Definition

Reproducibility

A reproducible AI visibility measurement is one where the prompt, engine, market, locale, sample size, timestamp and collection method are all recorded, so an independent party could repeat it and land within the stated interval.

Logged-in collection breaks reproducibility, because the account's memory and personalisation are part of the input and cannot be shared.

Reproducibility is what allows a number to survive a challenge from a sceptical client. It is a reporting requirement, not an academic nicety.

Nostimates measures reproducibility across twelve AI answer surfaces. Request access →

All terms

AEO (Answer Engine Optimisation)GEO (Generative Engine Optimisation)AI Overviews AI Mode Citation share n-sampling Query fan-out Grounding Share of voice (AI)Extraction success rate Surface Answer engine Citation Brand mention Mention rate Confidence interval Statistical significance Citation volatility Non-determinism Identity-free collection Personalisation Locale Residential proxy Bot detection Collection cost Credit Evidence retention Audit trail Parser version Canary prompt Data freshness Cadence Prompt set Head term Long-tail query Competitive set llms.txt robots.txt AI crawler Training crawler Retrieval-augmented generation (RAG)Hallucination Answer box Featured snippet Zero-click search Entity Entity salience Knowledge graph Structured data JSON-LD schema.org FAQ schema Answer-first content Chunk Embedding Semantic search Prompt injection Market coverage Sentiment analysis Position tracking White-label data