AI Search Visibility

How Do You Design a Website for Both Humans and AI Agents?

Your website now has a second audience.

The first audience is still the human buyer. The second is the AI system that may summarize, compare, extract, shortlist, or act on that buyer's behalf.

That does not mean your website should become a machine-facing markdown dump. It means the old web brief is incomplete.

The real challenge now is this: how do you make a site easier for agents to interpret without flattening the brand for humans?


Why the brief changed

Google's May 2026 AI optimization guide is useful here because it strips away a lot of the noise. Google says that optimizing for generative AI search is still SEO, that unique and non-commodity content matters more than hacks, and that websites should ignore gimmicks like special AI files or forced chunking as a ranking trick.

More importantly for site structure, Google also says that generative AI responses can include local business details, products, and other operational data, and it explicitly points site owners toward clear technical structure, crawlable content, and business details that are easy for Google to use.

Then Google goes one step further. In the same guide, it says browser agents may gather information from screenshots, the DOM, and the accessibility tree in order to act on a user's behalf.

Analysis: that is the moment the website brief changes. Your website is no longer only a destination. It is also a source surface for machines acting for people.


What Google and web.dev are saying

web.dev's April 2026 guide on building agent-friendly websites makes the practical design case very clearly. It says many websites are beautiful for humans but functionally broken for agents because of shifting layouts, vague controls, and weak semantic structure.

That is not a fringe concern anymore. TechRadar's June 13 interview with WordPress VIP CTO Brian Alvey pushes the business framing further: websites now have "an actual second audience," and the companies that can serve both human and agent audiences will be the ones that survive.

I think that framing is directionally right, but it needs a correction for smaller expert-led businesses: serving agents does not mean building a second, ugly website for bots. It means making the important parts of the site easier to interpret while protecting the brand cues that make humans remember and trust you.

Bad interpretation

Strip the site down to generic blocks, flatten the voice, and optimize for machine legibility at the cost of identity.

Useful interpretation

Keep the brand distinctive, but make structure, actions, proof, and page purpose easier for both humans and agents to understand.


Where websites break for one audience or the other

I see two common failure modes.

1. Human-nice, agent-hostile

These sites look polished, but they rely on ambiguity. Buttons are clever instead of explicit. Offer definitions are buried under positioning copy. Layout shifts, overlays, and ornamental interaction patterns hide the actual path forward.

A human may still brute-force their way through. An agent may not.

2. Machine-clear, brand-dead

These sites overcorrect. They become structurally readable but visually and verbally interchangeable. This is the same blanding problem already showing up across AI-assisted design.

Creative Bloq's June 6 feature on everything looking the same and Design Week's June 5 piece on the rise of blanding both point to the same risk: brands start optimizing for systems and lose the personality that makes humans care.

In practice, both failure modes lose. One is hard to use. The other is easy to ignore.


The dual-audience website brief

If I were writing the brief for a service business website now, it would include six rules.

  1. Make page purpose obvious in the first screen. A buyer or agent should understand what the page is for, who it is for, and what action it supports without guessing.
  2. Name actions literally. "Book free call," "See systems," and "Get pricing" are better than soft, generic labels.
  3. Put proof near claims. Case studies, system pages, process notes, screenshots, and founder credentials should sit close to promises.
  4. Use semantic, stable interaction patterns. Buttons should be buttons. Labels should be attached to fields. Layout shifts and ghost overlays should not interfere with core actions.
  5. Keep the brand visually ownable. Typography, tone, composition, and visual rhythm should still feel specific to the business rather than default AI-site styling.
  6. Support the page with internal context. Service pages should link to related systems, field notes, resources, and authority pages so the site explains itself more completely.

Notice what is missing from that list: no fake AEO magic, no separate AI copy style, no special schema invented for generative search.

The official guidance is much less exciting than the hype market wants it to be. It is mostly structure, clarity, proof, and originality.


What this means for service sites

For consultant, studio, and agency-style websites, the practical consequence is simple: the service page is becoming a more operational artifact.

It is not just a brochure page. It is a page that may be read by:

  • a human scanning for fit;
  • an AI system comparing vendors;
  • a model pulling supporting facts into an answer;
  • an agent trying to decide whether the next step is clear enough to take.

That raises the value of pages that answer directly, define scope plainly, show proof early, and still feel like a real brand rather than a generic template.

This is also why I do not treat AI-assisted web design as a speed-only service. The better brief is: build a site that is clearer for machines and more memorable for humans.

CTA: If your current website feels polished but vague, or clear but generic, the fix is not more content. It is a better page brief. That is where brand strategy, service architecture, and AI-aware web design finally meet.


Sources

Common questions

How do you design a website for both humans and AI agents?
Start with the same fundamentals that already make a strong site: clear structure, semantic actions, explicit labels, strong proof, and a page purpose that is obvious fast. Then make sure the brand still feels specific and memorable instead of defaulting to generic AI-site aesthetics.
Does an agent-friendly website have to look plain?
No. Agent-friendly does not mean visually bland. It means the important actions, labels, and relationships are easier to interpret structurally while the visual system stays distinctive for humans.
What should a service business fix first?
Clarify the offer, place proof near the claim, make the next step explicit, and remove ambiguous interface patterns that make comparison or contact harder for both buyers and agents.
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