How it works

SemanticRisk turns AI visibility movement into reviewable evidence.

The goal is not to create alarm around every score change. The goal is to identify what a team can inspect: wording, claims, page structure, captured content, and access behaviour.

1

Capture

Collect public website content and record access signals such as fetch status, blocks, response time, and usable text volume.

2

Interpret

Structured model runs extract claims and summarize what can be inferred from the captured public content.

3

Compare

Classify movement so teams can separate content change from extraction drift, stance drift, confidence movement, or pipeline issues.

The public and paid layers

Public exploration

  • Sector benchmark
  • Reviewed findings
  • Current scores and movement
  • Limited recent history as company pages launch

Paid monitoring

  • Retained history and alerts
  • Private/custom domains
  • Evidence and claim-level drill-downs
  • Exports, reporting, and API access