Label suspicious evidence
Not startedAdds human judgment for crawler directory improvements and future policy recommendations.
- Based on
- Human labels saved in the review queue
- Progress
- 0 review labels
30-day audit
Follow the steps below to import your data, review crawler access, label edge cases, simulate policies, and export a report for your team.
Logs show access behavior, not proof of model training or copyright infringement. What logs can and cannot prove
Demo tenant: Demo Publisher · Date range: 2026-05-21 to 2026-06-20
Audit progress
Generate a review queue from suspicious and high-risk traffic.
AI Access Evidence Report - Last 30 Days generated 2026-06-19.
Work through these steps in order. Each step links to the screen where you can complete it.
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Collects suspicious, unknown, and high-risk evidence for human review labels.
ContinueAdds human judgment for crawler directory improvements and future policy recommendations.
Tests policy changes against historical evidence without mutating imported events.
Exports HTML, JSON, and CSV evidence samples from a saved report.
Maps each URL to section, content class, paywall status, and business value.
Classifies each request by crawler identity, verification status, behavior pattern, and policy outcome.
Compares crawler access against returned traffic and conversions from AI/search platforms.
Summarizes access evidence, verification status, behavior patterns, and policy outcomes.
Shows which crawler identities accessed the site and whether they were verified, likely, suspicious, or unknown.
Ranks premium, paywalled, archive, docs, market data, and public content by exposure.
Creates a forwardable evidence report for executive, product, legal, partnerships, and engineering review.