Free Discoverability Scan | Discoverability Co

Free scan / Google + AI

See what they see.

Enter your name or your company's name. We pull your live Google results, tag what helps and what hurts, and show you what an AI assistant would say about you. Free, private, about a minute.

We do not store your email unless you ask for the full report. Scans are private.

What the number means

What the Discoverability Score measures

The scan runs one search: your name, in quotes, on Google. It lists the top ten results, reads up to twenty, and tags each one Helps, Risk, or Neutral. Helps, when the page is yours or describes you accurately. Risk, when it is the kind of page that costs someone a job, a client, or a loan. Neutral, when it is neither, or when it belongs to someone else with your name. The optional city or state is there to tell you apart from strangers who share your name.

The score is one number out of 100 and it moves in both directions. Court and legal records, arrest and mugshot listings, government enforcement pages, data brokers publishing your address, complaint sites, and negative coverage pull it down, weighted by type, so a mugshot listing costs more than a broker page. A site of your own, real profiles, and a Wikipedia or Wikidata entry push it up. Any government, court, mugshot, or negative news result on your first page caps the score at 42 out of 100, whatever else is there.

The summary above the table says where you stand in plain English, and under the results you get the read an AI assistant would give about you from those same pages, plus which of them it would lean on. Every row tagged as a risk carries a line on what we do about that kind of page: removed where it can be removed, outranked where it cannot. Results come back in about a minute with no email needed, and the full findings list goes by email when you ask.

You can also just send us the name.

If you would rather not type it into a tool, tell us who you are and we will run the same read by hand and go through it with you, line by line. Confidential, always.

The case studies show what these reads turn into once the work starts.