AI isn’t just another feature bolted onto the web. It’s quickly becoming the way people get things done online.
Instead of clicking through to pages themselves, users are starting to rely on AI agents to do the work for them, whether it is booking trips, filling out forms, comparing options, submitting requests. That shift creates a new challenge for developers and AEO/SEOs: how do we make sure websites can work cleanly and reliably with these agents?
That’s where WebMCP comes in. This is an open standard jointly developed by Google and Microsoft.
Why this matters: websites aren’t just for humans anymore
Most websites today are built around one assumption: a human is on the other end, reading screens and clicking buttons. AI agents don’t work that way. They don’t “see” your layout. They don’t guess what a button means. And scraping HTML to figure it out is slow, fragile, and error-prone.
If agents are going to act on behalf of users, they need clear instructions, not visual cues. WebMCP (Web Model Context Protocol) is a way for your website to clearly say:
- What actions it supports
- How those actions should be used
- What’s allowed, and what isn’t
This means that instead of forcing AI to reverse engineer your site, you describe how to interact with it directly.
What WebMCP actually does (without the jargon)
At its core, WebMCP gives you a structured way to expose your site’s capabilities to AI agents. It comes in two simple types:
- Declarative API: This covers the basics. Things like search, sign-ups, bookings, or form submissions. You define these actions in a straightforward, familiar way; often in your HTML.
- Imperative API: This is for more complex interactions where logic, conditions or dynamic flows matter. It gives you flexibility without giving up control.
Together, these two types of API let your website behave less like a collection of pages and more like a set of well-defined tools.
The real challenge for businesses
This isn’t about chasing trends or rewriting everything you’ve built. It’s about making a choice. AI agents will interact with your site. The question is whether you define that interaction clearly and safely, or you leave agents to guess how things work.
By adopting WebMCP, you:
- Make your site easier for AI to use correctly
- Reduce errors and unexpected behaviour
- Stay in control of how automation touches your business
The starting point is always good design
In Equimedia’s experience, good UX and SEO are also good for agentic AI. AI agents tend to fail on the same pages humans struggle with; those that are poorly designed and hard-to-use. Schema markup doesn’t magically make a bad website “SEO-friendly,” and WebMCP won’t magically make a bad website “agentic AI–friendly” either.
A simple call to action
If your website helps people do something e.g. book, buy, submit, request or retrieve, then it’s a candidate for being agent-ready. WebMCP is an opportunity to prepare now, while the rules are still being written. It is just a sensible step toward a web where humans and AI systems work together more cleanly.
The challenge is simple: Don’t just build for browsers. Build for agents, too.
And while we are on that subject, Cloudflare have recently introduced markdown for agents. Actioned through a simple switch in the Cloudflare interface it takes your HTML code and simplifies it for AI Agents, also helping to make your site more accessible for AI.
Why not talk to our web development team about how we future proof websites fit for purpose today and for the AI future? Please get in touch!
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| Author | Ross Britton |
| Channel | SEM |