Accented is a framework-agnostic frontend library designed for continuous accessibility testing and issue highlighting in web applications. Built on the axe-core engine, it provides instant visual feedback by displaying interactive callouts next to elements with accessibility violations during development. The tool integrates directly into project repositories without external setup, supporting both server-rendered and client-rendered content across various frameworks.

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 Accented mentions
POST v3/ai_optimization/llm_mentions/search_mentions/live
[
    {
        "target": [
            {
                "domain": "accented.dev",
                "search_filter": "include",
                "search_scope": ["sources"]
            }
        ],
        "order_by": ["ai_search_volume,desc"]
    }
]