TL;DR
An AI Info Page is a human-readable webpage that tells AI systems who you are, what you do, and how to accurately represent your brand. llms.txt is a plain-text file placed at the root of a website, structured specifically for large language models to parse during crawling or retrieval. Both exist because AI systems now pull information about businesses directly from websites, often without human curation. An AI Info Page is written in natural language; llms.txt follows a defined markdown-based format closer to a machine-readable specification. They are not interchangeable. One targets the human-AI interface layer; the other targets the AI’s data ingestion layer. Used together, they give AI systems a more complete and accurate picture of a business.
AI systems are often the first place people go when they want to learn about a business. When someone asks an AI assistant about a company, its products, or its services, the AI pulls from whatever information it can find online. If that information is scattered, outdated, or misrepresented, the AI’s answer reflects that.
This has led businesses to think more carefully about what they publish online and for whom. Two formats have emerged as practical responses to this problem: the AI Info Page and llms.txt.
Both are built to help AI systems understand a business more accurately, but they work in very different ways and serve different functions.
This blog explains what each format is, how they differ structurally and functionally, and when to use one over the other or both.
What is an AI Info Page?
An AI Info Page is a dedicated webpage on a website, written in plain, natural language, that provides AI systems and their users with accurate, authoritative information about a business.
Think of it as the About page, but rewritten with AI consumption in mind. A standard About page is written for human visitors. It may include storytelling, brand voice, imagery, and design elements. An AI Info Page strips all of that back. It focuses on facts: who the company is, what it does, the problems it solves, the products or services it offers, its founding date, its executive team, its location, and how to contact it.
The goal is to give any AI system, whether a chatbot, a search assistant, or a retrieval-augmented generation (RAG) pipeline, a single reliable source to pull from.
When an AI is asked, “What does Company X do?”, an AI Info Page provides a clean, factual answer without the AI having to interpret marketing copy or read between the lines of a cluttered homepage.
Core Elements of an AI Info Page
A well-structured AI Info Page typically includes:
Company overview: A clear, factual description of the business, what it does, and the market it serves. Products and services: Specific descriptions with accurate names, not taglines or vague category labels. Founding information: Year established, founders, and location. Leadership Team: Names and roles of leadership, especially those who speak publicly about the company. Contact and support channels: Official email, phone numbers, and support URLs. Brand clarifications: Common misconceptions, pronunciation of the company name, or distinctions between similar-sounding brands. Structured data markup: Schema.org annotations that reinforce factual claims for crawlers.
The page is meant to be indexed by search engines and read by AI systems during retrieval. Because it is written in natural language, it is also readable by humans, which makes it a versatile reference document.
Why Are Businesses Creating AI Info Pages?
AI-generated answers often compress information pulled from multiple sources. If a business’s website buries key facts inside product landing pages, blog posts, and social media bios, an AI might stitch together a partial or inaccurate summary.
An AI Info Page solves this by acting as the authoritative source. It puts everything in one place, written clearly, so the AI does not have to guess or infer. This is particularly important for:
Businesses with similar names to competitors Companies that have recently rebranded Niche businesses for which AI systems may have limited training data Any organization where the accuracy of representation directly affects trust (healthcare, legal, financial services)
What is llms.txt?
llms.txt is a proposed standard for a plain-text file that website owners place at the root of their domain, at the path /llms.txt. It is written in markdown and is structured specifically so that large language models can read it when they access a website.
The concept was proposed by Jeremy Howard in 2024 as a machine-readable counterpart to robots.txt. While robots.txt tells crawlers what they can and cannot access, llms.txt tells AI systems what they should prioritize and understand about the site’s content.
Structure of an llms.txt File
An llms.txt file follows a defined structure:
An H1 heading: The name of the project, company, or website. A blockquote: A short summary of what the site or organization does. Additional H2 sections: These may include links to primary pages, documentation, product details, or other resources the AI should reference. Optional: llms-full.txt: A companion file that contains the full text of important pages, pre-packaged for AI consumption without requiring additional crawls. Here is a simplified example of how an llms.txt file looks:
# Acme Corp
> Acme Corp builds infrastructure tools for distributed systems teams.
## Docs
- [Getting Started](https://acmecorp.com/docs/start): Setup and installation
- [API Reference](https://acmecorp.com/docs/api): Full API documentation
## About
- [Company Overview](https://acmecorp.com/about): Founding, team, and mission
The format is intentionally minimal. It is not written for human visitors browsing the site. It is written for AI systems that need to quickly understand what a site is about and where to find specific information without crawling every page.
How llms.txt Guides AI Systems
When a large language model or AI assistant accesses a website in response to a real-time query, it often has limited context and processing capacity. It cannot read every page. It needs a guide.
llms.txt provides that guide. It tells the AI: here is what this site is, here are the most important pages, and here is where to find specific answers. This reduces the chance that the AI will miss key information or pull from less relevant pages.
For developers building AI-powered products, llms.txt also makes it faster and more efficient to index a site’s content into a retrieval system. Instead of crawling and parsing hundreds of pages, the system can read llms.txt and know exactly where to go.
Side-by-Side Comparison of AI Info Page and llms.txt
Understanding the two formats side by side makes their differences clear.
Dimension AI Info Page llms.txt Format Natural language webpage Markdown plain-text file Location A URL on the site (e.g., /ai-info) Root of the domain (/llms.txt) Audience AI systems + human readers AI systems and developers primarily Purpose Provide authoritative factual content Guide AI to the right pages Structure Prose with optional schema markup Defined markdown structure Indexable by search engines Yes Generally not (plain text, no HTML) Covers content detail Yes No, it references detail elsewhere Requires technical setup Minimal Minimal, but follows a spec
The clearest way to think about this distinction: an AI Info Page is the answer; llms.txt is the index that points to answers.
An AI Info Page contains the actual information an AI needs to accurately describe a business. llms.txt tells the AI where to find that information, along with everything else on the site.
Where AI Info Page and llms.txt Align and Differ
Both formats share the same underlying motivation: improving how AI systems represent a business. Both are proactive steps taken by website owners to reduce inaccuracy in AI-generated answers.
But their overlap ends there.
An AI Info Page can exist without llms.txt. A business might create a detailed, well-structured AI Info Page but never create a llms.txt file. The page will still be indexed by search engines and retrieved by AI systems through normal crawling and retrieval processes.
Similarly, llms.txt can exist without an AI Info Page. A developer tool company might create a thorough llms.txt file pointing to documentation pages, changelogs, and API references without ever creating a dedicated page for AI context.
Used together, though, they complement each other well. The llms.txt file can include a direct link to the AI Info Page, making it easy for any AI system accessing the site to find the most authoritative source of factual information immediately.
AI Info Page vs llms.txt Based on Use Case
Each format fits a different type of business and content setup.
The right choice depends on how your site is structured and what it needs to communicate.
AI Info Page: Good Fit For
Businesses that frequently appear in AI-generated answers and want to control the accuracy of those representations Companies in sectors where factual precision is critical: healthcare providers, financial advisors, legal services, and educational institutions Organizations that have gone through rebranding or name changes Any business that has found itself misrepresented by AI tools and wants a single corrective reference point
llms.txt: Good Fit For
Software companies, developer tools, SaaS products, and API providers whose content is commonly accessed by AI assistants, helping developers Documentation-heavy sites where AI systems are likely to retrieve technical content during user queries Businesses with large websites where guiding AI crawlers to priority pages improves retrieval accuracy Organizations whose teams are actively building with AI and want their own site’s content to be easily parsable
How AI Systems Actually Use These Formats?
It is worth being honest about a limitation here: neither format guarantees any specific behavior from AI systems. There is no universal standard that requires ChatGPT, Claude, Gemini, or Perplexity to read your llms.txt or prioritize your AI Info Page. These formats work through influence, not enforcement.
That said, they work in meaningful ways:
For retrieval-augmented generation (RAG) pipelines: When an AI product indexes a website to answer questions about it, having an llms.txt file and an AI Info Page improves indexing accuracy and completeness. Developers building these pipelines often look for exactly this kind of structured guidance.
For web-browsing AI agents: AI assistants that browse the web in real time, like Perplexity or AI-enhanced search results, pull content from pages. A clear AI Info Page gives them clean, factual content to surface.
For training data: Some AI systems may use publicly available web content in future training runs. An AI Info Page with accurate information contributes a reliable signal.
For citation and attribution: AI systems that cite sources when generating answers will point to pages from which they retrieved content. An AI Info Page is a far cleaner citation than a homepage filled with marketing copy.
How to Set Up an AI Info Page and llms.txt
Follow these steps to create each format correctly:
Steps to Create an AI Info Page
Write a factual overview of the business in 2 to 3 paragraphs. Avoid superlatives and marketing language. List products and services with precise names and one-sentence descriptions. Include founding details, team information, and official contact channels. Add any necessary clarifications about the business that AI systems commonly get wrong. Implement Schema.org structured data (Organization, Product, Person schemas as relevant). Publish the page at a predictable URL such as /ai-info, /about/ai, or /company/ai-overview. Link to it from the site’s main navigation or footer so crawlers can reliably find it.
Steps to Create an llms.txt File
Create a plain text file named llms.txt. Start with an H1 heading containing the company or site name. Add a blockquote with a one-to-two sentence description of the organization. Add H2 sections grouping links to the most important pages on the site. For each link, include a brief description of what the page contains. Upload the file to the root of your domain so it is accessible at yourdomain.com/llms.txt. Optionally, create an llms-full.txt companion file containing the full text of your most important pages.
Common Misconceptions About AI Info Page and llms.txt
Before putting either in place, it helps to clear up a few common assumptions:
Misconception: “An AI Info Page replaces the About page.”
Reality: It does not. The About page serves human visitors and typically includes brand storytelling, imagery, and emotional context. The AI Info Page is a separate, parallel resource focused entirely on factual accuracy for AI retrieval.
Misconception: “llms.txt is like robots.txt for AI.”
Reality: This comparison is frequently made but is only partially accurate. robots.txt controls access: it tells crawlers what they are not allowed to read. llms.txt guides priority: it tells AI systems what they should read first. One restricts; the other recommends.
Misconception: “If I create these, AI tools will immediately represent my business correctly.”
Reality: These formats improve the probability of accurate representation, but they do not override how individual AI systems retrieve or weight information. They are best thought of as improving your baseline signal, not as a switch that produces guaranteed results.
Misconception: “Only tech companies need llms.txt.”
Reality: Any business with a content-rich website and an interest in how AI tools describe them can benefit from llms.txt. The format is not limited to software or developer-focused companies.
Establishing AI Protocols with Info Pages and llms.txt
The distinction between an AI Info Page and llms.txt comes down to function. An AI Info Page is content: it carries the facts you want AI systems to understand and communicate about your business. llms.txt is structured: it tells AI systems where to look and what to prioritize when accessing your site.
Neither format requires significant technical overhead. Both require clarity about what your business is and what you want AI systems to say about it. As AI tools become more central to how people find and evaluate businesses, getting these basics right matters more than ever.
If you are starting from scratch, the AI Info Page is the more immediately practical step. It gives AI systems something concrete and accurate to retrieve. llms.txt is the natural next step, especially for sites with substantial content that benefits from an organized navigation structure.
Define How AI Describes Your Business with INSIDEA
Most businesses already have the information AI systems need. The problem is that it is spread across pages, written inconsistently, and not set up as a clear source of truth. As a result, AI tools often return partial, mixed, or incorrect descriptions of your business.
INSIDEA helps you fix this by defining what AI systems should understand about your business and structuring that information across both your AI Info Page and llms.txt file so it is clear, consistent, and easy to retrieve.
Here is how we help:
AI Info Page Creation: We create a clear, factual AI Info Page that acts as the primary source of truth for how your business is described. llms.txt File Setup and Structuring: We create and structure your llms.txt file to guide AI systems to the right pages and priority content across your site. Content Consistency Review: We audit your existing pages to remove conflicting signals that lead to inaccurate AI outputs. Structured Data Implementation: We implement relevant schema markup to reinforce core business information across search and retrieval systems.
Get Started Now!
FAQs
1. Do I need both an AI Info Page and llms.txt, or is one enough?
You can start with just one. An AI Info Page is more immediately impactful for businesses whose primary concern is the factual accuracy of AI-generated answers. llms.txt is more useful for sites with large amounts of content, where guiding AI crawlers to priority pages makes a measurable difference. Using both gives a more complete setup, but neither requires the other to work. 2. Is llms.txt an official standard accepted by major AI companies?
As of 2025, llms.txt is a proposed standard, not an officially ratified one. It was introduced by Jeremy Howard and has gained adoption among developers and technical teams, but major AI providers such as OpenAI, Google, and Anthropic have not publicly committed to treating it as a required or universally recognized format. Adoption is voluntary and growing, particularly in the developer ecosystem. 3. Can an AI Info Page hurt my SEO if it duplicates content from other pages?
Only if it copies large blocks of text from existing pages without adding anything new. A well-written AI Info Page is factual and structured differently from marketing copy or product pages, so it generally does not create duplicate content problems. Using structured data markup on the page can also help search engines understand its distinct purpose. 4. How often should I update an AI Info Page or llms.txt?
Update them whenever factual information about your business changes, such as new products, rebranding, leadership changes, new locations, or contact information updates. Because AI systems may cache or reference these sources for extended periods, keeping them current reduces the risk of AI tools surfacing outdated information about you. 5. Are there businesses where an AI Info Page is especially important?
Yes. Businesses in healthcare, legal services, financial advising, and education are particularly affected by AI misrepresentation because accuracy in those fields has direct consequences for users acting on AI-generated information. Similarly, businesses with common or generic names, or those sharing a name with a better-known brand, benefit significantly from a dedicated AI Info Page that clearly establishes their specific identity.
How INSIDEA works
