These updates are rolling out progressively across SitecoreAI. Availability may vary by product and environment, and some features may become available at different times as rollout continues.
What's changed:
New Optimization experience in SitecoreAI
We're introducing Optimization, a new experience in SitecoreAI that unifies analytics, audiences, profiles, and personalization-related functionality. As part of this update, the existing Performance menu is replaced by Optimization, providing a more streamlined way to access and manage optimization activities across SitecoreAI.
Refreshed sidebar navigation
The sidebar navigation has been updated to provide a more streamlined and consistent experience across SitecoreAI.
Enhanced environment switching
Updates to the environment picker make it easier to identify and switch between available environments while working in the app.
Easier access to the SitecoreAI assistant
The SitecoreAI assistant is now integrated into the menu, making it easier to access assistance while you work anywhere in your SitecoreAI workspace.
Improved header responsiveness
The header has been updated to better adapt to different screen sizes, helping create a more consistent experience across devices and layouts.
]]>What's included
Centrally manage headless experiences - create headless personalizations and A/B/n tests for non-Sitecore managed properties.
Configure custom API responses - define the JSON data returned to your application for each variant.
Target specific audiences - add conditions to control who is eligible for an experience.
Run multi-variant A/B/n tests - test up to six variants across headless channels.
Test API responses - use the Preview API to validate responses before publishing.
Track headless performance - add goals and monitor performance and operational data.
Triggered personalization
You can now start personalized actions when a configured guest event occurs. SitecoreAI evaluates guest eligibility and sends a personalized payload to connected systems, such as email providers or custom webhooks, enabling automated responses to customer behavior.
What's included
Trigger experiences from guest events - start personalization when guests perform configured actions.
Apply eligibility conditions - control which guests qualify before an action runs.
Deliver personalized payloads through webhooks - send data to external systems using custom actions.
Send automated emails - trigger personalized emails through integrated providers.
Monitor delivery and execution - track triggered experiences to review connection health, delivery status, and operational data.
With this release, you can:
Define component models upfront by creating fields, rules, and data structures that ensure consistent behavior and content across sites.
Create components from scratch using AI by describing your idea in natural language and instantly generating both the component presentation and content model.
Generate presentations from existing models to quickly transform predefined structures into fully designed components.
Reuse, clone, and inherit models to scale components efficiently, experiment safely, and maintain alignment with shared standards.
Iterate using prompts, images, and design tokens to refine components without relying on front-end development.
Visualize and adjust models in Studio mode for faster collaboration and more efficient design decisions.
Control component availability by defining where components can be used across sites, templates, and placeholders.
By bringing AI-powered generation and component modeling together, Design Studio enables teams to create, manage, and scale components with confidence. Whether you're starting from a blank idea or building on an existing model, you can accelerate delivery, reduce rework, and create components in minutes that are ready for installation.
]]>The documentation explains how to integrate your front-end app directly with Sitecore APIs, using the framework or language that fits your project. It combines concepts, step-by-step walkthroughs, and troubleshooting guidance, with code examples in Astro and Go.
The documentation covers:
Project setup - create a SitecoreAI project using your own code.
Content rendering - retrieve layout and content through GraphQL APIs and render components in your app.
Visual editing - enable content authors to edit your app’s pages in the SitecoreAI Page builder.
Routing, localization, and multi-sites - resolve sites and languages and handle redirects.
Further documentation on analytics and personalization, including A/B/n testing, and advanced tooling for AI-powered Sitecore features is planned for later releases.
This guidance can serve as the foundation for a custom Sitecore SDK, enabling your development team to support your organization's own frameworks and tools.
]]>The dashboard includes analytics for:
Personalization reach.
Personalized and default experience deliveries.
Delivery errors.
Delivery health.
Experience activity across channels and languages.
You can use these insights to investigate personalization issues, identify underperforming experiences, and monitor personalization delivery across your sites.
]]>Audience Builder AI assistant
The new AI Assistant makes it easier to build audiences from natural-language descriptions while keeping full control over the resulting rules.
Create audiences using natural-language prompts - generate audience rules from simple text descriptions.
Refine rules through the Chat tab - add, remove, or modify rules in an existing audience.
Use suggested prompts - start with suggested prompts for common audience segments.
Switch between AI-assisted and manual editing - switch between AI-generated rules and manual configuration as needed.
Event and session rule limits
A new toggle gives you more control over whether rule limits are evaluated across a single session or multiple sessions.
Apply limits to event and session rules - define how many times an event or session attribute must occur for a profile to qualify.
Once connected, SitecoreAI creates a dedicated AI Discovery folder within the brand context’s file structure. The data gives agents in Agentic studio richer brand context, including insights into visibility, audiences, competitors, topics, prompts, and cited sources. Agents can use this context to make content generation, recommendations, and other brand-related tasks more informed and relevant.
What's included
Connect brand context to Scrunch - connect brand context to a configured brand in Scrunch to generate the AI Discovery files.
Access AI Discovery insights - explore the read-only AI Discovery files with insights into your brand’s visibility and performance across AI platforms, topics, audiences, competitors, and cited sources.
Keep brand data up to date - AI Discovery files refresh automatically each day so your Brand context reflects the latest available data from Scrunch.
Manage Scrunch connections - disconnect Brand context from Scrunch at any time to stop data synchronization.
What's included
Custom schema extensions - add profile attributes beyond the standard profile schema.
Flexible data structures - model customer data using simple and complex values.
Audience support - after the schema is published, use profile extensions as audience criteria when personalizing your website or targeting content.
Profile import now supports bulk profile deletion in SitecoreAI. You can upload a JSONL deletion batch through the Profile Import API to permanently delete profiles for privacy and data-subject deletion workflows.
A deletion record requires only one identifier that matches the profile; you don't need to provide every associated identifier. You can also monitor batch status and download results to confirm deleted and unmatched profiles.
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