A fit score you can read as a verdict
Scores cluster high when the profile holds up, and stay low when it does not.
Describe the customer you think you have. We go and look, then show you who is really out there.
One sentence: the role, the kind of company, and the problem they are supposed to have.
The people who actually describe that problem come back, ranked by how closely they match what you wrote.
A deep, high-scoring list means the buyer is real. A thin one is an answer too, and far cheaper to learn now.
Scores cluster high when the profile holds up, and stay low when it does not.
Every match carries the post it came from, so the market's own language is there to borrow.
Adjust the description, run it again, and watch how the answer moves.
A validated profile comes with the list of people who proved it. Take both with you.
SeedOps tells you whether your ideal customer profile is real by searching for the people it describes and returning what it finds, scored by fit. A profile that produces a deep, high-scoring list is supported by evidence; one that produces almost nothing has been tested and found wanting.
SeedOps tests an ICP without a lead list by reading what people post in public and matching it against the profile you wrote. Nothing has to be uploaded or bought first, which is what makes the test cheap enough to run before committing a quarter to a market.
You can compare two versions of an ideal customer profile by describing each one and reading the two result sets against each other. Depth, fit scores, and the language people use are all comparable, so the stronger profile is visible rather than argued about.
Very few matches means few people are describing that problem in public, which is a finding rather than a failure. It usually points to a profile drawn too narrowly, or to a pain that buyers feel but do not talk about, and both are worth knowing before outbound starts.
Describe the buyer you believe in, and see who is really out there.