llms.txt and AI crawler setup for your website

What does llms.txt implementation cover?

llms.txt implementation gives your website a dedicated file intended to help describe its content to AI systems. Our setup pairs that file with a review of crawler access rules and sitemap organization.

This is a practical fit when your team wants a deliberate, documented approach to AI crawler access rather than an isolated file with no accompanying technical review. It can also be useful during a site update when sitemap and crawler rules are already being revisited.

Before kickoff, share the production domain, the person who can approve or deploy site changes, and any access or content goals you want considered. We use these inputs to prepare a Launch Spec: a concise record of the site scope and requested work. If the main need is broader AI search planning, start with AI search visibility; if you need an independent review first, see our GEO audit.

llms.txt vs robots.txt: what is the difference?

llms.txt and robots.txt serve different roles in this setup. We configure llms.txt as a file describing website content for AI systems, while robots rules are reviewed for instructions that apply to crawler access.

1. Use llms.txt to provide a structured orientation to relevant site content.
2. Use robots rules to express access instructions for user agents covered by those rules.
3. Use sitemaps to maintain an organized map of URLs for discovery and crawling.

Treat these as complementary parts of a technical setup, not interchangeable controls. A content description in llms.txt does not itself grant access, and robots rules do not create a summary of your site. Sitemaps have their own role and should be checked alongside both.

For implementation, we check the current files and the requested scope before editing. We then make the agreed changes and record them in the Run Log, including where each change was made. The published llms.txt guidance can inform the file format; our llms.txt guide explains the concept and when it may be useful. This avoids treating a single file as a substitute for broader technical work.

How do AI crawler rules and sitemaps fit together?

Crawler rules and sitemaps address separate parts of the setup: rules express access instructions, while sitemap files organize URLs for discovery. We review them together so the configuration is coherent with the site scope you approve.

We do not assume that every AI service handles website files in the same way. Instead, the review focuses on the instructions and site files your team can see and manage. We check that the requested rules and sitemap changes are documented and that the final report identifies their intended purpose.

If you already have a technical SEO or engineering owner, include them early. They can confirm deployment constraints and help make sure edits fit existing site operations. For a wider technical AEO scope beyond these files, compare this service with technical AEO.

What do you receive, and how long does setup take?

You receive the agreed file and configuration work plus a final report that summarizes the changes and their intended effect. A typical engagement is completed within one to two business days.

1. Scope confirmation: We review your domain, requested coverage and implementation contact.
2. Spec Review: We confirm the proposed llms.txt, robots-rule and sitemap work before implementation.
3. Configuration: We create or update the agreed files and settings for the project scope.
4. Handover: We share the Run Log and final report so your team can review what changed.

The timeline begins once the site scope and working contact are clear. If your team needs to approve edits or deploy them, we coordinate the handoff around that responsibility. The final report is designed to be usable by both marketing and technical stakeholders: it names the work performed and explains the intended function of each change.

To assess quality, check that the report distinguishes file changes from their intended effect, and that it references the site areas covered. If you need ongoing work on content for AI answers, see content for AI answers; it complements technical setup but is a separate scope.

What can llms.txt setup control on each AI platform?

The setup controls the website files and rules included in the agreed work; it does not dictate how an AI platform interprets them. Use the service to make your site-side instructions clearer and to document the changes, not as a platform placement commitment.

A practical acceptance check is whether your team can answer these questions from the handover:

• Which llms.txt, robots-rule and sitemap changes were made?
• Which site scope did the review cover?
• What is each change intended to communicate or organize?
• Who on your team owns future edits and deployment?

The files do not determine whether an individual AI platform will use them, index particular pages, or cite your content. Each platform sets its own editorial and indexing policies, so those outcomes remain outside this engagement.

Send us your production domain, the AI user agents or site areas you want reviewed, and your technical contact. We will confirm the scope and next steps for your llms.txt project.

Prices

Starting prices in USD. Custom bundles and volume discounts on request. Payment in USDT, USDC, BTC, ETH, SOL, TON or your project token.

How it works

1. Share the site scopeSend your production domain, the site areas to include, and the AI crawler access goals you want addressed.
2. Confirm the Launch SpecWe review the requested files and agree the llms.txt, robots-rule and sitemap scope with your technical contact.
3. Configure the filesWe complete the agreed setup and document the work in the Run Log.
4. Review the handoverYour team receives a final report of changes and their intended effects, typically within one to two business days.