Lead generation AI prompts

I'm {{{{your_role}} }} at {{your_company}}, selling {{your_offer}}. My ideal customer: {{icp_description — industry, size, location, anything distinctive}}.

First, use Hunter Discover to find {{number_of_companies}} companies matching that profile. Show me the list with a one-line reason each and let me remove any bad fits.

Then build a 2-recipient contact plan per company: [steps 1–4 identical to version one]

Finish with the same table and offer to save to a lead list.

I'm {{your_role}} at {{{{your_company}},}} reaching out about {{your_offer_or_reason}}. Here are my target companies: {{company_list_or_hunter_list_url}}.

For each company, use Hunter to build a 2-recipient contact plan. Research shows contacting 2–3 people at a company roughly doubles the odds of a reply, so:

1. Run a domain search and pick the best-fit named person for my offer — prefer a relevant non-executive (manager or individual contributor) over the CEO; non-executive pairs reply twice as often as executive pairs.
2. Add the company's generic inbox (info@, contact@, office@) as the second recipient if one exists — it outperforms a second named person because it gets forwarded internally.
3. If there's no generic inbox, add a second named person from a different department than the first — cross-department pairs beat same-department pairs.
4. Never exceed 3 recipients per company, and verify every address, dropping risky ones — bounces hurt my sender reputation.

Give me a table: company, recipient 1 (name, title, email, why them), recipient 2 (email, why), and confidence. Then ask if I want the contacts saved to a Hunter lead list.

I'm going to {{event_name}} and this is the exhibitor list: {{company_list}}. For each company, run a Domain Search and pull one contact in {{job_titles}} with a verified email address. I want meetings in the calendar before I arrive, so draft a two-line note per contact that mentions the event and asks for 15 minutes there.

Save my Discover search for {{ideal_customer_profile}} in Hunter under the name {{search_name}}. Whenever I ask you to run it from now on, rerun the saved search, check the results against my Hunter company list {{list_name}}, and show me only the companies that aren't in it yet. New companies enter my market every month, and this way I catch them without rebuilding the filters each time.

I want to test {{subject_line_or_body}} on my list {{list_name}}, and only that one variable. Draft two versions that differ in nothing else, create two sequences in Hunter, and split my verified contacts evenly between them, at least 50 per side, or tell me the list is too small for the result to mean anything. Leave both for my review. Once the sends finish, I'll come back and ask you to compare them by reply rate.

This email earned replies and I don't want to rebuild it from memory next quarter: {{paste_email}}. Save it in Hunter as a message template named {{template_name}}, with the personalization spots left as placeholders a sequence can fill from custom attributes. Confirm it's saved, so the next campaign starts from something already proven instead of a blank page.

Before we start, pull my Hunter account details: the plan I'm on, what I've used this month, and what's left. Then estimate what the job I'm about to hand you will use, based on {{rough_job_description}}, and tell me whether it fits. If it doesn't, suggest where to trim: fewer companies, fewer contacts per company, or verification only for the contacts that make the shortlist.

Here are the companies I'm considering: {{company_list}}. For each one, check how many email addresses Hunter has on file before I spend anything on contacts. Rank the list by coverage and split it in two: companies where Domain Search will carry the work, and companies where I'll be researching by hand. If more than a third sit in the second group, say so plainly, because that changes whether this segment deserves a quarter of my time.

Nothing gets sent this month. Build the three lists the Outreach Planner calls for in Q1 Month 1: my target audience via Hunter Discover ({{industry}}, {{location}}, {{employee_range}}), competitor switchers via the technology filter for {{competitor_technology}}, and companies hiring in {{department}}, which you'll research on the open web before Hunter finds the people. For each company, pull 1-2 contacts in {{job_titles}}, verify every address, and keep each list to 50-100 leads. Save the three groups to their own Hunter Leads lists named for the quarter and give me the totals, so January is ready before the holidays start.

These are deals I lost {{timeframe}} ago and want another run at: {{contact_list}}. Before I write a word, verify each contact's email with Hunter. Where the address is still valid, keep them on the list. Where it comes back invalid, the person has probably moved on, so run a Domain Search on the company and find whoever now holds {{job_title}}, with a verified address. Return the two groups separately, because the email to a brand-new person in the seat needs a completely different opening.

This came from an address I don't recognize: {{email_address}}. Enrich it with Hunter and give me the person's name, title, and company, plus the company's industry and size. Then tell me in one line whether they fit {{ideal_customer_profile}}, because that decides whether my reply is a calendar link or a polite pass.

I'm pasting the email addresses from this week's {{signups_or_trials}}. Enrich each one with Hunter to get the person's name, role, company, and company size, then score them against my ICP: {{ideal_customer_profile}}. Sort them into three groups: worth a personal reply from me today, fine on the standard welcome flow, and no action. Mark anyone Hunter returned no data for, since an address with no match deserves a closer look before I spend time on it.