Customer journeys no longer start on your website—and Contentsquare is redesigning analytics to keep up.

As AI assistants like ChatGPT become a primary entry point for discovery, the company has rolled out a major platform expansion to help brands track, analyze, and act on journeys that now span humans, LLMs, and AI agents.

The update introduces a unified system that connects signals from websites, mobile apps, AI assistants, and customer conversations—effectively creating a 360-degree view of what Contentsquare calls the “agentic” customer journey.

Analytics for a Post-Website World

For years, digital analytics revolved around websites and apps. That model is breaking.

Today, users increasingly discover products through AI prompts, interact with brands inside chat interfaces, and only later (if at all) visit traditional digital properties.

That fragmentation creates a visibility gap. Brands can see what happens on their sites—but not what happens before or alongside those interactions.

Contentsquare’s latest release aims to close that gap by bringing AI-driven touchpoints into the analytics fold.

Meet Sense Analyst: AI That Tells You What to Do

At the center of the update is Sense Analyst, the company’s configurable AI agent.

Unlike traditional dashboards that surface metrics, Sense Analyst is designed to interpret them—proactively identifying issues, surfacing opportunities, and prioritizing actions based on business impact.

Key capabilities include:

• Personalized insights aligned to KPIs and industry context

• A customizable “Newsroom” where AI agents continuously analyze experience data

• Automated insight delivery via email to reduce dashboard fatigue

This reflects a broader shift across analytics: from reporting what happened to recommending what to do next.

ChatGPT Becomes a Measurable Channel

One of the more notable additions is visibility into interactions happening inside ChatGPT apps.

Brands building experiences within LLM ecosystems can now track:

• How users discover them via prompts

• Engagement within AI-driven interfaces

• Movement between AI assistants and websites

That opens the door to entirely new questions:
Which prompts drive conversions? Are AI-native experiences worth investing in? Do users return via these channels?

For early adopters like Accor, this kind of visibility is critical as they experiment with AI-first customer experiences.

LLM Traffic Is Now a First-Class Signal

It’s not just about discovery—AI is also reshaping how traffic reaches websites.

Contentsquare now provides analytics for LLM- and agent-driven traffic, helping teams distinguish between human and AI interactions and understand how each behaves.

That includes insights into:

• Traffic originating from AI chatbots

• Navigation patterns of AI-referred visitors

• Conversion performance of these new segments

As AI agents increasingly act on behalf of users, this level of visibility could become essential for optimizing content and conversion strategies.

Conversation Intelligence Meets Behavioral Data

The platform is also doubling down on conversation intelligence, integrating insights from support tickets, chats, reviews, and social media.

Powered in part by its Loris acquisition, this layer connects what customers say with what they do—and what it means for revenue.

That unified view helps teams:

• Identify friction points and sentiment trends

• Track movement between conversations and digital interactions

• Prioritize fixes based on business impact

In a landscape where journeys often begin with a question or complaint, this connection between voice and behavior is increasingly valuable.

Analytics, Now Embedded in AI Workflows

In a nod to how teams actually work today, Contentsquare is pushing insights beyond its own platform.

The company is integrating with tools like Microsoft Copilot and other AI assistants using the Model Context Protocol (MCP), allowing users to query experience data directly within their workflows.

Instead of opening dashboards, teams can ask questions like “Where is friction highest this week?” and get immediate answers.

It’s a small UX shift—but one that reflects a larger trend toward ambient, embedded analytics.

Industry Context: The Rise of “Experience Intelligence”

Contentsquare’s move comes as competitors like Adobe, Salesforce, and Google race to unify customer data across channels.

What’s new here is the explicit focus on AI-native touchpoints—something most legacy analytics platforms weren’t built to handle.

As LLMs become intermediaries between brands and customers, understanding those interactions may become as important as tracking website clicks.

Why This Matters

The shift to AI-mediated journeys isn’t theoretical—it’s already happening.

Brands that fail to measure these interactions risk losing visibility into the earliest—and often most influential—stages of the customer journey.

Contentsquare is betting that the next generation of analytics won’t just track users—it will track conversations, agents, and intent across an increasingly complex ecosystem.

Bottom Line

Digital analytics is being redefined in real time.

By bringing AI assistants, conversations, and behavioral data into a single system, Contentsquare is positioning itself for a future where customer journeys are no longer linear—or even fully human.

For marketers and product teams, the message is clear: if you can’t see AI-driven interactions, you can’t optimize them.

Get in touch with our MarTech Experts.