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You will end up with: a company table of look-alikes, appended to or separate from the seed list, ready to score and to find contacts at. Before you start: similarity search needs a look-alike data provider connected under Settings → Connections & API → Data Providers, such as Ocean. Without one the companion falls back to semantic discovery and says so. Seeding from closed-won needs a CRM connected.

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Three ways to seed

Every one of those phrasings is the same ask, similarity, and routes to the same search.

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Steps

1

Load the seed

Or paste names:
2

Ask for look-alikes

The whole seed table’s domains are used at once. Add constraints when you want them:
3

Or seed with a single competitor

The companion resolves the company to its real website first, so a same-named business is not substituted.
4

Remove the ones you already know

Both checks are free. Overlap with another table and CRM matching use the columns and IDs already on the rows.
5

Score and fan out

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Look-alike people

The same idea works for people. Seed with a few of your best contacts and ask for more like them; the companion returns people with similar roles and backgrounds for you to review.

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What happens behind the scenes

Similarity search sends the seed domains to the provider, which returns companies close to them in industry, size, and description. It is discovery only: it never returns phones or emails, so it is always followed by a contact search and, if you want, enrichment. The resulting rows carry firmographics so you can trim by size or geography before spending on contacts.

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Prompts to try

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Next

Score your accounts

Rank the look-alikes before you spend on contacts.

Find contacts at target accounts

Multi-thread the ones that score well.