Inventory-quality visibility
See whether traffic segments that look like automation are correlated with weaker pricing or lower-value impressions.
- Actor-type breakout
- Confidence-aware measurement
- Fits existing reporting workflows
Use VAI to classify traffic and review performance by actor type.
Some AI traffic loads pages and triggers ads, but it does not perform like a real human audience. (duh!)
Validated Actor Inventory (VAI) is a measurement-first product that helps your team identify whether likely automation is showing up in ad-calling traffic and whether it is associated with weaker monetization outcomes.
Step 1 — Tag traffic Add a lightweight script and generate actor-type signals such as likely human, likely AI agent, or other automation.
Step 2 — Review segmented results Send those signals into your ad server or analytics workflow and compare CPM, fill, and revenue by traffic segment.
Step 3 — Decide what to do next Only after reviewing the data do you decide whether routing, suppression, or deeper integration is warranted.
The first step is diagnostic. No demand-side participation is required, and you can review the signal before changing any routing logic.
Deploy VAI via GTM or a page-level tag so actor-type signals can be generated with minimal implementation effort.
Send VAI dimensions into your ad server, analytics, or reporting workflow so your team can evaluate monetization by actor type.
Look for differences in CPM, fill, and revenue quality between likely human traffic and likely automation.
Use the diagnostic to decide whether to suppress, route, or simply monitor lower-confidence traffic segments.
Useful output first. Routing decisions later.
See whether traffic segments that look like automation are correlated with weaker pricing or lower-value impressions.
Use measured differences between segments to decide whether routing, suppression, or deeper integration is worth the effort.
Start with a lightweight pilot your ad ops team can evaluate without committing to a broader platform migration.
Not ready for a measurement pilot? Use these no- or low-integration tools to understand how AI systems are accessing your content.
Validate your current AI crawler policy and identify gaps or inconsistencies in robots.txt coverage.
Check robots.txtUpload a sample of server logs to see which AI crawlers and automation systems are reaching your content.
Upload LogsEnable broader real-time AI traffic classification and monitoring when your team is ready to move beyond point-in-time diagnostics.
Set Up AnalyticsVAI is the first step. paywalls.net also supports broader AI traffic analytics, access policy controls, and future infrastructure for licensed content workflows.
Use VAI to measure whether automation in ad-calling traffic is affecting inventory quality before you change how traffic is routed.
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Access publisher content through transparent policies and infrastructure as paywalls.net expands its licensing and marketplace capabilities.
Get AccessSee whether likely automation is associated with weaker monetization on your inventory, then decide whether routing changes are warranted.