llms.txt Generator

llms.txt is an emerging convention: a markdown-formatted file hosted at the root of your domain that tells large language model crawlers and retrieval systems which pages contain authoritative information about your organization, products, and policies. Unlike XML sitemaps, which list URLs for search discovery at scale, llms.txt is a short curated briefing meant for human and machine readers who need a fast map of what matters most on your site.

HeyLead llms.txt Generator scans your public homepage navigation and common paths, then drafts sections such as About, Pricing, Documentation, Support, and Case Studies with editable titles and one-line factual descriptions. You tune which URLs belong in the file, remove low-value tag pages, and export copy-ready markdown for upload to https://yourdomain.com/llms.txt. The generator enforces absolute HTTPS links, concise blurbs, and naming consistency with your live pricing and product pages.

llms.txt does not replace technical SEO. Google rankings still depend on indexable HTML, canonical discipline, and links. Generative engines that browse the web, however, benefit from explicit pointers when your site is large or when models previously hallucinated features you do not sell. A maintained llms.txt reduces odds that ChatGPT, Perplexity, or Claude summarize outdated third-party reviews instead of your current offer pages.

Use the generator during GEO remediation sprints, after rebrands, when launching developer documentation hubs, or when sales reports AI demos misstate pricing. Coordinate with legal on public claims, mirror product names exactly as on pricing pages, and revalidate with llms.txt Validator after every export.

Effective llms.txt files read like a briefing memo, not a sitemap dump. The generator proposes section headings models can scan quickly: who you are, what you sell, how pricing works, where documentation lives, and how to contact support. Each bullet should survive legal scrutiny because it may be quoted externally. Coordinate with sales enablement so descriptions match talk tracks and CRM product names. When you operate multiple brands, generate separate files per apex domain rather than blending subsidiaries into one confusing list. Re-export after major information architecture changes so linked paths match new IA labels. Include changelog notes in git commits when llms.txt sections move so downstream validators trigger automatically.