CX Circle's Big Bang: Contentsquare unleashes AI that works for you

Contentsquare's CX Circle event in New York City wasn't just about announcements—it was about fundamentally shifting how teams interact with customer data. The core message was clear: Contentsquare is taking the heavy lifting out of analytics by putting autonomous AI to work on your most time-consuming problems.

The key takeaway? An incredible array of new AI-powered capabilities, led by an entirely new kind of analytics agent, are rolling out now.

The Big Bang: Sense analyst, the AI agent that solves your problems

Imagine waking up in the morning and the most complex, time-consuming parts of your daily analysis—the hours spent pulling data, comparing segments, and summarizing findings—are already done. That's the vision for Sense Analyst.

Sense Analyst is an autonomous AI agent that doesn't just surface data; it acts as a true analyst. It can autonomously decide to dive deeper into an issue, reason across multiple Contentsquare capabilities (like Heatmaps, Session Replay, and Journey Analysis), and deliver a clear, prioritized list of what changed, what matters, and what you should do next.

This AI agent tackles the complete workflow of analysis, automating:

• Site and zone mapping: automatically organizing your site and breaking down pages into elements without manual tagging.

• Complex comparisons: instantly comparing user segments, pages, or journeys at scale, applying expert best practices to find hidden opportunities.

• Error and session analysis: flagging technical issues and summarizing hundreds of sessions at once to identify optimizations.

• Parallel analysis: running multiple complex analyses simultaneously and combining results for deeper, richer insights.

In essence, Sense Analyst moves you from drowning in dashboards to acting on clear, expert-level recommendations in seconds.

Making it easy to get started: AI Mapping Assistant

Getting any analytics tool set up and accurately configured can be a major hurdle. Contentsquare is making this much easier with its new AI Mapping Assistant.

This feature eliminates the pain of manual tagging and configuration. For example, if you're an ecommerce company, you can now simply tell the AI assistant, "Group all different types of shoes", and it’ll automatically generate the rules and conditions to map those pages and elements correctly. This dramatically saves setup time, making the platform easier to access and benefit from sooner..

This is more than just looking at URLs and events. It’s about customizing the insights you want to see, from products, categories, or segments. 

Making data actionable and accessible

The next wave of announcements at Contentsquare's CX Circle event focused on making your data smarter and empowering you to act on it immediately.

Effortless experiments with A/B testing workflow

Data is only valuable when you can act on it. The new A/B Testing Workflow creates a seamless, circular process. You can move directly from an insight in Contentsquare to creating a corresponding experiment in a key partner's A/B testing tool, and then instantly see the results visualized back within Contentsquare. This allows teams to move from insight to experiment creation in minutes, not hours.

Contentsquare will be announcing more integrations soon.

The foundation: Data Connect and Chat with Sense enhancements

All this AI magic relies on best-in-class data capture. Data Connect, which is now generally available (GA), ensures the underlying foundation of data is robust and can be easily exported to your chosen data lake or business intelligence (BI) workflow with a simple click. At CX Circle, the audience heard how Accor, one of the leading hotel brands, created an AI agent to surface behavioral insights directly in Figma, helping UX teams design with context through a combination of Contentsquare, Google Analytics, and Qualtrics data. 

The popular Chat with Sense, which has been adopted by over 80% of Contentsquare customers, also saw major upgrades:

• New Error Summaries takes complex technical errors and translate them into simple, actionable insights, explaining how the error impacts the user journey and what to do next.

• Session Replay Summaries can now summarize up to 100 sessions at a time, saving analysts countless hours of video watching.

Seamless integration: The MCP Server

Contentsquare is looking beyond its own platform with the Model Context Protocol (MCP) Server. This server is a way for Contentsquare's analysis capabilities—the same core technology powering Sense Analyst—to communicate with other AI agents and large language models (LLMs).

This means executives and advanced users can access Contentsquare insights right where they work. As demonstrated at the event, you can ask an analytics question directly in tools like Claude (or eventually others like ChatGPT or Gemini) and the MCP Server will pull the relevant Contentsquare data to give you an answer, without ever needing to log into the platform. The real power lies in being able to combine Contentsquare data with additional workflow tools like Jira or Slack, to fully understand the status of CX initiatives. It’s about democratizing insights, rather than making data hard to access. 

Filling data gaps you didn't know you had: Loris

Digital experience is no longer just about clicks and scrolls—it’s increasingly conversational. With the intent to acquire conversational intelligence platform Loris, Contentsquare is expanding its view of the customer journey to include support and service interactions.

Loris analyzes text and voice interactions—from support tickets to in-product chat—to surface sentiment, intent, and friction points that traditional tools miss. By combining Loris’ conversational insights with Contentsquare’s behavioral data, businesses gain a complete 360-degree view of the customer. This is crucial as more companies automate support with AI agents, needing a way to measure the quality of the experience and prevent a Klarna-like situation of cutting human support too soon. There will be more on this as Contentsquare progresses with its acquisition of Loris. 

Expanding to mobile: Swift UI Autocapture

Finally, Contentsquare affirmed its commitment to mobile experience with the announcement of Swift UI Autocapture. This feature brings the powerful, tagless data capture capabilities of Contentsquare to the latest generation of Apple's mobile development framework, ensuring teams building cutting-edge iOS apps can immediately start capturing rich, deep behavioral data without complex manual coding.

The announcements from CX Circle clearly position Contentsquare as an AI-first platform dedicated to moving customers from data overload to decisive, revenue-driving action.

What part of the ’Analytics on Autopilot’ vision are you most excited to see implemented in your own workflow?