Definition

Extraction success rate

Extraction success rate is the proportion of collection attempts against a surface that return a complete, correctly parsed answer. It is the single most important reliability metric for any scraped AI visibility dataset.

A failed extraction and a zero mention rate are different facts. A vendor that returns the first as the second is silently corrupting your history.

Canary prompts with known-good response shapes, run continuously, are how drift is detected before customer reports break.

Related terms

n-sampling

Nostimates measures extraction success rate 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)Surface Answer engine Citation Brand mention Mention rate Confidence interval Statistical significance Citation volatility Non-determinism Reproducibility 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