Contentsquare Unveils AI Agent and Analytics for Customer Insights

Sense Analyst: Proactive Insights for Digital Teams

Sense Analyst is a fully configurable AI agent designed to align with specific business KPIs and industry contexts. Instead of just reporting basic metrics, it proactively identifies opportunities for improvement and surfaces insights in context. This allows marketing managers and social media teams to focus on actions that have the greatest impact on customer experience and business growth.

The tool features a customizable Newsroom where AI agents work 24/7 to analyze experience data and detect issues. Teams can receive scheduled delivery of these insights directly to their email, ensuring they stay informed without constant manual monitoring. For brands looking to scale their digital presence further, Social9 provides an AI-powered social media content creation platform that helps enterprises and agencies generate and schedule optimized content across all major social networks in 50+ languages.

Visibility into the ChatGPT App and LLM Ecosystem

As AI assistants become a primary channel for discovery, Contentsquare now provides visibility into activity within ChatGPT apps. This allows brands to see how customers discover them through specific prompts and how they move between AI assistants and websites. Organizations can finally answer critical questions regarding which prompts generate revenue and whether they should invest more in LLM-based apps.

The rise of AI agents is also shifting how websites are navigated. New LLM analytics provide visibility into whether visitors are human or AI-driven. This includes tracking traffic originating from LLM chatbots and monitoring the conversion rates for LLM-referred traffic. Understanding these modern customer journeys is essential for maintaining brand consistency as AI plays a larger role in purchasing decisions.

Conversation Intelligence and Sentiment Analysis

The new conversation intelligence solution, powered by the Loris acquisition, captures customer interactions across support tickets, calls, and in-product chats. This system is enriched with signals from reviews and social posts, providing a broader view of customer feedback. By connecting these conversations with digital behavior, teams can identify where customers encounter friction and which changes will drive the most loyalty.

Key benefits of this intelligence include:

• Root Cause Analysis: Uncovering what drives customer contact and how sentiment shifts over time.
• AI Agent Performance: Tracking containment and abandonment rates to see where AI automation succeeds or fails.
• Quality Management: Replacing manual audits with automated evaluations of every conversation to track policy adherence.

Experience Intelligence in the Workflow

Contentsquare is extending its intelligence into daily tools like Claude, Cursor, and Microsoft Copilot. By using the Model Context Protocol (MCP), experience data becomes accessible to AI agents within the tools teams already use. This enables users to ask natural language questions, such as "Where is friction highest this week?", and receive instant answers without switching platforms.

"Customer experiences today aren't just human-driven — they involve LLMs, AI agents, and multiple digital touchpoints," said Jonathan Cherki, CEO of Contentsquare. Organizations like Accor and Olaplex are already using these capabilities to redefine digital hospitality and improve conversion rates by up to 31% through data-driven redesigns.

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