Prepr’s product roadmap

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

Q4 2026 & Q1 2027

Asset management with MCP server MCP server

Enable AI agents to add, update, and delete assets in Prepr through the MCP server.

Enhanced MCP server features and skills MCP server

Expand the MCP server with broader capabilities, allowing AI agents to perform more complex tasks while maintaining secure access control. Add reusable skills that package common workflows into higher-level actions, making AI integrations more powerful and easier to use.

Semantic search in UI and MCP Server MCP serverEditor experience

Search content items using natural language, making it much easier to find the right content across large content repositories.

New metrics & analytics tab Editor experience

Introduce a dedicated metrics and analytics experience that provides an overview of the overall impact of goals and experiments. Add in-depth metrics to individual content items and experiments, making it easy to understand performance at both an overall and granular level. These metrics form the foundation for AI Insights and AI Suggestions, creating a logical flow from understanding performance → identifying what we’ve learned → getting actionable recommendations → improving content and experiments.

Enhanced segment options by scroll depth and time spent Editor experience

Expand segment creation with behavioral criteria such as the time visitors spend on the website and their average scroll depth on specific pages. This enables more granular audience segmentation based on visitor engagement.

Automated personalization Editor experience

Automatically create audience segments based on website and visitor events. Use these segments to automatically create personalized content elements and run experiments, reducing the manual effort required to set up personalization.

AI Insights Editor experience

Introduce a generic AI Insights capability across the platform. AI will analyze metrics and performance data to identify what teams have learned from their goals, experiments, and other measurable outcomes.

AI Suggestions Editor experience

Turn insights into actionable recommendations. AI will suggest what teams should add, do more of, stop doing, or keep doing, and help transform these recommendations into impactful content items and experiments.

Multi-select enumerations Editor experience

Allow enumeration fields to support multiple selected values instead of being limited to a single option. Editors can use this to assign multiple categories, content types, product features, or labels without creating additional fields or complex reference structures.

Improved experiment overview and setup guidance Editor experience

Redesign the experimentation experience to make creating and managing experiments more intuitive. During setup, editors receive clearer guidance around required tracking, success metrics, traffic allocation, and experiment configuration. The experiment overview will also provide 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 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.

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.

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, simplified Stack editing, and various usability improvements throughout the editor.

Additional enhancements include click-to-edit capabilities and commenting support within the Prepr Toolkit, 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.