These 60 ChatGPT prompts for sales prospecting each describe one buyer in one sentence, grouped by role and by industry. Copy one, change a detail and get a real list. Run them in Scalelist’s Lead Finder, or in ChatGPT and Claude through the Scalelist connector. Fourteen of them come with the number of people they matched on 27 September 2026.
How to use these ChatGPT prompts for sales prospecting
Use these prompts as the “who” of your search: paste one into a tool that can find real people, check what it understood, then pull a batch. A chatbot alone can write prompts like these, but it cannot return verified work emails or mobile numbers.
- In Scalelist. Paste a prompt into Scalelist’s Lead Finder. It shows what it understood and how many people match before you spend a credit.
- In ChatGPT or Claude. Connect the Scalelist MCP server, then wrap the prompt in one of the run-the-search prompts below. OpenAI lists developer mode, which custom MCP apps need, for Plus, Pro, Business, Enterprise and Education accounts, on the web (OpenAI developer mode guide).
- To write your own. Our guide on how to describe your ICP in one sentence covers the method behind every prompt on this page.
Change one part to make a new prompt
Each prompt has up to five parts. Change one and you have a new list, which is how 60 prompts cover most B2B markets.
| Part | Swap it for | Example change |
|---|---|---|
| Title | The person who owns the problem you solve | “CFOs” to “Controllers” |
| Industry | The plain name the industry uses for itself | “manufacturers” to “construction companies” |
| Location | A country, a state or a city | “US” to “in Ohio” |
| Size | An employee range, never “SMB” or “mid-market” | “51 to 500” to “201 to 1,000” |
| Time in role | “who changed jobs in the last 3 months” | Add it for new leaders |
Sales prospecting prompts by role
These sales prospecting prompts start from the buyer’s job. Use them when you sell to one function across many industries.
Sales leaders (prompts 1 to 5)
2. VPs of Sales at US software companies with 51 to 500 employees who changed jobs in the last 3 months
3. Chief Revenue Officers at US companies with 201 to 1,000 employees
4. Sales directors at manufacturers in Ohio, Indiana and Michigan with 201 to 1,000 employees
5. Sales development managers at software companies in Texas with 51 to 500 employees
- Use these to sell sales tools, training or data. The VP of Sales owns the number and usually the budget.
- Prompt 2 finds new leaders, who are building their plan. See how to work new executives in their first 90 days.
- Matched on 27 Sep 2026: prompt 1, 1,774 people; prompt 2, 134.
Marketing leaders (prompts 6 to 10)
7. Heads of Demand Generation at software companies in New York with 51 to 200 employees
8. Marketing directors at US manufacturers with 201 to 1,000 employees
9. CMOs at US hospitals and health care organizations with 201 to 1,000 employees
10. Marketing managers at staffing and recruiting firms in California with 11 to 200 employees
- Title depth matters: at 51 to 200 employees, a Head of Demand Generation often owns the pipeline target, so prompt 7 reaches the person measured on it.
- At smaller firms, as in prompt 10, the marketing manager may be the whole team, so pitch time saved, not headcount.
Finance leaders (prompts 11 to 15)
12. Controllers at US construction companies with 51 to 200 employees
13. VPs of Finance at software companies in California with 201 to 1,000 employees
14. Finance directors at hospitals and health care organizations in Florida with 201 to 1,000 employees
15. Controllers at US logistics and supply chain companies with 51 to 500 employees
- Below about 200 employees, the controller often runs finance day to day, so prompts 12 and 15 reach the person who feels the pain.
- A size range keeps the list honest: “CFOs in the US” alone matched over 280,000 people on 27 Sep 2026.
- Matched on 27 Sep 2026: prompt 11, 8,131 people; prompt 12, 5,824.
HR and people leaders (prompts 16 to 20)
17. HR managers at manufacturers in Ohio with 51 to 500 employees
18. VPs of Human Resources at US hospitals and health care organizations with more than 1,000 employees
19. Talent acquisition directors at US IT services companies with 201 to 1,000 employees
20. HR directors at logistics and supply chain companies in Georgia with 201 to 1,000 employees
- Software companies say “Head of People”; manufacturers say “HR manager”. Use the title each industry uses.
- Use prompt 19 for recruiting tools, and prompts 17 and 20 for benefits, payroll or safety training.
- Matched on 27 Sep 2026: prompt 16, 456 people.
IT and security leaders (prompts 21 to 25)
22. CIOs at US hospitals and health care organizations with more than 1,000 employees
23. Heads of IT at law firms in Illinois with 51 to 500 employees
24. CISOs at US financial services companies with 201 to 1,000 employees
25. IT managers at US accounting firms with 11 to 200 employees
- Use CIO for large organizations, as in prompt 22. Below 500 employees, run “IT director” and “head of IT” versions too and compare the counts.
- Regulated industries, such as law, finance and health care, give security sellers a reason to call that the buyer already accepts.
Founders, owners and CEOs (prompts 26 to 30)
27. Owners of construction companies in Arizona with 11 to 50 employees
28. Owners of trucking and logistics companies in Tennessee with 11 to 200 employees
29. Presidents and owners of US manufacturers with 11 to 50 employees
30. CEOs of US management consulting firms with 11 to 50 employees
- Under 50 employees, the owner signs for almost everything, so skip the functional title.
- These lists suit phone-first outreach: reveal mobiles for the owners you plan to call this week.
Prospecting prompts by industry
These prospecting prompts start from the industry and go to several buyers inside it. Use them when you sell to one vertical.
Manufacturing (prompts 31 to 35)
32. Plant managers in Ohio
33. Directors of supply chain at US food and beverage manufacturers with 201 to 1,000 employees
34. Quality managers at medical device manufacturers in Minnesota with 51 to 500 employees
35. Procurement directors at US industrial machinery manufacturers with 201 to 1,000 employees
- Operations and plant leaders own uptime, shifts and overtime, so they take calls about anything that touches the floor.
- Prompt 32 has no industry or size on purpose: the title already says manufacturing, and one state keeps it to one territory.
- Matched on 27 Sep 2026: prompt 31, 6,277 people; prompt 32, 3,320. More in our manufacturing lead generation playbook.
Staffing and recruiting (prompts 36 to 40)
37. Owners of staffing and recruiting firms in Texas with 11 to 50 employees
38. Branch managers at staffing and recruiting firms in North Carolina with 51 to 500 employees
39. VPs of Operations at US staffing and recruiting firms with 201 to 1,000 employees
40. Directors of recruiting at staffing and recruiting firms in California with 51 to 200 employees
- Many staffing firms are owner-run, so at 11 to 50 employees the owner is usually the person to call.
- At larger firms, branch managers, as in prompt 38, often run their own office and can say yes locally.
- Matched on 27 Sep 2026: prompt 36, over 33,000 people; prompt 37, 428.
IT services and MSPs (prompts 41 to 45)
42. Owners of IT services companies in Florida with 11 to 50 employees
43. Service delivery managers at IT services companies in Colorado with 51 to 200 employees
44. Heads of Sales at US IT services companies with 51 to 200 employees
45. CTOs at IT services companies in Texas with 11 to 200 employees
- Write “IT services companies” rather than “MSPs” (managed service providers): it is the plain industry name, and the chips show you what was understood.
- Sell tools to the owner or CTO; sell pipeline services to the head of sales in prompt 44.
- Matched on 27 Sep 2026: prompt 41, over 120,000 people; prompt 42, 1,403.
Healthcare (prompts 46 to 50)
47. Practice managers at medical practices in Colorado with 11 to 50 employees
48. Directors of nursing at hospitals and health care organizations in Pennsylvania with more than 1,000 employees
49. Revenue cycle directors at US hospitals and health care organizations with more than 1,000 employees
50. Dentists at dental practices in California with 1 to 10 employees
- Hospitals and health care is one broad industry, so the title does the narrowing: “revenue cycle director” is a narrow list, “director” is not.
- At small practices, as in prompts 47 and 50, the practice manager or the dentist makes the call. Our healthcare email list guide covers this market in depth.
- Matched on 27 Sep 2026: prompt 46, over 107,000 people.
Software and SaaS (prompts 51 to 55)
52. Heads of Customer Success at software companies in Massachusetts with 51 to 200 employees
53. VPs of Engineering at US software companies with 201 to 1,000 employees
54. Revenue operations managers at software companies in Colorado with 51 to 500 employees
55. CTOs at software companies in Florida with fewer than 500 employees
- Write “software companies”, not “tech”: “tech” can be read as several industries at once.
- Prompts 52 to 54 split one company into three buyers. Run them as three lists with three messages.
- Matched on 27 Sep 2026: prompt 51, over 83,000 people.
Professional services (prompts 56 to 60)
57. Managing partners at accounting firms in New Jersey with 11 to 200 employees
58. Office managers at law firms in Chicago with 11 to 50 employees
59. Partners at US law firms with 51 to 200 employees
60. Operations directors at architecture firms in Washington State with 11 to 200 employees
- In partner-owned firms, the managing partner signs, but the office manager (prompt 58) often picks the tools.
- Keep law, accounting and consulting as separate prompts; they buy differently.
- Matched on 27 Sep 2026: prompt 56, over 63,000 people.
How many people these prompts match
The 14 prompts we counted range from 134 people to over 120,000, which is why you should check the count before you pull anyone.
Counts are profiles that match the prompt, not verified contacts, and they move as people change jobs. Recount before each new batch: it is free. When a count is in the tens of thousands, add a size range, a state or time in role until it fits the calls your team can make this month.
ChatGPT prompts that run the search for you
Once the Scalelist connector is set up in ChatGPT or Claude, wrap any prompt above in one of these four. They make the assistant count first, pull small batches and never guess a contact detail.
Find: [paste a prompt from this page].
First, count how many people match and tell me what you searched for. Do not add anyone yet.
If the count is under 2,000, add the first 25 and show name, title, company and city.
Never guess an email or a phone number. Only use what Scalelist returns.
- The count is free, so the assistant checks the market before it spends a credit.
- “Tell me what you searched for” is your chance to catch a misread title or industry.
A: [prompt]
B: [prompt]
C: [prompt]
- Use it to pick the segment worth a campaign before you commit a rep to it.
Show each email's status: Valid, Risky or Not found.
Skip anyone with no mobile number found.
- You pay 1 credit per email found and 20 per mobile found; a miss costs 0.
Base it only on their title, company, industry and company size.
Do not invent facts about the person or the company.
- The last line matters: without it, a chat assistant can fill gaps with details that are not true.
Paste any of these 60 prompts into Scalelist and see how many people match before you spend a credit.
Describe your buyer in one sentenceMistakes to avoid when you prospect with ChatGPT
The costly mistakes happen when ChatGPT is used as a contact database instead of a writing and reasoning tool.
- Asking ChatGPT alone for emails. ChatGPT does not sell contact data; it reaches it only through connected apps. Without one, any email it gives you is a guess.
- Asking for company lists from memory. A chatbot’s list of “companies that fit” may be out of date. Let the data tool return the companies.
- Pulling before counting. Adding leads costs 1 credit each. Count first, then pull 25 to 100.
- Pasting ten prompts at once. You get one mixed list. Run one prompt per list.
- Skipping the check. Read what the tool says it searched for. A misread industry is the most common reason a list looks wrong.
For mistakes inside the sentence itself (vague sizes, needs instead of people, several buyers in one line), see the one-sentence prompt guide linked at the top of this page. The full picture of what ChatGPT can and cannot do for lead generation is in its own guide.
Where Scalelist fits
Scalelist, an AI Lead Finder, is the data behind these prompts: you paste a sentence, it returns matching people with verified work emails and mobile numbers.
- Count for free. See what Scalelist understood and how many people match before you spend a credit.
- Pay only when found. 1 credit per lead, 1 per email found and 20 per mobile found. A miss costs 0.
- Know what you can send. Every email is verified before it is returned and labelled Valid or Risky.
- Get the mobile, not just the email. In our provider benchmark, Scalelist found a phone number for 87% and an email for 92% of the same North America list.
Scalelist finds and verifies contact details on demand instead of reselling pre-compiled lists. New accounts get 20 free credits, and plans start at 29 USD a month for 500 credits. It is the list-building step of AI lead generation; for the full routine from one sentence to a call list, follow our walkthrough to build a lead list with AI.
FAQ
What are good ChatGPT prompts for sales prospecting?
Good ChatGPT prompts for sales prospecting describe one buyer in one sentence, for example “Controllers at US construction companies with 51 to 200 employees”, and ask the assistant to count before it pulls anyone. Pair them with a connected data source such as Scalelist, because ChatGPT on its own has no verified contact data to return.
Can ChatGPT find a prospect’s email and phone number?
Not on its own. ChatGPT does not sell contact data and reaches it only through connected apps or custom MCP apps. Connect a data tool such as the Scalelist MCP server, and ChatGPT can run the search and return verified work emails and mobile numbers, labelled Valid, Risky or Not found. Without a connector, treat any email it gives you as a guess.
How do I connect Scalelist to ChatGPT?
Add the Scalelist MCP server as a custom app in ChatGPT’s developer mode, sign in, and then use the run-the-search prompts on this page. OpenAI lists developer mode for Plus, Pro, Business, Enterprise and Education accounts on the web, and full read and write access for Business and Enterprise. Setup steps are on the Scalelist MCP server page.
Why is my count different from the one on this page?
Counts move as people change jobs and profiles update, and ours were taken on 27 September 2026. A different count can also mean your tool read the prompt differently, so check the understood title, industry, location and size. In Scalelist, recounting is free, so check the number again before every new batch.
Can I use these prompts outside the United States?
Yes. Replace the location with a country, state or city, for example “in the United Kingdom” or “in Germany”, and keep the rest. Coverage varies by region: in our benchmark, Scalelist found a phone number for 73% of the list in EMEA and 75% in APAC, against 87% in North America. Size the search first.
Is it worth using AI for sales prospecting?
For list building and research, often yes. In Salesforce’s 2026 State of Sales survey of 4,050 sales professionals, high performers were 1.7 times more likely than underperformers to use AI agents for prospecting. That is a correlation from a vendor survey, not proof. Test it yourself on one segment and compare meetings booked.
Sources
- OpenAI: developer mode guide
- OpenAI Help Center: developer mode and MCP apps in ChatGPT
- Salesforce: State of Sales report, 7th edition, announcement (February 2026)
- Scalelist people count (POST /api/v1/people/count), queried 27 September 2026, 0 credits.
