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.

Businesses/Software Development Tools/Astral

AI Visibility & Sentiment

Astral

Astral is a software company dedicated to building high-performance, next-generation tooling for the Python ecosystem. Their flagship product, Ruff, is an extremely fast Python linter written in Rust, designed to significantly increase developer productivity.

Active Monitoring

astral.sh

Software Development Tools

AI Visibility Score

91/100

Excellent

Sentiment Score

93/100

Score by Priority

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 Astral today.

Astral has achieved dominant authority in the AI-driven ecosystem for high-performance Python tooling, consistently outperforming legacy incumbents like Flake8 and Pylint in speed-related search queries. By positioning its products as the definitive solution for modern CI/CD optimization, the brand has successfully captured top-tier visibility across all major AI search platforms.

Working in your favor

Secured top-ranking positions in competitive 'speed-oriented' queries across ChatGPT, Claude, and Gemini.

High visibility with Performance-Focused DevOps Engineers who prioritize efficiency in CI/CD workflows.

Consistent '#1' placement for modern linting alternatives to legacy tools like Flake8 and Pylint.

Gaps to close

Inconsistent visibility in ide-specific performance queries compared to core CI/CD tooling.

Vulnerability in long-form branding queries where AI models show moderate awareness compared to functional performance.

Underperformance in certain developer persona segments, specifically the Efficiency-Driven Software Architect, where sentiment remains mixed.

Opportunities

Capitalize on the 'Performance-Focused DevOps' momentum by creating content that directly bridges IDE-level performance with CI/CD gains.

Address the mixed sentiment in developer personas by surfacing more case studies regarding long-term reliability and architecture-level benefits.

Standardize brand messaging to ensure consistency during 'vibe-check' queries where AI models lack a unified narrative.

Highest-Impact Actions

Develop and deploy deep-dive technical documentation specifically targeting IDE and language server optimization.

Data shows a gap in ide-related visibility; strengthening this content will help convert the architects and developers currently leaning on competitors.

Launch a targeted 'Migration Path' campaign comparing Astral tools against legacy incumbents in IDE settings.

Current visibility is high for modern stack comparisons, but converting that awareness into IDE adoption requires clearer, actionable migration documentation.

Refine the brand narrative across documentation and PR to ensure AI models articulate a clear, positive mission during 'vibe check' queries.

Establishing a strong, singular brand identity will improve sentiment in broader discovery queries and help solidify long-term market leadership.

Value Proposition

Astral provides high-performance, Rust-based developer tools that offer massive speed improvements over traditional Python tooling, making the ecosystem more productive.

Overview

Mission

To make the Python ecosystem more productive by building high-performance developer tools.

Products & Services

Ruff (Python linter)ty (Python type checker and language server)pyx (Python-native package registry)

Current State

Visibility Landscape

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

	ChatGPT	Claude	Gemini	AI Overviews
Reputation1q Brand recognition & direct queries	70	70	97	82
Core3q Product/service category queries	94	97	94	97
Growth Areas2q Adjacent, aspirational & visionary	62	0	91	56

Competitive Landscape

Astral42 mentions

Flake833 mentions

mypy30 mentions

Black28 mentions

isort27 mentions

Pyright26 mentions

Pylint25 mentions

Pylance18 mentions

pyupgrade14 mentions

Pyrefly13 mentions

pydocstyle12 mentions

Analysis

Insights & Recommended Actions

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

Key Findings

Strength

Secured top-ranking positions in competitive 'speed-oriented' queries across ChatGPT, Claude, and Gemini.

Strength

High visibility with Performance-Focused DevOps Engineers who prioritize efficiency in CI/CD workflows.

Strength

Consistent '#1' placement for modern linting alternatives to legacy tools like Flake8 and Pylint.

Recommended Actions

Develop and deploy deep-dive technical documentation specifically targeting IDE and language server optimization.

Data shows a gap in ide-related visibility; strengthening this content will help convert the architects and developers currently leaning on competitors.

Launch a targeted 'Migration Path' campaign comparing Astral tools against legacy incumbents in IDE settings.

Current visibility is high for modern stack comparisons, but converting that awareness into IDE adoption requires clearer, actionable migration documentation.

Refine the brand narrative across documentation and PR to ensure AI models articulate a clear, positive mission during 'vibe check' queries.

Establishing a strong, singular brand identity will improve sentiment in broader discovery queries and help solidify long-term market leadership.

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

Optimizing Python CI/CD Pipelines(2 queries)

“how to speed up python ci pipelines that are taking too long”

0/4 platforms mentioned

Adjacent

ChatGPT

1.pytest-xdist

2.pytest

3.pytest-testmon

Claude

1.pytest

2.pytest-test-groups

3.Alpine

4.Launchable

5.uv

+1 more

Gemini

1.pip

2.pipenv

3.poetry

4.pytest-xdist

5.Docker

+2 more

AI Overviews

1.Claroty

2.Stack Overflow

3.Docker

4.DEV Community

5.Microtica

+4 more

“what is the fastest python linter to use in github actions for a large project”

4/4 platforms mentioned

Core

The Performance-Focused DevOps Engineer · DevOps Engineer

ChatGPT

1.Ruff

2.Flake8

3.Black

4.isort

5.Pylint

Claude

1.Ruff

2.Flake8

3.Black

4.isort

5.pydocstyle

+3 more

Gemini

1.Ruff

2.Flake8

3.Pylint

4.Pyflakes

5.CPython

+6 more

AI Overviews

1.Ruff

2.Flake8

3.Pylint

4.isort

5.Black

+3 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.

Distribution

pytest-xdist.readthedocs.io

Web1 ref

Cache

github.com

Code1 ref

Caching

pip.pypa.io

Web1 ref

Setup Python

github.com

Code1 ref

Caching Dependencies To Speed Up Workflows

docs.github.com

Code1 ref

testmon.org

Web1 ref

Test Automation Ci Cd

infoq.com

Web1 ref

Docker Cache Pip Downloads

pythonspeed.com

Web1 ref

Building And Testing Python

docs.github.com

Code1 ref

Optimizing your CI/CD GitHub Actions: A Comprehensive Guide | by George Bakas | Medium

medium.com

Blog1 ref

High-Performance Python for Pipelines

dagster.io

Web1 ref

4 Easy Ways to Speed Up Your CI/CD Pipeline | Claroty

claroty.com

Web1 ref

Building the Fastest Python CI | Christoph Pröschel

chrismati.cz

Web1 ref

🦊 GitLab CI Optimization: 15+ Tips for Faster Pipelines - DEV Community

dev.to

Web1 ref

Optimizing Python Code for Efficiency and Speed

nucamp.co

Web1 ref

Brand Identity

Brand Voice & Style

How AI perceives Astral's communication style and personality

Astral communicates with a tone that is highly technical, precise, and performance-oriented, reflecting its commitment to speed and efficiency. The brand voice is authoritative yet transparent, frequently engaging with the open-source community and emphasizing the 'built in the open' philosophy.

Core Tone Traits

Performance-focused

Emphasizes speed, efficiency, and measurable results.

Technical & Authoritative

Speaks directly to developers with precision and deep domain expertise.

Transparent

Open about development processes, benchmarks, and community contributions.

Modern & Minimalist

Clean, direct communication that avoids fluff.

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 March 9, 2026.