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Home/AI Models/Grok
Grok’s DeepSearch Mode, Explained

Grok’s DeepSearch Mode, Explained

Grok

An explainer on Grok's DeepSearch research mode, how it differs from a standard response, and when it genuinely adds value.

DeepSearch is one of Grok’s more distinctive features, and it’s worth understanding when it actually helps versus when it just adds unnecessary latency.

Rather than answering directly from training data or a single search, DeepSearch pulls from multiple live sources, including real-time X data, before compiling a response. Built for genuinely open-ended research questions, not quick factual lookups.

It genuinely adds value tracking current public sentiment, where live X data is a real differentiator, and on research questions needing several current sources synthesized rather than one authoritative fact.

For a single factual question with a clear, stable answer, the extra research time doesn’t add real value over a direct response. Reserve it for genuinely open-ended or current-events-dependent questions. Learn more directly at x.ai.

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Gemini in Google Workspace: A Guide

Gemini in Google Workspace: A Guide

Gemini

A practical guide to using Gemini inside Google Docs, Gmail, and Sheets, covering the most useful features in each and how to prompt them well.

Gemini’s real advantage over standalone assistants is that it’s already sitting inside Docs, Gmail, and Sheets, so most of the value comes from knowing where to click, not learning a new tool.

Inside Docs, Gemini can draft, summarize, and rewrite directly in an open document, with the document itself as automatic context. “Tighten the second section” works without pasting anything elsewhere first.

Inside Gmail, drafting replies and summarizing long threads are the most immediately useful features. For a thread with dozens of replies, asking for a summary before diving in saves real time.

Inside Sheets, Gemini can build formulas, explain what an existing complex formula does, and generate a first pass at categorizing data already in the sheet. Genuinely useful for people who use spreadsheets constantly but aren’t formula experts, and it uses the same core model covered in our full Gemini guide.

Because it already has the document, email, or sheet as context, being specific about what you want changed produces meaningfully better results than a vague request. See Google’s own Workspace AI page for current features.