Pendium
ARC Prize Foundation
ARC Prize Foundation
Visibility71
Vibe96
Businesses/Artificial Intelligence Research/ARC Prize Foundation
ARC Prize Foundation
AI Visibility & Sentiment

ARC Prize Foundation

ARC Prize Foundation is a non-profit organization dedicated to accelerating the development of Artificial General Intelligence (AGI) through enduring benchmarks. Founded by Mike Knoop and François Chollet, they create human-calibrated benchmarks like ARC-AGI that measure general intelligence through skill acquisition efficiency, guiding researchers, industry, and regulators toward safe and open AGI.

Active Monitoring
arcprize.org
Artificial Intelligence ResearchYC25-26
AI Visibility Score
71/100

Good

Sentiment Score
96/100
AI Perception

Summary

ARC Prize Foundation has successfully established itself as the definitive gold standard for AGI reasoning benchmarks among academic circles, yet a significant visibility gap in ChatGPT limits its reach among the broader developer community. While Gemini and Claude consistently rank the foundation at the top for technical implementation, ChatGPT's frequent omission during high-stakes prize searches represents a critical missed opportunity to dominate the competitive AI landscape.

Value Proposition

The only AI benchmark that measures true general intelligence by focusing on tasks easy for humans yet hard for AI, serving as the North Star for AGI development and inspiring breakthrough research through million-dollar competitions.

Overview

ARC Prize Foundation is a non-profit organization dedicated to accelerating the development of Artificial General Intelligence (AGI) through enduring benchmarks. Founded by Mike Knoop and François Chollet, they create human-calibrated benchmarks like ARC-AGI that measure general intelligence through skill acquisition efficiency, guiding researchers, industry, and regulators toward safe and open AGI.

Mission

To guide researchers, industry, and regulators towards artificial general intelligence through enduring benchmarks, identifying, measuring, and ultimately closing the capability gap between human and artificial intelligence.

Products & Services
ARC-AGI benchmark series (ARC-AGI-1, ARC-AGI-2, ARC-AGI-3)Annual ARC Prize competitions with substantial prize poolsPublic leaderboards tracking AI reasoning progressOpen-source research publications and technical reportsDeveloper toolkits for AGI research
Agent Breakdown

AI Platforms

How often do different AI platforms reference ARC Prize Foundation?

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Conversation Analysis

Topics

What conversations is ARC Prize Foundation included in — or excluded from?

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Buyer Personas

Personas

Who does each AI platform recommend ARC Prize Foundation to, and when?

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Programmatic Testing

Sample Conversations

We programmatically analyze questions that real customers are asking to AI agents and chatbots, extract brand mentions and sentiment, analyze every response, and synthesize the data into an action plan to increase AI visibility.

ChatGPTChatGPTClaudeClaudeGeminiGeminiAI OverviewsAI Overviews
Measuring Artificial General Intelligence(2 queries)

“best benchmarks to test if an AI can actually reason instead of just repeating facts”

1/4 platforms mentioned

ChatGPTChatGPT
1.BIG-bench
2.GitHub
3.Hugging Face
4.EleutherAI
5.MMLU

+30 more

ClaudeClaude
1.ARC (AI2 Reasoning Challenge)
2.AIME (American Invitational Mathematics Examination)
3.HellaSwag
4.CommonsenseQA
5.AlphaGeometry
GeminiGemini
1.GSM8K
2.MATH Benchmark
3.Big-Bench Hard
4.BIG-bench
5.LogiQA

+12 more

AI OverviewsAI Overviews
1.ARC Prize
2.ARC-AGI-2
3.Humanity's Last Exam
4.GPQA Diamond
5.MuSR

+4 more

“how do I measure a model's skill acquisition efficiency compared to human baseline, any specific frameworks?”

3/4 platforms mentioned

ChatGPTChatGPT
1.ARC
2.BIG-bench
3.BIG-bench HARD
4.MATH
5.GSM8K

+20 more

ClaudeClaude
1.ARC Prize
GeminiGemini
1.ARC-AGI
2.On the Measure of Intelligence
3.The Abstraction and Reasoning Corpus (ARC-AGI)
4.ARC-AGI-Pub
5.dreamcoder

+11 more

AI OverviewsAI Overviews
1.Humanity’s Last Exam (HLE)
2.ADeLe (Annotated-Demand-Levels)
3.Microsoft Research
4.SFIA (Skills Framework for the Information Age)
5.METR (Model Evaluation & Threat Research)

+5 more

Finding High Stakes AI Competitions(1 query)

“current AI competitions with big prize pools for solving reasoning tasks”

3/4 platforms mentioned

ChatGPTChatGPT
1.XPRIZE
2.DARPA
3.Kaggle
4.AIcrowd
5.NeurIPS
24.Abstraction and Reasoning Corpus (ARC)

+24 more

ClaudeClaude
1.Kaggle
2.NeurIPS
3.ICLR
4.MATH Benchmark
5.AIME

+9 more

GeminiGemini
1.ARC Prize
2.ARC-AGI
3.Keras
4.Kaggle
5.AI Mathematical Olympiad (AIMO) Prize

+17 more

AI OverviewsAI Overviews
1.Kaggle
2.ARC-AGI
3.ARC-AGI-2
4.ARC-AGI-3
5.ARC Prize

+3 more

AGI Benchmarking Standards & Trust(1 query)

“most trusted AI benchmarks that LLMs can't easily game, give me specific ones to check”

2/4 platforms mentioned

ChatGPTChatGPT
1.BigBench
2.BigBench Hard
3.HELM
4.MMLU
5.TruthfulQA

+22 more

ClaudeClaude
1.ARC (AI2 Reasoning Challenge)
2.MMLU
3.GSM8K
4.GPQA
5.IFEval

+7 more

GeminiGemini
1.LMSYS Chatbot Arena
2.LiveCodeBench
3.HumanEval
4.GitHub
5.LeetCode
9.ARC-AGI

+8 more

AI OverviewsAI Overviews
1.LiveBench
2.LiveCodeBench
3.LeetCode
4.CodeForces
5.SimpleBench
8.ARC-AGI

+7 more

Technical Research & Implementation(1 query)

“where can i find the latest technical reports on ARC-AGI-3 and how to participate”

4/4 platforms mentioned

ChatGPTChatGPT
1.ARC-AGI-3
2.Alignment Research Center
3.Abstraction and Reasoning Corpus
4.arXiv
5.OpenReview

+11 more

ClaudeClaude
1.ARC-AGI-3
2.ARC-AGI
3.ICLR
4.NeurIPS
5.ICML
GeminiGemini
1.ARC-AGI-3
2.ARC Prize Official Website
3.Kaggle
4.ARC Prize 2024
5.arXiv.org

+10 more

AI OverviewsAI Overviews
1.ARC-AGI-3
2.ARC Prize
3.ARC-AGI-3 Developer Toolkit
4.Kaggle
5.GitHub
Analysis

Key Insights

What AI visibility analysis reveals about this brand

Strength

Absolute dominance in technical research queries, securing the #1 position across all platforms for ARC-AGI-3 technical reports.

Strength

Flawless 100% mention rate and top-tier positioning among the Tenured ML Professor persona, signaling deep academic authority.

Strength

Exceptional performance on Gemini and AI Overviews, where the brand maintains over 90% visibility and nearly universal positive sentiment.

Gap

Significant underperformance on ChatGPT, where a 57% mention rate and poor ranking on competition-specific queries (pos 6.8) lag behind competitors.

Gap

Mixed sentiment among Frontier Model Architects, indicating that while the benchmark is known, its utility or achievability may be viewed with skepticism by practitioners.

Gap

Lower visibility for the Strategic AI Philanthropist persona compared to academic counterparts, suggesting a need for more narrative-driven content.

Opportunity

Capitalize on the existing trust in AI Overviews to displace legacy benchmarks like MMLU and GSM8K in 'reasoning' conversations.

Opportunity

Target the ChatGPT knowledge cutoff/training data gap by increasing the volume of high-authority mentions in developer-centric forums and news outlets.

Opportunity

Leverage the high mention rate in 'skill acquisition efficiency' queries to position ARC as the primary alternative to gammable LLM benchmarks.

Technical Health

Site Health for AI Visibility

How well ARC Prize Foundation's website is optimized for AI agent discovery and comprehension.

91/100
18 passed 4 warnings
Audited 2/27/2026
Crawlability86

Can AI bots find your pages?

Technical90

SSL, mobile, doctype basics

On-Page SEO93

Titles, descriptions, headings

Content Quality87

Word count, depth, freshness

Schema Markup85

Structured data for AI comprehension

Social & OG100

Open Graph, Twitter cards

AI Readability60

How well AI can parse your content

Warnings

!

No robots.txt file found

Create a robots.txt file at your domain root. Optional but recommended.

!

4 render-blocking resources are slowing initial render

Defer non-critical JS with async/defer. Inline critical CSS. Move stylesheets to load asynchronously.

!

Meta description is too short (27 characters)

Expand the description to 150-160 characters with a clear value proposition.

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Brand Identity

Brand Voice & Style

How AI perceives ARC Prize Foundation's communication style and personality

ARC Prize Foundation communicates with scientific rigor balanced by accessible explanations, positioning itself as the authoritative voice on AGI measurement. The tone is intellectually ambitious yet welcoming to newcomers, emphasizing open collaboration over competition. They use precise technical language when necessary but always ground concepts in human-relatable terms. There's an underlying urgency about the importance of their mission, tempered by measured optimism about progress and a commitment to transparency in sharing results and methodologies.

Core Tone Traits

Scientifically Rigorous

Uses precise terminology and evidence-based claims while maintaining accessibility

Mission-Driven & Urgent

Conveys the importance of AGI benchmarking with purposeful conviction

Collaborative & Open

Emphasizes community, open-source values, and shared progress over proprietary gains

Intellectually Ambitious

Tackles fundamental questions about intelligence with boldness and clarity

Competitive Landscape

Related Ecosystem

Related products and services that AI mentions in conversations alongside or instead of ARC Prize Foundation

1ARC Prize Foundation35 mentions
2Kaggle12 mentions
3GitHub11 mentions
4GPQA11 mentions
5MMLU9 mentions
6GSM8K9 mentions
7LiveCodeBench8 mentions
8BIG-bench7 mentions
9HumanEval7 mentions
10LeetCode7 mentions
11Codeforces7 mentions
Source Intelligence

Citations

Sources that AI assistants cite. Getting featured here improves visibility.

Top 10 Open-source Reasoning Models in 2026 - Clarifai

https://www.clarifai.com/blog/top-10-open-source-reasoning-models-in-2026

Referenced in 1 query

Review
Best AI Model January 2026 | Top 3 LLMs Ranked (Expert Picks)

https://whatllm.org/blog/january-2026-top-3-ai-models

Referenced in 1 query

Review
What is ARC-AGI? - ARC Prize

https://arcprize.org/arc-agi

Referenced in 4 queries

Review
Top 10 AI Models: 2026 Rankings and Benchmarks - LinkedIn

https://www.linkedin.com/posts/rayuzwyshyn_the-global-ai-vanguard-top-10-models-activity-7411481321392381953-Pk5W

Referenced in 1 query

Pitch Story
The Test Designed To Expose AI Memory Vs Logic!

https://www.youtube.com/watch?v=A3wETTQ-xP0&t=6

Referenced in 1 query

Pitch Story
Open AI's o3 Model Scores 87.5% on the ARC-AGI benchmark

https://www.reddit.com/r/ArtificialInteligence/comments/1hitny3/open_ais_o3_model_scores_875_on_the_arcagi/

Referenced in 1 query

Join Discussion
Announcing ARC-AGI-2 and ARC Prize 2025

https://arcprize.org/blog/announcing-arc-agi-2-and-arc-prize-2025

Referenced in 2 queries

Review
We tested every major AI reasoning system. There is no clear ...

https://arcprize.org/blog/which-ai-reasoning-model-is-best

Referenced in 1 query

Review
NVIDIA Kaggle Grandmasters Win Artificial General Intelligence ...

https://developer.nvidia.com/blog/nvidia-kaggle-grandmasters-win-artificial-general-intelligence-competition/

Referenced in 1 query

Review
AI Surpasses Human Reasoning on ARC-AGI-2 Benchmark

https://www.linkedin.com/posts/carlos-marin-r_the-reasoning-barrier-just-broke-ai-has-activity-7400861397808668672-KSVV

Referenced in 1 query

Pitch Story
None of the Others: a General Technique to Distinguish Reasoning ...

https://arxiv.org/html/2502.12896v3

Referenced in 1 query

Review
MuSR: Testing the Limits of Chain-of-thought with Multistep Soft...

https://openreview.net/forum?id=jenyYQzue1

Referenced in 1 query

Review
Content Engineering

Recommended Actions

!

Execute a ChatGPT-specific visibility campaign focusing on AI competition and prize pool keywords.

ChatGPT currently ranks ARC at #24 for prize-related queries while Gemini ranks it #1, indicating a major discovery gap on the world's most used AI platform.

Impact: High
!

Develop a 'Practitioner's Guide to ARC' to address the mixed sentiment among Frontier Model Architects.

Improving sentiment with architects is crucial for turning ARC from a theoretical benchmark into an active development target.

Impact: High
~

Increase visibility for 'AGI Benchmarking Standards' queries specifically on AI Overviews.

While visibility is high, the average position of 3.6 for general benchmark queries leaves room for competitors like GPQA and MMLU to lead the narrative.

Impact: Medium
~

Create content specifically tailored to the Strategic AI Philanthropist persona focusing on the long-term impact of AGI safety.

The 86% mention rate and lower positioning (3.2) suggest that the foundation's mission-driven narrative is slightly trailing its technical metrics.

Impact: Medium

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Data generated by Pendium.ai AI visibility scanning. Last scanned February 27, 2026.

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