OVERT is an open standard developed by Glacis Technologies for generating independently verifiable runtime evidence in AI systems. It provides cryptographic proof that governance controls and security policies have been executed at the runtime boundary, ensuring tamper-evident attestation without exposing protected content. This solution addresses the gap between policy definition and operational verification for regulators and auditors.

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