24 prompts covering finding prospects, building lists, enrichment, and qualification before any outreach begins.
The 24 prompts
# 23. Cold ICP list build
"Build a list of [COMPANY TYPE] matching: [ICP CRITERIA]. Source: domain
and name only, no email lookup yet. Target: [N] companies. Output as
raw-leads.csv."
# 24. Job-posting trigger list
"Find companies posting [JOB TITLE] roles in the last 14 days.
Filter: [INDUSTRY, GEO, SIZE]. Return company, posting date, website,
employee count."
# 25. Funding-signal trigger list
"Find companies that raised funding in the last 90 days matching:
[ICP CRITERIA]. Return company, round, amount, date, and one sentence
on why this signals buying intent for our offer."
# 26. Lookalike company discovery
"Seed: [5-10 DOMAINS OF BEST-FIT CUSTOMERS]. Find [N] similar companies.
For each: why it matches, size estimate, geography, contacted before (Y/N)."
# 27. Competitor customer discovery
"Find companies that are current or likely customers of [COMPETITOR],
based on public case studies, testimonials, and integration marketplace
listings."
# 28. ICP filter pass before enrichment
"Filter this raw list against our ICP: [PASTE CRITERIA]. For each row,
check the company website and mark KEEP or DROP with a one-line reason.
Output filtered-leads.csv and dropped-leads.csv."
# 29. Email pattern finder
"For each row in this list, find the company's email pattern from
publicly visible addresses, or generate the most probable pattern.
Return: guessed email, confidence (high/medium/low), pattern used."
# 30. Decision-maker extraction
"From this company list, find the most relevant decision-maker per
company matching titles: [LIST TITLES]. Return name, title, LinkedIn URL."
# 31. Bulk profile enrichment
"Enrich these LinkedIn URLs: [PASTE]. Return role, company, location,
professional email if findable. Skip anything enriched in the last 30 days."
# 32. List quality scorecard
"Grade this list across 8 dimensions: email validity, title match,
company size fit, geography match, duplicate rate, missing fields,
seniority, domain health risk. Return score per dimension and overall grade."
# 33. Competitor engager scraping
"Competitor LinkedIn posts to monitor: [URLS]. Scrape commenters and
reactors. Filter for ICP matches. Return name, title, company, which
post they engaged with."
# 34. Tech-stack based list building
"Find companies using [SPECIFIC TOOL/TECHNOLOGY] that also match:
[ICP CRITERIA]. This signal indicates [SPECIFIC PAIN OUR OFFER SOLVES]."
# 35. Event and conference attendee list
"Based on [EVENT NAME]'s public speaker list, sponsor list, or attendee
signals, build a target list of likely attendees matching our ICP."
# 36. Referral network mapping
"From our current customer list: [PASTE], who else at their companies,
or at companies they are connected to, might also match our ICP?"
# 37. Dead lead reactivation list
"From our CRM export: [PASTE], find contacts that went cold 90+ days ago
but still match our ICP. Rank by likelihood to re-engage based on their
last interaction."
# 38. Waterfall enrichment across providers
"Enrich this list. Try [PROVIDER 1] first. If no email found, try
[PROVIDER 2]. If still none, try [PROVIDER 3]. Mark the source provider
per row that succeeded."
# 39. Duplicate detection across lists
"Compare these two lists: [LIST A] and [LIST B]. Flag exact duplicates,
probable duplicates (same company, different contact), and unique entries
in each."
# 40. Territory and account mapping
"Split this account list into territories by [CRITERIA: geography, size,
vertical]. Balance territories so total addressable revenue is roughly
equal across reps."
# 41. Intent signal aggregation
"Aggregate signals for this account list from job postings, funding news,
leadership changes, and tech installs. Score and route into tiers: urgent,
weekly, monitor."
# 42. The TAM sanity check
"Given ICP criteria: [PASTE], estimate our total addressable market size.
If under [THRESHOLD], recommend how to widen the criteria without losing
fit."
# 43. LinkedIn Sales Navigator search string builder
"Build the exact Sales Navigator filter combination (titles, seniority,
company size, geography, keywords) for this ICP: [PASTE]."
# 44. Prospect research brief before first contact
"Research [COMPANY NAME] and [CONTACT NAME]. Return: company overview,
recent news, the contact's likely priorities, and one specific detail to
reference in outreach."
# 45. List segmentation by buying stage
"Segment this list into cold, warm (engaged with content), and hot
(showed direct signal) based on: [DESCRIBE AVAILABLE SIGNAL DATA].
# 46. The disqualification sweep
"Run this list against our disqualifiers: [LIST]. Remove any row matching
a disqualifier and log the reason removed."