DELIVERING DIGITAL EXPERIENCES
How to choose a digital experience platform (DXP)
Choose a DXP that fits how your enterprise works today and supports your ambitions for AI-driven marketing.
3 minute read
DELIVERING DIGITAL EXPERIENCES
Choose a DXP that fits how your enterprise works today and supports your ambitions for AI-driven marketing.
3 minute read
Improving your current site is usually the practical starting point when the main problems involve content, navigation, page design, or conversion journeys and your platform can support the changes. Replatforming becomes worth evaluating when underlying limitations repeatedly prevent progress, such as unsupported technology, restrictive content models, unreliable performance, or integrations that are costly to maintain.
Before committing, ask your team to scope the priority improvements on the existing platform. Compare that work with the full cost and disruption of migration, including content changes, integrations, training, and ongoing operations. A phased approach may let you replace the capabilities causing the greatest difficulty first.
An enterprise DXP should support the way your teams manage content, personalize experiences, and measure results across brands and markets. It also needs to connect with your existing systems and give you appropriate control over publishing, customer data, and AI-assisted work. With your requirements agreed, you can start looking closely at what each platform offers. Ask vendors to demonstrate your priority workflows and explain what comes included, what requires another product, and what your team or implementation partner will need to build.
You can use this checklist to guide those conversations and give the most attention to capabilities that support your business goals.
| Evaluation criteria | What to verify |
|---|---|
| Content creation and publishing | Can marketers build and update experiences, preview changes, and manage approvals without routine developer support? Ask to see the full process from draft to publication. |
| Digital asset management | Can teams find and reuse approved assets, track versions, and manage usage rights? Check how the platform works with your existing asset library or provides those capabilities itself. |
| Multiple brands, markets, and languages | Can teams share content and templates, manage translations, and make local changes within global standards? Test how an update affects content reused across sites. |
| Customer data and personalization | Which customer signals can the platform use, and how are they connected? Ask vendors to demonstrate audience setup, personalization rules, and controls over data use. |
| Experimentation and analytics | Can your team launch tests, interpret results, and connect them to meaningful customer actions? Establish which measurement capabilities are included and which rely on integrations. |
| Integration with existing systems | Do available connectors support the data and workflows you need? Check how information moves between systems, how failures are handled, and who maintains each connection. |
| AI capabilities and oversight | Which tasks can AI assist with or carry out today? Ask to see how it uses approved content, respects permissions, and supports human review. Confirm any additional usage costs. |
| AI discoverability | How does the platform support crawlable pages, structured content, metadata, and schema markup? If it offers AI visibility monitoring, ask how findings translate into content changes and how results are measured. |
| Security and governance | Can access controls, approval workflows, and audit records meet your organizational requirements? Have your security team review supporting documentation and any gaps that need further assessment. |
| Performance and reliability | What evidence supports the platform’s ability to handle your expected traffic, publishing activity, and geographic reach? Review service commitments, recovery arrangements, and relevant customer references. |
| Accessibility | How does the platform help teams create and maintain accessible experiences? Check authoring support, component behavior, and the testing responsibilities your organization will retain. |
| Implementation and ongoing support | What skills and resources will you need to launch and operate the platform? Clarify the responsibilities of your team, the vendor, and any partner, including training and support after launch. |
For enterprise marketing teams adopting AI, the most important platform capabilities connect AI to everyday work: access to approved brand content, configurable review controls, and a clear path from content creation to publishing and measurement. Global organizations also need support for regional operations and tools marketers can use independently once the platform is configured.
Ask vendors to demonstrate a campaign using your own content and regional requirements. Follow the work from the initial brief through publication, and check where teams need to switch tools or rely on custom development.
| What to evaluate | What to ask vendors to demonstrate |
|---|---|
| Brand context | Show how AI uses approved brand guidance and source material when generating content, and how reviewers check the output. |
| Regional execution | Adapt a campaign for another market, including translation and local review. Show how regional teams work within shared brand standards. |
| Human oversight | Demonstrate who can generate, edit, approve, and publish content. Show how teams trace changes and review AI actions. |
| Personalization and measurement | Use audience information to deliver a relevant experience, then show how marketers test it and measure results against a defined goal. |
| AI discoverability | Show how teams identify gaps in AI answers about their brand and turn those findings into content changes they can publish and monitor. |
| Integration and total cost | Identify the connections to existing systems and explain which capabilities require additional licenses, usage fees, or implementation work. |
| Enterprise scalability | Show how the platform manages your expected number of sites, markets, users, and content items. Ask for performance evidence, service commitments, and relevant implementation references. |
| Usability for marketers | Have a marketer adapt and publish a campaign using configured components and workflows. Identify which tasks require developer support or specialist training. |
SitecoreAI is worth shortlisting when your priority is to connect AI-assisted marketing with the content and experience workflows your teams already manage. The platform brings together SitecoreAI CMS, digital asset management, content operations, audience insights, and conversion optimization. Its Agentic Studio supports agents grounded in brand context, with review controls that help teams oversee their work. Use the demonstration to establish what your organization can run from day one, what needs configuration, and how much effort each regional rollout will require.
The total cost of a DXP includes the platform subscription, implementation, and the ongoing work needed to run and improve it. Ask vendors and implementation partners to explain those costs over the same period, using consistent assumptions about your sites, users, content, and traffic.
Include content migration, integrations, training, and the time your own teams will contribute. Establish which capabilities are included in the proposal and which require additional products or services.
Look at how costs could change as adoption grows. Adding markets, increasing usage, or expanding AI-assisted workflows may affect charges, depending on the commercial model. Ask what triggers an increase and how your team can monitor usage.
Consider those costs alongside the outcomes you agreed at the start. Faster publishing or reduced manual work can create value, but your business case should explain how you will measure that improvement and what it will take to achieve it.
Once you’ve settled on a preferred DXP, the real work begins. As with any new technology, excellent communication and training are critical to driving end-user adoption.
Before committing, resolve any outstanding questions about critical workflows or integrations through a focused proof of concept. Agree on what success looks like and involve the people who will use the platform. Keep an eye on the objectives that you established during the planning stage, so you’ll have a clear picture of the before and after comparison. For example, you may want to measure and document whether time-to-market has accelerated or customer satisfaction has improved. Take the time to gather real-time feedback, so you can adjust the implementation and rollout as needed to maximize ROI.
Results should be tied to the problem the investment was intended to solve. General Assembly reports a threefold increase in visitor-to-lead conversion and 12.5% faster page loads following its move to a composable SitecoreAI platform. Use customer evidence to understand the scope of the implementation and the outcomes measured, then establish your own baseline and targets.
Start with a rollout your teams can support, with clear ownership of content, integrations, and publishing decisions. Use what you learn from the first launch to improve the next. Over time, your DXP should make it easier for marketers to deliver useful experiences and respond to customer needs, with results you can measure against the goals that justified the investment.