from JSON."


2. Credentials Setup: This n8n workflow requires multiple credentials:

1. Trigger Activation: Ensure the On form submission n8n trigger is correctly linked to your desired external input form.


2. Save and Activate: Save the complete n8n workflow and switch the workflow status to "Active" to begin processing inputs.

On form submission (n8n trigger): The starting point for this automated n8n workflow, receiving input data like Company Domain.
Hunter (n8n node): Retrieves professional email addresses and contacts associated with the target domain.
Airtop nodes (Search profile, Scrape webpage): Specialized nodes for initiating web data extraction. Scrape webpage pulls website content, which is then processed by an LLM.
Perplexity Search (HTTP Request n8n node): Performs broader contextual web research about the company.
Analyze scraped Page (Langchain/LLM Chain n8n node): Uses an LLM (OpenAI Chat Model n8n node) to quickly process and summarize the extensive raw content scraped from the company website.
Generate report (Langchain/LLM Chain n8n node): The central AI processing step, taking all merged data to generate a cohesive B2B prospect report using its linked OpenAI Chat Model2 n8n node.
ISCP score (Langchain/LLM Chain n8n node): Calculates a proprietary qualification score, leveraging a Structured Output Parser n8n node to ensure the output is reliable and machine-readable.
Google Docs (n8n nodes): The final action nodes (Create doc and Add report to doc) that handle the persistence of the generated research and scores.