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What is the outlook for a corporate website over the next ten years? Do B2B companies even need one anymore? Or is the website dead anyway?
To get straight to the point: No! Your own website is alive and necessary as the central endpoint for various activities. It is simply the idea that a website is a largely self-contained digital product that has become outdated. Corporate websites should have long since ceased to be viewed as a single channel and instead be seen as a true experience platform.
Because what users experience as a website today is no longer created exclusively within a content management system. Product data comes from other systems. Leads land in the CRM. Personalization accesses usage data. Forms communicate with marketing automation or sales. Search functions are becoming more intelligent. Content needs to work not just on a website, but also in apps, portals, campaigns, social channels, and increasingly in generative search systems.
It is therefore evolving more and more from a collection of published pages into the visible interface of a much larger digital platform and brand experience.
And this brings many companies to one of the biggest problems in their current digital infrastructure: they are trying to solve the requirements of an experience platform with a website architecture that was never designed for it.
In B2B, this development can be observed particularly clearly. According to McKinsey, B2B decision-makers now use an average of around ten different touchpoints during a buying journey. In 2016, it was about five. More than half of those surveyed expect a true omnichannel experience and want to be able to switch seamlessly between websites, personal contact, video, e-commerce, email, chat, and other channels. A poor omnichannel experience can even lead to buyers abandoning a purchase or switching providers.
The problem, therefore, is not that companies haven't built enough digital channels. Often, the opposite is the case.
There is a website. A CRM. A newsletter tool. An analytics setup. Perhaps a commerce layer, a customer portal, a marketing automation platform, a digital asset management system, a search function, a consent management system, and now several AI applications.
Every single system can be useful. But from the user's perspective, this does not yet create a good experience. Experience only emerges when systems work together optimally, and unfortunately, they often do not.
The technical reality of many companies has grown over the years. New requirements were solved with new tools, new campaigns with further integrations, new markets with additional templates, and new business models with further custom solutions.
This creates an architecture that often looks stable from the outside but becomes increasingly difficult to change internally.
However, this is not just an IT problem. It is becoming much more of a UX problem.
If product data is maintained differently in three places, the user receives contradictory information. If a CRM is not properly connected to a website, context is missing. If content is not structured, it can neither be reused efficiently nor processed reliably by search systems and AI. If every new campaign requires an individual technical solution, a marketing idea quickly turns into a multi-week coordination project.
The result is what we have described elsewhere as experience debt: a digital experience becomes harder to manage with every small exception, every workaround, and every additional custom solution.
An experience platform does not attempt to replace all these systems with one single, gigantic system. Instead, it creates an architecture in which specialized components work together reliably.
The term can easily be misunderstood. An experience platform does not automatically mean that a company should buy a large digital experience platform and expect all its problems to disappear.
On the contrary: for many companies, that would be the next tool failure.
What matters more is the mindset behind it. The central question is no longer: Which CMS do we need for our new website?
Instead:
What capabilities do we need to develop digital experiences quickly, consistently, and across multiple touchpoints?
A modern CMS remains an important component. But alongside it, other capabilities are becoming just as relevant: structured content, interfaces, unified data models, search, personalization, analytics, consent, design systems, and a clear integration layer.
Providers of Digital Experience Platforms are also increasingly describing modern platforms as modular and API-oriented. Contentful, for example, cites content management, cross-channel delivery, personalization, analytics, experience assembly, and API integration as core components of a DXP, and describes modular architectures as an alternative to traditional monolithic platforms.
However, what is decisive is not so much the category of software used, but the architecture of the overall system.
One of the most important steps on the path to an experience platform therefore begins not with technology, but with content.
Many corporate websites still think of content in terms of individual pages. They tend to collect content rather than structure it.
There is a product page, an industry solution, a case study, a location, and a press release. These pieces of content are each written specifically for the exact place where they are intended to appear.
This works well as long as content is produced essentially for your own website. But as soon as the same information is also needed in an app, a customer portal, a campaign, a chatbot, an internal knowledge platform, or a generative search system, this model becomes inefficient.
In that case, a product page should, for example, become a structured product object. Product name, value proposition, use cases, technical specifications, industries, downloads, contact persons, and references are independent components that can be used in different contexts.
This may sound like a technical detail at first, but it significantly changes day-to-day work.
A change no longer needs to be made manually in five different places. A new channel does not necessarily require new content. An AI assistant can access defined information. A sales system can use the same performance data as the website.
And the organization gains something that is often more important for digital platforms than a new feature: consistency.
With the advent of generative AI, it is becoming clear why these foundations are becoming more important. The issue is not a lack of AI tools; it is a lack of context.
An AI can only personalize effectively if it knows who it is interacting with, what information is relevant, which content is current, and what actions the respective system is actually permitted to perform. Therefore, websites should provide the data and structures (readiness).
The same applies to AI agents. The MuleSoft Connectivity Benchmark 2026 shows that 86 percent of IT leaders surveyed fear that AI agents could create more complexity than value without sufficient integration. 94 percent expect that increased use of agents will necessitate a more API-oriented architecture.
This is a significant shift. Here, too, the question is no longer just: Can our website integrate AI features? But rather: Can our digital platform provide information and functionality in a way that allows various systems and intelligent agents to work with it reliably?
The good news is that the path to an experience platform does not have to begin with a complete relaunch.
On the contrary, a step-by-step transformation is often more sensible.
The first step should not be a classic website audit, but rather an inventory of the entire experience system.
Which systems provide data to the website? Which data is maintained in multiple places? Where do media discontinuities occur? Which functions are custom-built even though they could exist as reusable services? How many systems do marketing teams have to manage for a single campaign?
A simple journey analysis is particularly revealing.
For example, take a potential B2B customer inquiry and track it from the initial search contact through the website, form, CRM, marketing automation, and sales. This allows you to analyze, for instance, where information is lost or could be enriched, where manual intervention is required, or where the user simply notices that two systems are not communicating with each other.
Such an analysis reveals where action is truly needed faster than a technical architecture workshop.
The second step is to model central information as reusable content objects.
This includes, for example, products, services, cases, industries, people, locations, events, or downloads.
For each object, you should define which information is mandatory and what relationships exist with other objects.
A case study, for example, can be assigned to an industry, multiple services, and specific contact persons. This allows case studies to be automatically displayed in different contexts instead of having to link them manually on many pages.
This not only improves editorial efficiency, but also creates an essential foundation for search engines and AI systems to understand context more reliably. Google explicitly recommends that website operators provide clearly structured, accessible, and helpful content. Structured data further helps Google better understand a page's content and specific entities.
The next step is technical decoupling.
Instead of hard-coding features into templates or individual applications, you should evaluate which information and services can be made available via APIs.
This applies to more than just large backend systems.
Even simple things like location data, contact persons, event information, or product availability should ideally have a single, defined source.
The goal is not maximum technical elegance. The goal is to ensure that the same information is not maintained differently across five different systems.
In addition to technical interfaces, an experience platform requires a design infrastructure.
A design system ensures that components, interactions, and fundamental UX principles remain consistent across different digital products.
A design system should not be viewed as a static library.
It must define how components are used, which variants are permitted, which accessibility requirements apply, and how new components are integrated into the system.
The effect is particularly noticeable with new products and campaigns: teams don't have to start from scratch every time.
Many analytics setups still primarily measure page views, sessions, and conversion events.
For the concepts behind an experience platform, this is not enough. The relevant question is whether users achieve their goals across multiple touchpoints.
How many touchpoints does a prospect need before making an inquiry? Which content is consumed before a conversion? Which search queries actually lead to relevant interactions? Where do users abandon a journey and return later via a different channel?
These questions do not necessarily require a massive customer data project. However, they do require a consistent event logic and shared definitions.
A technical platform can be as flexible as you like, but it won't matter if no one knows who is responsible for content, when it should be updated, or which systems serve as the single source of truth.
That is why governance is part of platform architecture.
For central content objects, it should be clear who is responsible for them. Information requires defined update processes. New tools should be evaluated not only based on the features they offer, but also on how well they integrate into the existing architecture.
It is precisely this organizational component, such as content architecture, that often determines whether a good overall architecture actually results in a better overall experience.
No. But it does change their purpose.
A relaunch should no longer primarily consist of replacing an old website with a new one.
A better approach is to build a digital platform that can then be continuously developed further.
The goal would then no longer be to organize a major restart every five years.
The goal is an architecture where new products, content, campaigns, AI applications, and touchpoints can be integrated without having to rethink the entire platform every time.
The website remains important as an authority for both human research and AI systems.
For many companies, it continues to be the central hub where brand, information, service, and conversion converge. McKinsey still identifies the corporate website as one of the most frequently used touchpoints within complex B2B buying journeys.
Your own website is a critical part of a system that reliably delivers information and functionality to where users need it.
If you want to develop your corporate website into a true system and business asset and are wondering what the first steps in that direction should be, feel free to reach out to us for a no-obligation conversation.
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