Your website is the front door to a larger content ecosystem. Visitors come to research, find answers, and make decisions. But the answer may be spread across marketing pages in your CMS, product and technical documentation, and support content in different systems and formats. Using Barca will show one search experience that connects that content, adapts to each questions, and reveals what visitors still cannot find. Most visitors begin their experience by searching using their own words in the search box on the corporate site. As they type, query suggestions surface what other visitors have actually searched for. Real queries learn from live traffic. And they don't need the exact words. Even a typo finds the right suggestions. The result page brings content from connected sources into one ranked list. Automatic relevance tuning pushes the most relevant results to the top, and the facets on the left adapt to each search, reordered and refilled for this query, not by hand. But we know search itself is evolving beyond one or two word queries. Visitors ask longer natural language questions and expect an answer they can continue exploring. Coveo retrieves relevant passages from across the indexed content combining several sources into one natural language answer when no single document holds it all. The answer stays tied to approved content and includes citations back to its sources. The visitor lands on the source document itself, not a summary of it. Every answer is grounded this way, anchored on your governed content with every claim traceable back to the document it came from. But the interaction doesn't end there. Visitors can ask a follow-up. Nothing is repeated here. The context from the first question stays with the session so the follow-up can be short. Once the query is sent, the question is analyzed, the content is searched through the index material. That time is retrieval working. Several passes across the full index pulling together what different articles each know so the answer isn't limited to one document. And then it lands grounded in your own governed content and cited. Now that we've seen what visitors experience, let's look under the hood at what makes it possible into the admin console. Everything starts with one index. Whatever visitor searches, it was gathered here first. Metadata and permission intact, no content migration to get it there. Coveo connects to your content wherever it lives. You can start with your CMS, Adobe, Optimizely, Sitecore, but content lives well beyond it, and this is where all of it comes together in one place. These are the cloud connectors. Coveo reaches each system directly, nothing to install. The everyday place nobody wants to migrate. Google Drive, ServiceNow, SharePoint, the support desk where a lot of the releancer actually live, Zendesk and some systems push their content straight in, Sitecore among them. Every connection made in that gallery lands back on this list. Everything feeding the search and security identities travel with all of it. The user interface is yours to choose. There is a recommended simple builder, a low code approach to stand something up quickly, and a full code approach where developers want complete control. Both use the same platform and the same index. The visitor searches came from here. No single model does all the work. Content is one half of Relevance. The other is a suit of purpose built models managed on the models page. Adding one is a click, and a catalog lists them. Relevance Generative Answering for the answer itself, predictive query suggestions for the search bar, content recommendation, dynamic navigation experience for facets, case classification for support. Each is aimed at a different part of the experience and the models are enabled by associating them with a query pipeline. Two are doing the work here. Semantic encoder matches on meaning rather than keywords, so a question finds the right passage even if the words don't line up. An automatic relevance tuning orders what comes back, all managed from the same platform. Now to analytics where the team measures and improves the experience itself. Search is a direct signal of customer intent. Every query is someone telling you what they came for. Content gaps filters to searches that returned zero results. What the content could not answer ranked by how often they were searched so the team knows exactly what to add next. We have seen connected content become one search experience, search adapted to visitors' language and behavior, and logger questions become grounded answers with citations. Content gaps then turns what visitors could not find into a rank plan to fill a gap.