AI visibility monitoring

Monitor how AI systems describe your company.

SemanticRisk tracks changes in extracted claims, interpretation, score, crawl health, and captured evidence so communications, GEO, web, and governance teams can distinguish meaningful movement from technical noise.

See

What AI believes

Review the claims and descriptions inferred from your public website evidence.

Detect

What changed

Identify claim extraction changes, stance movement, confidence changes, and score shifts.

Explain

Why it changed

Connect movement to wording, page structure, accessibility, crawl behavior, and capture quality.

Built for evidence, not vanity metrics

A score is the beginning of the review.

A change in score does not automatically mean a company changed its messaging. SemanticRisk compares normalized content, extracted claims, model output, and scan evidence before classifying movement.

  • Separate content change from extraction drift
  • Flag pipeline and crawl failures
  • Retain evidence for comparison over time
  • Review material changes before escalation
Why this matters: communications and governance teams need to know whether an AI-visible change came from the organization, the website capture, or the interpreting model.
Start monitoring

Choose a one-time review or recurring monitoring.

Send the domain, concern, and whether you need one company, competitors, or a larger portfolio.