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Prompt

Find contacts by title and company size in Claude

Tools: Claude ▪ Lusha

Images and outputs on this page are for illustrative purposes only. The example below is a real result pulled live from Lusha, with personal details masked for privacy.

A good list is a narrow one. Ask Claude for an exact title at companies within a specific size range, and Lusha returns verified contacts that actually match, not a rough approximation. This play uses Lusha’s Claude connector and the verified contact layer underneath it.

How to set it up

01

Connect Lusha to Claude

Open the Lusha connector on Claude, or go to Settings → Connectors in Claude and add Lusha directly. Takes under a minute, no API key needed.

02

Set the title and size range

Swap in any job title, country, and employee-count range.

03

Get a verified, filtered list back

Claude returns matching contacts with verified emails, sourced live from Lusha.

The prompt

Open in Claude Open in ChatGPT 

Find VP of Sales contacts at US companies with 
201 to 500 employees. Only return verified emails.



What you'll get back

Real output, pulled live for this page. This filter matched 14,399 contacts, here are two from the result set:

NameTitleCompanyLocationEmail
Jared G.VP of Sales, North AmericaV##iceUnited StatesVerified work email
Evan C.VP of SalesD##agonSan Francisco, CAVerified work email

 

Every result matches the title and the size range exactly. No VP of Sales at a 5,000-person company slipping into a list meant for mid-market accounts.

 

Why use Lusha in Claude

Ask Claude the same question without Lusha connected, and it has no way to filter by real company size or confirm a title is current. It can describe what a VP of Sales role typically looks like, but it can’t hand you a list that actually matches your criteria.

Connect Lusha, and the filter becomes real. Company size, title, and country all run against verified data, so the list that comes back is the list you asked for, not a rough guess dressed up as one.

This is the same shift underneath every play in this library. Raw AI chat is a good draft. AI chat connected to verified data is a working answer.

FAQ

  • Any title. Lusha matches on the closest verified titles in its database, so it’s worth trying a couple of phrasings if the first one returns too few results.

     

     

     

  • Standard employee-count buckets, from 1 to 10 up through 10,000+. Ask for a range and Claude maps it to the closest valid bucket.

  • Yes. Add a country, state, or industry to the prompt and Claude passes it through as an additional filter.

  • Verified. Lusha confirms each email at the source before it’s returned, it’s not inferred from a company’s naming convention.

     

Related Prompts

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