Step 1: free technical check
llms.txt checker
Check whether your website publishes a readable llms.txt file, then review crawlability, robots.txt, sitemaps, and structured data in a free scan.
What to check
An llms.txt file is a Markdown guide to your website for language models. This llms.txt checker tests that file and the crawler signals around it. An llms.txt file helps AI systems find your key pages; it does not make them recommend you. Weekly tracking shows whether they do.
llms.txt availability and content
Check that /llms.txt is accessible as text or Markdown, with more than 200 characters, headings, and at least one absolute URL.
Crawlability and robots.txt
Review whether the page can be fetched and whether crawler rules block access.
Sitemap discovery
Check for a readable XML sitemap that helps crawlers find your content.
Structured data and readable HTML
Review structured data and semantic HTML so the guide points to pages with useful context.
Beyond a robots.txt check
Robots.txt expresses crawler access rules. It does not tell you whether a page has readable content, useful structured data, a discoverable sitemap, or a clear llms.txt guide. LLM Scan checks these signals together and suggests fixes you can review and apply. A good technical score does not guarantee inclusion or citations in AI answers. Learn more in our readiness audit guide.
Then see whether AI actually mentions you
A readable site is the starting point. Paid plans run your buyer questions through ChatGPT, Perplexity, Gemini and Claude every week and email a report: how often you are mentioned and in what position, prompts won and lost, share of voice against your competitors, the sources AI cites, your Google rank and AI Overview citations for tracked keywords, and the 3 things to fix next.