Contentsquare has announced a reimagined Experience Platform designed to monitor and optimize digital journeys for both human users and autonomous AI agents.
Built to address shifting consumer behavior in the era of AI, the platform consolidates behavioral data across web, mobile, voice, conversational bots, and large language models (LLMs). By unifying these signals, the system aims to generate predictive insights across the entire digital lifecycle—from design and testing to deployment.
Jonathan Cherki, CEO and Founder of Contentsquare, highlighted the necessity of adapting to non-human traffic:
Jonathan Cherki, CEO and Founder of Contentsquare
“The rules of customer experience are being rewritten. Businesses now need a consolidated view of the full spectrum of customer interactions — across sessions, devices, and channels. Not only their customers, but also the LLMs and AI agents acting on their behalf. The winners will be those that can turn every signal into intelligence, and every insight into better journeys — quickly and automatically.”
Retailers are already feeling this shift. Feliz Papich, SVP, Digital Technology, Experience & Insights at CROCS, commented:
“Customers don’t move in a straight line anymore, they’re bouncing between our app, our site, a chatbot, sometimes an AI agent we can’t even see directly. Contentsquare connects all of it, tells us what to act on, and turns that into an ongoing loop, so we’re not just fixing what broke, we’re constantly improving the experience as it evolves.”
Expanding Beyond Clicks and Pageviews
Contentsquare’s updated architecture looks beyond conventional clickstream data to map the intersection between conversational interfaces, website journeys, and synthetic traffic. Key capabilities introduced in the platform include:
Human, LLM and agent interactions analytics, which separates and analyzes LLM and agent traffic alongside human sessions, so brands can optimize journeys for LLM referral and agentic commerce, not just human visitors.
Conversation intelligence and chatbot analytics, which brings voice and text conversations, chatbot interactions, and agent dialogue into the journey as events, and links conversations directly to on-site and in-app friction.
Multi-session journey analysis, tracking a single customer’s full path across sessions, channels and devices, and automated WebMCP monitoring, capturing autonomous agent activity most tools can’t see at all.
Multi-touch attribution model, which traces conversions across every touchpoint — including LLM and AI-referred traffic — rather than crediting only the last click.
To integrate with existing tech stacks, the platform leverages the Model Context Protocol (MCP) to send experience metrics into productivity tools and development environments such as Claude, Microsoft Copilot, ChatGPT, Figma, Dust, Cursor, VS Code Copilot, and Amazon QuickSight.
Agentic Intelligence and Experimentation
The update also expands on “Sense,” Contentsquare’s agentic AI layer. The engine analyzes journey data, quantifies the financial impact of customer friction, and feeds notifications and work tickets into communication channels like Slack and Microsoft Teams. It also introduces a Benchmarks tool that compares zone- and element-level performance against industry peers, as well as native agentic experimentation, which formulates hypotheses, generates code, and runs tests to measure revenue outcomes.
For broader personalization requirements, Contentsquare confirmed integrations with optimization providers including Dynamic Yield, Optimizely, and Kameleoon.
Discussing the data foundation required to support these features, Jonathan Cherki added:
“AI is only as powerful as the context behind it. A deep behavioral and contextual data foundation makes a real difference, and what excites me most is what it unlocks: the ability to understand more of the journey, make better decisions faster, and continuously optimize experiences for both people and agents. Every business brands dream of truly understanding the lifetime value of its customers. Now, it’s finally possible.”
The reimagined Contentsquare Experience Platform is currently available in beta, with general availability scheduled to roll out in phases.
