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helicone.ai

AI readiness audit

helicone.ai
75of 100Excellent

AI readiness audit7/19/2026

AI editorial note

Helicone добавлен по независимой проверке международного каталога. На момент аудита AI-готовность домена helicone.ai оценена в 75/100: llms.txt доступен. Расширенный llms-full.txt не обнаружен; карточка сформирована по фактическим данным сайта и его публичным файлам.

621llms.txt tokens
llms-full.txt tokens
ai.txt
sitemap.xml

AI readiness checks

llms.txt

File found and accessible

https://www.helicone.ai/llms.txt
llms-full.txt

Full version was not found

ai.txt

ai.txt file was not found

robots.txt

File found

https://helicone.ai/robots.txt
Sitemap in robots.txt2

2 sitemaps found

Schema.org (JSON-LD)

Schema.org markup was not found on the homepage

OpenGraph60%

7 OG tags found

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

OpenGraph tags

Markup completeness: 60%

og:titleHelicone
og:descriptionAI Gateway & LLM Observability
og:urlhttps://www.helicone.ai
og:site_nameHelicone.ai
og:localeen_US
og:typewebsite
# Helicone

> Helicone is an open-source observability platform for LLM users. It helps companies monitor usage, latency, and costs for AI models like GPT-3, enabling optimization of AI applications and reduction of OpenAI bills. Helicone provides key insights into spend, performance, and usage patterns.

Helicone offers tools for developers to monitor, analyze, and optimize their use of large language models (LLMs). Key features include:
- Usage and cost tracking across multiple AI models
- Latency monitoring and performance optimization
- Request caching and model-swapping capabilities
- Custom property tracking for detailed analytics
- Integration with popular AI frameworks and platforms

Helicone is designed to be easily integrated into existing AI workflows, with support for self-hosted deployments and cloud-based solutions.

## Docs
- [Quick Start Guide](https://docs.helicone.ai/getting-started/quick-start): Introduction to setting up and using Helicone
- [Gateway Integration](https://docs.helicone.ai/getting-started/integration-method/gateway): Guide to integrating Helicone as a proxy for AI model requests
- [Custom Properties](https://docs.helicone.ai/features/advanced-usage/custom-properties): Advanced usage for tracking custom metrics and properties
- [Self-Hosted Deployment](https://docs.helicone.ai/getting-started/self-deploy): Instructions for deploying Helicone on your own infrastructure
- [Authentication](https://docs.helicone.ai/helicone-headers/helicone-auth): Details on authenticating requests with Helicone

## Examples
- [First AI App with Helicone](https://www.helicone.ai/blog/first-ai-app-with-helicone): Tutorial on building an AI app with Helicone integration
- [Product Hunt Launch Automation](https://www.helicone.ai/blog/product-hunt-automate): Case study on using Helicone for automating a product launch
- [Helicone vs Competitors](https://www.helicone.ai/blog/portkey-vs-helicone): Comparison of Helicone with other LLM observability tools

## Optional
- [GitHub Repository](https://github.com/Helicone/helicone): Source code and open-source contributions
- [Y Combinator Profile](https://www.ycombinator.com/companies/helicone): Information about Helicone's participation in Y Combinator
- [Company Blog](https://www.helicone.ai/blog): Latest updates, tutorials, and insights from the Helicone team
- [API Reference](https://docs.helicone.ai/getting-started/quick-start): Detailed API documentation for advanced integrations
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Added 7/19/2026
helicone.ai - AI readiness audit | llmsmap.me