llms.txt Guide: How to Create an LLMs.txt File for Your Website
Complete guide to creating and implementing llms.txt files. Manage how AI models use your content and improve AI discoverability.
llms.txt is the new robots.txt for AI models. It tells ChatGPT, Claude, Perplexity, and other LLMs how you want them to use your content. Implementing it correctly can increase AI citations while controlling how your content is used.
**Direct Answer: llms.txt is a text file placed at yoursite.com/llms.txt that tells AI models: what content they can use, how to attribute it, what content is off-limits, and how to link back to you. Create it in 30 minutes, place it in your root directory, and update it quarterly.**
What is llms.txt
llms.txt is a standardized format based on robots.txt. AI model providers check for it when crawling your site. It allows you to: grant permission for your content to be used in LLM training, specify attribution requirements, block certain content, request linkbacks in citations, define commercial use restrictions.
Unlike robots.txt which is a de facto standard, llms.txt is newer and still evolving. Major AI companies (OpenAI, Anthropic) support it. Many Indian companies still haven't implemented it, creating an opportunity.
Why llms.txt Matters
AI models are trained on web content. Without llms.txt, they use your content by default. With llms.txt, you control the relationship. You can require attribution when your content is cited. You can prohibit use by commercial competitors. You can define usage rights clearly. You can increase the likelihood your site gets cited as a source.
Creating Your llms.txt File
Create a plain text file. Name it exactly "llms.txt" (case matters). Include basic permissions that work for most Indian businesses.
User-agent rules apply to all AI models. Allow and Disallow work like robots.txt. Allow-training controls whether models can use content in training. Allow-inference controls whether models can reference content. Allow-citation controls whether models can cite you. Citation-format specifies how you want to be cited. Attribution-required tells models to always attribute you.
Setting Permissions Clearly
You have several options. Option 1 is Full Permission: Allow all content, require attribution. Good for content you want widely cited. Option 2 is Limited Permission: Allow blog content, disallow proprietary guides. Good for mixed content sites. Option 3 is Blog Only: Only allow blog directory. Good for SaaS companies. Option 4 is No Permission: Disallow everything. Rarely recommended.
For most Indian businesses, Option 1 or 2 works best. You want your content used and cited. Attribution is important but not worth completely blocking AI access.
Specifying Citation Requirements
Make it easy for AI models to cite you correctly. Tell models: include a clickable link when citing, include link in actual response, use markdown format, and link to specific page. This drives traffic back to you from AI responses.
Blocking Specific Content
Some content shouldn't be used by AI models. Proprietary documentation, customer-specific information, confidential guides. Be conservative here. Most content benefits from AI citations. Only block content that's truly confidential or would hurt your competitive position.
Commercial Use Restrictions
If you want to prevent competitors from using your content to train their own AI: Allow inference (yes), Allow training (no). This says: competitors can quote you in their AI responses, but can't use your content to train their own models. Important for competitive content.
Implementation Steps
Create the text file in a code editor (VS Code, Sublime, etc.). Copy the text exactly as formatted. Save as "llms.txt" (not "llms.txt.txt"). Upload to your web root directory (same level as index.html). Make sure the file is publicly accessible at yoursite.com/llms.txt. Test by visiting that URL in your browser.
For WordPress: Use FTP or file manager to upload to /public_html/. For Shopify: Use Theme settings. For static sites: Add to build output before deploying.
Testing Your llms.txt Implementation
Visit yoursite.com/llms.txt in your browser. You should see the file contents. Test with curl: curl yoursite.com/llms.txt. Ask an AI model like ChatGPT to cite your site. Check if citation format matches your specification. Monitor if citations increase over the next month.
Monitoring and Updates
Check your AI citations monthly. Add to llms.txt as you get feedback from AI models. If models ask for specific formats, adjust. If new content sections launch, update permissions. Add new User-agent rules as new AI models emerge. Review and update quarterly.
Common Implementation Mistakes
Making the file too restrictive and losing AI citations. Using unclear language in the file. Placing the file in the wrong directory. Not testing that the file is accessible. Creating overly complex rules. Not including proper attribution instructions.
The Future of llms.txt
llms.txt will likely become standard like robots.txt. More AI models will check for it. The format will continue evolving. Detailed usage analytics may become available. llms.txt may become required for certain AI partnerships. Implement it now before it becomes mandatory.
Integration with Overall AI Strategy
llms.txt is one part of optimizing for AI. Also: create original content AI wants to cite, implement schema markup, build topical authority, track AI citations, create comprehensive guides. llms.txt formalizes your permissions. The rest of your strategy makes your content worth citing.
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Charu Kohli
Founder & Head of Growth, GrowzaiSEO, AEO, and performance marketing specialist with hands-on experience building and scaling digital strategies for Indian businesses. Passionate about the intersection of AI and search — helping brands get found on both Google and AI-powered answer engines.