Practices for Building a Website Ready for the Future of LLMs

For years, websites were built with two audiences in mind: people and search engines. We optimized for rankings, conversions, keywords, and user experience. But the way people discover brands online is already shifting, and we’re now entering a phase where websites also need to be built for AI agents and large language models. The brands that get this right will be the ones reaping the success in the near future. 

People are no longer just searching Google with short keywords. They’re asking ChatGPT, Perplexity, Claude, and AI-powered assistants full questions and expecting synthesized answers. This changes the role of your website entirely. Your site is no longer just competing for clicks, it’s competing to become a trusted source that AI systems can understand, retrieve, and reference.

And the bad news… most websites today aren’t built for this yet.

Clear Messaging Matters More Than Ever

One of the biggest mistakes I still see brands making is relying on vague marketing language that sounds polished but says almost nothing. Statements like “innovative solutions” or “helping businesses grow” might feel professional, but they don’t provide much actual context for either humans or AI systems.

The websites that are going to perform best moving forward are the ones that communicate with clarity and specificity. Instead of saying you “help businesses scale,” explain exactly who you help, what you help them accomplish, and how you do it. If you help B2B SaaS companies grow pipeline through SEO, lifecycle marketing, and LinkedIn strategy, say that directly.

Large language models rely heavily on context and semantic understanding. The clearer your website is, the easier it becomes for AI systems to understand what your company actually does and when it’s relevant to surface your brand in a response.

Build Topic Depth, Not Just Service Pages

I think one of the biggest shifts happening right now is the move away from isolated keyword pages and toward topical authority. Search engines, and now AI systems, are becoming much better at understanding relationships between ideas, not just individual keywords.

That means brands need to think beyond simply creating a service page and calling it a day. If you want your company to be associated with expertise in AI marketing, healthcare consulting, fintech software, or any other category, your website should demonstrate depth around that topic.

Your site should include supporting content, educational resources, perspectives, frameworks, and explanations that reinforce your authority. The more context your website creates around a subject, the easier it becomes for AI systems to associate your brand with expertise in that space.

The websites that win won’t just say they’re experts. They’ll actually look like knowledge hubs.

Structure Your Website Like a Knowledge System

Humans might tolerate confusing navigation if the design is visually impressive enough, but AI systems rely on structure to interpret information. Website architecture matters more than most brands realize.

Clean heading hierarchies, descriptive URLs, organized navigation, and strong internal linking all help AI systems understand how your content connects together. Your website should feel logically structured underneath the surface, not just aesthetically designed on the front end.

Even simple things like naming pages clearly instead of using vague URLs can make a difference. A page titled “/b2b-saas-seo-consulting” communicates far more context than something generic like “/services-v2-final.”

The future-ready website is one that functions almost like a well-organized knowledge base.

Structured Data Is Becoming Foundational

I have a strong opinion on how schema markup and structured data are moving from “nice-to-have SEO enhancements” to foundational pieces of modern websites.

AI systems need machine-readable context to confidently interpret information about your business, services, products, authors, locations, and content. Structured data helps create that clarity. It essentially acts as a translator between your website and AI systems trying to understand it.

Brands that invest in schema now will likely have a major advantage as AI-powered discovery continues to evolve. It’s one of the clearest ways to help machines interpret your website with greater confidence and accuracy.

Create Content Around Real Questions

Large language models are fundamentally question-answering systems. That means websites that directly answer real customer questions are naturally aligned with how AI retrieval works.

Instead of only building polished service pages, brands should also focus on educational and question-based content. Think about the actual questions your customers ask during sales conversations, onboarding calls, or discovery meetings. Those are often the exact types of prompts people are now asking AI systems. That is the material you should be writing around. 

The companies that become easiest to retrieve are often the companies that become the clearest educators. Content that explains, compares, teaches, and simplifies complex topics is incredibly valuable in an AI-first landscape. And content that is readily available, not hidden behind a 7 field required gated form. 

Trust Will Matter More Than Traffic

We’re moving into a future where trust signals become just as important as visibility itself. And I don’t want to just sit back and watch this happen. The brands that lean into this change and build to this will be the winners. 

AI systems are increasingly evaluating not only what a website says, but whether it appears credible. That means websites need to demonstrate real expertise through case studies, testimonials, author bios, credentials, client work, original insights, and transparent company information.

Thin websites with generic content and no visible authority are going to struggle. Meanwhile, brands that consistently publish high-quality, trustworthy information will become stronger sources for AI-generated recommendations and responses.

In many ways, the future of SEO is becoming deeply tied to digital trust.

Technical Performance Still Matters

As much as AI changes the discovery layer of the internet, technical fundamentals still matter. A visually beautiful website that’s difficult to crawl, slow to load, or heavily dependent on inaccessible JavaScript creates friction for both users and machines.

Future-ready websites need clean semantic HTML, fast performance, mobile optimization, accessible structures, and content that can actually be interpreted by crawlers and AI systems.

The easier your website is to parse, the easier it becomes for AI systems to retrieve and reference your information accurately.

The Goal Is No Longer Just Visibility, It’s Understandability

For years, digital marketing focused heavily on rankings and traffic. But the next evolution is about understandability. It’s taking the true core elements of what traditional SEO has been building on for years and creating better for internet users. 

So ask yourself; Can AI systems confidently determine what your company does, who it serves, why it’s credible, and when it’s relevant? Can humans immediately understand your value proposition without decoding vague messaging?

Because increasingly, AI systems are becoming the layer between businesses and consumers. And the brands that thrive will be the ones that are easiest to understand, easiest to trust, and easiest to retrieve.

The future of websites isn’t human or machine. It’s human and machine. And the companies that start building for both now are going to have a significant advantage over the next several years.