

How to find similar companies
Paste your seed companies or account list
Drop in a seed company or account list. Sculptor searches Clay's company database for lookalike companies that share your best customers' firmographic and growth profile.
Sculptor sources and enriches lookalike accounts
Sculptor matches companies similar to your seed list using AI-powered similarity scoring across industry, size, tech stack, and hiring activity, then waterfalls through 150+ providers to find a verified email for the target title on matched rows.
Review your lookalike list with verified contact emails
The finished table has company name and, for rows the waterfall enriched, a verified email for your target title. Push to Smartlead, Instantly, or your sequencer to trigger outbound.
Why Clay for finding similar companies

AI-powered lookalike matching from any seed list
Get a list of companies that mirror your best accounts. Clay's Find Company Lookalikes action uses AI similarity scoring across industry, headcount, funding stage, tech stack, and hiring activity to surface the closest matches.
Waterfall enrichment on matched lookalike rows
Get a verified email for the target title on matched rows. Clay waterfalls through 150+ providers and only charges credits when one returns a hit, giving you high match rates on common B2B titles.


ICP scoring layered on every returned account
Score each lookalike against up to 15 criteria including funding stage, tech stack depth, and hiring signals. Clay's AI formula columns handle ambiguous cases and return a fit score with reasoning for each row.
Push finished list to HubSpot or Smartlead
Send scored lookalike accounts and verified contacts directly to HubSpot for CRM tracking or into a Smartlead campaign for outbound sequences, all without leaving Clay.

Clay gave us the ability to define what a great customer looks like on our terms. Not just industry and title, but the signals that actually predict who will buy. Our reps are working better lists, closing faster, and generating 19% more revenue per head.
Frequently asked questions
How does Sculptor find similar companies?
Sculptor runs Clay's native Find Company Lookalikes action against the target company you enter. It matches on industry, company size, hiring trends, and tech stack to return up to 10 lookalike firms per input. It then queries multiple contact-data providers through waterfall enrichment to attach a verified VP of Sales email to each matched company, so you get a ready-to-use list in one step.
How accurate are Clay's lookalike company results?
Lookalike matches are scored on firmographic attributes like industry, headcount, revenue, and tech stack, so relevance stays high when your seed company has a clear profile. For VP of Sales emails, Clay's waterfall enrichment queries providers in sequence and lifts coverage from roughly 30% with a single source to 80% or higher. Lusha contacts return with 98% email deliverability, and you can add an AI-scored ICP column to filter weak matches before export.
Can I find similar companies in bulk at once?
Yes. Paste a list of seed companies, upload a CSV, or pipe rows from an existing Clay table. Lusha's Find Company Lookalikes action accepts 5 to 100 seed domains in a single run and generates net-new rows for each match. Every row returns company name and VP of Sales email ready to sync to HubSpot, Salesforce, or Pipedrive, or export as a CSV for your sequencer.
Is it legal to use lookalike company data for outreach?
In the US, CAN-SPAM allows unsolicited B2B email as long as you include a working opt-out link and honor removal requests. Under GDPR, B2B prospecting typically relies on legitimate interest as a lawful basis, but you must document a Legitimate Interest Assessment, disclose where you sourced the data, and action opt-out requests within 30 days. California's CCPA no longer exempts B2B contact data, so honor "Do Not Sell" requests there as well.
Regulations vary by jurisdiction and update frequently, so check the rules that apply in your prospect's location before sending outreach.




























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