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How to Make Your Website AI-Agent Readable

May 5, 2026 /
How to Make Your Website AI-Agent Readable

An AI agent readable website serves normal human pages plus an agent-facing layer of structured context. Publish a curated llms.txt, a SKILL.md workflow, an OpenAPI contract, MCP endpoint metadata, and a .agent identity record so agents can understand, verify, and call the site with less guessing.

For HeadlessDomains.com, the goal is not to replace the website. Keep the website for people, then add machine-readable files that agents can fetch through command-line and API workflows. The .agent record gives the bundle a persistent identity anchor.

AI-Readable Publishing Stack

Layer Agent question Common file or surface Publish when
Human pages What does this site offer? HTML, canonical URLs, schema, clean headings Always; this is the public reading layer
Content map Which pages are worth fetching first? /llms.txt When the site has docs, policies, catalogs, APIs, hubs, or canonical explainers
Workflow playbook How should an agent complete a repeatable task? /SKILL.md When agents search, verify, register, update, order, renew, or support something
API contract Which HTTP endpoints can be called? /openapi.json or /openapi.yaml When the site exposes a callable API
Tool surface Which tools, resources, and prompts can be used? MCP server URL and metadata When agents can use tools or protected resources
Identity anchor Who operates this surface and which record is official? .agent record, agent.json, proof links, public profile When the site, agent, API, or tool will be referenced across systems

Start With Pages Agents Can Parse

AI-readable publishing starts with the same foundation people appreciate: stable URLs, semantic HTML, clear headings, descriptive anchor text, useful metadata, visible dates, and facts that are present in the initial page response. Keep critical product, policy, pricing, and support details in text instead of only in images, tabs, or scripts.

Serve the same truth in more than one format. Human pages can stay polished, while Markdown, JSON, OpenAPI, and MCP metadata give agents faster paths to the same canonical context.

Publish llms.txt as the Content Map

The llms.txt proposal describes a Markdown file at the site root that points language models toward concise, high-value resources. Use it as a curated map, not a dump of every URL. Include the homepage, product docs, policy pages, API docs, major hubs, important how-to pages, and machine-readable files.

A good llms.txt entry has a descriptive title, a full URL, and a short note. Keep optional or secondary resources in an optional section so an agent can stay brief when context is tight.

Publish SKILL.md as the Workflow Playbook

SKILL.md is useful when an agent should follow a repeatable process. OpenAI describes skills as reusable workflows with inputs, steps, output format, and final checks. A website can publish SKILL.md for actions such as searching inventory, preparing a quote, verifying endpoint ownership, registering a name, updating metadata, or opening a support case.

The file should be operational. Tell the agent what inputs to gather, which endpoints or pages to use, what not to do, what output to return, and which checks confirm completion.

Add OpenAPI and MCP When Agents Can Act

OpenAPI gives humans and software a standard interface description for HTTP APIs. Publish it when agents can call product, account, catalog, lookup, status, or support endpoints. Include auth requirements, parameters, response schemas, error states, rate limits, terms, and changelog links.

MCP adds a tool layer for agents. The protocol covers resources, prompts, and tools exposed by servers. If your site lets agents perform work through MCP, publish the endpoint, auth model, tool purpose, owner, risk notes, and support route from the same identity bundle.

Anchor the Bundle With .agent

A .agent identity turns scattered files into one inspectable record. The identity can point to llms.txt, SKILL.md, agent.json, OpenAPI, MCP, docs, terms, support, payment metadata, proof links, and a public profile. That gives agents and people one canonical route for verification before action.

Headless Domains are headless, so they do not depend on browser-native DNS behavior. HeadlessDomains.com and SkyInclude maintain the infrastructure agents use through command-line and API workflows.

Implementation Checklist

  • Audit the site for stable canonical URLs, semantic headings, descriptive links, and text-based facts.
  • Publish /llms.txt with curated links to docs, policies, products, APIs, blog hubs, and machine-readable files.
  • Publish /SKILL.md for any repeatable agent workflow.
  • Publish /.well-known/agent.json or link the manifest from the .agent identity record.
  • Publish /openapi.json or /openapi.yaml for callable HTTP APIs.
  • Publish MCP endpoint metadata when agents can connect to tools, resources, or prompts.
  • Add owner, operator, contact, support, auth, terms, update cadence, and proof links.
  • Test the files with direct fetches, JSON validation, Markdown rendering, and at least one agent workflow run.

Example Records

A compact identity bundle can start with plain records and become more detailed as the agent surface grows.

{"identity":"catalog.agent","operator":"Example Catalog Team","site":"https://example.com","llms_txt":"https://example.com/llms.txt","skill_md":"https://example.com/SKILL.md","agent_json":"https://example.com/.well-known/agent.json","openapi":"https://api.example.com/openapi.json","mcp":"https://api.example.com/mcp","status":"active"}

Where HeadlessDomains.com Fits

HeadlessDomains.com gives this publishing stack a durable identity surface. A .agent name can connect public identity, machine-readable context, endpoint metadata, and proof links so agents can inspect the source before trusting a page, API, tool, or payment flow.

Use the Agent Identity Stack hub with llms.txt vs SKILL.md vs agent.json and register a .agent identity when your site is ready to publish machine-readable context.

Internal Reading Path

Sources

FAQ

What makes a website AI-agent readable?

A website is AI-agent readable when agents can fetch clear human pages plus machine-readable context such as llms.txt, SKILL.md, agent.json, OpenAPI, MCP metadata, and proof links from stable URLs.

Is llms.txt enough by itself?

No. llms.txt is a useful content map, but it does not replace workflow instructions, identity records, API contracts, tool metadata, authorization, or public proof.

Where should SKILL.md live?

Publish SKILL.md at a stable URL, commonly /SKILL.md, and link it from llms.txt, agent.json, docs, and the .agent identity record.

How do OpenAPI and MCP fit together?

OpenAPI describes HTTP APIs. MCP exposes tools, resources, and prompts for agent clients. A site can publish both, then connect them to one identity record.

Why use a .agent identity?

A .agent identity gives agents and people a persistent inspection point for operator, files, endpoints, proof links, payment metadata, support, and lifecycle status.

Does FAQ schema create AI citations?

No schema guarantees AI citations. FAQ schema should match visible questions and answers. Google has limited FAQ rich results for most sites, so use schema for clarity and consistency.

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