RELAR is a research initiative that develops an AI-powered framework for rapid earthquake loss assessment and recovery planning. By leveraging machine learning and image recognition, the project automates damage classification and cost estimation based on photographic data to support disaster-stricken communities. It aims to enhance safety, reduce recovery costs, and improve the efficiency of post-earthquake resource management through interdisciplinary collaboration.

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