Lead generation AI prompts

Browse the best lead generation prompts.

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15 prompts
Build your meeting list before the event

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.

Turn a Discover search into a monthly list engine

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.

Run an A/B test the planner way

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.

Save your best email as a template

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.

Check your credits before a big job

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.

Check Hunter's coverage before you commit to a list

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.

Build your Q1 lists in December

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.

Check your closed-lost contacts are still there

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.

Know who you're replying to

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.

Qualify this week's signups before you reply

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.

Close the year with personal check-ins

Build a check-in list from this year's sequences: anyone who opened, clicked, or replied, minus anyone tagged {{customer_tag}}. Re-verify the addresses, then draft one short, personal email per contact with a single specific reference to their year and a close along the lines of "if I can help as you plan, just reply". Success this month is a booked January call, so keep every draft free of anything that smells like a pitch.

Invite your warmest leads to a roundtable

Pull the recipients from {{sequence_name}} who opened or clicked but never replied, and re-verify their addresses before anything gets sent. Then draft a short invite to my {{roundtable_survey_or_podcast}}, personalized to each person's role, with one CTA and no links in the first email. Set it up as a new sequence in Hunter and leave it for my review, because an invite that reads like a mail merge defeats the point of the format.

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Run every prompt on this page from your AI assistant.

Connect Hunter to Claude, ChatGPT, or Perplexity. Every prompt below runs on your Hunter account and returns verified contacts with provenance attached, so your assistant knows where each one came from and how confident it should be before acting.