PGQL (Property Graph Query Language) is an open-source graph query language built on top of SQL, designed to enable graph pattern matching and analysis. It allows users to define fixed-length and variable-length graph patterns to discover insights within property graphs stored in relational databases. The standard supports recursive queries for reachability and path finding, bridging the gap between traditional SQL users and graph technology.

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 PGQL mentions
POST v3/ai_optimization/llm_mentions/search_mentions/live
[
    {
        "target": [
            {
                "domain": "pgql-lang.org",
                "search_filter": "include",
                "search_scope": ["sources"]
            }
        ],
        "order_by": ["ai_search_volume,desc"]
    }
]