Human site stays unchanged
No redesign required. ARW generates a parallel layer beside the existing site.
Agent Ready Web
Make your website readable for AI agents.
ARW scans your website and generates an official agent-ready layer: llms.txt, AI sitemap, Markdown/JSON pages and soon MCP tools.
Free MVP
Sitemap first
Run free AI audit
Start with a public website URL. ARW will crawl the site, generate the agent-ready layer, and return file previews plus audit signals.
Create an account to save audit history and manage websites.
Built for AI search, browser agents, LLM retrieval and future machine-native web flows.
Problem
Websites were built for humans. AI agents need structure.
Most websites depend on visual UI, JavaScript, navigation, forms and unstable HTML. AI agents can try to browse them, but this is slow, fragile and often wrong.
Human web: - navigation - buttons - layout - scripts Agent web: - stable paths - clean text - machine-readable files - explicit indexes
Solution
Create an official AI-readable layer for your website.
ARW turns public pages into structured files that AI agents can read reliably. Keep your human website as it is, and expose a cleaner layer for agents.
Machine-readable outputs
Use explicit files instead of fragile raw HTML scraping wherever possible.
Outputs
The files agents actually need.
llms.txt
Canonical AI-facing index for the site.
ai-sitemap.json
Structured listing of generated pages and paths.
Markdown pages
Clean page content for retrieval and summarization.
JSON pages
Structured page payloads for systems and agents.
AI readiness audit
Early scoring and issue reporting. Expanding over time.
Coming soonMCP / API tools
Future programmable interfaces for agent workflows.
Coming soon
How it works
Simple pipeline, explicit output.
Add your website
Start with the public domain you want to audit and export.
ARW crawls public pages
Sitemap first, crawler fallback, same-domain only.
We generate structured files
llms.txt, AI sitemap, Markdown, JSON and export package.
You review or publish
Preview outputs, export ZIP, and decide how to expose the layer.
Use cases
Built for structured public content.
SaaS docs
Expose guides, references and product surfaces more cleanly to AI systems.
Ecommerce
Turn product, pricing and catalog pages into more reliable machine-readable outputs.
Local services
Help agents understand services, locations, contacts and schedules.
Travel and schedules
Publish route, timing and booking-related content in a cleaner layer.
Marketplaces
Make listings and category pages easier to consume beyond visual UI.
Public information sites
Improve discoverability for machine-assisted research and retrieval.
Why now
The web is being used by people and by agents.
The web is starting to be used not only by people, but also by AI agents. Websites need machine-readable interfaces, not only visual interfaces.
- Search is becoming agent-mediated.
- Retrieval stacks prefer stable structured sources.
- Agents need explicit interfaces, not only rendered pages.
Example output
Small layer, explicit structure.
Generated outputs are designed to be legible for both developers and AI systems.
/llms.txt /ai-sitemap.json /pages/pricing.md /pages/pricing.json
Final CTA