Master Gemini in Looker with our step-by-step tutorial, detailed feature walkthrough, and expert tips.
Explore the key features that make Gemini in Looker powerful for business intelligence workflows.
Gemini in Looker is Google's generative AI assistant embedded directly into the Looker BI platform. It includes six core capabilities: Conversational Analytics for asking questions in natural language, Visualization Assistant for creating charts, Formula Assistant for table calculations, Automatic Slide Generation for exporting dashboards to Google Slides, LookML Code Assistant for building semantic models, and Report Assistant for generating reports. All features are grounded in Looker's governed LookML semantic layer to ensure trusted, governed responses.
Gemini in Looker is sold as a paid add-on to a Looker (Google Cloud core) or Looker (original) license. Google does not publish fixed public pricing for the add-on. However, Looker platform pricing itself typically starts at approximately $5,000/month for a standard license, and the base Looker (Google Cloud core) edition is listed from around $5,000/month on Google Cloud's pricing page. The Gemini AI add-on cost is negotiated on top of this base through Google Cloud sales as part of enterprise BI agreements, alongside underlying Google Cloud and BigQuery consumption costs. Organizations should expect total annual commitments in the range of $60,000â$300,000+ depending on user count and data volume. Contact Google Cloud sales for a custom quote.
Yes. Looker connects to over 50 supported databases including Snowflake, Amazon Redshift, PostgreSQL, MySQL, Oracle, and SQL Server, and Gemini in Looker operates on top of any of these connections through the LookML semantic layer. That said, the tightest integration and best performance come with BigQuery, particularly for AI features that benefit from in-warehouse processing. The semantic layer abstraction means the AI experience itself is consistent regardless of underlying database.
Compared to the other Business Intelligence AI tools in our directory, Gemini in Looker stands out for its grounding in LookML â a code-first semantic layer that enforces governed metric definitions across the organization. Power BI Copilot is more accessible for self-service Excel-style analysts within the Microsoft 365 stack, while Tableau Pulse focuses on automated metric monitoring and natural language summaries. Gemini in Looker is generally the strongest choice for organizations already on Google Cloud with mature LookML models and a need for both conversational analytics and developer productivity features.
Gemini in Looker inherits Looker's existing security model, including row-level access controls, user attributes, and folder permissions, so AI-generated responses only show data the user is already permitted to see. Google Cloud states that customer data submitted through Gemini in Looker is not used to train foundational models, and processing happens within Google Cloud's enterprise infrastructure. Administrators control which features are enabled at the instance level through Looker admin settings.
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Tutorial updated March 2026