eg

llms.txt generator.

generate llms.txt + llms-full.txt for your store, llmstxt.org spec

> store details

> important pages

> collections

> support / policy pages

> preview

# ACME Outdoor Co.
> Premium hiking, camping, and trail-running gear for serious adventurers. Everything ships direct from our Colorado warehouse.
> https://acmeoutdoor.com

## Pages
- [About us](https://acmeoutdoor.com/about)
- [Blog](https://acmeoutdoor.com/blog)

## Collections
- [Trekking Poles](https://acmeoutdoor.com/collections/trekking-poles)
- [Backpacks](https://acmeoutdoor.com/collections/backpacks)
- [Trail Running](https://acmeoutdoor.com/collections/trail-running)
- [Camping Cookware](https://acmeoutdoor.com/collections/cookware)

## Support
- [Contact us](https://acmeoutdoor.com/pages/contact)
- [Shipping policy](https://acmeoutdoor.com/policies/shipping-policy)
- [Returns policy](https://acmeoutdoor.com/policies/refund-policy)

> worked example

An outdoor gear operator fills in ACME Outdoor's store details, four collection URLs, and three support pages. The tool instantly generates a spec-compliant llms.txt with a title, blockquote description, and markdown link sections for Pages, Collections, and Support, plus a richer llms-full.txt that adds collection descriptions so language models can answer 'what kind of packs do you sell?' accurately. Both files are downloadable with one click.

takeaway, A 5-minute form fill gives any Shopify store a machine-readable index that LLMs can cite accurately in product recommendations.

> when operators reach for this

  • Shopify operators who want ChatGPT and Perplexity to recommend their store accurately, adding an llms.txt takes under 5 minutes.
  • SEO leads running an AEO (Answer Engine Optimisation) audit who need to verify every important page and collection is discoverable by AI crawlers.
  • Agencies onboarding a new ecommerce client who include llms.txt generation as a deliverable in the technical SEO setup.
  • CMOs preparing for an AI-search world who want their brand description and product range to be quoted accurately by AI assistants.
  • Headless commerce developers wiring a programmatic llms.txt build step and using this tool to prototype the structure before automating it.

> the calculation

  • llms.txt structure# Name → > description → ## Section → markdown link list
  • llms-full.txtsame structure with 1–2 sentence descriptions per link

> related calculators, ai & llm visibility