ngPDF

ngPDF is a technology developed by the PDF Association and Dual Lab that derives predictable HTML from Tagged PDF documents using a semantic derivation algorithm. It provides a suite of features for inspecting PDF structure trees, managing role maps, and customizing CSS to ensure accurate content representation. The platform supports full compatibility with PDF 1.7 and PDF 2.0 specifications, enabling seamless conversion and reuse of structured document data.

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