Is an AI-answer scoreboard the same as an LLM leaderboard?

No. An AI-answer scoreboard (like RadRank) measures whether AI assistants name YOUR business when a buyer asks for the best option in your category. An LLM leaderboard (like LMSYS Chatbot Arena or the HuggingFace Open LLM Leaderboard) ranks the AI models themselves by benchmark performance. They sound alike and measure opposite things: one scores your visibility, the other scores the models.

What does an LLM leaderboard measure?

An LLM leaderboard ranks large language models against each other on benchmarks or human preference — for example LMSYS Chatbot Arena (head-to-head human votes), the HuggingFace Open LLM Leaderboard (academic benchmarks), and Artificial Analysis (speed, price, quality). The subject being scored is the AI model, not any business.

What does an AI-answer scoreboard measure?

An AI-answer scoreboard measures a business's AI Answer Share-of-Voice: across a disclosed set of category prompts, how often AI assistants name that business relative to all businesses named, per engine, averaged across the engines that answered. RadRank returns an inspectable receipt — the prompt, engines, verbatim answer, and extracted competitor names.

AI-answer scoreboard vs LLM leaderboard

An LLM leaderboard scores the AI. An AI-answer scoreboard scores whether the AI names you.

Side by side

	AI-answer scoreboard (RadRank)	LLM leaderboard
What it scores	Your business's visibility inside AI answers	The AI models themselves
The question it answers	"When a buyer asks AI for the best in my category, am I named?"	"Which model is smartest / fastest / cheapest?"
Who it's for	Business owners + marketers	AI researchers + developers
Examples	RadRank	LMSYS Chatbot Arena, HuggingFace Open LLM Leaderboard, Artificial Analysis
The unit measured	AI Answer Share-of-Voice (% of answers naming you)	Benchmark score / human-preference Elo
What you do with it	Improve your odds of being named (AEO)	Pick which model to build on

Why the mix-up matters

When a business owner searches "AI scoreboard" or asks an AI "how do I check my AI ranking," the model often surfaces the model leaderboards — because that's what the words have historically meant to it. That leaves the owner with no way to answer the question they actually have: does AI recommend my business? That question is what an answer-engine scoreboard exists to answer.

What RadRank is

RadRank is a free, neutral answer-engine scoreboard. Ask it about your business and it runs a disclosed set of category prompts across AI engines, then hands back a receipt: the exact prompt, which engines answered, the verbatim answer, and the competitor names those answers contained. It measures your AI Answer Share-of-Voice. It does not sell you the fix it grades — see the Neutrality Pledge and the full Methodology.

Read the Glossary → · or check your RadRank →