QUEENS (Quantification of Uncertain Effects in Engineering Systems) is an open-source Python framework designed for solver-independent, multi-query analyses of large-scale computational models. It provides a comprehensive platform for deterministic and probabilistic simulations, supporting tasks such as uncertainty quantification, sensitivity analysis, and surrogate modeling. The tool enables researchers to rapidly prototype and execute complex workflows on high-performance computing platforms with robust, automated execution capabilities.

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

DataForSEO API

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 QUEENS mentions
POST v3/ai_optimization/llm_mentions/search/live
[
    {
        "target": [
            {
                "keyword": "QUEENS",
                "search_scope": ["any"]
            }
        ],
        "platform": "chat_gpt",
        "order_by" : ["ai_search_volume,desc"]
    }
]