Low Websites system

llms.txt AI Discovery Profile

A maintained /llms.txt profile that gives LLMs and AI answer engines a curated, plain-text map of the site — what the business does, the canonical service URLs, and key resources — generated from the same route and content config so it stays accurate as the site changes.

HMX Zone
TypeScript

Verified HMX-owned system

System facts

llms.txt AI Discovery Profile uses a web app route, data, and conversion layer for Full-Stack Websites. A maintained /llms.txt profile that gives LLMs and AI answer engines a curated, plain-text map of the site — what the business does, the canonical... The architecture connects the llms, next, typescript, and ai engines get an accurate with an explicit control path.

Outcome

AI engines get an accurate, curated entry point to the site, improving how the business is summarized and cited.

Main risk

The profile lists stale or dead URLs, misleading AI engines about the current site.

Prevention

Links are generated from the live route config and a CI link-check fails on any dead URL.

Fallback

If generation fails, serve the last committed static llms.txt so the endpoint never 404s.

System architecture

llms Architecture

6 nodes
the llms
Generate the file contents
Next
TypeScript
Fallback Path
AI engines get an accurate
  1. 01the llms

    A maintained /llms.txt profile that gives LLMs and AI answer engines a curated, plain-text map of the site — what the business does, the canonical...

  2. 02Generate the file contents

    Generate the file contents from the hub route config and published content rather than hand-writing links

  3. 03Next

    Next.js (route handler or public file) supports the route, form, or data boundary for llms so public UX and backend state stay connected.

  4. 04TypeScript

    Serve it at /llms.txt with a correct text/plain content type and sensible caching

  5. 05Fallback Path

    If generation fails, serve the last committed static llms.txt so the endpoint never 404s.

  6. 06AI engines get an accurate

    AI engines get an accurate, curated entry point to the site, improving how the business is summarized and cited.

2-3 days

How it is built

A maintained /llms.txt profile that gives LLMs and AI answer engines a curated, plain-text map of the site — what the business does, the canonical service URLs, and key resources — generated from the same route and content config so it stays accurate as the site changes.

  1. 01Define the llms.txt structure (summary, canonical service hub links, key pages, contact path)
  2. 02Generate the file contents from the hub route config and published content rather than hand-writing links
  3. 03Serve it at /llms.txt with a correct text/plain content type and sensible caching
  4. 04Add a check that every linked URL in llms.txt resolves to a live route during CI

Tools

Workflow surface

  • Next.js (route handler or public file)
  • TypeScript
  • route config
  • Experience layer: Define the llms.txt structure (summary, canonical service hub links, key pages, contact path)
  • Server layer: Generate the file contents from the hub route config and published content rather than hand-writing links
  • Database layer: Next.js (route handler or public file) supports the route, form, or data boundary for llms so public UX and backend state stay connected.
  • Automation layer: TypeScript handles routine steps while links are generated from the live route config and a CI link-check fails on any dead URL.
  • Measurement layer: AI engines get an accurate, curated entry point to the site, improving how the business is summarized and cited.

Data flow

  1. 01Define the llms.txt structure (summary, canonical service hub links, key pages, contact path)
  2. 02Generate the file contents from the hub route config and published content rather than hand-writing links
  3. 03Serve it at /llms.txt with a correct text/plain content type and sensible caching
  4. 04Add a check that every linked URL in llms.txt resolves to a live route during CI

Controls and fallbacks

  • The profile lists stale or dead URLs, misleading AI engines about the current site.
  • Links are generated from the live route config and a CI link-check fails on any dead URL.
  • If generation fails, serve the last committed static llms.txt so the endpoint never 404s.

System path inside the website build

Full-stack websites for service businesses and operators: route architecture, service pages, lead capture, metadata, proof boundaries, blog/database paths, analytics, and deployment checks.

Route map

Service architecture

Clear service routes

01active
Progress72%

Lead capture

Form and context flow

Lead capture that saves context

02active
Progress86%

Public metadata

SEO and schema layer

SEO and schema on public pages

03active
Progress64%

Launch QA

Analytics and deployment checks

Analytics events tied to CTAs

04active
Progress91%

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