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How Does NLP Find Companies and Determine Relevance Scores? | Clay

How Does NLP Find Companies and Determine Relevance Scores?

·Jan 29, 2026 07:13 PM·

How does the find companies through NLP work? How is relevance score determined and is there a way to continue to run the companies that are not done running even though I am at 50 companies?

3 comments

· Sorted by Oldest

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Find Companies with Natural Language lets you describe your ideal customer profile in plain English instead of using complex filters. [1] The AI interprets your description, converts it into database queries, and ranks companies based on fit from our 50M+ company database. [2]
The relevance/fit scoring happens automatically as the AI matches companies to your criteria, but the exact scoring methodology isn't detailed in our docs.
For your 50 company limit question - you can set a maximum number of results when creating the search. However, I don't see specific info about continuing incomplete runs beyond the limit. This might require adjusting your search parameters or creating a new search with different criteria.
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Is that what you were looking for?
Clay Support
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If you need any more help understanding how the find companies through NLP feature works or managing your search results, I’m here to assist. Would you like to provide more details about what you’re trying to achieve with your company search?