π£ Ai prospect researcher +ISCP only need company name and domain
β‘ 664 views Β· π£ Lead Generation & Enrichment
π‘ Pro Tip β If youβre pulling LinkedIn data through HTTP requests or dealing with API restrictions, thereβs a community node called ScraperNode that handles this natively. It has dedicated scrapers for profiles, companies, jobs, and people search β you just pass a URL and get structured data back.
Description
AI Prospect Researcher +ISCP only from Domain and Company Name
This workflow finds available email addresses, researches the company using public data (LinkedIn, website scraping, etc.), calculates the ISCP score, and delivers a complete, ready-to-use report.
This workflow is designed for professionals and teams seeking to scale their B2B research with comprehensive company intelligence. It automates the full prospect analysis process β from extracting contact data and scraping website content to gathering market insights and generating structured reports with GPT-4.
Using a combination of Hunter.io, Perplexity AI, Airtop, and OpenAI, this system creates a detailed Google Doc profile for each company, complete with decision-maker identification and ISCP scoring. Whether youβre conducting market research, qualifying leads, or preparing investor briefings β this tool delivers actionable business intelligence in minutes, without manual data collection.
The process is battle-tested, with built-in error handling, and suitable for sales teams, market researchers, or founders conducting competitive analysis.
How it works
Once triggered (via form or spreadsheet), the workflow:
- Uses Hunter.io to discover professional emails associated with the domain
- Leverages Perplexity AI to gather web-wide company intelligence and industry context
- Scrapes the company website using Airtop to extract services, products, and key pages
- Optionally enriches with LinkedIn data via Apify (company size, specialties)
- Processes all inputs through GPT-4 to:
- Generate an executive summary
- Identify potential decision-makers
- Calculate an Ideal Service Customer Profile (ISCP) match score
- Produces a finalized report in Google Docs with:
- Company overview
- Key contacts
- Market positioning
- Recommended outreach approach
This is a turnkey solution for teams who need deep company profiles without the hours of manual research and data stitching.
π Nodes Used
Google Sheets, HTTP Request, Hunter, Google Docs, Basic LLM Chain, OpenAI Chat Model
π₯ Import
Download workflow.json and import into n8n:
Workflow menu β Import from File