Google Looker

AI-Powered Conversational Analytics

Looker's Conversational Analytics transforms static dashboards into active workspaces where governed agents interpret and execute on data. Powered by Gemini, it lets business users move from natural-language questions to automated decisions in seconds, with instant AI-powered summaries and deep-dives grounded in a single source of truth.

Empower any business explorer to get accurate, audit-ready insights without waiting for a technical analyst.

Universal Semantic Layer with LookML

Looker's semantic layer acts as the intelligent brain above your cloud warehouse, translating complex SQL into business language once. By defining business logic in LookML, you create the definitive source of truth for metrics, whether powering a chart or an AI agent.

Eliminate agent hallucinations and ensure total consistency across your entire enterprise stack.

Build Custom Data Experiences and AI-First Apps

With Looker APIs and LookML, you can move rapidly from raw data to sophisticated, embedded data products. Ship production-ready, conversational AI within any application by integrating Gemini-powered natural language querying via low-code iframe implementations or extensible SDKs.

Create deeply integrated, value-driving data experiences in your customer-facing applications.

Looker on Google Cloud

Looker on Google Cloud integrates seamlessly into the secure Google Cloud ecosystem, offering SSO with Google Cloud IAM, private networking, seamless integration with BigQuery, and a unified Terms of Service.

Simplify and secure your analytics with enterprise-grade governance and compliance.

AI-Driven Self-Service for Every User

Looker reimagines self-service for the agentic era with Gemini-powered assistants. Users can use natural language to build sophisticated visualizations, craft custom expressions, and launch deep-dives with AI Quick Starts, plus blend ad-hoc CSVs and local files alongside governed LookML models.

Enable anyone to move from a spontaneous question to a trusted, data-driven decision without leaving their flow of work.

Seamless BigQuery and Data Studio Integration

Looker and BigQuery form a dynamic data analytics powerhouse, transforming raw information into actionable insights. The integration with Data Studio (formerly Looker Studio) lets users connect to Looker's semantic model and analyze, explore, and visualize that data, bringing together governed and ungoverned data.

Unlock BigQuery's full potential and combine governed data with self-serve analysis.

• Useful category fitGoogle Looker gives buyers a focused option for aI Insights Tools workflows.
• Can reduce manual effortThe tool can help speed up repeated tasks when the process is clearly defined.
• Works best inside a stackIts value increases when output moves into business, content, customer, document, or automation systems.
• Good comparison candidateIt belongs in the same evaluation set as other aI Insights Tools tools.

• Needs human reviewAI output should be checked before it affects customers, rankings, revenue, compliance, or brand trust.
• Pricing can change quicklyPlan limits, credits, model access, and team features should be checked before rollout.
• Not a complete strategyThe tool improves execution, but it does not define goals, messaging, process ownership, or quality standards.
• Workflow fit matters more than noveltyIf the team does not have a recurring use case, the tool may become another unused subscription.

Build Custom Data and AI Applications

Looker's embedded analytics and APIs let you move rapidly from raw data to sophisticated, data-driven products. With LookML, you can create expedited data-to-UI pipelines and ship production-ready, conversational AI within any application by integrating Gemini-powered natural language querying via a low-code iframe implementation or extensible SDKs. The general availability of Looker APIs for Conversational Analytics allows developers to build custom multi-turn agentic workflows directly into customer-facing applications.

Monetize Your Business Data

Looker enables you to turn your data into a revenue-generating asset. By leveraging Looker's semantic layer and APIs, you can create data products and services that can be sold or shared with customers and partners. The platform's governed, consistent metrics ensure that any data you expose is accurate and trustworthy, helping you build new business models around your data.

Analyze Marketing Data

Looker helps you analyze marketing data by providing a unified, governed view of your data across multiple clouds. With its semantic layer, you can define business logic once and use it to power dashboards and AI agents, ensuring consistent metrics for marketing performance. The platform's self-service BI capabilities allow marketers to explore data, build visualizations, and get answers quickly, improving decision-making and campaign effectiveness.

Enable More Productive Collaboration

Looker fosters collaboration by providing a single source of truth for your metrics. With LookML, you can centrally define business rules and definitions in a Git, version-controlled data model, ensuring everyone works from the same governed data. The platform's conversational analytics and dashboard agents allow teams to interact with data using natural language, share insights, and trigger actions directly from dashboards, streamlining workflows and improving productivity.

Define the exact aI Insights Tools workflow Google Looker should support.

Compare it with closely related AI tools in the same category before committing.

Set review rules for accuracy, privacy, brand voice, compliance, and final approval.

Connect useful outputs to the wider stack instead of leaving them inside the AI tool.