What does "AI visibility" mean for my business?

When someone asks ChatGPT, Claude, or Gemini "what is the best..." or "where can I find...", AI gives specific recommendations. AI visibility is a measure of how often — and how positively — these AI platforms mention your business. It's the new version of being on the first page of Google, except now there are no pages — just one answer.

Which AI platforms do you monitor?

Pendium monitors ChatGPT, Claude, Gemini, Grok, Perplexity, DeepSeek, and Google AI Overviews — seven major AI platforms that consumers use to research local services. We run real queries that your customers actually ask and analyze the responses for mentions of your business, competitors, and industry topics.

How does Pendium improve my visibility?

Three ways. First, we identify the exact queries and topics where you're invisible. Second, we generate AI-optimized content — articles, guides, social posts — designed to help AI agents understand your business and recommend your services to the right people. Third, we continuously monitor to track improvement and find new opportunities. Most clients see measurable improvement within 60 days.

How long until I see results?

You'll get your first visibility report within minutes of signing up. Actual visibility improvement varies, but our clients typically see a 47% average improvement within 60 days. Some see results faster — it depends on your current online presence and how competitive your local market is.

Do I need to be technical to use this?

Not at all. Enter your website URL and Pendium handles everything: scanning AI platforms, analyzing your visibility, generating content, and tracking improvement. The dashboard is designed for business owners, not engineers. If you can check your email, you can use Pendium.

What makes this different from SEO?

Traditional SEO optimizes for Google's search rankings — blue links on a results page. AI visibility is different: AI doesn't show links, it gives direct answers. Even if you rank #1 on Google, ChatGPT might recommend a competitor. Pendium optimizes for the new paradigm — making sure AI platforms know about, trust, and recommend your business.

Pricing

Get a demo

Polymath

Visibility2

Vibe58

Businesses/Artificial Intelligence/Polymath

AI Visibility & Sentiment

Polymath

Polymath builds frontier environments for training and evaluating AI agents on long-horizon, multi-tool tasks across any domain. They develop world generation models and systems to automate and align environment creation, enabling reinforcement learning scaling for AI agent development.

Active Monitoring

polymathlabs.ai

Artificial Intelligence YC25-26

AI Visibility Score

2/100

Invisible

Sentiment Score

58/100

Score by Reach

How often this business is recommended to users across different types of conversations — from direct product queries to broader open-ended conversations where AI could recommend this company's products and services

core

adjacent

AI Perception

Key Takeaways

How AI platforms collectively perceive and describe Polymath today.

Polymath is currently a ghost in the agent infrastructure conversation, appearing in only 3% of relevant AI assistant responses while competitors like E2B and SWE-Bench dominate the narrative. While a singular high-ranking mention in Claude suggests potential among research-heavy personas, the brand's total absence from ChatGPT and AI Overviews represents a critical failure to capture the primary discovery channels for AI developers.

Value Proposition

Polymath provides production-grade, sandboxed environments that simulate real-world software engineering workflows, enabling teams to train and benchmark AI agents on long-horizon, multi-tool tasks that go beyond simple code generation.

Overview

Mission

To automate and align environment creation to enable RL scaling for AI agent development.

Products & Services

AI agent training environmentsHorizon-SWE benchmark for software engineering agentsWorld generation models for environment creationMulti-tool task evaluation frameworksProduction-grade sandboxed testing systems

Current State

Visibility Landscape

A high-level view of how Polymath performs across AI platforms, broken down by strategic reach level — from core brand queries to growth opportunities.

	ChatGPT	Claude	Gemini	AI Overviews
Reputation Brand recognition & direct queries	0	0	7	0
Core Topics Product/service category queries	0	56	0	0
Growth Areas Adjacent, aspirational & visionary	—	—	—	—

ChatGPT

Claude

Gemini

AI Overviews

Reputation

Brand recognition & direct queries

Core Topics

Product/service category queries

Growth Areas

Adjacent, aspirational & visionary

—

Competitive Landscape

Docker

19 mentions

E2B

12 mentions

SWE-Bench

12 mentions

LangChain

11 mentions

Kubernetes

10 mentions

Weights & Biases

10 mentions

Loading visibility matrix...

Analysis

Insights & Recommended Actions

What's working, what's not, and specific steps to improve Polymath's AI visibility.

Key Findings

Strength

Secured a high-authority position (avg pos 3.0) within Claude for leadership queries in the agent evaluation space.

Strength

Achieved a 22% mention rate with the 'Principal AI Research Scientist' persona, indicating the brand has some traction within academic or deep-tech circles.

Gap

Complete invisibility (0% mention rate) across ChatGPT and Google AI Overviews, the two most influential platforms for enterprise and developer discovery.

Recommended Actions

Execute a technical RAG (Retrieval-Augmented Generation) optimization campaign focusing on ChatGPT and AI Overviews.

With 0% visibility on the world's most used AI platforms, Polymath is effectively locked out of the market regardless of product quality.

Develop and index high-authority 'Benchmarking' and 'Sandbox Environment' documentation specifically targeting the E2B and SWE-Bench keywords.

Competitors are owning the core utility terms for this category; Polymath must appear as a direct alternative in 'help me pick' and 'suggest some' queries.

Pivot content strategy to address 'Enterprise AI Transformation Lead' personas through whitepapers on agentic reliability and trust.

Current visibility is restricted to research scientists; capturing the enterprise lead is essential for moving from an academic curiosity to a commercial standard.

Content Engineering

Content Ideas

Content designed to help AI agents learn about your category and recommend your brand.

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.

ChatGPT

Claude

Gemini

AI Overviews

Agent Evaluation And Sandboxed Testing(2 queries)

“help me pick a sandbox environment for testing an ai agent that needs to use git and terminal”

0/4 platforms mentioned

Core

ChatGPT

1.GitHub Codespaces

2.Gitpod

3.Docker

4.gVisor

5.Kata

+12 more

Claude

1.Docker

2.E2B

3.Replit

4.GitHub Codespaces

5.VS Code

Gemini

1.E2B

2.Bearly Code

3.GitHub Codespaces

4.Gitpod

5.Replit

+4 more

AI Overviews

1.E2B

2.Firecracker

3.Daytona

4.Northflank

5.AIO Sandbox

+3 more

“best environments for training agents on multi-step complex tasks”

1/3 platforms mentioned

Core

The Principal AI Research Scientist · Principal Scientist & Head of Agentic Research

Claude

1.SWE-bench

2.MATH-Shepherd

3.ARC (Abstraction and Reasoning Corpus)

4.Gymnasium

5.DeepMind Lab2D

+1 more

Gemini

1.Scale AI

2.Forge

3.SWE-bench

4.GitHub

5.Docker

19.Polymath

+13 more

AI Overviews

1.NVIDIA Developer

2.AndroidEnv

3.DeepMind

4.CyberBattleSim

5.MuJoCo

+10 more

Source Intelligence

Citations

The sources AI platforms cite when recommending this brand. Pendium reverse-engineers what's already proven to be catnip to AI agents, then engineers content that fills gaps and helps agents do their job — which means more citations for you.

E2B

e2b.dev

Web1 ref

Replit

replit.com

Web1 ref

Droid: The #1 Software Development Agent on Terminal-Bench

factory.ai

Web1 ref

SWE-EVO: Benchmarking Coding Agents in - arXiv

arxiv.org

Web1 ref

8 benchmarks shaping the next generation of AI agents

tessl.io

Web1 ref

Can Agents Resolve Real-World Performance Bugs? - arXiv

arxiv.org

Web1 ref

PerfBench: Can Agents Resolve Real-World Performance Bugs?

arxiv.org

Web1 ref

FeatureBench: Benchmarking Agentic Coding for Complex Feature ...

arxiv.org

Web1 ref

SWE-Bench Pro (Public Dataset) | SEAL by Scale AI

scale.com

Web1 ref

A Benchmark for Evaluating Software Development Agents

openreview.net

Web1 ref

Can Agents Resolve Real-World Performance Bugs? - arXiv

arxiv.org

Web1 ref

2026 Agentic Coding Trends Report - Anthropic

resources.anthropic.com

Web1 ref

Top AI Agent Evaluation Tools in 2026 | Goodeye Labs

goodeyelabs.com

Web1 ref

Top 5 AI Agent Evaluation Tools in 2026 - Medium

medium.com

Blog1 ref

Top AI Evaluation Tools for Enterprises in 2026

randalolson.com

Web1 ref

Competitive Landscape

Brands and products that AI platforms mention alongside or instead of Polymath.

Docker19 mentions

E2B12 mentions

SWE-Bench12 mentions

LangChain11 mentions

Kubernetes10 mentions

Weights & Biases10 mentions

Firecracker9 mentions

DeepMind9 mentions

GitHub Codespaces7 mentions

Daytona7 mentions

Polymath2 mentions

Brand Identity

Brand Voice & Style

How AI perceives Polymath's communication style and personality

Polymath communicates with technical precision and academic rigor while remaining accessible to the broader AI community. Their voice is confident and authoritative, backed by concrete benchmarks and measurable outcomes. They favor clear, structured explanations that break down complex systems into digestible components. The tone is forward-looking and ambitious, positioning themselves at the frontier of AI agent development without hyperbole.

Core Tone Traits

Technically Precise

Uses specific terminology and structured explanations to convey complex AI concepts accurately

Research-Driven

Grounds claims in benchmarks, data, and verifiable outcomes rather than marketing speak

Ambitious yet Grounded

Discusses frontier AI capabilities while acknowledging current limitations and challenges

Clear and Systematic

Breaks down complex systems into numbered components and logical frameworks

Backing

Investors

Y Combinator

Engineer content that makes AI agents recommend you

Pendium analyzes how AI platforms perceive your brand, reverse-engineers what they already cite, and continuously publishes content designed to fill gaps and earn more mentions — on autopilot, with you in the loop.

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