What is personal AI discoverability?

Personal AI discoverability is how easily AI assistants and AI-powered recruiter tools can find, surface, and accurately describe you when someone asks a relevant professional question. It is Generative Engine Optimization applied to a person: the profiles, site, and mentions that describe your work become the material an assistant reads. Because you can ask the assistants the real questions and count whether you appear, it is measurable rather than a matter of faith.

Why it matters now

Recruiters and buyers increasingly start with an assistant. If the assistant does not name you for the roles or work you want, you are invisible at the exact moment someone is looking.

The fix is not tricks. It is a clearer, more consistent, better-corroborated public footprint, which also serves you when a human reads it.

How it is measured

Ask the assistants a fixed set of realistic questions in your field, repeatedly, and count four things: how often you are named (visibility), your share of the people named (share of voice), your typical position in the answer, and which sources are cited. Tracked over time, these become a trend you can move.

Frequently asked

Is personal AI discoverability just vanity?

No. It maps to real outcomes: being found for jobs, deals, and inbound. The score is a means, and the endgame is being contacted because you were surfaced.

Does it require gaming the models?

No, and it should not. Honest discoverability improves real signal: accurate, consistent, corroborated public information. Surfd never fabricates credentials or hides text to trick a model.

See where you stand

Surfd measures how the assistants actually describe you, scores your discoverability, and drafts the fixes. Free to start.

Get your score Check what AI says about you