scikit-uplift

scikit-uplift is an open-source Python library for uplift modeling, providing fast implementations of causal effect estimation models compatible with the scikit-learn API. It offers a suite of evaluation metrics, such as AUUC and Qini curves, along with visualization tools to help data scientists identify customers most likely to respond to specific treatments or marketing campaigns.

LLM mention score

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.

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How to get LLM mention data →

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