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Free llms.txt Generator

llms.txt is the structured cheat sheet language models request before answering questions about your business. Hand them accurate docs, pricing, and policies so every AI agent cites the right sources.

Use this generator to assemble a fully compliant file, then host it at /llms.txt to boost AI discoverability and reduce hallucinations.

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Spec-ready

Compose an llms.txt brief your models respect

Outline the product context, surface release-critical docs, and tailor notes so retrieval-augmented systems stay accurate. Everything saves locally and renders instantly in the preview.

Curate your guidance

Populate the fields below to shape the narrative LLM crawlers see. Sections keep related links grouped.

Autosave on

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.

Spec: Draft 0.1
# VeloRank

> AI-powered local SEO platform. This file curates the most LLM-friendly resources and guidance for accurate answers about our product.

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.

How it works

Three quick steps turn your documentation into the structured playbook AI agents actually follow.

1

Outline the essentials

Capture your product name, a tight summary, and usage notes so language models understand scope before crawling links.

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2

Prioritize authoritative sources

Link to Markdown mirrors of your docs, FAQs, pricing, and policies. Keep optional or heavy resources in their own section.

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3

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.

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llms.txt Frequently Asked Questions

Everything you need to launch a language-model friendly documentation hub without touching code.

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.

Publish llms.txt today, level up your local SEO tomorrow

Pair this AI-ready documentation hub with VeloRank's automated audits to uncover quick wins in Google Business Profile, citations, and on-page content.

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