Contentsquare Announces New AI-First Experience Platform to Optimize Every Human and Agent Journey

The platform unifies every signal across web, mobile, conversations, LLMs, and agents — turning them into predictions that drive action across the full workflow, from design to testing to deployment. New capabilities include LLM and chatbot analytics, feature-level benchmarking, and agentic experimentation. 

NEW YORK, Oct. 13, 2026 /PRNewswire/ -- Contentsquare today announced its reimagined Experience Platform, built to fully understand and optimize human and agent journeys, grounded in trillions of interactions across industries, the deepest behavioral and contextual dataset in the market. Designed for the AI era, it captures every signal in real time — not just traditional human browsing, but multi-device journeys, voice and chat conversations, and the rising wave of LLM and autonomous AI agent interactions.

"The rules of customer experience are being rewritten," said Jonathan Cherki, CEO and Founder of Contentsquare. "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."

"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," said Feliz Papich, SVP, Digital Technology, Experience & Insights at CROCS. "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."

Decoding the human and agent experience

While most analytics tools were built for a world of clicks and pageviews, Contentsquare's Experience Platform captures every signal across web, mobile, conversations, and AI agents into a single foundation and 360 view of each user experience over time. New and expanded capabilities 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.

The platform extends via the Model Context Protocol (MCP), bringing trusted experience data into the tools teams already use — including Claude, Microsoft Copilot, ChatGPT, Figma, Dust, Cursor, VS Code Copilot, and Amazon QuickSight.

Proactive AI that tells you what matters, not just what happened

The platform's agentic AI layer, Sense, identifies friction and performance opportunities, quantifies the financial impact, and writes emails, tickets, and notifications directly into a team's existing workflow — cutting through the noise to show what's actually worth a team's next hour, explained in plain terms and ranked by business impact.

A new Benchmarks capability, built on ten years of zone-level data, compares specific features, elements, and flows against industry peers. It doesn't just show what's different, it shows whether that difference actually leads to better performance, so you know exactly where you stand and can make changes with real confidence.

Sense is getting more visual with Visual Stories - and smarter, with memory and context. It's now available as a mobile app so you can just access sense anytime, on the go. It's like a new member of your team: on Microsoft Teams or Slack every morning, delivering critical customer insights and revenue opportunities before you've even opened the platform.

Sense finds it, designs it, tests it and ships it

Sense now includes native agentic experimentation — forming hypotheses, designing and coding, launching tests, and validating the revenue impact, all in one place. Sense can run this loop end to end — all you need to do is approve.

Contentsquare also announced advanced integrations with best in class testing and personalization partners like Dynamic Yield, Optimizely, and Kameleoon for deeper testing and personalization needs.

"AI is only as powerful as the context behind it," said Jonathan Cherki. "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 dreams of truly understanding the lifetime value of its customers. Now, it's finally possible."

Availability

The new Contentsquare Experience Platform is available in beta today. Broader access will follow in phases.

About Contentsquare

Contentsquare is the experience platform built for the agentic era. It connects every signal and every journey - human and agent - into one place. Then its AI, Sense, gets to work: it finds what matters, quantifies the impact, and shows exactly what to do next, feeding every decision and outcome back into a continuous loop of improvement. More than 1.3 million websites worldwide rely on Contentsquare to grow their business, build customer loyalty, and operate with greater efficiency in a constantly changing world. To learn more, visit www.contentsquare.com.

SOURCE ContentSquare Inc.