What is SitecoreAI?

SitecoreAI is Sitecore's unified digital experience platform (DXP) that brings together content management, customer data, personalization, search, and digital asset management in a single cloud-native environment. Announced at Sitecore Symposium 2025, it represents a significant rebrand and repositioning of XM Cloud, with AI capabilities now central to the platform rather than an add-on.

The shift addresses a real pain point in the previous composable model, where if you wanted content management plus personalization, search, or CDP capabilities, you had to purchase and integrate separate Sitecore products.

SitecoreAI is set to include entry-level access to these features out of the box, streamlining procurement and reducing integration complexity. Enterprises can expand to full versions of these products as their needs grow, but the baseline capabilities are already in place.

In this guide, we'll explain what's included in the SitecoreAI platform, how its AI capabilities actually work, what teams can accomplish with it, and key considerations around pricing and implementation. Whether you're evaluating SitecoreAI for the first time or trying to understand how it differs from the previous XM Cloud offering, this article covers what you need to know.

Key Takeaways

• SitecoreAI bundles content management, personalization, data intelligence, search, and asset management into one platform, giving entry-level access to all these capabilities in a single cloud-native environment.

• SitecoreAI includes 20+ prebuilt agents for tasks such as content generation, SEO analysis, and competitive research, and allows you to build custom agents using no-code tools or developer APIs.

• Organizations can upload brand guidelines, style documents, and reference materials that AI agents automatically reference when generating content.

Main Features of SitecoreAI

SitecoreAI is built around several core capabilities designed to consolidate marketing tools and leverage AI throughout the content lifecycle.

• Unified Platform: Instead of managing separate logins, data models, and interfaces for content, customer data, and personalization, users will be able to work in a single, connected workspace. This matters most for teams currently juggling multiple disconnected tools as they get shared content, data, and reporting in a single environment.

• Agentic Orchestration: Purpose-built AI agents will be able to handle specific marketing tasks such as content generation, SEO analysis, or competitive research. These agents are designed for discrete workflows and can be chained together to automate multi-step processes.

• Human-in-the-Loop Control: AI generates drafts and recommendations, but marketers will still be able to review and approve before anything goes live. This allows enterprises to maintain control over brand voice, accuracy, and final output.

• Connected Data and Insights: SitecoreAI will be able to pull from a shared data foundation that includes customer behavior, content performance, and campaign analytics. This means AI recommendations and personalization are based on actual unified customer data rather than siloed information.

• Built-in Brand Governance: Brand Kits enable content teams to upload brand guidelines, style guides, and reference materials that ground AI-generated content. Agents reference these automatically to maintain consistency without requiring manual review of every element.

• Enterprise Security and Compliance: The platform includes enterprise-grade security, privacy controls, and governance features.

• Customization and Extensibility: Sitecore Studio provides both no-code tools for marketers to build custom agents and developer APIs for more complex integrations. This flexibility supports organizations whose workflows don't fit standard templates or who need to connect to proprietary systems.

What's Included in SitecoreAI?

SitecoreAI bundles several products that were previously sold separately. Here's what you get access to and what each component actually does:

SitecoreAI CMS (Content Management System)

The CMS is the foundation of the platform and represents the evolution of XM Cloud. It's a headless, cloud-native content management system that lets marketers create and publish content through visual authoring tools while giving developers flexibility to build with modern frameworks like Next.js and React. The CMS also includes AI copilots for content creation.

Customer Data Platform (CDP) & Personalization

SitecoreAI includes entry-level access to Sitecore's CDP and personalization products, which consolidate customer data from multiple sources into unified profiles and enable dynamic, behavior-based personalization.

Search

SitecoreAI includes Sitecore Search, which provides AI-powered search and discovery that understands user intent and surfaces relevant content based on context and behavior. The integration with the broader platform means search results can be personalized based on customer data and incorporate content from across your CMS and DAM.

Content Hub (Digital Asset Management)

Content Hub is the digital asset management (DAM) system where teams store, organize, and manage images, videos, documents, and other media. Instead of assets scattered across shared drives or multiple systems, it provides centralized storage with metadata, version control, and usage rights management.

Unified Data Layer

The unified data layer will be able to connect all SitecoreAI components by maintaining a single source of truth for customer data, content analytics, and behavioral information, rather than keeping this data siloed in separate products. This means AI agents, personalization rules, and campaign analytics will be able to work from the same complete customer profile, improving decision-making and reduces the data fragmentation that plagues disconnected marketing tools.

Sitecore Studio (Extensibility Framework)

Sitecore Studio is the customization layer that includes Agentic Studio (no-code tools for marketers to build custom AI agents), App Studio (developer APIs for sophisticated integrations), and a Marketplace for prebuilt solutions. This flexibility lets organizations adapt SitecoreAI to workflows and integration needs that don't match out-of-the-box functionality without rebuilding the entire platform.

How AI Works in SitecoreAI

SitecoreAI's AI capabilities are built around specialized agents that handle specific marketing tasks.

Sitecore Studio: The AI Foundation

Sitecore Studio is the framework that powers AI customization and extensibility in SitecoreAI. It's broken into several components:

• Agentic Studio provides marketers with a no-code environment to build and manage AI agents that automate workflows tailored to their needs.

• App Studio provides developers with APIs, SDKs, and tools to build more sophisticated custom applications and agents that require complex logic, external API integrations, or specialized data processing. This is where technical teams build when no-code tools hit their limits.

• Marketplace allows organizations to discover, install, and share prebuilt apps and agents across the Sitecore ecosystem.

• Sitecore Connect simplifies integration between SitecoreAI and third-party systems through prebuilt connectors and automated workflows, reducing the custom development typically required to connect marketing tools to CRMs, ERPs, and other enterprise systems.

Working with Agents in SitecoreAI

The Agentic Studio provides teams with a central place to delegate work to AI in SitecoreAI. Teams will be able to ask AI for help, automate individual tasks, coordinate multi-step workflows, or continue previous work using agents, flows, and signals. Some of the capabilities of the Agentic Studio will include:

Actions: The conversational interface is accessible from anywhere in the platform. Instead of navigating through menus or learning complex features, marketers can simply describe what they need in natural language. Actions interpret the request, select the appropriate agent, and execute the task.

Prebuilt Agents: SitecoreAI launches with 20+ prebuilt agents designed for common marketing tasks. These agents are meant to handle everything from content generation and translation to competitive research, SEO analysis, and account data enrichment.

Custom Agents: When prebuilt agents don't match specific workflows, enterprise teams can build custom agents. Marketers can use Agentic Studio's no-code builder to create agents for organization-specific processes.

Developers can use App Studio to build more complex agents that require custom logic, external API integrations, or sophisticated data processing. Both approaches result in agents that function as digital team members, automating repetitive work while keeping humans in control.

Agentic Flows: Individual agents handle specific tasks, but many marketing processes require multiple steps. Agentic Flows orchestrate these multi-step workflows by connecting multiple agents in sequence.

For example, a campaign launch flow might connect a research agent, a brief creation agent, a content generation agent, and a compliance checking agent to automate the process from initial research through ready-to-review deliverables.

Signals: Signals provide AI-generated market intelligence tailored to your industry and topics of interest. Rather than manually monitoring competitor moves, industry trends, and market shifts, Signals can deliver timely insights with supporting context and references. And agents can be triggered to act based on specific criteria, keeping marketing teams informed without dedicating hours to research.

Brand Kits: Brand Kits are meant to ensure consistency across all AI-generated content. By uploading brand guidelines, style documents, and reference materials, organizations can create a knowledge base that grounds every AI output.

Agents automatically reference these guidelines, ensuring that generated content aligns with brand voice, visual standards, and messaging frameworks without requiring manual review of every element.

Benefits of SitecoreAI

Here are a few examples of what teams will be able to accomplish with SitecoreAI when used correctly and the benefits it can provide:

Accelerate Content Creation & Campaign Planning

SitecoreAI's prebuilt agents handle work such as drafting campaign briefs, generating content variations, and ensuring brand consistency across all outputs. Marketers will be able to generate first drafts quickly with Brand Kits while ensuring alignment with guidelines.

Build Custom Agents for Your Unique Workflows

Every organization has specific processes that generic tools can't address, including custom approval workflows, account data enrichment, or specialized research requirements. Using Agentic Studio's no-code builder, marketers can create agents tailored to their exact needs. For more complex requirements, they can get help from developers using App Studio to build sophisticated agents that integrate with external systems and handle organization-specific logic.

Improve Asset Discovery & Content Reuse

SitecoreAI's AI-powered search and discovery tools will help teams quickly find and reuse existing assets, with intelligent recommendations based on context and usage patterns. This can reduce the time spent searching and eliminate unnecessary content recreation.

Personalize Customer Experiences at Scale

Instead of manually creating hundreds of variants for different segments, SitecoreAI’s personalization engine can dynamically generate content based on individual customer behavior, preferences, and context.

Stay Ahead with AI-Generated Market Intelligence

Signals will provide automated market insights tailored to specific industries and areas of interest, delivering timely information on competitor moves, industry trends, and market shifts.

Why SitecoreAI's Unified Approach Matters

The architectural differences between SitecoreAI and other DXP approaches directly impact what marketing teams can actually accomplish. The additional benefits that SitecoreAI can offer include:

Complete Customer Context for AI

When content management, customer data, and personalization are separate products, AI capabilities can access only a limited context.

SitecoreAI can give humans and AI agents access to everything, including customer behavioral data, preferences, content performance, and interaction history across all channels. When an agent generates personalized content or recommends experiences, they are working from a complete picture of who this customer is and what they respond to.

No Integration Complexity

Other DXPs' approaches require integrating separate products even when they're from the same vendor. This means connecting your CMS to your CDP, integrating personalization across both systems, and building workflows that pass data between them. SitecoreAI will eliminate this complexity by providing everything within a unified platform.

AI Capabilities That Work Together

In SitecoreAI, AI capabilities are meant to work together. An agent conducting market research via Signals could share insights with campaign planning agents. Content creation agents could automatically incorporate personalization recommendations. This orchestration can enable multiple AI capabilities to collaborate on complex workflows

Process and Workflow Automation

Beyond individual task automation, SitecoreAI will enable end-to-end workflow automation. A campaign launch workflow might involve research agents gathering market intelligence, strategy agents developing positioning recommendations, content agents generating materials, brand governance agents ensuring compliance, and deployment agents scheduling publication, all orchestrated through an Agentic Flow with humans approving at strategic decision points.

Faster Speed to Market

The cumulative effect of these capabilities is faster execution, as marketing teams can launch campaigns in days rather than weeks. More importantly, they can test more variations, respond to market changes faster, and capitalize on opportunities that would have passed by the time traditional execution completed.

Data-Driven Decision Making

SitecoreAI's analytics capabilities extend beyond reporting what happened to recommending what to do next. Because AI has access to complete customer data, content performance, and behavioral patterns, it can identify opportunities and issues that human analysis might miss.

SitecoreAI Pricing & Packaging

Evaluating SitecoreAI pricing requires understanding several factors beyond platform licensing alone.

1. Enterprises need to account for what's included at the entry level versus what requires upgrading to full product versions. SitecoreAI is set to bundle baseline access to CDP, Personalize, Search, and Content Hub, but organizations with advanced requirements in any of these areas will need to expand beyond the included tier.

2. Implementation costs vary significantly based on whether you're migrating from an existing Sitecore platform (such as XP/XM), starting fresh, or integrating with existing martech tools.

3. Ongoing costs depend on usage patterns, including the number of sites, traffic volume, the scale of content operations, and the extent to which you leverage AI agents and custom workflows in Sitecore Studio.

Because SitecoreAI represents a shift from Sitecore's previous licensing model and pricing varies based on your specific requirements and existing infrastructure, getting an accurate assessment requires working with a Sitecore partner who can evaluate your use case.

As a certified Sitecore partner, Oshyn can help you understand what's included at different tiers, estimate implementation complexity for your situation, and identify where you might need full product versions versus entry-level access.

Getting Started with SitecoreAI

SitecoreAI represents a significant shift in how Sitecore packages its digital experience capabilities. Whether this approach makes sense for your organization depends on your current infrastructure, the complexity of your marketing operations, and your commitment to the Sitecore ecosystem.

Organizations approach SitecoreAI implementation from different starting points. Some are existing XM Cloud customers exploring how the new AI capabilities and included products can enhance current operations. Others are evaluating the platform as part of a broader DXP strategy that might involve migrating from Sitecore XP/XM, consolidating disconnected marketing tools, or moving from another vendor altogether. Each path has different implementation considerations, timelines, and cost implications.

As a Sitecore partner, Oshyn works with enterprises across this spectrum to ensure successful adoption and measurable results. Our team can help you evaluate whether SitecoreAI fits your use case, plan migration strategies that minimize disruption, implement custom agents and workflows, and integrate the platform with your existing martech stack.

Contact us to learn more about how we can help you on your Sitecore journey.