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Analytics

6 articles

Sampling vs. census in AI-answer monitoring

How to decide how many runs per prompt are enough — the statistics of collecting AI answers without paying for noise.

2026-09-23

Estimating your AI-answer monitoring bill before you spend a credit

A practical model for sizing prompt sets, engine mixes and cadence so you can predict monthly credit usage before your first run.

2026-09-22

AI answers resample — why one check is an anecdote

The same prompt can name you today and a competitor tomorrow. Answer variance is the core measurement problem in AI visibility — and the fix is statistical.

2026-09-21

An AI visibility report clients and executives actually read

The structure, metrics and chart set for a monthly AI-visibility report — built from monitor API data, readable by non-SEOs.

2026-09-20

GEO metrics vs SEO metrics: what maps and what doesn't

Position, CTR and impressions don't survive the move to AI answers. The metric translation table and what's genuinely new.

2026-09-20

Measure the traffic AI engines actually send you

AI referral traffic is real but noisy — partial attribution, dark social, no query data. How to measure it properly and connect it to answer monitoring.

2026-09-15