Give AI crawlers a map of your site
Enter your domain and we read your live sitemap and key pages to assemble a ready llms.txt file: a plain-text map that tells AI crawlers what your site is about and which pages matter. Review, edit, copy or download. No sign-up.
Proof behind the tools
Built from a system we run on our own SaaS.
Each free tool isolates one part of the operating system. These are the current visibility and traffic receipts from running that system on SupaSidebar.
2.56M
Google Search impressions
Six-month Search Console view
26.7K
Google Search clicks
The same Search Console view
62.1K
Total website visitors
Apr 27 to Sep 1, PostHog
The visitor total includes Google, AI recommendations, direct visits, and other measured sources. Search Console impressions and PostHog visitors are related evidence layers, not a one-to-one conversion.
See the dashboards01 / How it works
Enter your domain
We read your homepage for a title and description, then look up your sitemap for the rest of your pages.
We assemble a draft
Pages are grouped into sections by their URL path (for example everything under /blog becomes a Blog section), each with a title and description.
Edit, copy or download
The result loads into an editable box. Tweak anything, then copy it or download it directly as llms.txt.
02 / FAQ
Questions, answered.
What is llms.txt?+
llms.txt is a plain-text file, conventionally served at yourdomain.com/llms.txt, that gives AI crawlers a short map of your site: what it is, and links to the pages that matter most, grouped by section. It follows the llmstxt.org convention proposed for making sites easier for AI systems to understand quickly.
Is llms.txt a real standard that AI companies follow?+
No major AI company has committed to reading or prioritizing llms.txt the way search engines committed to robots.txt or sitemap.xml. It is an emerging, community-driven convention. Some crawlers and tools do look for it; none are required to. Treat it as a helpful nicety, not infrastructure you can depend on.
Does adding llms.txt get me cited by ChatGPT or Perplexity?+
No. It can make it faster for a supporting crawler to understand your site's structure. It has no bearing on whether an AI assistant chooses to cite you, which depends on the actual content quality and what other sites say about you. We would rather say that plainly than oversell a text file.
Where do the page titles and descriptions come from?+
We fetch your live sitemap.xml (or the sitemap URL declared in your robots.txt), then fetch the individual pages to read their <title> and meta description. Where a page has no description, we generate a readable title from its URL slug instead.
Why does generating this take up to 20 seconds?+
Unlike the other tools, this one fetches your homepage, your robots.txt, your sitemap, and then a batch of individual pages to pull real titles and descriptions. That is several sequential network round-trips to your server, which is why it is slower than a single-page check.
Can I edit the result before I use it?+
Yes, the generated file loads directly into an editable text box. Reorder sections, rewrite descriptions, or trim pages you don't want listed, then copy or download the final version as llms.txt.
Where do I put the file once I've downloaded it?+
Upload it to your domain's root, so it is reachable at yourdomain.com/llms.txt, the same place robots.txt and sitemap.xml live.
03 / More free tools
See in seconds whether GPTBot, ClaudeBot, PerplexityBot and the other AI crawlers can actually read your site.
Paste JSON-LD or a URL and see which schema types you have, which are broken, and which AI-relevant types are missing.
Paste a passage and get a 0-100 score on how quotable it is for an AI answer, with the exact sentences holding it back.
Paste a URL and see exactly how the link unfurls on X, Facebook, LinkedIn, WhatsApp, Slack and Discord, with the missing tags flagged.
Free strategy call · 30 minutes
A map helps. Getting cited is the real work.
Beamcite does the ongoing work of getting you actually cited by ChatGPT, Perplexity and Gemini, human-reviewed, until you are cited.
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