Is Your Website Ready for AI Agents? Meet the Visitor That Never Clicks

Agentic search is when an AI assistant does the searching for a buyer. It reads websites, compares options and comes back with a shortlist, and sometimes it takes the next step too. So the visitor reading your website might not be a person at all. That visitor doesn't care how your site looks. It cares whether it can find clear facts.

This is already happening. Here's what these agents look for, why vague marketing copy fails them, and what to check on your own site.

The new visitor on your website

For more than twenty years, websites were built for two audiences: people, and Google's crawler. A third has arrived.

AI agents can now browse the web on someone's behalf. Google added auto browse to Gemini in Chrome in January 2026, so the browser itself can carry out tasks across websites. Perplexity launched its Comet browser in July 2025, and Anthropic made Claude in Chrome generally available in August 2026. Ask one of them to find three growth agencies that work with $5m businesses and compare how they price, and it will go and read the websites itself.

The trend is steep. HUMAN Security's 2026 benchmark report, covering traffic across its network in 2025, recorded 7,851% year-on-year growth in agentic AI traffic. That growth is from a small base, but the direction is clear. Buyers are using AI to make decisions too: Gartner found 45% of B2B buyers had used AI during a recent purchase.

What an AI agent looks for

An agent reads your website the way a sharp, impatient analyst would. It wants facts it can rely on and repeat.

Clear facts, in plain text

What you do, who you do it for, where you work, how pricing works and how to get started. If those answers are buried in slogans or locked inside images, an agent can't use them. Google's own guidance on AI features in Search says to keep important content in text form.

Consistent details everywhere

Your business name, address, services, people and prices should match across your website, Google Business Profile, LinkedIn and directories. When details conflict, an agent has to guess, and it may simply choose a competitor whose facts line up.

A structure machines can follow

Clear headings, one main topic per page, properly labelled buttons and forms that work without tricks. Many agents read the underlying structure of a page, not just what's on screen. A "Get started" button that is really an unlabelled image can be invisible to them.

Structured data that matches the page

Schema markup describes your organisation, services and FAQs in a format machines read easily. Google is clear that no special schema is needed to appear in AI Overviews or AI Mode, and that structured data should match what's visible on the page. Treat it as a precise statement of facts you already show, not a shortcut.

Pages it is allowed to read

Check that your robots.txt file, security settings or CDN aren't blocking legitimate crawlers by accident. If a search engine or agent can't reach a page, it can't recommend you from it.

Why vague marketing copy fails

Take a typical home page headline: "Empowering businesses to unlock their full potential." A person might skim past it. An AI agent trying to answer "Do they do this for businesses like mine?" gets nothing it can use.

Mal Jack has been saying it for a while: "Marketing will be seen right through by AI." He describes agents going straight through the noise into what you actually do. The businesses that get recommended will be the ones whose websites state plainly what they do, who they do it for, and what evidence backs it up.

That's good news for any business with real substance. And buyers check the facts as well: TrustRadius's 2026 B2B Buying Disconnect report found 94% of buyers verify AI-generated research before relying on it. Whatever an agent finds on your site has to hold up when a person checks it.

A six-point AI-readiness check

Run through this on your home page and main service pages:

1. Can someone answer "what do you do, for whom, and where?" from the first screen of text?
2. Is pricing, or at least how pricing works, explained in words on the page?
3. Do your business details match across your website, Google Business Profile and LinkedIn?
4. Are key facts in page text, rather than locked in images, PDFs or videos without transcripts?
5. Do buttons and forms have clear labels, and do they work on mobile?
6. Is your structured data accurate and consistent with the page, and are crawlers allowed in?

If you answer no to two or more, agents are probably already struggling with your site.

Pictures and video still count

Agents don't ignore images and video, but they rely on words to understand them. Descriptive alt text, captions and transcripts turn a strong case study video into facts a machine can read. This is where Storyhouse, our creative team, works hand in hand with search: words, pictures and video made to be understood by people and machines alike.

One search stack, not three projects

SEO, AI search and agentic search aren't separate projects. They reward the same thing: a website that is clear, consistent, fast and factual. Our core team works across all three together, which is why we treat search as one full stack.

It all sits inside a Growth System. DigitalArchitect® comes first, benchmarking where your business sits against competitors across traditional search, answer engines and AI search, so you know where an agent is likely to pick someone else. Our senior people then decide what to fix, in what order.

If your website needs more than a tune-up, tomorrow's guide, Rebuild or Optimise? A Decision Guide Before You Spend $30k on a New Website, will help you decide. Next week we go deeper into the full search stack, starting with Agentic Search: When an AI Shortlists Your Suppliers, Will You Make the List?