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Google Gemini

Google's multimodal AI deeply integrated with Workspace tools

Google Gemini brings AI into Gmail, Docs, Sheets, and Slides while offering native multimodal understanding of text, images, and video. Its deep integration with Google Search and real-time data retrieval makes it uniquely powerful for research-heavy workflows. Gemini 1.5 Pro's long context and native code execution position it as a strong enterprise and developer tool.

Best for

Real-time research with live Google Search grounding

Automating tasks inside Google Workspace (Docs, Sheets, Gmail)

Analyzing images, charts, and mixed-media documents

Writing and executing Python code in a sandboxed environment

Prompt tips for Google Gemini

#1

Prefix research prompts with 'Search the web and then answer:' to trigger real-time grounding

#2

When working in Google Sheets, describe the exact column structure first so Gemini writes accurate formulas

#3

Use 'Compare and contrast in a table' when analyzing two documents — Gemini renders tables cleanly in Workspace

#4

For image analysis, describe what decision you're trying to make so Gemini focuses on relevant details

Sample prompts

Search the web for the latest Q1 2026 earnings reports from Salesforce, HubSpot, and Zendesk. Summarize revenue growth rates and key guidance changes in a side-by-side table.
I'm attaching a screenshot of a bar chart from our analytics dashboard. Identify the top 3 trends, note any anomalies, and suggest two business actions based on what you see.
Using the Google Sheets data I've shared, write an Apps Script function that automatically sends a Slack-style summary email every Monday at 9am listing rows where column D says 'Overdue'.

Pros & cons

Pros

  • Native real-time web search grounding eliminates knowledge cutoff issues
  • Seamless Google Workspace integration reduces context switching
  • Multimodal by default — handles text, images, and video natively

Cons

  • Workspace integration quality varies significantly across Docs, Sheets, and Gmail
  • Responses sometimes over-cite Google products even when alternatives are more relevant

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