Create LLMs.txt for Your Website
Your website. Structured perfectly for AI.
No coding required. Just provide your website, and we’ll build your LLMs.txt
file and deliver it to your inbox.
Get Your LLMS.txt
“It just works. Simple solution to stay ahead of the curve.”
“Brilliant! Great deliverable AND it moves the needle.”
Give your website superpowers with llms.txt
LLMs like ChatGPT, Perplexity, Google Gemini, and Bing Generative Search devour content that they can efficiently access, interpret, and utilize. Our application crawls your website and builds a properly compiled llms.txt
file.
#Example llms.txt
# https:/www.websitellm.com/llms.txt
# How to Make Your LLMS.txt Accessible to LLMS (OpenAI, Perplexity, etc)
# Some strategies for adding your `llms.txt` file to your website so that it gets indexed quickly (includes WordPress integration options). We are advocating for the option to provide the file directly to OpenAI or Perplexity or to request a crawl in the same way that you might do with Google Webmaster Tools.
## How to Add LLMS.txt to a WordPress Website
## Notify Crawlers and Bots
Include the file in `robots.txt` and add a directive in your `robots.txt` file to point to your `llms.txt`. For example:
...
How to create a llms.txt file for your website
Use the
llms.txt
convertor tool to create the file.
Create llms.txt file
As LLM-based generative AI search platforms (OpenAI, Perplexity, Google and Microsoft, etc) continue to shape how we access and generate information, more and more websites are creating content explicitly designed for machine consumption. Having a well-formatted and comprehensive llms.txt
file correctly located on your website prepares helps LLMs to easily read and understand your content content, optimizing and improving your AI share of voice and generative AI search score.
LLMs.txt is a transformative shift in content strategy. It’s still very early, but by proactively creating llms.txt files, businesses and creators can ensure their content is accessible to LLMs.
Frequently Asked Questions
What is the purpose of llms.txt?
llms.txt is a standardized file that helps AI language models (LLMs) better understand and access a website’s content structure, ensuring efficient parsing and utilization of the site’s information.
How does llms.txt differ from traditional content strategies?
While traditional web content is optimized for human readers, llms.txt focuses on structured formats like XML, JSON, or plain text to cater to LLMs, prioritizing data clarity and hierarchy over aesthetics.
What are the key features of llms.txt?
- Content Accessibility: Maps out key sections optimized for LLM consumption.
- Permissions and Governance: Specifies access rules and data usage permissions.
- Metadata Integration: Includes timestamps, versioning, and categories for relevance.
- Support for Dynamic Interactions: Offers clear parsing rules for site-specific formats.
Where should I place the llms.txt file?
The llms.txt file should be placed in the root directory of the site (e.g., example.com/.llms.txt
) for easy access by LLMs.
What does a sample llms.txt file look like?
# LLM Access Instructions
allow:
- /api/documentation
- /guides/advanced_topics
disallow:
- /private/internal_docs
metadata:
update: 2024-01-01
version: "2.0"
notes: "This content is available for LLM training and inference with attribution."
How can llms.txt benefit web publishers?
- Protect Intellectual Property: Restrict LLMs from accessing certain sections.
- Boost Visibility: Highlight valuable resources for better representation in AI outputs.
- Reduce Server Load: Optimize LLM crawling to focus on relevant sections.
What are the benefits for LLM providers?
- Efficient Parsing: Reduces brute-force crawling by providing curated access points.
- Higher-Quality Outputs: Ensures better alignment with user queries.
What are some real-world use cases for llms.txt?
- Developer Documentation: Startups publishing new software libraries can guide LLMs to APIs, SDKs, and usage examples, ensuring accurate code generation and recommendations.
- E-Commerce Platforms: Retailers can use ‘.llms.txt’ files to highlight product descriptions, specifications, and reviews while excluding irrelevant marketing content.
- Educational Content: Universities and e-learning platforms can direct LLMs to open-access courses or research papers, limiting access to proprietary data.
- Healthcare Websites: Medical organizations can ensure that only verified and accurate health information is accessible to LLMs, improving the reliability of generated advice.
- News and Media Outlets: Major news organizations can guide LLMs to breaking news, editorials, or curated topic pages, ensuring AI-generated summaries or reports reflect the original content and intent.
- Non-Profit Organizations: Advocacy groups and non-profits can highlight mission statements, calls to action, or donation pages, ensuring their messages reach audiences via AI platforms while excluding sensitive internal documents.
- Hospitality and Travel: Hotels, airlines, and travel agencies can direct LLMs to pages with pricing, availability, and package deals, helping potential customers discover accurate and up-to-date travel options.
- Real Estate Platforms: Property listing websites can highlight detailed property data such as price, location, amenities, and availability while ensuring outdated or irrelevant listings are excluded.
- Public Sector and Government Websites: Governments can provide LLMs with access to essential public information, such as voter guides, emergency resources, or policy documents, ensuring accurate and timely AI-generated insights.
- Tech Blogs and Review Sites: Technology-focused websites can guide LLMs to in-depth product reviews, comparison charts, and buyer guides, ensuring accurate product recommendations in AI-generated responses.
- Fitness and Wellness Platforms: Health and fitness websites can direct LLMs to workout guides, dietary advice, or wellness programs, helping users discover accurate and well-researched resources while preventing misinformation.
- Legal Services: Law firms and legal resources can highlight FAQs, legal templates, or areas of specialization, ensuring users receive relevant and precise legal guidance in AI-assisted searches.
- Automotive Websites: Car manufacturers and dealerships can emphasize model specifications, dealership locations, and financing options, improving AI-based car buying assistance.
- Entertainment Platforms: Streaming services and movie databases can guide LLMs to metadata-rich pages with ratings, reviews, and recommendations, enhancing the accuracy of AI-based movie or TV show suggestions.
- Food and Beverage Companies: Recipe websites and food brands can highlight recipes, nutritional information, or product pages, ensuring AI assistants recommend their content in relevant food-related queries.
How does llms.txt relate to Generative Engine Optimization (GEO)?
Just as SEO optimizes content for search engines, llms.txt supports GEO by aligning website content with LLM requirements, improving visibility and engagement in AI-generated outputs.
What are GEO strategies for LLMs?
- Keyword Placement: Semantic clustering for improved topic understanding.
- Metadata Enrichment: Enhance machine readability with structured data.
- Dense Documentation: Use machine-friendly formats for complex information.
What are the future implications of llms.txt?
- Mandatory Adoption: LLM providers may require llms.txt for ethical and efficient data use.
- Legal Clarity: Standardized permissions mitigate legal risks related to data use.
Where can I find directories listing llms.txt files?
Here are some directories with available llms.txt files: