Looker Embedded analytics are at the heart of many next-generation data products, enabling monetization with live metrics and customizable user experiences. In the AI era, users expect apps to be highly interactive and conversational, and for data to be contextual, accessible and intuitive. Today, we are delivering conversational analytics in Looker Embedded environments with the Conversational Analytics API, now generally available, extending the natural language experience users have grown to expect from Looker to more surfaces, limited only by customers’ imagination.
Leading the shift to composable and agentic BI
Organizations are building integrated data experiences that meet users where they work. This is happening alongside the rise of agentic IDEs, where developers use AI agents to plan, code, and execute complex engineering tasks. Leveraging Looker’s embedded architecture within these environments incurs many benefits:
- Differentiated agent experiences: Build high demand, unique conversational experiences that set your products apart.
- Accelerated data monetization and developer extensibility: Turn raw data into sophisticated embedded products, transforming data assets into high-margin revenue streams.
- AI-readiness in the IDE: Build with agentic IDEs with confidence, using Looker’s semantic layer to reduce hallucinations and maximize speed-to-market.
Conversational Analytics generally available for embedded users
Building on Looker’s existing embedded framework and governed semantic layer, you can now integrate Gemini-powered natural language querying and AI recommendations via a low-code iframe implementation or our extensible SDKs. This makes it easier to ship production-ready, conversational AI within any application.
With native support for querying multiple Looker Explores, a built-in code interpreter, and customizable theming, you can now provide a private-labeled, high-reasoning agent experience alongside your core features, bridging the gap between complex data models and intuitive user discovery.
Embed Conversational Analytics in Looker anywhere in your application using an iframe
Conversational Analytics now available from the Looker API
With our Conversational Analytics APIs, you can now build conversational experiences backed by Looker Explores directly within your customer-facing applications. By leveraging the Looker API, you can create multi-turn conversational workflows that offer AI-powered recommendations, while also verifying and explaining the underlying SQL query. The Looker API turns to the Looker SDK for user authentication and management, making it easy to integrate agentic conversations anywhere in your app.
Building a custom UI with Conversational Analytics in Looker API endpoints
Data exploration is a conversation away
The shift from static and inflexible dashboards to AI-driven exploration is transforming how businesses deliver value to their customers, empowering them to do more. Grounding these new conversational capabilities in Looker’s semantic layer means the insight accuracy you’ve always relied on from Looker is now available in third party applications, so you can know the insights are verifiable.
Whether you use the embedded iframe option or the Looker SDK, you can now build data experiences that don’t just show information, but engage users in a dialogue. To start building conversational experiences in your own products with Looker Embedded, check out the documentation and best practices guide.