Unlock the Power of AI-Powered Site Search

 

In this webinar, you’ll learn how Coveo uses AI and generative answering to transform site search into an engine for personalized content discovery. Coveo Solution Engineer Paul Sheridan demos the platform, showcasing Coveo’s dynamic search, personalization, relevance tuning, and other capabilities.

Coveo Sr. Product Marketing Manager Kerri-Anne Beech adds to the discussion by highlighting five best practices companies can take to transform site search with AI.

 

Learn how your business can create conversational search experiences with website visitors by generating tailored responses from your own data sources.

 

Coveo's AI Search and Generative Experience Platform

 

Coveo's composable AI search and generative experience platform combines the power of machine learning with intelligent content unification. With 11 AI models, Coveo supercharges content discovery and hyper-personalization across the entire customer journey.

 

 

Models like Query Suggestions, Automatic Relevance Tuning, and Content Suggestions help guide visitors as they browse and seek information across the online digital buying journey.

 

A key differentiator of Coveo's platform is its ability to unify content across disparate systems like CMS, CRM, intranets, and more. This unified data layer creates a cohesive, brand-consistent experience no matter which customer touchpoint is used. AI does the heavy lifting so you don't have to. This allows you to drive personalized engagements with fewer demands on your internal resources.

 

5 Best Practices for Implementing AI Site Search

 

Implementing an AI-powered site search experience requires strategic planning anchored in best practices. We address five key areas where we feel companies should focus to maximize the business impact of this game-changing technology.

 

 

Best Practice #1: Design an Experience-Driven UI

 

An intuitive user interface is critical for frictionless content discovery. Sheridan demonstrates how Coveo enables businesses to create search experiences tailored to user expectations. Features like prominent search boxes, ML-powered "type-ahead" suggestions, and dynamic filtering guide users smoothly from initial input to the perfect content.

 

Best Practice #2: Personalize Experiences with Relevant Results

 

Generic, one-size-fits-all search results are a relic of simpler digital times. Today, customers expect hyper-relevant experiences contextualized to their histories and real-time intent. Coveo's got you covered here — our technology learns from user behavior with automatic relevance tuning that surfaces the appropriate content for each visitor. This AI-driven personalization feature ensures the right results are prioritized from the start.

 

Best Practice #3: Do More With GenAI

 

Coveo is at the forefront of leveraging GenAI to create intelligent and productive search experiences. Our Relevance Generative Answering (RGA) feature provides conversational responses to user questions. Instead of just listing links, RGA synthesizes information from your own curated content sources and generates tailored results. This allows customers to get succinct, helpful responses without having to click through multiple pages. It also maximizes the value of existing content assets.

 

Best Practice #4: Create a Content Management Strategy

 

Having a content management strategy is an important piece of the site search relevance puzzle. Data hygiene and content curation are essential for optimal AI search performance. Coveo helps businesses implement best practices like enforcing consistent metadata tagging, surfacing vetted and up-to-date sources, and unifying content intelligently across systems. A solid content strategy ensures your site visitors get accurate, high-quality results.

 

Best Practice #5: Learn From Customer Insights

 

AI search optimization is an ongoing process. It requires continuous learning and improvement because content is constantly being changed and updated. To address this, the Coveo’s platform has robust analytics that help you identify content gaps, understand user behavior trends, and measure engagement metrics. This rich data fuels AI models that dynamically refine and enhance the customer experience over time.

 

 More About Relevance Generative Answering

 

Our Relevance Generative Answering technology represents a major leap forward in intelligent content delivery. Sheridan demonstrates how this powerful AI capability allows companies to provide natural language responses synthesized directly from their own data sources and knowledge bases.

 

 

A key advantage to RGA is that it gives you the ability to curate and control the content used to generate answers. This is an important feature for enterprises that ensures responses remain accurate, secure, and fully aligned with your organization's approved information. Citation details also boost transparency and trustworthiness.

 

RGA can handle a wide range of query types from simple questions to complex multi-part instructions. The AI models are trained to understand context and intent so they can provide relevant, tailored responses that emulate human-quality writing.

 

For businesses, this technology reduces customer effort. It increases self-service success rates. It also drives more value from existing content investments. Whether for customer-facing applications or internal enterprise search, our RGA feature is redefining what's possible for delivering accurate answers at scale.

 

AI-Powered Search Helps You Convert High-Intent Leads

 

AI search gets better over time as it ingests more data. This is why we provide a robust analytics suite with a rich data stream that allows you to identify areas for improvement. For example, you can pinpoint topics where users are struggling to find satisfactory results based on query intelligence and proactively create new content to fill those gaps and satisfy demand. Individualized, AI-powered search results can increase conversions and improve brand loyalty. A

 

 

The analytics dashboard surfaces valuable insights around important metrics like average click rank and click-through rates for particular queries. This highlights opportunities to tweak the AI models and relevancy strategies to boost performance, reduce customer effort, understand customers more fully across channels, and make every experience an individualized one.

 

Coveo's machine learning models are dynamically updated and refined based on this analytics intelligence. As users continue to interact with your site, the AI keeps learning - ensuring your search experiences only get smarter and more personalized over time.

 

Don't miss this opportunity to gain firsthand knowledge on creating an experience-driven UI. This webinar focuses on showcasing Coveo's groundbreaking AI-powered site search technology and how it can overhaul your site search experience. Register now and take the first step towards using search to drive a cohesive digital customer experience.