# How do I optimize my website with Contentsquare? ### Contentsquare AI Assistant Automatically analyze all your customer interactions—whether they’re chat, email, or voice. Discover why customers reach out, how your team handles conversations, and what to improve. # Turn customer conversations into lower costs and higher loyalty - **Core capabilities** ## Learn from customer conversations at scale Make conversations your go-to source of customer insights. Use them to spot quality issues, uncover the root causes, and find improvement opportunities—from automation possibilities to emerging problems. ### Conversation Insights Understand the root causes behind customer issues. Stop waiting on surveys or sample analytics. Instead, analyze every customer interaction to uncover what’s driving contact and how sentiment shifts over time. ### Quality Assurance Move from reactive audits to proactive quality management. Replace slow, manual QA with automatic evaluation of every conversation. Get consistent, objective views of policy adherence, issue resolution, and agent performance. ### AI Agent Analytics Understand how your AI agents perform when trust is at stake. Your AI agents are handling more customer conversations, but can you depend on them? See where automation succeeds or falls short, and where customers need human support. ## Common use cases Use customer conversations to fuel growth, retention, and cost-efficiency. Spot what’s driving demand, creating friction, or putting retention at risk. So you can take proactive, data-driven action instead of playing catch-up. ### Improve AI deflection without impacting the customer experience Get a fuller picture of your customer experience, including changes in sentiment, exchange patterns, and root causes of contacts. From here, planning your support strategy is easy—understand which interactions AI can handle, which need human assistance, and where your AI agents need refinement. ### Automate manual tasks and proactively address customer issues With every customer interaction analyzed and categorized automatically, there’s no need for slow after-call work. The analysis also surfaces emerging issues and common questions, so your team can address problems early. ### Use customer conversations to inform better product decisions Product issues show up in customer conversations long before they appear in surveys or usage data. Conversation Intelligence highlights friction points, feature gaps, and new customer needs, and connects them to conversation topics, sentiment, and trends. ### Spot churn signals early and act before it's too late Changes in customer contact frequency, sentiment, and unresolved issues can be early signs of churn. Conversation Intelligence keeps an eye on these signals and highlights where customers are getting frustrated. ## Benefits of Conversation Intelligence ### How can Conversation Intelligence help your role? - **CMO / VP Digital Marketing** - Reduce friction that drives cost, churn, and brand risk. - **Digital Marketing / Growth Lead** - Fix what’s driving contact and scale up support. - **Chief Customer Officer (CCO)** - Spot churn risks early and act with confidence. - **VP of Customer Support / Experience** - Lower costs while improving experience quality. - **Director of QA / Quality Ops / L&D** - Deliver consistent quality without manual reviews. ## Frequently asked questions - **How does Conversation Intelligence complement Contentsquare?** Contentsquare shows what happens in digital journeys and product usage. Conversation Intelligence adds what customers say and why they reached out, connecting support signals to product and digital behavior for a more complete view. - **What will I get in the first few weeks?** A clear view of top contact drivers and emerging issues, consistent agent assessment, and prioritized coaching opportunities based on real conversations. - **What channels does Conversation Intelligence analyze?** Conversation Intelligence analyzes voice, chat, and email conversations to uncover drivers, sentiment, root cause, and performance across human and AI agents.