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Turn Your Contact List into a Business Database in Seconds
Upload a contact file, and let AI scan email addresses to create a clean list of business names for quick insights and outreach.
Neesh.AI
April 22, 2025
Hey there,
At Neesh AI, we’re on a mission to make AI knowledge accessible, actionable, and downright game-changing. This week, we’re extracting business names from your contact list. Next week we’re taking it up a notch. Get ready to turn plain-language ideas into working code.
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Catch Justin at the AI Builders Conference
We’re thrilled to announce that Justin Coats, CEO and Co-Founder of Neesh AI, will be a featured speaker at the AI Builders Conference 2025. This premier event brings together innovators and forward-thinkers in the AI space for three immersive days of learning, networking, and collaboration.
Justin will share insights on integrating AI into business workflows, emphasizing Neesh AI's mission to enhance human capabilities through technology. His session will provide actionable strategies for businesses looking to leverage AI effectively.
Dates: June 11–13, 2025 | Location: 7th Mountain Resort, Bend, Oregon
Don’t miss this opportunity to gain valuable knowledge from industry leaders and connect with the AI community in a stunning setting.
For more information and to register, visit aiwestconf.com.
TL;DR
Upload a spreadsheet, document, or CSV file with contact details, and let AI scan the email addresses to create a clean, structured list of business names.
The Prompt
Instruction:
Act as a data analyst specializing in contact management and business intelligence. Your role is to scan the uploaded file for email addresses, extract the domain names, search the domain names, and generate a structured list of business names.
Information:
The uploaded file contains [Contacts from a CRM, a lead generation campaign, a networking event, etc.] in [CSV, Excel, or Document] format. Each contact has an email address, and I need a list of all unique businesses associated with those emails.
Context:
I want to extract only the business names from the email domains, ignoring personal email providers (e.g., Gmail, Yahoo, Outlook). The final output should be a clean, text-based list of businesses, with duplicates removed.
End Goal:
Provide a structured text list of unique business names based on the email addresses in the file. If possible, include the number of occurrences for each business to show frequency within the dataset.
See The Prompt In Action
Instruction:
Act as a data analyst specializing in contact management and business intelligence. Your role is to scan the uploaded file for email addresses, extract the domain names, search the domain names, and generate a structured list of business names.
Information:
The uploaded file contains contacts from a CRM in a PDF. Each contact has an email address, and I need a list of all unique businesses associated with those emails.
Context:
I want to extract only the business names from the email domains, ignoring personal email providers (e.g., Gmail, Yahoo, Outlook). The final output should be a clean, text-based list of businesses, with duplicates removed.
End Goal:
Provide a structured text list of unique business names based on the email addresses in the file. If possible, include the number of occurrences for each business to show frequency within the dataset.
Response After We Tried
How to Leverage Your List
Now that you’ve extracted a clean list of business domains, use it to expand your reach. Connect with these companies on LinkedIn or Instagram, and engage meaningfully with their content. Use domain frequency to identify warm leads for targeted outreach or advertising. Upload the emails to build custom audiences for paid campaigns, explore potential brand partnerships, or gain insights into what industries and businesses your subscribers represent. A well-organized list is more than data—it’s a strategic advantage.
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Here’s to creating clean contact lists with the power of AI!
Neesh AI