Enter your domain and our crawler builds a spec-compliant llms.txt — 5 to 15 sections, ready to copy and deploy at /llms.txt. Free, no signup required.
Create a reviewable llms.txt draft from your domain, organized into concise sections with important URLs and summaries. You receive text you can edit and deploy—not a claim that publishing the file guarantees inclusion in an AI answer.
From llms.txt Generator. The free check’s exact coverage is explained below.
A short path from one focused input to a next step grounded in the result.
Enter the public domain you want the generator to inspect.
Review the discovered pages and the proposed structure and summaries.
Remove low-value URLs and edit descriptions so they are factual and concise.
Publish the approved file at /llms.txt and keep it aligned with major site changes.
llms.txt is a proposed plain-text convention that gives AI systems a curated map of useful site content. It complements accessible HTML, sitemaps, robots controls, and strong information architecture; it does not replace them.
Create a concise map of durable documentation, reference, and policy pages instead of exposing an uncurated URL inventory.
Review discovered canonicals and summaries alongside sitemap, robots, rendering, and internal-link decisions.
Generate a starting file without hand-writing every title and description, then retain editorial control before publishing.
A short file of authoritative, stable pages is a strong starting point.
A draft dominated by utility, duplicate, or thin URLs needs manual curation before publishing.
Missing pages can indicate crawl limitations or weak internal discovery; investigate rather than invent entries.
Fact-check summaries, publish at the root, and add maintenance to your release checklist.
Keep durable reference, product, policy, and learning pages; remove noisy archives and duplicates.
Check indexability, links, canonicals, and server access before adding URLs manually.
A sitemap lists canonical URLs for search discovery. robots.txt controls crawler access. llms.txt offers a curated, descriptive guide. Keep each file accurate and do not use one as a substitute for another.
A useful file is selective. Include stable pages that explain the organization, products, documentation, policies, or authoritative learning material. Each entry should use the canonical public URL and a short summary that states what the page provides. A list dominated by account screens, filters, duplicate archives, campaign parameters, or thin tag pages makes the map harder to use.
Sections should reflect the site people actually navigate rather than a generic taxonomy forced onto every domain. Review the generated grouping and rename it when the site uses a clearer product or documentation vocabulary. The summary is the editorial payload: verify every claim against the linked page and remove promotional language that the source cannot substantiate.
A sitemap is a discovery list of canonical URLs for search crawlers. robots.txt expresses crawler-access rules. llms.txt is a proposed descriptive guide. It does not grant access to a blocked page, override a noindex directive, repair a canonical conflict, or replace a sitemap. All three files can coexist because they answer different questions.
If an important page is missing from the generated draft, investigate public discovery first. Check its status, canonical, crawl access, internal links, and whether the page content exists in the server response. Adding an inaccessible URL manually may make the file look complete without making the underlying page usable.
Edit the draft, remove weak entries, verify summaries, and publish the approved plain-text file at the root path /llms.txt. Open that URL in a private browser session to confirm it returns successfully without authentication or an HTML error template. If you also publish an extended file, keep the distinction visible and avoid exposing material that should not be public.
Review the file after navigation changes, product launches, documentation migrations, or canonical URL updates. Maintenance is more valuable than speculative promises: a short current map is more defensible than a large file full of retired destinations.
The generator inspects publicly discoverable site pages and proposes a structured text file with page descriptions for human review.
Coverage depends on accessible pages and discovery. Adoption of llms.txt varies, and the file cannot force crawling, indexing, citation, or model behavior.
The guidance reflects the generator’s actual output: a reviewable llms.txt draft made from publicly discoverable pages, grouped into sections with titles, canonical URLs, and concise summaries. SearchChamp does not claim that the proposed convention is a ranking signal or that publishing it causes an AI citation.
Product behavior reviewed September 2026Publish the reviewed file at the site root: /llms.txt.
No ranking improvement is guaranteed, and it is not a replacement for technical SEO or useful content.
No. Curate the most useful, authoritative, and durable pages.
Review it after significant navigation, product, documentation, or canonical URL changes.
The free llms.txt Generator is designed for a focused, one-off answer. Use llms.txt Generator when you need saved work, broader coverage, recurring analysis, and a workflow your team can revisit.