Overall AI readiness score
A combined result across all audit signals.
Average
AI readiness audit: 9/29/2026Public technical data
Overall AI readiness assessment
How ready docs.embedchain.ai is for AI systems
Embedchain (docs.embedchain.ai) received an AI-readiness score of 74/100 in an automated technical audit. llms.txt was accessible, llms-full.txt was accessible, and ai.txt was not found. The robots.txt analysis found 0 explicitly allowed and 0 blocked AI crawlers, with 1 declared sitemap. Homepage markup completeness was 0%; no Schema.org types were detected and 0 OpenGraph tags were detected. Results reflect the public site response observed on 2026-09-29T01:49:46.448Z.
Audit context
llms.txt is accessible and contains 2,276 tokens. An expanded llms-full.txt is also available with 61,392 tokens, giving agents more direct context. 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: 1. 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 56/100, Accessibility 97/100, Best Practices 96/100, SEO 92/100, 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
- Expanded llms-full.txt
- 1 sitemap declaration
- Strong Google agentic signals
Priority improvements
- 1Add JSON-LD for the organisation, website, and core entities.
- 2Complete OpenGraph and canonical homepage metadata.
- 3Reduce mobile rendering delay and main-thread work.
llms.txt tokens2,276
llms-full.txt tokens61,392
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.
56
Performance
97
Accessibility
96
Best Practices
92
Technical SEO
100
Agentic Browsing
What these results mean
Mobile performance is 56/100, with the largest visible content block appearing in 11.0 s and the browser main thread blocked for 320 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 97/100, Best Practices 96/100, and technical SEO 92/100. 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
Optimise images and their loading order
Serve correctly sized modern formats, prioritise the primary visual, and lazy-load content below the first viewport.
3
Make controls unambiguous
Give buttons and links accessible names, associate labels with fields, and use ordered headings and semantic regions. The same structure helps screen readers and software agents understand actions.
FCP3.4 s
First content
LCP11.0 s
Main content
CLS0
Layout stability
TBT320 ms
Blocking time
SI6.4 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.
9/29/2026Lighthouse 13.5.0Mobile profile
AI readiness checks
Machine-readable files, crawler policy, discovery, and homepage markup.
ai.txt
ai.txt file was not found
Sitemap in robots.txt1
1 sitemap 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.
# Embedchain ## Docs - [⚡ Quickstart](https://docs.embedchain.ai/get-started/quickstart.md): 💡 Create an AI app on your own data in a minute - [📚 Introduction](https://docs.embedchain.ai/get-started/introduction.md) - [❓ FAQs](https://docs.embedchain.ai/get-started/faq.md): Collections of all the frequently asked questions - [💻 Full stack](https://docs.embedchain.ai/get-started/full-stack.md) - [🛠️ LangSmith](https://docs.embedchain.ai/integration/langsmith.md): Integrate with Langsmith to debug and monitor your LLM app - [⛓️ Chainlit](https://docs.embedchain.ai/integration/chainlit.md): Integrate with Chainlit to create LLM chat apps - [🚀 Streamlit](https://docs.embedchain.ai/integration/streamlit-mistral.md): Integrate with Streamlit to plug and play with any LLM - [🔭 OpenLIT](https://docs.embedchain.ai/integration/openlit.md): OpenTelemetry-native Observability and Evals for LLMs & GPUs - [🧊 Helicone](https://docs.embedchain.ai/integration/helicone.md): Implement Helicone, the open-source LLM observability platform, with Embedchain. Monitor, debug, and optimize your AI applications effortlessly. - [🧱 Introduction](https://docs.embedchain.ai/use-cases/introduction.md) - [🤖 Chatbots](https://docs.embedchain.ai/use-cases/chatbots.md) - [❓ Question Answering](https://docs.embedchain.ai/use-cases/question-answering.md) - [🔍 Semantic Search](https://docs.embedchain.ai/use-cases/semantic-search.md) - [🧩 Introduction](https://docs.embedchain.ai/components/introduction.md) - [Overview](https://docs.embedchain.ai/components/data-sources/overview.md) - [📰 PDF](https://docs.embedchain.ai/components/data-sources/pdf-file.md) - [📊 CSV](https://docs.embedchain.ai/components/data-sources/csv.md) - [📃 JSON](https://docs.embedchain.ai/components/data-sources/json.md) - [📝 Text](https://docs.embedchain.ai/components/data-sources/text.md) - [📁 Directory/Folder](https://docs.embedchain.ai/components/data-sources/directory.md) - [🌐 HTML Web page](https://docs.embedchain.ai/components/data-sources/web-page.md) - [📽️ Youtube Channel](https://docs.embedchain.ai/components/data-sources/youtube-channel.md) - [📺 Youtube Video](https://docs.embedchain.ai/components/data-sources/youtube-video.md) - [📚 Code Docs website](https://docs.embedchain.ai/components/data-sources/docs-site.md) - [📝 Mdx file](https://docs.embedchain.ai/components/data-sources/mdx.md) - [📄 Docx file](https://docs.embedchain.ai/components/data-sources/docx.md) - [📓 Notion](https://docs.embedchain.ai/components/data-sources/notion.md) - [🗺️ Sitemap](https://docs.embedchain.ai/components/data-sources/sitemap.md) - [🧾 XML file](https://docs.embedchain.ai/components/data-sources/xml.md) - [❓💬 Question and answer pair](https://docs.embedchain.ai/components/data-sources/qna.md) - [🙌 OpenAPI](https://docs.embedchain.ai/components/data-sources/openapi.md) - [📬 Gmail](https://docs.embedchain.ai/components/data-sources/gmail.md) - [📝 Github](https://docs.embedchain.ai/components/data-sources/github.md) - [🐘 Postgres](https://docs.embedchain.ai/components/data-sources/postgres.md) - [🐬 MySQL](https://docs.embedchain.ai/components/data-sources/mysql.md) - [🤖 Slack](https://docs.embedchain.ai/components/data-sources/slack.md) - [💬 Discord](https://docs.embedchain.ai/components/data-sources/discord.md) - [🗨️ Discourse](https://docs.embedchain.ai/components/data-sources/discourse.md) - [📝 Substack](https://docs.embedchain.ai/components/data-sources/substack.md) - [🐝 Beehiiv](https://docs.embedchain.ai/components/data-sources/beehiiv.md) - [💾 Dropbox](https://docs.embedchain.ai/components/data-sources/dropbox.md) - [🖼️ Image](https://docs.embedchain.ai/components/data-sources/image.md) - [🎤 Audio](https://docs.embedchain.ai/components/data-sources/audio.md) - [⚙️ Custom](https://docs.embedchain.ai/components/data-sources/custom.md) - [Data type handling](https://docs.embedchain.ai/components/data-sources/data-type-handling.md) - [ChromaDB](https://docs.embedchain.ai/components/vector-databases/chromadb.md) - [Elasticsearch](https://docs.embedchain.ai/components/vector-databases/elasticsearch.md) - [Pinecone](https://docs.embedchain.ai/components/vector-databases/pinecone.md) - [OpenSearch](https://docs.embedchain.ai/components/vector-databases/opensearch.md) - [Qdrant](https://docs.embedchain.ai/components/vector-databases/qdrant.md) - [Weaviate](https://docs.embedchain.ai/components/vector-databases/weaviate.md) - [Zilliz](https://docs.embedchain.ai/components/vector-databases/zilliz.md) - [🤖 Large language models (LLMs)](https://docs.embedchain.ai/components/llms.md) - [🧩 Embedding models](https://docs.embedchain.ai/components/embedding-models.md) - [🔬 Evaluation](https://docs.embedchain.ai/components/evaluation.md) - [Overview](https://docs.embedchain.ai/get-started/deployment.md): Deploy your RAG application to production - [Fly.io](https://docs.embedchain.ai/deployment/fly_io.md): Deploy your RAG application to fly.io platform - [Modal.com](https://docs.embedchain.ai/deployment/modal_com.md): Deploy your RAG application to modal.com platform - [Render.com](https://docs.embedchain.ai/deployment/render_com.md): Deploy your RAG application to render.com platform - [Railway.app](https://docs.embedchain.ai/deployment/railway.md): Deploy your RAG application to railway.app - [Streamlit.io](https://docs.embedchain.ai/deployment/streamlit_io.md): Deploy your RAG application to streamlit.io platform - [Gradio.app](https://docs.embedchain.ai/deployment/gradio_app.md): Deploy your RAG application to gradio.app platform - [Huggingface.co](https://docs.embedchain.ai/deployment/huggingface_spaces.md): Deploy your RAG application to huggingface.co platform - [🤝 Connect with Us](https://docs.embedchain.ai/community/connect-with-us.md) - [📋 Guidelines](https://docs.embedchain.ai/contribution/guidelines.md) - [👨💻 Development](https://docs.embedchain.ai/contribution/dev.md): Contribute to Embedchain framework development - [📝 Documentation](https://docs.embedchain.ai/contribution/docs.md): Contribute to Embedchain docs - [🐍 Python](https://docs.embedchain.ai/contribution/python.md) - [ 📜 Release Notes](https://docs.embedchain.ai/product/release-notes.md) - [Chat with PDF](https://docs.embedchain.ai/examples/chat-with-PDF.md) - [Notebooks & Replits](https://docs.embedchain.ai/examples/notebooks-and-replits.md) - [🌍 Getting Started](https://docs.embedchain.ai/examples/rest-api/getting-started.md) - [Create app](https://docs.embedchain.ai/examples/rest-api/create.md): Create a new app using App ID - [Get all apps](https://docs.embedchain.ai/examples/rest-api/get-all-apps.md): Get all applications - [Add data](https://docs.embedchain.ai/examples/rest-api/add-data.md): Add a data source to an app. - [Get data](https://docs.embedchain.ai/examples/rest-api/get-data.md): Get all data sources for an app - [Query app](https://docs.embedchain.ai/examples/rest-api/query.md): Query an app - [Deploy app](https://docs.embedchain.ai/examples/rest-api/deploy.md): Deploy an existing app. - [Delete app](https://docs.embedchain.ai/examples/rest-api/delete.md): Delete an existing app - [Check status](https://docs.embedchain.ai/examples/rest-api/check-status.md): Endpoint to check the status of the API - [OpenAI Assistant](https://docs.embedchain.ai/examples/openai-assistant.md) - [Open-Source AI Assistant](https://docs.embedchain.ai/examples/opensource-assistant.md) - [Nextjs assistant](https://docs.embedchain.ai/examples/nextjs-assistant.md) - [Slack AI](https://docs.embedchain.ai/examples/slack-AI.md) - [🤖 Discord Bot](https://docs.embedchain.ai/examples/discord_bot.md) - [💼 Slack Bot](https://docs.embedchain.ai/examples/slack_bot.md) - [📱 Telegram Bot](https://docs.embedchain.ai/examples/telegram_bot.md) - [💬 WhatsApp Bot](https://docs.embedchain.ai/examples/whatsapp_bot.md) - [🔮 Poe Bot](https://docs.embedchain.ai/examples/poe_bot.md) - [🎪 Community showcase](https://docs.embedchain.ai/examples/showcase.md) - [App](https://docs.embedchain.ai/api-reference/app/overview.md) - [📊 add](https://docs.embedchain.ai/api-reference/app/add.md) - [❓ query](https://docs.embedchain.ai/api-reference/app/query.md) - [💬 chat](https://docs.embedchain.ai/api-reference/app/chat.md) - [🔍 search](https://docs.embedchain.ai/api-reference/app/search.md) - [📄 get](https://docs.embedchain.ai/api-reference/app/get.md) - [📝 evaluate](https://docs.embedchain.ai/api-reference/app/evaluate.md) - [🚀 deploy](https://docs.embedchain.ai/api-reference/app/deploy.md) - [🔄 reset](https://docs.embedchain.ai/api-reference/app/reset.md) - [🗑 delete](https://docs.embedchain.ai/api-reference/app/delete.md) - [OpenAI Assistant](https://docs.embedchain.ai/api-reference/store/openai-assistant.md) - [AI Assistant](https://docs.embedchain.ai/api-reference/store/ai-assistants.md) - [Custom configurations](https://docs.embedchain.ai/api-reference/advanced/configuration.md) ## OpenAPI Specs - [rest-api](https://docs.embedchain.ai/rest-api.json) ## Optional - [Talk to founders](https://cal.com/taranjeetio/ec)
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Added 9/29/2026