Artificial Intelligence
Empower smarter decisions with artificial intelligence
Insights from data means nothing if it fails to result in action. Contentsquare leverages machine learning to score intent and experiences from trillions of interactions and data points across the enterprise to provide more valuable insights.
Based on years of learning from top businesses, our proprietary models let your team anticipate customer behaviors, feelings and intent based on current and past actions, ensuring your team can optimize the customer experience at the right time and the right place.

A powerful artificial intelligence engine
At the heart of Contentsquare’s product is our artificial intelligence (AI) engine, which leverages machine learning to score intent and experiences from trillions of data points and deliver intelligent recommendations for your team to act upon.
The AI engine powers all of our products, delivering faster time to insights and even faster decision-making.
Most common use cases
- 01 Intelligent alerts
- 02 Intent-based scoring
- 03 Automapping and autozoning
Intelligent alerts
Contentsquare learns how your business metrics normally fluctuate and delivers smart alerts when deviations occur from what is normal. Set up intelligent alerts anywhere within Contentsquare – from key points in the customer journey to specific interactions points with content.

Intent-based scoring
Score experiences based on customer intent. Establish a baseline of customer frustrations during the user journey and prioritize actions to improve customer experience satisfaction.

Automapping and autozoning
Contentsquare intelligently recognizes types of web pages for digital experience analytics, as well as automatically detects zones on pages, speeding up time to insights. Behaviors, intent and feelings are more easily analyzed, including specific interactions with content elements, such as video, sliders and other interactive elements.

Frequently asked questions
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Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. Applications of AI in digital experience analytics includes AI monitoring that predict customer experience issues and opportunities, AI Insights that deliver smart alerts to drive action, and intent-based scoring.