Guide AI crawlers to your best content while protecting sensitive information. llms.txt is the robots.txt for AI search engines—and early adopters gain significant advantages.
llms.txt is an emerging standard allowing websites to communicate directly with Large Language Model crawlers, similar to robots.txt for traditional search engines. Placed at /llms.txt, this file tells AI crawlers which pages to prioritize, which to exclude, and provides structured summaries guiding LLMs toward your most citation-worthy content.
While not yet universally adopted, early implementation positions your site advantageously as more AI engines respect llms.txt directives. Think of it like robots.txt in the early 2000s—forward-thinking sites implemented early and gained lasting advantages.
Comprehensive llms.txt setup tailored to your content and business goals.
Complete llms.txt Setup
Create a properly formatted llms.txt file with allow/disallow directives, page priorities, and structured metadata tailored to your site architecture.
Page Summaries & Context
Write markdown summaries of your top 20-50 pages optimized for LLM understanding. These summaries help AI engines understand and cite your content accurately.
Quarterly Updates
Keep your llms.txt current as your content evolves. Quarterly reviews updating summaries, priorities, and directives as AI standards develop.
llms.txt is particularly valuable for organizations that need to control how AI engines interact with their content.
Protect proprietary information, internal documentation, or gated content from AI training.
Guide AI crawlers to your best pages when you have thousands of URLs to prioritize.
Companies wanting first-mover advantage in AI crawler communication.
Brands that want accurate AI citations and need to provide context for LLMs.
How we create and deploy your llms.txt file.
Analyze your site structure to identify pages with citation potential, content requiring protection, and duplicate/low-value pages to exclude.
Identify your top 20-50 pages for AI citation priority. Map content categories, key landing pages, and authoritative resources.
Write structured markdown summaries for priority pages, optimized for LLM understanding. Include entity definitions, key facts, and citation context.
Create the llms.txt file following current standards. Validate format, test accessibility at /llms.txt, and verify proper encoding.
Deploy to your web server, monitor AI crawler access, and provide documentation for your team's ongoing maintenance.
Your free audit shows you where you stand. Now choose your path forward.
Diagnose your revenue exposure from AI search disruption. Credits toward the Answer-Slot Authority.
Want us to do 100% of the implementation for you? Dedicated 4-person team gets you to market leadership in 90 days.
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