01 / Define
What exactly are we counting?
A ten-metric dictionary with units, formulas, evidence requirements, and a structured download.
AI visibility metrics: impressions, citations, referrals, and outcomes ↗A focused collection / Measurement
Understand where your content appears, whether an answer visibly credits your source, and which visits reach the site. Start with the question you need to answer.
01 / Define
A ten-metric dictionary with units, formulas, evidence requirements, and a structured download.
AI visibility metrics: impressions, citations, referrals, and outcomes ↗02 / Observe
Read the generative AI report, preserve its scope, and review pages with a filled worksheet.
How to read Search Console’s generative AI report ↗03 / Check attribution
Record citations, visible domain labels, author mentions and evidence in a repeatable observation ledger.
How to measure AI citations and visible brand attribution ↗04 / Follow the visit
Inspect collected GA4 acquisition, including the boundary between AI Assistant and Google Organic Search.
How to find referral traffic in GA4, including AI ↗05 / Reconcile
Compare clicks, sessions, and page views with their collection rules and date boundaries intact.
Why Search Console, GA4, and Vercel show different traffic numbers ↗06 / Plan
Diagnose impressions with few clicks and test exposure scenarios in a local calculator.
Search impressions but no clicks: a diagnostic and planning calculator ↗07 / Evaluate
Keep access, observed citations, referrals, and qualified outcomes separate in the review.
Measure AI visibility without confusing it with traffic. ↗Take it into your workflow
Every guide has matching Markdown and JSON. The downloads preserve assumptions, sources, and missing values, so a person or an agent can inspect the same evidence.
Provider reports change. Each guide records its source checks and editorial dates. The examples are illustrative; measured audience results require their own saved observations.