Definition

Data freshness

Data freshness is the age of the underlying samples behind a reported number, as distinct from the date the report was generated.

Cached or interpolated figures presented as current are a common failure in AI visibility tooling. A dashboard rendering today does not mean the data was collected today.

Every number should carry a collection timestamp, and cadence should be a customer decision rather than a vendor default.

Build your own analysis from collected AI answers and search results. Request API 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 Reproducibility Identity-free collection Personalisation Locale Residential proxy Bot detection Collection cost Credit Evidence retention Audit trail Parser version Canary prompt 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