Free Tools

Help AI understand, cite, and recommend your website more accurately

Enter a URL to generate an LLMs.txt draft optimized for ChatGPT / Perplexity / Gemini. Ideal for SaaS, global brands, content sites, and tool sites to organize brand messaging, key pages, product capabilities, and AI-citable information.

  • Free instant audit
  • No coding required
  • Preview before publishing

After you submit an accessible sitemap URL, the real generated result will be returned.

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/llms.txt
# llms.txt

Enter an accessible sitemap URL to generate a real llms.txt file

After submission, we will read your website sitemap, extract key pages, and return the actual generated results here.

How It Works

This prototype keeps the structure of the real tool page, but it does not call live APIs at this stage.

  1. Step 1

    Enter the website you want to describe

    Use your homepage URL or the primary domain you want AI to understand.

  2. Step 2

    View LLMs.txt Output

    The preview shows a common streamlined structure, typically published at /llms.txt.

  3. Step 3

    Organize content by page recommendations before publishing

    Once the draft direction is confirmed, review the key pages, publish the files, and keep them maintained as the site changes.

What is llms.txt

LLMs.txt is a lightweight text file that helps AI understand your website more directly. It usually lists the pages you want models to read first, along with brief notes explaining why those pages matter.

It is not a formal replacement for existing technical documents, but an AI-oriented content guide. It helps answer engines and AI systems find and understand the key pages that best represent your brand, products, and documentation more quickly.

Why It Matters

More and more users are discovering products, comparing options, and looking for service providers through AI tools like ChatGPT, Perplexity, and Gemini. If your website does not clearly tell AI who you are, what you do, who you are for, and which pages matter most, AI may overlook you, misinterpret you, or cite inaccurate content. The purpose of LLMs.txt is to organize the information you want AI to understand first into a clear entry file:

  • Help AI understand your brand, products, services, and target customers faster
  • Guide AI to your most important pages, such as the homepage, product pages, docs, case studies, and pricing page
  • Reduce AI misreadings, omissions, and inaccurate summaries of your business
  • Provide the foundation for GEO / AI Search Optimization
  • Make your website easier for AI tools to read, cite, and recommend

It won’t guarantee that you appear in AI answers right away, but it can turn your site from “waiting for AI to guess” into “proactively telling AI how to understand you.”

Differences Between LLMs.txt, robots.txt, and sitemap.xml

These files solve different problems. They work better as complements, not substitutes.

DimensionLLMs.txtrobots.txtsitemap.xml
Primary useExplain which pages matter and how they should be understoodControl crawl access rulesList URLs to be discovered
Best for expressionBrand, product, documentation, and key contextAllow or block pathsHelp engines discover pages
Typical ContentBrief summaries and grouped linksRules and DirectivesStructured URL List

How to Publish It

Execution itself is not really complicated. The key is choosing the right pages and maintaining them consistently afterward.

  1. Step 1

    Write a brief website summary first

    In one or two sentences, explain what the company does and which pages AI should treat as primary sources.

  2. Step 2

    List only the most important pages

    Prioritize product, pricing, documentation, help, and educational content instead of including every URL.

  3. Step 3

    Publish to the site root directory

    We recommend publishing it at /.well-known/llms.txt or at the root as /llms.txt, as these paths are more standard and more stable.

  4. Step 4

    Update promptly when priorities change

    After launching a new product, replacing old pages, or restructuring documentation, you should reorganize this file.

Who It's For

  • Site owners who want to start with a low-barrier cleanup first, then decide whether to continue with deeper AI visibility work.
  • SEO, GEO, and content teams that first need to define which URLs represent the brand.
  • Product teams with extensive documentation that want to guide models to product pages, onboarding docs, and support content faster.

FAQ

Do I need to organize my website content before generating llms.txt?

No manual prep is needed in advance. Just enter your website URL, and Dageno will first read the public pages, identify the core sections and important content, then generate a website summary that AI systems can understand. After it is generated, you can make a few small adjustments based on your brand messaging, product priorities, or business goals.

What types of websites is llms.txt best suited for?

Content sites, SaaS websites, developer docs, ecommerce product pages, brand websites, knowledge bases, and local service websites are all good fits. If you want AI search tools to understand your product, services, expertise, or brand positioning more accurately, llms.txt can be part of your AI visibility optimization.

How do AI search tools use the information in llms.txt?

llms.txt can give AI systems a clearer view of your website structure, key page entry points, and content context. When users search related questions in tools like ChatGPT, Perplexity, and Gemini, this structured information helps AI understand your site topic more accurately and reduces incorrect summaries or missed key points.

Should llms.txt be as detailed as possible?

No. What matters more is clarity, accuracy, and making deliberate choices. Prioritize high-value content such as the homepage, product pages, pricing pages, documentation, case studies, and help center, rather than stuffing in every page. Overly long, repetitive, or irrelevant information can reduce AI comprehension efficiency.

How long does it take to see results after publishing llms.txt?

It depends on how often different AI search tools crawl and how they are used, so it usually will not produce immediately measurable changes like paid ads do. You can think of it as website infrastructure for the AI search era: first make your content exist in a form that is easier for AI to read, then combine that with ongoing content updates and GEO monitoring to observe changes in brand visibility.