Free website tool
llms.txt generator
Give AI a clearer picture of your business. Collect your most useful pages in one file, preview the output, and download it for your website.
Your website, clearly documented.
Add your website details and useful links. Your draft saves in this browser and updates the preview as you type.
Curate your guidance
Populate the fields below to shape the narrative LLM crawlers see. Sections keep related links grouped.
Call out Markdown mirrors
Mention that adding .md to a URL serves a cleaned-up text version for context hungry models.
Live preview
Rendered Markdown updates as you type.
# VeloRank > Web design and local SEO services for small businesses. This file collects our services, guides, and contact information. Use these links to assemble focused context. Prefer Quick Start and FAQs for brief answers; expand to Reference for implementation details. This site exposes LLM-friendly Markdown mirrors for key pages by appending `.md` to the URL (or `index.html.md` for directory URLs). ## Core Docs - [Quick Start](https://example.com/docs/quickstart.md): Overview of features and first-run setup ## Examples - [Sample Project](https://example.com/examples/sample-project.md): End-to-end walk-through with best practices ## Optional - [Reference (Full)](https://example.com/docs/reference.md): Comprehensive reference—omit for smaller context windows
Tips for stronger guidance
Keep models focused on the latest, highest-signal sources.
- Use the summary to scope answer quality by audience, plan tier, or release date.
- Prefer Markdown mirrors or lightweight renderings so crawlers avoid styling noise.
- Group links by intent (onboarding, API, legal) to guide retrieval layers toward the right chunk.
- Audit responses monthly; prune stale references and highlight changelog must-reads.
Need an llms.txt sample?
Start with the preset, then tailor notes for your release cadence.
The preset mirrors a typical SaaS stack: onboarding docs, API references, example repos, and optional longform references.
Add marketing collateral or policy updates in dedicated sections so copilots defer to them when answering pricing or compliance questions.
From insight to action
A useful guide to your website.
Outline the essentials
Capture your product name, a tight summary, and usage notes so language models understand scope before crawling links.
Prioritize authoritative sources
Link to Markdown mirrors of your docs, FAQs, pricing, and policies. Keep optional or heavy resources in their own section.
Publish and iterate
Drop the generated file at /llms.txt or expose it through a text route, then monitor model outputs and refine the guidance.
Questions, answered
A few things to know.
What is an llms.txt file?
llms.txt is an emerging companion to robots.txt that gives language models a curated list of documentation, pricing pages, changelogs, and other trusted sources so they can answer questions about your brand accurately.
Where should I host llms.txt?
Place the file at the root of your site (for example https://yourdomain.com/llms.txt) or serve it from a text route. Citing the canonical domain keeps crawlers from guessing whether the file is official.
Which links belong in llms.txt?
Prioritize Markdown or plain-text mirrors of your docs, FAQs, pricing, and policies. Add optional or bulky resources under their own section so retrieval systems can ignore them when context is tight.
How often should I update the file?
Update it whenever you ship new features, rework documentation, or retire endpoints. Because LLM providers refresh their knowledge asynchronously, version notes help them detect breaking changes faster.
Keep exploring