The llms.txt Standard:
Give AI a Clean Summary of Your Business
By Lesli Rose · April 3, 2026 · 8 min read
llms.txt is an emerging plain-text file you place at the root of your domain that gives AI systems a structured, machine-readable summary of your business. Think of it as robots.txt for context -- instead of telling AI what it can crawl, llms.txt tells AI what your business actually is. It is not yet an official standard, but adoption is growing fast and the businesses using it now are getting a head start on AI visibility.
If you have ever asked ChatGPT about a business and gotten a vague or outdated answer, this is partly why. AI systems piece together information from scattered sources -- your website, directories, review platforms, social profiles. The result is often incomplete or slightly wrong. llms.txt gives AI a single, authoritative source of truth about your business, written by you.
Why llms.txt Exists
Websites are built for humans. Navigation menus, hero images, animations, testimonial carousels -- all designed for the human eye. AI systems do not see any of that. They parse HTML, extract text, and try to understand what a business does from content that was never structured for machine consumption.
Schema markup helps -- it embeds structured data into individual pages. But schema is granular. It tells AI about a specific page, a specific FAQ, a specific product. What is missing is a high-level, plain-language summary of the entire business. That is the gap llms.txt fills.
The concept was proposed by AI researchers and developers who recognized that AI discoverability needed something simpler and more direct than crawling an entire website. One file, at a known URL, with everything an AI system needs to accurately describe and recommend a business.
What Goes in an llms.txt File
The format is plain text with clear section headers. No special syntax, no code, no markup. Just clean, factual information organized under headings. Here is a practical example for a local service business:
# Example: llms.txt for a local accounting firm
> Greenfield Accounting is a small business accounting firm in Austin, Texas. We specialize in tax preparation, bookkeeping, and financial planning for businesses with 1 to 50 employees.
## Services
- Small Business Tax Preparation
- Monthly Bookkeeping
- Quarterly Financial Reviews
- Payroll Management
- Business Entity Formation
## Team
- Sarah Greenfield, CPA -- Founder, 15 years experience
- Marcus Chen, EA -- Senior Tax Advisor
## Location
Austin, Texas. Serving clients in Travis, Williamson, and Hays counties. Virtual consultations available nationwide.
## Pricing
- Tax preparation: starting at $300
- Monthly bookkeeping: starting at $500/month
- Free 30-minute consultation for new clients
## Links
- Website: https://greenfieldaccounting.com
- About: https://greenfieldaccounting.com/about
- Services: https://greenfieldaccounting.com/services
- Blog: https://greenfieldaccounting.com/blog
- Contact: https://greenfieldaccounting.com/contact
Notice the format. Clean headers. Bullet points. Direct, factual statements. No marketing fluff. This is not a sales pitch -- it is a reference document for AI systems. Write it the way you would fill out a detailed business profile, not the way you would write a homepage headline.
Where to Put It
Place the file at the root of your domain: yourdomain.com/llms.txt. This follows the same convention as robots.txt and sitemap.xml -- a known URL where AI systems can look for it without any configuration or discovery. The file should be served as plain text (Content-Type: text/plain).
If your site runs on WordPress, you can create llms.txt as a static file in your root directory. If you use a modern framework like Next.js, you can serve it from the public folder or as a route that returns plain text. The important thing is that the URL resolves and returns clean text content.
Who Is Using It Now
Adoption is early but accelerating. Anthropic (the company behind Claude) has publicly endorsed the concept. Several major tech companies, SaaS platforms, and developer tools have implemented llms.txt files on their domains. The AI developer community has largely rallied behind the idea because it solves a real problem -- giving AI systems clean, authoritative context about a business without requiring them to scrape and interpret an entire website.
For small and local businesses, adoption is still minimal. Which means this is an opportunity. The businesses that implement llms.txt now are establishing a direct communication channel with AI systems before their competitors even know it exists. When the standard matures and AI systems start actively looking for llms.txt -- and they will -- early adopters will already have their information indexed.
llms.txt vs Schema Markup
I get this question constantly: if I have schema markup on my site, do I still need llms.txt? Yes. They do different jobs.
Schema markup is embedded in individual HTML pages. It describes the content of that specific page -- an article, a FAQ, a local business, a product. It is granular and page-level. Google uses it for rich results. AI systems use it for structured data extraction.
llms.txt is a single file at a known URL. It describes your entire business at a high level -- who you are, what you do, where you are, what you charge, and where to find more information. It is holistic and site-level. AI systems use it as a quick reference before diving into individual pages.
Think of schema as the detailed spec sheet for each room in a house. llms.txt is the real estate listing that summarizes the whole property. An AI system uses both -- the listing to understand the big picture, the spec sheets to get details on specific features.
Best Practices for Writing Yours
Be factual, not promotional. AI systems are looking for accurate information, not marketing copy. State what you do, where you do it, and what you charge. Skip the superlatives.
Keep it current. If your services, pricing, or team changes, update the file. Stale information is worse than no information -- it leads to AI giving inaccurate recommendations about your business.
Include your key pages. Link to your most important URLs -- about, services, contact, blog. This gives AI systems a curated starting point instead of making them discover pages through crawling.
Use clear section headers. Markdown-style headers (## Services, ## Team, ## Pricing) make the file easy for both humans and machines to parse.
Include credentials and differentiators. Certifications, years of experience, specializations, awards -- the factual details that set you apart from competitors and help AI systems make informed recommendations.
The Bigger Picture
llms.txt is part of a broader shift in how businesses need to think about their online presence. For twenty years, the question was "how do I rank on Google?" Now it is expanding to "how do I get recommended by AI?" The tools for answering that question are still emerging -- llms.txt, schema markup, AI crawler access, answer-first content formatting.
None of these replace traditional SEO. They layer on top of it. A business with strong SEO and AEO foundations plus an llms.txt file is communicating with both traditional search engines and AI systems. That is the full picture of modern discoverability.
Creating an llms.txt file takes thirty minutes. Maintaining it takes five minutes whenever something changes. The cost is essentially zero. And the potential upside -- being the business AI systems can accurately describe and confidently recommend -- is significant and growing.
Frequently Asked Questions
What is llms.txt?
llms.txt is a plain-text file at the root of your website (yourdomain.com/llms.txt) that gives AI systems a structured summary of your business. It includes your name, description, services, team, pricing, and links to key pages. Think of it as a business profile written specifically for AI consumption.
Is llms.txt an official web standard?
Not yet. It is a proposed standard with growing adoption across the AI industry. Anthropic and other major AI companies have endorsed the concept. It is not ratified by the W3C or IETF, but practical adoption is accelerating faster than formal standardization.
Do I still need schema markup if I have llms.txt?
Yes. They serve different purposes. Schema markup gives granular, page-level structured data that helps Google and AI understand individual pages. llms.txt gives a high-level business overview at a single URL. Use both for full AI discoverability.
What should I include in my llms.txt file?
Include your business name, a one-line description, location, services, team members with credentials, pricing, and links to your most important pages. Keep it factual and concise. Use clear section headers. Update it whenever your business details change.
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