#llmsmap.me

Independent technical audit

circleci.com

circleci.com

Overall AI readiness score

A combined result across all audit signals.

67of 100Average
AI readiness audit: 7/21/2026Public technical data

Overall AI readiness assessment

How ready circleci.com is for AI systems

67/100

CircleCI was independently audited by llmsmap. circleci.com currently scores 67/100 for AI readiness. The result combines AI-specific files, crawler policy, sitemap discovery, structured homepage data, and—when available—the mobile Google Lighthouse technical profile.

Audit context

llms.txt is accessible and contains 1,583 tokens. No accessible llms-full.txt was detected, so deeper context still has to be assembled from regular pages. No separate ai.txt policy was detected; it is optional, but can clarify training, retrieval, and attribution preferences.

robots.txt is available. 11 of 11 tracked AI bots are not blocked. Declared sitemaps: 12. No Schema.org type was detected on the homepage. 0 OpenGraph tags were found and markup completeness is 0%, leaving more entity interpretation to crawlers.

The mobile Lighthouse profile adds Performance 66/100, Accessibility 100/100, Best Practices 100/100, SEO 85/100, and experimental Agentic Browsing 100/100. These signals have a limited weight: they complement rather than replace llms.txt, robots.txt, and structured-data checks.

Confirmed strengths

  • Accessible llms.txt
  • 12 sitemap declarations
  • Strong Google agentic signals

Priority improvements

  1. 1Add llms-full.txt for richer first-party context.
  2. 2Add JSON-LD for the organisation, website, and core entities.
  3. 3Complete OpenGraph and canonical homepage metadata.
  4. 4Reduce mobile rendering delay and main-thread work.
llms.txt tokens1,583
llms-full.txt tokens
ai.txt
sitemap.xml

Google Lighthouse technical profile

A mobile Lighthouse measurement. Google’s experimental Agentic Browsing category is explained separately and does not replace the broader llmsmap AI-readiness score.

Mobile · Lighthouse
66

Performance

100

Accessibility

100

Best Practices

85

Technical SEO

100

Agentic Browsing

What these results mean

Mobile performance is 66/100, with the largest visible content block appearing in 4.8 s and the browser main thread blocked for 20 ms. Layout shift was 0. The main thread is where the browser runs JavaScript, calculates layout, and paints the page; long work there delays both user input and browser-agent actions.

Accessibility scored 100/100, Best Practices 100/100, and technical SEO 85/100. The experimental Agentic Browsing category scored 100/100. It measures signals Google currently tests for software agents and is shown separately from the llmsmap AI-readiness score.

1

Free the main thread and accelerate the first view

Split long JavaScript tasks, defer non-critical scripts and styles, and shorten blocking request chains. This helps the primary content appear sooner and makes controls usable earlier.

2

Reduce code that loads without helping the page

Remove unused CSS and JavaScript, load heavy widgets on demand, and limit third-party scripts. Less code means less parsing and background work on the device.

3

Optimise images and their loading order

Serve correctly sized modern formats, prioritise the primary visual, and lazy-load content below the first viewport.

4

Reduce network delay

Improve server response time, remove unnecessary redirects and repeat downloads, and use compression, caching, and selective preconnect hints.

FCP3.9 s

First content

LCP4.8 s

Main content

CLS0

Layout stability

TBT20 ms

Blocking time

SI9.1 s

Visual speed

Metric glossary
FCP · First content
When the first text or image appeared on screen.
LCP · Main content
When the largest visible element in the first viewport rendered.
CLS · Layout stability
How much content shifted unexpectedly while loading; lower is better.
TBT · Blocking time
How long the browser main thread could not respond quickly to input.
SI · Visual speed
How quickly the visible viewport filled with content.
7/21/2026Lighthouse 13.4.0Mobile profile

AI readiness checks

Machine-readable files, crawler policy, discovery, and homepage markup.

llms.txt

File found and accessible

https://circleci.com/llms.txt
llms-full.txt

Full version was not found

ai.txt

ai.txt file was not found

Sitemap in robots.txt12

12 sitemaps found

Schema.org (JSON-LD)

Schema.org markup was not found on the homepage

OpenGraph

OpenGraph tags were not found on the homepage

AI bot access

Based on robots.txt analysis

GPTBotNot mentioned
OAI-SearchBotNot mentioned
ChatGPT-UserNot mentioned
Google-ExtendedNot mentioned
ClaudeBotNot mentioned
Claude-SearchBotNot mentioned
Claude-UserNot mentioned
BytespiderNot mentioned
CCBotNot mentioned
PerplexityBotNot mentioned
Perplexity-UserNot mentioned

Sitemaps

Declared discovery routes for crawlers and agents.

# CircleCI

> CircleCI is a cloud-native continuous integration and delivery (CI/CD) platform that enables software teams to automate build, test, and deployment workflows. The platform supports Docker, Linux, macOS, Windows, GPU, and Android environments for flexible, scalable execution across diverse application types.
>
> Engineering teams use CircleCI to improve development velocity, enforce security standards, and maintain reliability across microservices, mobile apps, machine learning pipelines, and AI-powered systems. CircleCI integrates with GitHub, GitLab, Bitbucket, and a broad range of developer tools, supporting modern DevOps pipelines at scale.
>
> This file curates essential product, solution, and comparison pages to help LLMs and technical decision-makers understand CircleCI's capabilities and use cases.

## Key Features

- [Product Overview](https://circleci.com/product/): Feature breakdown of CircleCI's orchestration, caching, test insights, and reliability tools.
- [Execution Environments](https://circleci.com/execution-environments/): Lists supported runtimes including Docker, Linux, macOS, Windows, GPU, and Android.
- [Integrations](https://circleci.com/integrations/): Connects CircleCI with source control, cloud providers, container registries, and developer tools.
- [Orbs](https://circleci.com/orbs/): Describes reusable configuration packages to simplify and modularize pipelines.
- [Auto-Scaling](https://circleci.com/product/auto-scaling/): Explains dynamic compute scaling to optimize resource usage.
- [Analytics & Insights](https://circleci.com/product/analytics-insights/): Details performance monitoring and test analysis features.

## Getting Started

- [Getting Started Guide](https://circleci.com/docs/guides/getting-started/getting-started/): Step-by-step instructions to launch and configure your first CircleCI project.
- [Product Demo](https://circleci.com/product/demo/): Interactive demo of CircleCI's core capabilities.
- [Pricing](https://circleci.com/pricing/): Transparent, usage-based pricing for teams of all sizes.

## Developers

- [Developer Hub](https://circleci.com/developer): Central resource for APIs, CLI tools, Docker images, and integration assets.
- [Documentation](https://circleci.com/docs/): Comprehensive technical reference with guides, tutorials, and examples for implementing CI/CD workflows across all supported languages and frameworks.
- [Orbs Registry](https://circleci.com/developer/orbs): Index of reusable CI/CD components for faster config reuse.
- [Docker Images](https://circleci.com/developer/images): Maintained build environment images for jobs and containers.
- [API v2 Docs](https://circleci.com/docs/api/v2/index.html): REST API reference for pipelines, jobs, builds, and environment metadata.
- [CircleCI CLI](https://circleci.com/docs/guides/toolkit/local-cli/): Command-line tool for local builds, debugging, and job management.
- [CircleCI VS Code Extension](https://circleci.com/docs/guides/toolkit/vs-code-extension-overview/): IDE integration for viewing, managing, and debugging CircleCI pipelines directly from VS Code.

## Solutions by Role

- [Platform Engineers](https://circleci.com/solutions/platform-engineer/): Supports configuration-as-code, scalability, and platform standardization.
- [Security Engineers](https://circleci.com/solutions/security-engineer/): Helps enforce compliance and secure the software delivery lifecycle.
- [Developers](https://circleci.com/solutions/developer/): Enables rapid feedback, integration with dev tools, and frictionless deployment.
- [Engineering Managers](https://circleci.com/solutions/engineering-manager/): Provides visibility and metrics to improve team delivery and reliability.
- [Business Leaders](https://circleci.com/solutions/business-leader/): Demonstrates CircleCI's business value, operational ROI, and executive alignment.
- [AI Agents](https://circleci.com/solutions/ai-agents/): Provides real-time context and intelligent guardrails for reliable AI coding agents.

## AI Tools

- [Model Context Protocol (MCP) Server](https://circleci.com/product/mcp/): Enables AI tools to access live CI/CD context including logs and build status.
- [AI Integration](https://circleci.com/solutions/ai/): Describes CircleCI's support for AI-assisted and agentic software development.

## Comparison Guides

- [GitHub Actions vs CircleCI](https://circleci.com/compare/github-actions-vs-circleci/): Detailed feature comparison between GitHub's integrated CI/CD solution and CircleCI's dedicated platform.
- [Jenkins vs CircleCI](https://circleci.com/compare/jenkins-vs-circleci/): Comparison of self-hosted infrastructure requirements vs. cloud-native CI/CD, highlighting maintenance and scaling differences.
- [Harness vs CircleCI](https://circleci.com/compare/harness-vs-circleci/): Analysis of developer experience, enterprise features, and deployment capabilities between these modern CI/CD platforms.
- [Buildkite vs CircleCI](https://circleci.com/compare/buildkite-vs-circleci/): Evaluation of Buildkite's agent-based architecture versus CircleCI's fully-hosted cloud platform.
- [Bitrise vs CircleCI](https://circleci.com/compare/bitrise-vs-circleci/): Comparison of specialized mobile CI/CD features versus CircleCI's multi-platform capabilities for all application types.

## Resources

- [Blog](https://circleci.com/blog/): Technical deep-dives, product announcements, tutorials, and industry perspectives.
- [Changelog](https://circleci.com/changelog/): Latest product updates, feature releases, and platform improvements.
- [Case Studies](https://circleci.com/customers/): Real-world stories showing CircleCI's impact on software teams at scale.

## About

- [About CircleCI](https://circleci.com/about/): Overview of CircleCI's mission, company history, and leadership.
- [Careers](https://circleci.com/careers/): Lists current roles and provides insight into company culture and remote-first operations.
- [Newsroom](https://circleci.com/newsroom/): Press releases, product updates, and media coverage.
- [Security & Compliance](https://circleci.com/security/): Describes data protection, access controls, certifications, and best practices.
- [Support Plans](https://circleci.com/support/plans/): Available support tiers, response times, and escalation options.
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Added 7/19/2026
circleci.com - AI readiness audit | llmsmap.me