There's a new user in town and it's shaking up the way we've been building websites for the last 20 years. We've done some digging to understand what agentic AI means for your website and how human beings are still central to the experience.
What is Agentic AI and why does it matter?
A new kind of web user is emerging – not a person, but an agentic AI. In simple terms, this refers to autonomous digital agents powered by artificial intelligence that can perceive, reason, and act on the web to achieve goals . Unlike traditional assistants that respond to single prompts, these agents proactively plan and execute multi-step tasks. Researchers call this the rise of the “Agentic Web”: your future browser may become an agent browser, capable of planning a trip, checking prices, booking hotels, and building an itinerary without you clicking around .
This is not hypothetical. One analysis found 63% of websites already receive visits from AI tools, with smaller brands often seeing a greater share of traffic from AI than larger ones . Generative search engines summarise results directly in the page, and nearly 60% of searches may now end with no click at all because the AI provided the answer . But there’s upside: when people do click through after an AI summary, they tend to be highly informed and convert at much higher rates. In one study, AI-referred visitors converted four times better than standard search visitors .
The implication is clear: AI agents are becoming the new gatekeepers of digital traffic. Your website is increasingly being read by machines that decide what human users see.
Humans remain central to the web experience
While this may sound like machines are taking over, it’s vital to recognise that humans remain at the centre of online experiences. Agentic AI exists to serve human intent. People still set the goals (“book me the cheapest flight to London tomorrow”) and make the final decisions. As Microsoft describes it, the Agentic Web is about AI agents making decisions and performing tasks on behalf of users or organisations, not replacing them.
This means two things:
- AI agents may surface your site but people still experience your brand. If the journey is confusing or inaccessible, they will leave.
- Designing for humans and designing for AI are not mutually exclusive. In fact, the practices that make sites usable, accessible, and trustworthy for people also make them legible and reliable for AI.
Human-centred design is AI-friendly design
1. Clear user journeys and interactions
User-friendly journeys are the backbone of both human and AI success. If people can’t easily achieve their goals on your site, neither can an AI agent acting on their behalf.
AI agents need clarity just as much as human users. Obvious calls-to-action (“Book a demo”, “Download the guide”) benefit both. Simplified, accessible forms with labelled fields and helpful error messages increase conversion rates for people and success rates for AI completing tasks.
Think of AI as a very literal user. If your interaction design guides them smoothly through tasks, you’ll be serving both audiences effectively.
2. Good accessibility
Accessibility has always been about clarity, semantics, and inclusivity. The same practices make your content easier for AI to parse. Using semantic HTML (<header>, <main>, <article>, <nav>) gives your pages meaningful structure that machines can interpret . Headings in logical order, properly labelled forms, descriptive link text, and alt text for images are essential for screen readers and equally essential for AI agents.
If your site is confusing for a human, especially one using assistive technology, it will also be confusing for an autonomous agent.
3. Structured data and machine-readable formats
Where HTML provides structure, schema markup (Schema.org) provides meaning. Adding schema to describe articles, products, reviews, events, or services allows AI agents to extract key facts without guesswork . Both Microsoft and Google have confirmed that structured data improves how their AI systems interpret content.
Where real-time data matters – inventory, pricing, bookings – consider offering APIs or data feeds. Rather than crawling pages, AI agents can query endpoints directly, retrieving clean JSON or XML data . This isn’t just machine-optimisation: APIs also serve human developers, partners, and integrations.
4. Performance and technical hygiene
Performance has long been key to usability. Now, it’s also critical for AI. No one likes a slow site. Some AI agents will time out if a page doesn’t load within seconds, skipping your content entirely . Speed, responsiveness, and mobile optimisation have long been ranking factors for SEO and they’re equally critical for AI.
Ensure your site:
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Loads quickly (<2–3 seconds).
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Serves core content without requiring scripts or multiple interactions.
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Uses responsive design with proper viewport tags.
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Offers clean URLs and up-to-date sitemaps for discoverability .
5. Trust and transparency
People rely on cues like design polish and testimonials. AI agents rely on hard signals: factual consistency, HTTPS, uptime, author attribution, and schema for reviews or ratings .
Inconsistent or outdated data can reduce your credibility in algorithmic evaluations. By contrast, accurate, current, and verifiable information – especially when marked up in structured data – increases the likelihood of AI agents surfacing your content. Trust signals like privacy policies, security badges, and third-party endorsements help humans feel confident and give machines the structured evidence they need to recommend you.
Practical steps for website owners
To prepare your site for the agentic AI era, focus on strengthening human-centred best practice and layering in technical clarity.
- Conduct regular user research. Test your site with real users to uncover pain points. Insights from usability studies or accessibility testing highlight friction that will hinder both people and AI.
- Map and optimise user journeys. Ensure core tasks (finding information, buying, booking, signing up) are clear and frictionless. AI agents will struggle if humans already do.
- Use semantic HTML. Proper headings, sections, labels, and alt text make your content legible to machines and accessible to all people.
- Implement structured data. Add Schema.org markup for products, services, reviews, articles, and other key content.
- Offer APIs or feeds where real-time or structured data is crucial (pricing, inventory, availability).
- Optimise for performance. Fast, responsive sites improve user satisfaction and prevent AI timeouts.
- Keep content accurate and consistent. Outdated or contradictory information damages credibility with both audiences.
- Display trust signals clearly. Author attribution, transparent policies, reviews, and security features reassure humans and machines alike.
The human-centred web in an AI era
Agentic AI is not a replacement for people but an amplifier of good practice. A site with clear content, accessible structure, and transparent data will not only delight human users but also thrive in AI-mediated contexts. A confusing, inaccessible site risks being overlooked by both.
Across industries, the path forward is the same: double down on accessibility, usability, clarity, and trustworthiness. These principles were always the right approach – AI just makes them non-negotiable.
The best way to prepare your website for agentic AI is to make it excellent for humans. Optimising for people and optimising for AI are two sides of the same coin. By serving your users first, you’ll ensure your content is also ready for the autonomous agents that increasingly act on their behalf.