AI visibility score
5.4/ 10Fair

#101,090 of 2,704,519 in Technology

As of 2026-11-01 · Engagemii indexCheck another site →Live terminal →

AI Visibility Scorecard

Kilo Code

Kilo Code

Unclaimed

kilo.ai · Technology

Somewhat visible. AI bots can read Kilo Code, but it is missing signals that would get it named ahead of competitors.

AI engines read this profile 12 times

Meta AI · ChatGPT · Apple Intelligence · Claude

#101,090 of 2,704,519 in Technology for AI visibility

85

AI Naming Predictability

i

Named sometimes · 85/100

Technology average 28

Top 2% of Technology

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5

AEO Visibility

i

Borderline · 5.4/10

Technology average 4.4

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-

Network Authority

i

Not connected yet

Technology average 0.0

0 relationships · Technology average 4

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80

Muse Index Score

i

AI agent readiness

Transactable · 80/100

Technology average 17

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12

AI Adoption

i

Basic · 12/100

Technology average 2

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About Kilo Code

from our crawl and measurement

Kilo Code is a business whose own site puts it this way: "Kilo Code is an open-source AI coding agent for VS Code, JetBrains, CLI, cloud agents, code reviews, and team workflows." To AI engines like ChatGPT and Perplexity it is partially visible, scoring 5.4 out of 10, readable in places and missing in others.

Our crawl found structured data on the page (Organization, WebSite, SoftwareApplication), an llms.txt file for AI models and a sitemap.

AI crawlers have visited 12 times in our tracking, including GPTBot (ChatGPT), Meta AI and Applebot (Siri).

Company ·
Kilo Code
Website ·
kilo.ai
Industry ·
Technology
Location ·
San Francisco, California
Site status ·
Live (The website showed an active business site when last checked (Oct 31, 2026).)
Last scored ·
Nov 1, 2026

The 6 signals AI reads

Strong · Good · Fair · Weak

Structured Data

Strong

Organization / LocalBusiness JSON-LD that AI can read.

Content Structure

Strong

Clear headings and answer-style content.

Entity Clarity

Good

How clearly your brand identity reads to AI.

E-E-A-T Signals

Experience, Expertise, Authority, Trust

Fair

Experience, Expertise, Authority, Trust markers.

Technical AEO

Strong

robots.txt, llms.txt, and AI-bot crawl access.

AI Discoverability

Strong

Sitemaps and entity links AI can follow.

Off-page authority

How the web signals your brand to AI

Backlinks

Strong

Inbound links from other sites.

Domain Authority

Fair

Established authority for your domain.

Reference Presence

Weak

Not in AI knowledge graphs yet.

News & Press

Fair

Press and news coverage.

Community

Good

Forum and community discussion.

Social Mentions

Weak

No social discussion found yet.

What this score means

Your AEO score measures whether AI search engines (ChatGPT, Claude, Perplexity, Gemini) can read your site and name it in answers. At 5.4/10, Kilo Code has a working base to build on - fixable, and the signals above are where to start.

Frequently Asked Questions

What is Kilo Code?

Kilo Code is an open source AI coding agent that runs inside VS Code, JetBrains IDEs, and your terminal. It writes, debugs, refactors, and reviews code, automates multi-step tasks across your repo, and gives you direct access to 500+ AI models — including Claude, GPT, Gemini, DeepSeek, and local models via Ollama or LM Studio. Unlike closed alternatives, every prompt is visible, the source is Apache-2.0 licensed, and you can bring your own API keys at provider rates with no markup.

Is Kilo Code free?

Yes. The VS Code extension, JetBrains plugin, and CLI are free to install and open source under the Apache-2.0 license. You can use Kilo with free models, bring your own API keys at zero markup, or top up pay-as-you-go credits that work across every surface — IDE, CLI, Cloud Agents, and App Builder. There is no mandatory subscription and no fixed seat price for individual developers.

How do I install Kilo Code?

Install the Kilo extension from the VS Code Marketplace, the JetBrains Marketplace, or install the CLI with a single command. Sign in once with your Kilo account to sync settings and credits across every surface. You can also start from kilo.ai/get-started, which walks you through picking your editor and the first run.

What IDEs and platforms does Kilo support?

Kilo Code runs in VS Code and every VS Code-based editor (including Cursor forks and Windsurf), in all JetBrains IDEs (IntelliJ IDEA, PyCharm, WebStorm, GoLand, Rider, RubyMine, CLion, and more), and as a standalone CLI in any terminal. It also powers Cloud Agents and App Builder in the browser, and ships a native Slack integration for team workflows.

Which AI models does Kilo Code support?

Kilo gives you access to 500+ AI models through one unified interface: Anthropic Claude (Sonnet, Opus, Haiku), OpenAI GPT-4o and GPT-5, Google Gemini, DeepSeek, Mistral, xAI Grok, Qwen, Llama, and more via Kilo Gateway. You can also bring your own API keys for any provider, or run fully local models through Ollama or LM Studio when you need to keep code on your machine.

How does pricing work and can I bring my own API key?

Kilo Code charges zero markup on AI token usage. You can bring your own API keys for OpenAI, Anthropic, Google, Groq, and any OpenAI-compatible provider, and pay those providers directly at list prices. If you prefer a single bill, top up the Kilo gateway balance pay-as-you-go and pay the same provider rate. Kilo Pass subscribers get bonus credits on top of what they pay.

How does Kilo handle code privacy and data?

Kilo doesn't collect telemetry by default and never trains on your code. Prompts and completions are passed directly to the model provider you pick, never stored for training. You can run 100% local models through Ollama or LM Studio to keep code on your machine, and teams get enterprise controls including SSO, audit logs, SOC 2 Type II certification, and data-residency controls.

What agent modes does Kilo Code have?

Kilo ships with five specialized modes: Code (writes and edits production code), Architect (plans features and designs systems before touching code), Debug (traces errors and proposes fixes), Ask (answers questions about your codebase), and Orchestrator (coordinates multi-step tasks across other modes). You can also define custom modes with your own system prompts, tool permissions, and model choice.

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Picked for Kilo Code: How-To

How to Get Your Company Named by ChatGPT, Gemini, and Claude

When a buyer asks ChatGPT which company to use, two different things can happen. ChatGPT can name a company in its answer. Or it can link to a web page as a source. Most advice about AI visibility is about the second one. Our data says the first one is what matters.

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Source & Attribution

Scored by Engagemii on November 1, 2026. Methodology: engagemii.com/aeo/methodology

Source URL: https://engagemii.com/aeo/brands/kilo-ai

Cite this score: Engagemii (2026). "AEO Score for Kilo Code." Retrieved from https://engagemii.com/aeo/brands/kilo-ai

Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.

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