Qualify any list against your ICP
Rank a set of companies by how well they fit your ideal customer.
Why this is hard today.
A list of a thousand accounts is not a plan. Working it alphabetically means the best-fit account might be read on a Thursday, or never.
Scoring by hand means opening every site, and the criteria drift after the first fifty rows.
How Freelvy does it.
Upload the list and describe what a good account looks like. Every row comes back marked against those criteria, with the attribute that decided it, so a rejection is arguable rather than opaque.
The recipe.
The prompt
>Score this list against my best customers and keep the lookalikes.
What you fill in
- The list
- CSV, or a search you just ran
- What good looks like
- Your ICP, in a sentence
- Output
- Marked, with the reason attached
What comes back
| Company | Segment | Size | Location | Contact |
|---|---|---|---|---|
| Halbrook Industrial | Precision manufacturing | 640 | Toledo, OH | VP Operations, verified |
| Westline Components | Industrial supply | 310 | Fort Wayne, IN | COO, verified |
| Marek Tooling | Metal fabrication | 225 | Milwaukee, WI | VP Operations, verified |
| Ferro Systems | Automation | 870 | Columbus, OH | Director of Ops, verified |
Illustrative rows. Your table carries the columns you asked for, plus the evidence behind each match.
How it works
Paste or upload the companies to check.
Freelvy checks each one against the criteria you described.
Work the list from the strongest fit down.
What you get.
Your list, sorted into what matches and what does not, with the reason on each row.
Run this playbookFree 7-day trial, no credit card
Start with one prompt.
Describe the customer you want. Freelvy searches the live web, verifies every contact and writes the sequence, you approve the angle, then it sends on autopilot or waits for your go on each message.