Looker (Google Cloud) provides enterprise BI with a strong semantic layer (LookML) and emerging Gemini AI integration. Pricing starts at approximately $36,000-$60,000/year with average enterprise costs around $150,000/year based on Vendr’s analysis of 355 deals. Looker Studio Pro (separate product) at $9/user/month includes Gemini AI features for lighter use cases. LookML is a proprietary modeling language combining SQL with semantic definitions—powerful but requiring dedicated expertise (budget 0.5-2 FTEs for development/maintenance). Conversational Analytics enables natural language queries against LookML models. Gemini integration (rolling out through 2024-2025) adds formula generation, semantic model suggestions, and conversational exploration. Supports BigQuery (native optimization), Snowflake, Redshift, SQL Server, PostgreSQL, MySQL, and 50+ databases. Embedded analytics capabilities enable BI integration into custom applications. Page should cover: LookML learning curve and resource requirements, Conversational Analytics capabilities, Gemini integration status, pricing negotiation insights, comparison with Tableau and ThoughtSpot, BigQuery optimization advantages, and embedded analytics use cases.