Your website is about to need a tool surface, not just a nice homepage

We have spent years designing websites for people to click.

Menus. Buttons. Forms. Product grids. Chat widgets. Little animations nobody asked for. The whole thing assumes a human is sitting there, looking at the page, deciding what to do next.

That assumption is starting to wobble.

The next visitor to your website might not behave like a visitor at all. It might be a browser agent trying to compare products, check stock, book an appointment, fill a form, request a quote, update a page, or pull evidence for a buying decision.

That sounds futuristic until you look at what is already being built.

Google has been talking openly about the agentic web. Chrome’s WebMCP proposal is the cleanest signal so far. Instead of forcing an agent to behave like a tired intern clicking around a page, a site could expose structured tools. Functions. Forms. Actions. The stuff an agent can call directly.

That matters.

Because an AI agent clicking buttons like a human is a workaround. Sometimes a useful workaround, but still a workaround. It is brittle. It misses context. It breaks when the page changes. And it is a strange way to run a business process.

If an agent needs to book a room, submit a support request, check availability, get a product spec, compare prices, or create a draft page, it should not have to guess its way through your interface. The website should tell it what actions exist, what data those actions need, what permissions apply, and what happens next.

This is the part most of the AI content crowd is missing.

They are still stuck on “how do we rank in AI search?” and “how do we generate more posts?” Fine. Those questions matter. But they are not the whole game.

The bigger shift is that websites are becoming part of the machine interface for the business.

Readable content still matters. Clear positioning still matters. Good pages still matter. But the next layer is operability.

Can a machine understand what this business sells? Can it find the current price, availability, exclusions, location, delivery rules, return policy, warranty, proof, reviews, and support routes? Can it take a safe action without pretending to be a human? And can the business see what happened afterwards?

That last bit is where this either becomes useful infrastructure or a bin fire.

I was looking at two WordPress MCP tools this morning: Novamira and Respira. Both connect AI agents to WordPress, but they tell very different stories.

Novamira is powerful. It gives an agent broad WordPress access: PHP, files, database, WP-CLI, uploads, admin, builder context. Useful on a dev site. Dangerous on production unless you know exactly what you are doing.

Respira is less cowboy about it. It leans into snapshots, duplicate-first editing, approvals, rollback, builder-aware changes, and audit trails. In other words, it treats agent access as an operational risk to manage, not a party trick.

That distinction is the whole point.

Agent-ready does not mean “give the AI the keys and hope”.

It means designing access properly.

A useful agent surface needs a few boring things: clear data sources, structured actions, permission boundaries, human approval for risky steps, logs, rollback, ownership, testing, and a stop button.

Not sexy. Very necessary.

The same applies well beyond WordPress.

If you sell products, your product data is no longer just catalogue admin. It is the truth layer agents will use to compare and recommend you. If it is messy, inconsistent, thin, or trapped in images and JavaScript, expect machines to misunderstand you at scale.

If you sell services, your offer pages need to be clearer than most service pages are today. Not because Google needs another generic FAQ, but because an agent needs to understand what you do, who it is for, what it costs or depends on, what proof exists, and what action someone can take next.

If you run support, the question is not whether a chatbot can answer common questions. The better question is whether your support knowledge, order data, policies, escalation rules, and audit trail are clean enough for an agent to help without making a mess.

This is why I keep coming back to the same view of AI in marketing.

AI does not transform a company because it can make more content. It transforms the company when the commercial system becomes easier to operate. Faster to learn from. Safer to automate. Clearer to inspect.

That is a different agency model.

The old agency brief was: make us a better website. The current AI-slop brief is: make us more content. The useful next brief is: make our business easier for humans and agents to understand, trust, and act on.

That includes the visible layer: positioning, pages, copy, design, proof. It also includes the operating layer: feeds, schemas, APIs, MCP tools, CMS permissions, approval workflows, logs, rollback, source maps, review loops.

Most businesses are nowhere near this.

Their product pages disagree with their feeds. Their service pages are vague. Their contact forms go nowhere useful. Their CMS is a museum of half-updated plugins. Their knowledge base is three years out of date. Their proof is scattered across decks, emails, PDFs, and someone’s memory.

Then they ask why AI is not producing magic.

Because the business is not legible.

That is the commercial opportunity.

Not “we will make your site rank in ChatGPT”. That line already smells like SEO snake oil in a new jacket.

The better offer is simpler and harder to fake: we will make your website and commercial system agent-ready.

That means a human can understand it. A search engine can crawl it. A language model can cite it. A browser agent can act on it. Your team can see what changed. And if something goes wrong, you can recover.

That is not a trend deck. That is work.

It means auditing the boring stuff: product truth, structured content, forms, feeds, pages, internal docs, CMS access, analytics, review gates, and ownership. It means deciding which actions agents should be allowed to take and which ones need approval. It means separating dev and staging power tools from production-safe workflows. It means treating AI access like a real operational surface, not a demo.

The punchline is not that every small business needs WebMCP tomorrow. They do not. WebMCP is still experimental, and anyone telling you to bolt it on this week is selling something.

The punchline is that the direction is obvious now. Agents are moving from chat tabs into browsers, coding tools, CMSs, spreadsheets, support systems, and commercial workflows.

When that happens, the companies with clear, structured, permissioned systems will be easier to work with. The messy ones will not be made smarter by AI. They will just become easier to misunderstand, faster.

A nice homepage is still useful.

But it is no longer enough.

The next website needs to be a trusted surface for action.

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Jason Sibley is the founder of Cleo, a post-agency marketing and AI company. JasonVsTheNoise is where he writes about what is actually happening with AI, marketing, and how businesses should be thinking about both.