Prepr’s product roadmap

We’re constantly improving our products, integrations, and services. Learn about features we’re working on and upcoming improvements.

Q3 & Q4 2026

Legacy API endpoint sunset, August 1st API & Integrations

The legacy api.eu1.prepr.io  endpoint will be permanently retired on August 1, 2026. Customers still using this endpoint should migrate to the new infrastructure to ensure uninterrupted service.

Write operations should move to mutation.prepr.io , while read-only GraphQL queries are recommended to use the high-performance cdn.prepr.io  endpoint. This migration provides improved scalability, performance, and a simplified API architecture going forward.

AI prompts to generate context for segments and environments Editor experience

Creating effective AI context for audience segments and environments often requires detailed descriptions that can be difficult to write from scratch. We’re making this easier by providing guidance that users can use in their preferred AI tools to generate high-quality audience descriptions.

These richer descriptions help AI better understand target audiences, including their motivations, interests, behavior, tone of voice, and communication style, resulting in more relevant and personalized content generation throughout Prepr.

Schema management with MCP server MCP server

We’re expanding our MCP (Model Context Protocol) server to support schema management, enabling AI assistants and external tools to safely inspect and manage Prepr content models. Instead of limiting MCP to content operations, developers will be able to retrieve schema information, understand model relationships, and automate schema-related workflows through a standardized interface.

This lays the foundation for more advanced AI-assisted development experiences, such as generating integrations, validating content models, synchronizing schemas between environments, and supporting developer tooling that understands the complete structure of a Prepr project.

Enhanced MCP server features and skills MCP server

The MCP server will gain a broader set of capabilities, allowing AI assistants to perform more complex tasks while maintaining secure access control. Alongside expanded functionality, we’re introducing reusable “skills” that package common workflows into higher-level actions (for example, the described use cases), making AI integrations more powerful and easier to use.

Enhanced content item filtering Editor experience

Editors will be able to filter content based on whether specific fields are empty or populated, making it much easier to identify incomplete content across large repositories. This initial enhancement focuses on empty and not empty conditions for fields such as SEO metadata, alt text, descriptions, and other editorial content. It also establishes the foundation for more advanced filtering capabilities in future releases, including comparison operators and more sophisticated search criteria.

Multi-select enumerations Editor experience

Enumeration fields will now support selecting multiple values instead of being limited to a single option. This allows editors to classify content more flexibly without creating unnecessary additional fields or complex reference structures. Multi-select enumerations are ideal for scenarios such as assigning multiple categories, content types, product features, or labels while preserving the simplicity and performance of enumeration fields.

Localization per field Editor experience

Prepr currently localizes every field in a content model, requiring editors to manage values separately for every language. We’re introducing field-level localization, allowing each field to be configured as either localized or shared across all locales. When a content item is first created, that locale automatically becomes the source locale for all shared fields. Localized fields continue to maintain independent values per language, making them ideal for titles, body content, and SEO fields. Non-localized fields automatically inherit their value from the source locale, ensuring consistency for assets, references, shared CTAs, authors, and other content that should remain identical across every translation. This significantly reduces duplicate editing work while keeping multilingual content synchronized.

Multiple shared schemas per organization Platform & AdministrationAPI & Integrations

Organizations will be able to maintain multiple shared schemas within a single organization, enabling proper support for Development, Test, Acceptance, and Production environments without requiring multiple organizations. Each shared schema functions as an independent schema group with predictable behavior and governance. This simplifies user management, billing, permissions, and operational workflows while providing clear separation between DTAP environments.

Improved experiment overview and setup guidance Editor experience

We’re redesigning the experimentation experience to make creating and managing experiments much more intuitive. During setup, editors will receive clearer guidance about required tracking, success metrics, traffic allocation, and experiment configuration, reducing mistakes before an experiment goes live. The experiment overview will also become more informative, giving teams better visibility into experiment status, health, configuration quality, and expected next steps.

AI-first content management Editor experience

We’re exploring an AI-first experience where the Content Items page becomes a conversational workspace instead of a traditional content list. Users can simply describe what they’re looking for or what they want to accomplish, while AI helps locate content, answer questions, and guide them through editorial workflows.

Page view metrics in content workflows Editor experience

Content performance should be visible where editors work. Based on the Metrics configuration defined on each content model, the content item list and detail pages will display the relevant traffic, engagement, and performance metrics directly alongside editorial information. By surfacing the metrics, editors can quickly understand how content performs without navigating to separate analytics dashboards. This creates a more integrated editorial workflow where content quality and performance are evaluated together.

AI-powered GEO and AEO content checks Editor experience

We’re expanding Content Checks with AI-powered guidance focused on Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO). Rather than only validating traditional SEO best practices, Prepr will help editors create content that’s better suited for AI search, knowledge retrieval, and modern discovery platforms.

The AI assistant provides recommendations around content structure, completeness, clarity, and semantic quality, helping teams produce content that’s easier to index, understand, and surface across both search engines and AI-powered experiences.

Automatic redirects for slug changes Editor experience

Changing a page slug should never result in broken links. Prepr will automatically generate redirects whenever an editor manually changes the slug of a published content item. This eliminates the need to manually configure redirects after URL changes, preserving existing links, maintaining search engine rankings, and ensuring visitors are seamlessly redirected to the updated page.

Redesigned access token management Platform & Administration

We’re redesigning the access token experience to make token creation significantly easier to understand. Instead of presenting every configuration option on a single page, users will first choose the type of token they want to create, such as GraphQL, REST API, Personal Access Token, or MCP, and are then guided through only the settings relevant to that token.

By separating token types into dedicated flows, the interface reduces cognitive load, improves permission management, and provides a scalable foundation for introducing future authentication methods without increasing complexity.

Ongoing editorial improvements Editor experience

We’re continuing to refine the day-to-day editorial experience with a series of productivity enhancements across the CMS. These include word counters for text fields, manual AI regeneration of image alt text, favoriting frequently used models, improved asset upload workflows, simplified Stack editing, and various usability improvements throughout the editor.

Additional enhancements include click-to-edit capabilities and commenting support within the Next.js package, more flexible asset validation, and streamlined content creation workflows. While individually small, these improvements collectively reduce friction and help editors work faster and more efficiently.

Improved CRM/CDP integrations for audience segmentation API & Integrations

We’re strengthening CRM and Customer Data Platform integrations to make external audience segmentation a first-class part of adaptive content delivery. Editors will be able to use audience segments that already exist in connected CRM and CDP platforms, eliminating the need to recreate segmentation rules inside Prepr.

By combining external customer intelligence with Prepr’s personalization capabilities, organizations can deliver more relevant content experiences based on campaign audiences, customer lifecycle stages, lead status, or other existing segmentation strategies. This creates a more seamless personalization workflow while maximizing the value of existing marketing technology investments.