How to Make Your Website AI-Agent Ready
AI assistants like Claude and ChatGPT are browsing the web on behalf of users. This guide covers how to give them a structured way to act on your site, not just read it.
The problem: AI agents can read but not act
When an AI assistant browses a website today, it sees raw HTML, the same text a search engine crawler sees. It can read your product descriptions, your pricing, your blog posts. But when a user asks it to do something, add an item to a cart, submit a contact form, search your catalogue, it has to guess.
That guessing looks like: finding a button that says "Add to Cart", simulating a click, hoping the selector doesn't change next week. It's fragile by design. And for most sites, it simply doesn't work reliably.
The question isn't whether AI agents will interact with websites. They already do. The question is whether your site gives them a reliable, structured way to do it.
The solution: WebMCP
WebMCP is a browser API standard, introduced by Google in Chrome, that lets you explicitly declare what actions are available on your page. Instead of an AI guessing what your "Add to Cart" button does, you tell it directly:
{
name: "addToCart",
description: "Add a product to the shopping cart by product ID",
inputSchema: {
productId: { type: "string" },
quantity: { type: "number" }
}
}When a WebMCP-compatible AI agent visits your page, it reads this declaration and knows exactly what it can do. No guessing, no fragile selectors, no breaking on redesigns.
How to do it in 5 steps
Sign up and add your site
Create a free Aigentably account and add your website's URL. You'll get a unique public site ID that identifies your tool configuration.
Paste one script tag
Copy the snippet from your dashboard and add it to every page where you want AI tools available, just before the closing </body> tag. No build step, no npm install.
Define your tools
In the dashboard, describe what actions AI agents can take. Give each tool a name, a description the AI reads, and an input schema. Use 42 pre-built templates or generate suggestions from your URL with AI.
Test before you ship
Use the built-in test runner to execute any tool on your real site. You see the result live in the browser before any AI agent ever touches it.
Watch the analytics
Once live, the dashboard shows which AI agents are calling your tools, call volumes, success rates, and latency. AI traffic is visible from day one.
What kinds of tools should you define?
Think about the most common actions a user, or an AI assistant acting for a user, would want to take on each type of page. Here are examples by category:
E-commerce
Navigation
Forms
Account
Why now?
WebMCP is still early. Chrome 146+ has native support in preview, and the polyfill covers all other browsers. But the direction is clear enough. Every major AI assistant is adding browser capabilities. ChatGPT already browses. Claude has a computer use mode. Perplexity answers with live web data.
SEO is a useful reference point: it gave website owners a way to communicate structure and intent directly to crawlers. Sites that invested early got years of compounding advantage because the format was stable and crawlers rewarded it. WebMCP follows the same logic for AI agents.
Sites that expose clear, reliable tools will be the ones AI agents use and return to. Sites that don't will be scraped badly, or skipped.
The quick version
AI agents already visit your website. Give them a structured way to act, not just read.
WebMCP lets you declare exactly what actions are available on each page.
Aigentably handles the infrastructure: one script tag, define tools in the dashboard.
Setup takes under 5 minutes. No backend changes, no build step.
The standard is moving fast. Sites that adopt early will have working integrations when others are still catching up.
Make your site agent-ready
One script tag. Define your tools in the dashboard. Under 5 minutes, no backend required.
Get started free