Building Websites for Humans & AI Agents: You CAN Do Both

For decades, website development has centered on a straightforward question: How do we make this digital experience better for people?

That question is still as important as ever. But it is no longer the only question that development teams need to ask.

With the rapid proliferation of AI, websites now have a second audience: AI agents. Large language models (LLMs), AI assistants, autonomous agents, traditional search platforms, and other machine-driven systems are accessing digital content to help their intelligent agents answer questions, compare options, retrieve information, and, increasingly, help users complete tasks.

That evolution has led some businesses to believe they face a choice. Should they optimize websites for human experiences or make them easier for AI systems to understand?

Here’s the good news: Today’s websites and other digital assets can (and should!) do both.

At Americaneagle.com, we have built complex, high-performance digital experiences with clients across three decades. In every major technology shift we’ve seen, the fundamentals of excellent website development have remained largely consistent.

In fact, many of the characteristics that make a website excellent for people also make it easier for modern machines and systems to interpret.

Now is the time to strengthen the fundamentals of excellent design for both humans and AI agents. On top of that, smart businesses are also identifying, testing, and introducing specific strategies that can uniquely optimize experiences for one or the other.

Websites for Humans and Agents: Start with the Fundamentals That Benefit Both

There is a tendency whenever a new technology emerges to begin chasing every new technical tactic. That can be dangerously shortsighted.

Before implementing specialized solutions for AI agents, businesses should make sure their websites are built on a strong foundation. Many longstanding web development best practices are becoming even more important, not less important, in today’s agentic environment.

Semantic Website Structure

Semantic HTML is the practice of using HTML elements to describe the intended meaning and purpose of content. Clean, semantic HTML helps browsers, assistive technologies, search engines, developers, and AI systems better understand the purpose of website content. It helps both humans and agents.

Headings should establish a meaningful hierarchy. Navigation should be structured logically. Buttons should be obvious and behave like buttons, when selected. Semantic lists go beyond bulleted text elements, explicitly defining programmatic meaning and grouped content to browsers, search engines, and assistive technologies. For example, semantic HTML logically structures data with <form>, <table>, and <article> tags rather than relying on generic, non-semantic layout tags like <div> or <span>.

Semantic website structure is already an accessibility and maintainability best practice. It also creates additional context that machines can use when interpreting a page. Good structure helps humans navigate information as well as helping machines understand it.

Clear Content Hierarchy

People rarely read every word of a webpage from beginning to end. That has been true since the dawn of the internet. They scan headings, labels, calls to action, bullets, images, and other visual cues to quickly determine whether information is relevant to them.

Agents also benefit in similar ways from well-organized website information with clear hierarchy.

Pages should have a clear purpose, descriptive headings, focused sections, understandable terminology, and logical relationships between related topics.

Headings should use an H1 tag for the main page title that communicates the core topic. H2 and H3 tags should be used for subheadings and smaller sections in a nested, logical order.

Keep text styles and sizes consistent across pages throughout your website so that users learn your pattern.

Fast Website Performance

Page speed has been an important part of digital experience development for years. Users don't want to wait for pages, search results, account information, or ecommerce functionality to load. Neither do automated systems.

Complicated frontend implementations, unnecessary JavaScript, inefficient APIs, poorly optimized media, and slow server responses can create barriers regardless of who (or what) is attempting to access information.

Performance-first development benefits usability, accessibility, SEO, conversion, scalability, and AI agent accessibility at the same time.

Accessibility

Accessibility is another example of an established best practice becoming increasingly relevant in an AI-driven web.

Semantic markup, descriptive labels, logical reading order, accessible forms, clear link text, keyboard functionality, meaningful alternative text, and properly communicated interface states help people using assistive technology.

Many of those same practices also make the underlying purpose and structure of a digital experience clearer to machines.

Accessibility is already a legal requirement for many websites and a UX imperative for inclusively serving people with disabilities. The additional machine-readability benefits simply reinforce the value of getting these fundamentals right.

High-Quality, Understandable Content

Content should answer questions clearly.

This sounds simple, but many websites bury valuable information beneath marketing language, duplicate similar content across numerous pages, use inconsistent terminology, or fail to explain important details completely.

Humans become frustrated. Machines become uncertain.

Organizations should create content that clearly identifies subjects, answers important questions, uses consistent terminology, provides supporting detail, and establishes relationships between concepts.

Strong content strategy is becoming an increasingly important component of technical website strategy.

Reliable Data & Integrations

A beautiful website cannot compensate for unreliable information.

Product availability, pricing, account information, store locations, service details, event schedules, technical specifications, and other business data must be accurate and current.

As AI agents become capable of doing more than simply retrieving content, the quality of the systems behind a website becomes even more important.

An agent helping a customer find a product is only useful if the inventory data is correct. An agent comparing services needs accurate service information. An agent assisting with an order needs reliable pricing, customer, payment, and fulfillment integrations.

This is why modern website development has to consider the entire digital ecosystem, not just the user interface.

How to Build Better Website Experiences for Humans

Shared fundamentals provide the foundation. From there, development teams can optimize specific elements for human visitors.

Design for Understanding, Not Just Appearance

Strong website design communicates efficiently with both its written words and visual elements. Intentional and logical visual hierarchy helps users recognize what matters most. Smart typography selections improve readability and branding. Spacing can effectively separate clear concepts. Images can quickly communicate, illustrate, and amplify ideas. Clear calls to action guide intuitive next steps.

Thoughtful branding and design are essential to the success of every digital asset. Effective user experience (UX) design goes beyond making a site attractive. Every interface decision should help someone understand where they are, what they can do, and what should happen next.

Create Intuitive User Journeys

Human visitors rarely think about a website's architecture. They simply know when finding something feels easy or difficult.

Information architecture, menus, internal search, filtering, breadcrumbs, related content, calls to action, and contextual navigation should work together to move people toward their goals. Effective user journeys eliminate friction for high-intent users, which helps support higher conversion rates.

Development teams should test actual human tasks rather than individual pages.

• Can someone find the right replacement part?
• Can a customer reorder a previous purchase?
• Can a prospect understand the difference between two services?
• Can an employee find the correct document?

A technically functional experience is not automatically an intuitive one for your users.

Optimize Interactions for Real People

Humans make mistakes. They change their minds. They overlook instructions. They use mobile devices with one hand. They encounter poor connections. They zoom screens. They abandon forms and return later. Good development anticipates that reality.

Helpful validation, understandable error messages, saved progress, forgiving search, responsive layouts, large interaction targets, consistent interface patterns, and immediate feedback can dramatically improve human usability.

Test with Humans

Analytics are important. Automated testing is extremely efficient. And AI-assisted testing is increasingly useful. But none of them completely replace observing people using a digital product.

User research and usability testing can uncover confusion, hesitation, unmet expectations, and behavioral patterns that technical monitoring cannot.

Simply put, building excellent websites for real people requires testing usability with real people.

How to Build Better Website Experiences for AI Agents

Optimizing for AI agents requires some different considerations.

The goal is not to create a second, invisible website for machines. It is to make the information, relationships, functionality, and authority within the existing digital ecosystem easier for automated systems to understand and access appropriately.

Make Information Machine-Readable

Agents are not impressed with, or influenced by, an attractive presentation.

For agent success, all content should be represented clearly within the underlying markup, not forgotten or trapped inside complicated visual components.

Development teams should evaluate whether important information is available in predictable HTML, whether dynamically rendered content remains accessible, and whether unnecessary technical complexity prevents systems from retrieving meaningful content.

Implement Structured Data

Structured data, often in the form of schema markup, provides machines with explicit context about website information.

Schema markup can help agents identify entities such as:

• Organizations
• Products
• Offers
• Articles
• Events
• Locations
• FAQs
• Reviews
• People
• Services

Structured data has long supported search optimization. In an environment where AI systems need to understand relationships between entities and attributes, maintaining accurate structured information becomes even more valuable.

Importantly, structured data should accurately reflect visible website content. It is not a substitute for clear pages that communicate similar, high-quality information in a human-centered fashion.

Create Stable, Descriptive URLs

A durable information architecture helps machines establish relationships between content. Pages should use predictable URLs, sensible canonicalization, appropriate redirects, accurate status codes, and thoughtful handling of any duplicate content.

Constantly changing URLs, creating multiple versions of the same information, or allowing outdated pages to persist indefinitely can make a digital ecosystem harder to interpret. The same practices that make websites more maintainable and search-friendly can improve their usefulness to agents.

Make Important Information Explicit

Humans are very good at inference. An experienced buyer may understand that a particular specification applies to every product in a category even when the website never clearly says so.

Machines may not make the same assumption. Or worse, they may make the wrong one. Important information should be explicit.

That includes product attributes, service areas, business policies, pricing conditions, availability, compatibility, qualifications, dates, locations, relationships, and restrictions.

Provide Clear Signals of Freshness & Authority

Agents need ways to evaluate which information should be trusted. Businesses can help by maintaining current content, identifying authorship when appropriate, using accurate publication and modification dates, consolidating duplicate information, linking logically between related resources, and removing obsolete content when it no longer provides value.

Consistent and well-maintained content governance, which includes many of the considerations made for humans in the preceding paragraph, is also becoming an important technical requirement for AI visibility, not simply an editorial responsibility.

Think Beyond Pages to APIs & Actions

The next phase of the agentic web goes beyond helping AI systems read websites.

Agents will increasingly be expected to do things.

For some organizations, that means development teams should consider whether important business capabilities can be safely exposed through structured APIs or other agent-accessible interfaces.

Depending on the business, those actions might include:

• Searching a product catalog
• Checking availability
• Retrieving an order
• Requesting a quote
• Scheduling an appointment
• Finding a location
• Configuring a product
• Accessing customer-specific information
• Initiating a transaction

The goal should not be to expose every system indiscriminately. Agent-facing capabilities require careful architecture around authentication, authorization, privacy, validation, rate limiting, monitoring, and security.

But organizations should begin thinking about their website not only as a collection of pages, but also as an interface to useful business capabilities.

Don't Chase Every New AI Optimization Tactic

The rapid evolution of AI inevitably creates a stream of new recommendations, standards, files, protocols, tools, and supposed ranking factors.

Some will become important. Others won't.

Organizations should evaluate emerging practices, but they should resist rebuilding digital strategies around every new development before its value is established.

For example, new approaches intended specifically to communicate with LLMs and agents may be worth testing. They should not replace, but complement foundational investments in semantic HTML, structured content, schema markup, performance, accessibility, strong information architecture, reliable integrations, and useful content.

The businesses best positioned for the agentic web will not be those that chase the most experiments. They will be the ones with the strongest digital foundations.

Human Experience & Agent Experience Can Reinforce Each Other

One of the most encouraging aspects of this transition is that optimizing for agents does not require abandoning human-centered development.

Consider the overlap:

Good websites are becoming more understandable, more structured, and more connected. Those improvements benefit both people and machines.

Development Teams Need to Think in Systems

A website is often a complex, connected ecosystem of content management systems, product information platforms, ecommerce platforms, CRMs, ERPs, search technologies, marketing systems, identity platforms, analytics solutions, cloud infrastructure, and numerous third-party services.

Agents introduce another way of interacting with that ecosystem. That means preparing for them requires collaboration between development, UX, content, SEO, accessibility, data, security, infrastructure, and business teams. This is an architectural challenge as much as a content or marketing challenge.

Organizations should start asking:

• Is our content structured consistently?
• Can our website clearly communicate what our organization offers?
• Are important entities and relationships understandable?
• Is our underlying business data accurate?
• Are important experiences dependent on unnecessarily complicated frontend code?
• Can machines access the same reliable information presented to customers?
• Which business actions could eventually be safely completed by agents?
• Do our authentication and security models support those possibilities?
• Can we measure how automated systems are interacting with our digital properties?

Build for Humans First

People remain the highest priority for digital experiences.

They are the customers, employees, members, patients, students, partners, fans, constituents, and other relationships that are important.

Increasingly, an AI system may stand between a person and your digital experience. So, considering agent success is now also important in human-first development and design.

Someone may ask an assistant which product fits a particular requirement instead of visiting five product pages. They may ask an agent to compare service providers. They may rely on an AI-powered interface to research an organization, summarize documentation, locate inventory, or eventually initiate a transaction.

Your website still needs to provide an exceptional experience when that person arrives directly. It also needs to provide the clarity, structure, data, and functionality that enable trusted agents to help them.

The human and agentic goals are not mutually exclusive.

In most cases, the path toward achieving one strengthens the other.

Preparing Your Website for the Agentic Web

Brands don't need to abandon everything they know about website development and start over. They need to build on it.

Start with an excellent digital foundation. Prioritize accessibility, performance, usability, semantics, content quality, accurate data, security, and maintainable architecture. Then evaluate the unique ways AI agents may need to discover information and interact with your digital ecosystem.

That approach creates something much more valuable than a website designed around today's newest technology. It creates a digital platform capable of adapting to whatever comes next.

Build Your Next Digital Experience with Americaneagle.com

For more than 30 years, Americaneagle.com has helped organizations navigate major shifts in web technology while keeping business outcomes and user needs at the center of digital strategy.

Today, our experts bring together web and application development, experience design, accessibility, artificial intelligence, digital marketing, integrations, hosting and managed cloud services, and ongoing optimization to build digital ecosystems ready for both today's users and tomorrow's AI-powered experiences.

Whether your organization is planning a website redesign, modernizing enterprise architecture, improving AI visibility, or determining how agents fit into your broader digital strategy, Americaneagle.com can help you build solutions designed for humans, agents, and what comes next.

Contact us to start a conversation about your next project.