Prompt

Build a verified prospect list from a natural-language ICP

Built by: Lusha
Time to build: 1 min
Difficulty: Easy
Tools: ClaudeLusha

A Claude prompt that turns a plain-English ICP description into a list of named decision-makers with validated emails and direct dials. Paste the prompt into Claude with the Lusha connector enabled, describe the ICP in your own words, and Claude returns a callable list in one run.

Once Lusha is connected in Claude, the connector runs in the background — no special syntax needed. Just paste the prompt and run.

Images on this webpage are for illustrative purposes only. Any named individuals shown in live demo outputs are real, with last names abbreviated for privacy.

The prompt

<context>
I want to build a verified prospect list inside Claude using the Lusha connector.
I sell [PRODUCT] to [BUYER DESCRIPTION].
</context>

<task>
1. Find companies via Lusha company search:
   industry [INDUSTRY], headcount [RANGE, e.g. 200-2000],
   geography [REGION], tech in use [TECH, optional].
2. For each company, find contacts with title containing:
   [TITLE 1], [TITLE 2], [TITLE 3].
3. Enrich each contact with verified email and direct dial.
4. Return a table:
   Full name | Title | Company | Email | Direct dial | LinkedIn.
</task>

<constraints>
- Validated emails only.
- Cap at 25 contacts.
- If fewer than 10 results, suggest one filter to relax.
</constraints>

What you'll get back

Input: Industry — B2B SaaS (Software Development) · Headcount — 201–500 · Geography — United States · Titles — VP Revenue, CRO, Head of Sales.

Output: 34 matching contacts identified in the first batch. Below is a real slice of the live result — five verified revenue and sales leaders at named US SaaS companies, all with validated work emails and direct dials.

ContactTitleCompanyValidated emailDirect dial
Christian F.Vice President, Head of Sales [Generative AI SaaS, ~300 emp.]
Namrata R.VP of Revenue Strategy and Operations[AI infrastructure, ~250 emp.]
Erik W.SVP, Head of Enterprise Sales[Fintech SaaS, ~400 emp.]
Mason D.VP and Head of Global Growth Sales[Creator economy SaaS, ~350 emp.]
Craig F.VP of Sales and Enterprise Growth[Logistics SaaS, ~450 emp.]

Names and company identifiers abbreviated for privacy. Full records — including emails and direct dials — are returned inside your Claude session.

Why it works

A general-purpose LLM can describe an ICP. It can’t confirm the people inside it. The Lusha connector closes that gap inside the same Claude session — Claude resolves the filters, searches the verified company and contact base, and enriches each row with email and direct dial in one flow.

The prompt pulls from 300M+ verified contacts under GDPR, CCPA, SOC 2, ISO 27701, ISO 31700, and TRUSTe — safe to act on across regions.

FAQ

  • What if my ICP returns too few results?

    The prompt is built to suggest one filter to relax. Start by widening headcount or geography before loosening the title list.

  • Can I filter by funding stage?

    Funding is a signal in Lusha’s data model, not a direct filter on this prompt. To prospect by funding stage, use the Find recently funded companies prompt — it runs against Lusha’s signals layer.

  • Can I save the list to my CRM directly from Claude?

    The Claude output is a structured table you can copy into a CRM. Direct CRM push runs through Lusha’s standard integrations.

  • Is the data compliant for outreach in EMEA?

    Yes — Lusha contact data is sourced and processed under GDPR. EMEA email accuracy is published at 98%.

  • Can I describe the ICP in a single sentence?

    Yes. The prompt parses natural language. “B2B SaaS companies in the US with a VP of Revenue” is enough to run.

Ready to run this?

One data connection. Works in Claude, ChatGPT, your CRM, or any agent you build.