Contentsquare Launches New AI Agent And Analytics Capabilities for Cross-Channel Journeys

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AI is rapidly changing how customers discover and interact with brands. Journeys that once happened on websites and mobile apps now begin inside AI assistants, chatbots, and conversational platforms like ChatGPT. For brands, this creates a new challenge: how do you understand customer journeys that now span humans, LLMs and AI agents?
Contentsquare is expanding its platform to answer that question. New capabilities bring together signals from websites, mobile apps, AI assistants, and support conversations into one connected system - giving teams a 360 view of modern customer journeys.
"Customer experiences today aren't just human-driven - they involve LLMs, AI agents, and multiple digital touchpoints that act alongside them," said Jonathan Cherki, CEO and Founder of Contentsquare. "Brands that want to succeed in this agentic era need visibility into every interaction; from conversations and support tickets to social feedback and AI agent behavior. With Sense Analyst and Contentsquare's 360 experience intelligence, teams can finally connect the dots, prioritize what matters most, and act in real time to improve experiences, retention and growth."
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Sense Analyst: Configurable AI Agent delivers powerful insights in context
Sense Analyst, Contentsquare's analytics agent, is now fully configurable to each organization's goals and priorities. Rather than simply reporting metrics, Sense Analyst proactively identifies opportunities for improvement, surfaces insights in context, and helps teams focus on the actions that will have the greatest impact on customer experience and business performance. Sense Analyst provides:- Personalized insights aligned with each user's projects, KPIs, and industry context
- A customizable Newsroom where AI agents work 24/7 to analyze experience data, detect issues and growth opportunities, and surface the most important actions based on business impact
- Scheduled delivery of insights directly to email inboxes so teams stay informed without constantly monitoring analytics tools
- Which prompt generates conversion and revenue ?
- How should we optimize experiences built within AI ecosystems?
- Should we invest more in LLM apps or AI assistant experiences?
- Are customers returning through these channels?
- The traffic that originates from LLM chatbots
- Navigation and conversion for LLM-referred traffic
- What customers are saying, their sentiment, and where they encounter friction
- How they go from conversation to website and vis and versa
- Which changes will have the biggest business impact on experience and loyalty
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