3DBenchy

3DBenchy is a standardized 3D printing calibration model used to test and benchmark the performance, accuracy, and settings of FDM 3D printers. Created by Daniel Norée and released into the public domain, it serves as an industry-recognized tool for makers and manufacturers to measure print quality against reference dimensions. The project provides downloadable STL files and resources to help users optimize their additive manufacturing workflows.

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 3DBenchy mentions
POST v3/ai_optimization/llm_mentions/search/live
[
    {
        "target": [
            {
                "keyword": "3DBenchy",
                "search_scope": ["any"]
            }
        ],
        "platform": "chat_gpt",
        "order_by" : ["ai_search_volume,desc"]
    }
]