CleanWhat do I share with Clean to define my targets?
Your site, decks, positioning documents and notes that say who you sell to and why they buy. Clean drafts an ICP from that context, and you refine it.
Answers
Query your own data to find the best-fit companies to target
Most founders know their ICP in theory but can't turn that knowledge into a ranked list without manual research. Clean learns what you sell from your docs, then returns ranked companies with the records behind each one.
Book a demoLast updated September 28, 2026
The short answer
Clean turns what you know about your customers into a ranked target list. It learns what you sell from your site, decks and docs, drafts an ICP you refine, then finds companies with a reason to buy in dated public records and ranks them against that ICP, with the records behind every rank.
01
Your company data already knows who the best buyers are
Every founder carries knowledge about their best customers in positioning docs, sales notes and product memos, but it rarely becomes a structured target list. The gap between knowing your ICP and finding who fits it is a data problem with a tool-shaped solution.
- Share your site, decks and positioning docs.
- Let the tool draft what a great fit looks like, then refine it.
- Get a target list built from what you know, applied to the whole market.
02
How Clean turns what you know into a ranked list
Clean reads the documents that describe your company and your customer and builds a working model of who you sell to and why they buy. It then watches dated public records for companies that match, and ranks them against your ICP with the records behind each one.
03
What a ranked list tells you
Returning names is easy; returning the reasoning behind each placement is where most tools stop. Clean ranks every company and shows the records that put it there, so you understand the fit before you act on it.
- A rank against your ICP on every company.
- The records behind the rank, each with its source.
- The people to contact and who can introduce you.
04
Why this beats database-first search
Database-first tools give you large record sets but leave scoring and interpretation to you; your filters are only as good as the keywords you think to use. Here your company knowledge defines the fit, and the tool returns the companies that clear the bar, ranked and explained. For a founder who knows the customer deeply but not the whole market, that saves weeks.
How four targeting approaches use your own company data
| Approach | What you feed it | What you get back |
|---|---|---|
| Manual CRM search | Your contacts and deal history | A filtered list with no scoring or fit context |
| Spreadsheet plus data append tool | An exported CSV of raw prospects | Added columns with no reasoning and no rank order |
| Generic AI SDR tool | Your website URL only | A mass-generated list with no depth on fit |
| Clean | Your site, decks and docs | Companies ranked against your ICP, with the records behind each one |
Common questions
Do I still have to filter or sort the companies Clean finds?
No. They arrive ranked against your ICP, with the records behind each rank, so the sorting is done before you see the list.
How is this different from searching a contact database?
A database search returns records that match the keywords you type; it has no model of your company. Clean learns what you sell, works out what a great account looks like, and does the matching and ranking for you.
How do I get access to Clean?
Book a demo. We'll get you started right after the call.
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