Make your website agent-ready
AI assistants already answer, recommend and buy for their users. They can only do it on sites they can read. Here are the six surfaces an agent-ready website exposes — and how to ship all of them at once.
What is an agent-ready website?
An agent-ready website is a site that AI agents can read and act on reliably. Your pages are built for human eyes; an agent needs contracts — what the site does, which tools exist, what they take and return. An agent-ready site publishes that machine layer alongside the human one: discovery files like llms.txt and agent.json, callable tools over MCP and WebMCP, and a chat endpoint that answers agents in structured JSON.
The distinction matters because the audience has already split. Humans still browse; a growing share of their assistants ask, compare and act on their behalf. A site that only serves eyes is absent from every answer those assistants give.
The six surfaces of an agent-ready site
Each one is a file or an endpoint you can check on any site — including yours, right now.
llms.txt — the machine summary
A plain-text file at the root that tells a language model what the site is, what it sells and where the important pages are. Agents read it before anything else, the way crawlers read robots.txt.
agent.json — the identity card
An A2A card at /.well-known/agent.json declaring who the site’s agent is and what it can do. It is how one agent decides whether another is worth talking to.
MCP — callable tools
An mcp.json manifest pointing to tools an outside agent can actually call: ask a question, check availability, request a quote. Not scraped guesses — declared contracts.
WebMCP — tools inside the page
Tools registered in the browser itself, so an agent operating the visitor’s browser acts through a declared contract instead of guessing which button to click.
A chat endpoint that speaks JSON
When a caller identifies as an agent (X-Agent-Model header), the site’s agent answers with a structured JSON envelope instead of prose. Same capability, second audience.
JSON-LD + robots.txt — welcome signals
Structured entities for the crawlers that feed AI answers, and a robots policy that lets the legitimate AI fetchers in instead of blocking the audience you want.
Shipped in one install, kept in sync
You can write each of these files by hand. The problem is not writing them — it is keeping them true as the site changes. With Animam, the machine surface ships with the agent: one install package delivers llms.txt, agent.json, mcp.json, WebMCP tools, JSON-LD, robots.txt directives, the widget and more in a single API call, generated from what the agent actually knows and does. On WordPress, the plugin does the same from wp-admin.
Agencies: make your clients agent-ready
If you build or run websites for clients, agent-readiness is an outcome you can resell. Every agent you deploy carries the full machine surface with it — under your brand if you white-label — and your client’s site becomes legible to the assistants their customers already use. One bot per client, one key to drive the fleet.
FAQ
What is an agent-ready website?
An agent-ready website is a site that AI agents can read and act on reliably. Beyond pages designed for human eyes, it publishes machine surfaces — an llms.txt summary, an agent.json identity card, MCP and WebMCP tool contracts, a chat endpoint that answers agents in structured JSON — so an assistant like ChatGPT or Claude can understand what the site offers and act on it for its user.
Why does it matter now?
A growing share of discovery happens inside AI assistants: people ask ChatGPT, Claude or Perplexity instead of clicking ten results. Those assistants can only recommend and act on what they can read. A site with no machine surface is invisible to that audience — not penalized, simply absent.
How do I check whether my site is agent-ready?
Look for the artifacts: does https://yoursite.com/llms.txt exist? Does /.well-known/agent.json answer? Is there an MCP manifest? Does anything on the site expose declared tools rather than just pages? If the answer is no across the board, agents visiting your site are reduced to scraping HTML built for human eyes.
Do I need to code to make my site agent-ready?
No. With Animam, one install ships the whole surface: the install package returns llms.txt, agent.json, mcp.json, WebMCP tools, JSON-LD, robots.txt directives and the widget in a single API call — and the WordPress plugin does the same from wp-admin. Writing each file by hand works too; it is just slower and drifts out of date.
Is this the same thing as SEO?
It is the next layer. SEO makes pages rank in a list of links; agent-readiness makes the site legible and operable to the assistants that answer directly. The two share fundamentals — clear structure, truthful content — but an agent needs contracts (which tools exist, what they return), not keywords.
Can I make my clients’ sites agent-ready?
Yes — that is the agency model. Every bot you deploy for a client ships the full machine surface with it, under your brand if you white-label. You resell agent-readiness as an outcome, without building the infrastructure yourself.