Pillar Page
AI Visibility Monitoring & KPIs
Measure if AI searches cite and convert you.
Monitoring Playbook
What to measure
AI visibility needs its own KPIs: citations in answer engines, brand mentions, traffic quality, conversion rates. This playbook defines events, dashboards, and alerts.
Define KPIs
AI citations & mentions: how often do answer snippets reference your brand/domain?
Engagement: scroll depth, time to CTA, form drop-offs by locale/device.
Tech: error rates, render times, bot coverage per directory.
Dashboards & instrumentation
Separate AI traffic from classic organic (events, source/medium, bot logs).
Build vs buy: own warehouse + BI or specialized AI visibility tools.
Forecasting & alerts
Set baselines per cluster/locale, then early-warning indicators for visibility drops.
Alerts on bot drops, 4xx/5xx spikes, schema errors, CTR drops.
Reporting & ownership
Assign owners per cluster/locale. Weekly reviews with clear actions.
Document postmortems for outages (redirects, schema, tracking).
Examples
KPI board: AI citations, bot coverage, CTA CTR, form completion rate.
Event taxonomy: source (AI/organic/direct), locale, device, intent.
Next step