Google's AI assistant integrated into Looker that helps users analyze data through natural language queries and generates insights from business intelligence dashboards.
Gemini in Looker is a Business Intelligence AI assistant that brings Google's Gemini generative AI capabilities directly into the Looker platform, enabling users to query data, build visualizations, and generate insights through natural language, with pricing available through Google Cloud's Looker enterprise licensing. It targets data analysts, business users, and BI developers who want to accelerate analytical workflows without writing complex LookML or SQL.
Launched in 2024 as part of Google Cloud's broader Gemini AI integration across its workspace and analytics products, Gemini in Looker introduces a suite of AI-powered features that span the entire BI workflow. Core capabilities include Conversational Analytics for natural language Q&A against semantic models, Visualization Assistant for generating chart configurations from prompts, Formula Assistant for creating ad-hoc table calculations, Automatic Slide Generation for turning dashboards into Google Slides presentations, LookML Code Assistant for accelerating semantic model development, and Report Assistant for building reports from descriptions. The tool is grounded in Looker's trusted semantic layer, which means AI-generated answers respect existing governance, access controls, and metric definitions rather than hallucinating against raw tables.
Compared to the other Business Intelligence tools in our directory like Tableau Pulse, Microsoft Power BI Copilot, and ThoughtSpot Sage, Gemini in Looker differentiates through its tight integration with Google Cloud's data stack â particularly BigQuery â and its grounding in LookML's modeled semantic layer. Based on our analysis of 870+ AI tools, this is one of the few BI assistants that combines content generation (slides, reports), code generation (LookML), and conversational analytics in a single offering. It is best suited for organizations already invested in Looker and Google Cloud who want to extend their existing BI investment with generative AI rather than adopting a separate AI analytics platform. Availability requires a Looker (Google Cloud core) or Looker (original) instance with the Gemini in Looker add-on enabled by a Google Cloud administrator.
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Allows users to ask natural language questions against Looker Explores and receive answers as visualizations, tables, or summary text. Powered by Gemini and grounded in the LookML semantic layer, it interprets business terminology consistently across the organization. This eliminates the need to know SQL or LookML syntax for ad-hoc analysis.
Helps developers write LookML code by generating dimensions, measures, and Explores from natural language descriptions. It accelerates the modeling phase of BI development, which is typically the most time-consuming part of standing up new data products in Looker. The assistant works inline within the LookML IDE.
Converts Looker dashboards directly into Google Slides presentations with AI-generated narrative text accompanying each visualization. This bridges the common executive-reporting workflow where analysts manually copy charts into Slides for QBRs and board decks. Resulting decks are editable in Slides for final formatting.
Generates appropriate chart configurations based on a natural language prompt describing the desired analysis. Users can request a 'monthly revenue trend by region as a stacked bar' and receive a working visualization without manually configuring chart types, axes, or filters. Useful both for novice users and for accelerating exploratory analysis.
Generates Looker table calculation formulas from natural language descriptions, helping users perform ad-hoc calculations like running totals, percentage changes, or conditional logic without memorizing Looker's expression syntax. The assistant suggests the formula inline and lets users validate the result. Particularly useful for business analysts who don't write SQL.
From ~$5,000/month
Custom (contact Google Cloud sales)
Usage-based (BigQuery, compute, etc.)
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Gemini in Looker has expanded its feature set to include six core AI capabilities â Conversational Analytics, Visualization Assistant, Formula Assistant, Automatic Slide Generation, LookML Code Assistant, and Report Assistant â with continued multi-language rollout across English, Spanish, French, German, Italian, Portuguese, Japanese, Korean, and Chinese. Capabilities continue to roll out in preview and general availability across both Looker (Google Cloud core) and Looker (original) editions.
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