MAPLE SpatioTemporal Patterns of Life
maple.comMulti-INT Analytics for Pattern Learning & Exploitation (MAPLE) Spatiotemporal Patterns of Life (STPoL) processes observation data to construct models that describe the locations, timing, and frequency with which different observations occur in a specified area of interest. These spatiotemporal models capture patterns of life based on historical and contextual information in the data.
MAPLE then applies these learned models to ongoing or newly collected observations, comparing them against expected behavior to identify deviations. By highlighting such outliers, the solution supports analytic workflows that rely on detecting unusual or anomalous activity within an operational context.
LLM mention score The LLM mention score is the total number of mentions of this brand in different LLM chatbots, normalized to the scale from 0 to 100. You can get actual, non-normalized numbers via the LLM Mention API from DataForSEO.
Normalized 0–100 · last 8 weeks
Get LLM mention data of any company via DataForSEO API
Get access to the structured data on keyword, brand, and website mentions in LLMs, including metrics like AI search volume, impressions, and mentions count.
How to get LLM mention data →// Fetch MAPLE SpatioTemporal Patterns of Life mention score POST /v3/content_analysis/summary { "keyword": "MAPLE SpatioTemporal Patterns of Life", "type": "llm_mentions", "date_from": "2025-01-01" }
