How to find and enrich business contacts with ChatGPT
Turn a company list into a reviewable contact shortlist with ChatGPT and Siftree: define roles, check source matches, preserve verification status, and save results.
How do I find business contact information in ChatGPT?
Connect ChatGPT to Siftree and describe the companies and roles you want to research. Siftree discovers and enriches business contacts, resolves people to companies, combines relevant account context, and saves the results in your databases. You get contact information with source evidence and available verification details. Siftree handles matching, deduplication, and the database structure behind the work.
How this workflow fits: Siftree is the headless engine for agents. Build a prospecting solution through your own chatbot connected over MCP. We manage data integration, the data and AI platform, app and agent cloud, and security. Explore the sources and connections for your workflow through the available integrations.
Describe your target accounts and buyers
A useful contact workflow starts with who matters to your business. Share a company list or describe the market, geography, and roles you want to reach. Siftree handles finding the relevant information and bringing it together.
For example, you might want operations leaders at expanding field-service companies, or marketing decision makers at a known account list. The goal is a researched handoff that explains why each person fits.
Make the request from ChatGPT
After connecting ChatGPT, use a request such as:
Research operations leaders at these target accounts.
Include the business contact details and company context our reps need.
Explain why each person matches the role, link the supporting sources,
and keep ambiguous matches or unavailable details visible.
Save the research so we can search it and ask follow-up questions later.
Siftree handles collection, enrichment, identity resolution, and the databases underneath.
Get context alongside contact details
A name and email address are more useful when they come with a reason to care. Siftree can bring together business contact information, company research, public signals, and your connected CRM context.
| Result | Why it helps |
|---|---|
| Matched person and company | Identifies the buyer at the intended account |
| Current role and relevance | Explains why the person fits your request |
| Available business contact details | Gives the team a practical next step |
| Source and freshness information | Makes the research inspectable |
| Account context | Connects the person to the business opportunity |
| Ambiguous or unavailable information | Keeps uncertainty visible rather than inventing a value |
Siftree resolves identities and handles duplicate records. Missing information remains missing, and available verification information stays connected to the source result.
Explore the worked example
The contact-review CSV organizes accepted, ambiguous, and unavailable results for review.
A useful result distinguishes a strong role match from a person with a similar name at another company. The example shows those states explicitly, so a rep can understand the handoff instead of treating every returned row as equally certain.
Keep the research available to the team
The results live in persistent databases. Use neural search to find contacts and accounts by meaning, or ask analytical questions such as how many target accounts have a matching operations leader.
Siftree can bring the research into a connected CRM or a hosted team interface. Contact research and outbound sending are separate actions: researching a person does not itself send an email or enroll them in a campaign.
The buying-signal radar template organizes account evidence and handoffs. Explore contact enrichment for the overall capability, or host a workflow when the research should keep running.
For the initial question, read Can ChatGPT find business contact information?.
Sources & methodology
Product details and supporting references used in this guide.
Co-founder, Siftree
Kyle co-founded Siftree after working in data across telecom, media, insurance, automotive, and entertainment and tourism. He writes Siftree's software comparisons and buying guides from the vendor documentation linked in each article.
Prospecting
See it with your own workflow.
Start with Prospecting, or have us build around your team's workflow. Bring the data you use, the work you want done, and where the result should go. We'll scope the app and required access with you.