Four steps from invisible to findable.

No black box anywhere in the loop. Every score traces to evidence you can read.

Connect one link

Your LinkedIn, a personal site, a portfolio, or a GitHub profile. Surfd reads only what is public and only with your consent, then discovers your other surfaces from there.

Watch the graph build

Every skill, project, role, and claim becomes a node with provenance: which surface said it, when, and with what confidence. This is your professional identity as machines assemble it.

Get a score you can interrogate

Seven pillars, each computed deterministically from the graph: crawlability, semantic match, evidence density, authority, recency, structure, and coverage. Weights tune to your target role.

Fix, re-run, watch it move

Recommendations are ranked by impact per effort, each tied to the pillar it moves. Make the change, re-run the analysis, and the number responds. That loop is the product.

The seven pillars

CrawlabilityCan AI retrieval bots read you at all? robots.txt posture, llms.txt, sitemaps, Person markup.

Semantic matchHow closely your footprint embeds against your target role, the way sourcing rankers actually compare candidates.

Evidence densitySpecific numbers and concrete outcomes versus vague prose. Statistics measurably earn citations.

AuthorityCorroboration across surfaces and inbound signal. Claims made once carry little weight.

RecencyActivity inside the last 90 days is strongly preferred. Stale signals decay everything else.

StructureHeadings, dated entries, structured markup. Machines read outlines with higher fidelity than paragraphs.

CoverageBreadth across the surfaces your target actually checks. One strong profile is one point of failure.

One label you will see everywhere: measured versus modeled. Real captured answers are measured. Simulations of ranking systems are modeled. Surfd never blurs the two, and it never fabricates signal.

Get your score