The news: Google added integrations to Gemini that pull information and insights from Gmail, Google Chat conversations, and Google Drive files. It can also connect with PDFs, Docs, Slides, and Sheets.

Gemini Deep Research can now draw data from these apps when connected, letting it conduct tasks like market analysis for a new product based on brainstorming documents, per Google.

The feature is available on desktop for all Gemini users, with mobile access rolling out in the coming days.

How it works: The upgrade lets users extract data directly from connected apps, removing the need to manually download files and upload them to Gemini. This could be useful when gathering information from multiple sources, like email, chat threads, and Drive folders.

Why it matters: Gemini is becoming a central intelligence layer that can pull together siloed or fragmented organizational knowledge without manual effort. This addition strengthens Google’s ecosystem integrations and pushes forward its goal of making Gemini an indispensable workplace AI assistant.

For enterprise users, this means faster and more context-rich insights—especially for tasks like internal research, competitive benchmarking, or campaign planning, where information is often scattered across different tools and channels.

Zooming out: Google is working to catch up in the productivity assistant game. Microsoft Copilot and OpenAI’s ChatGPT already have wide integrations that expand beyond their own IP.

• Copilot connects to Outlook, Teams, and OneDrive, as well as Google Calendar, Contacts, and Gmail.
• ChatGPT also connects to Google products as well as Slack, GitHub, and Dropbox.

The challenges: Integrating Gemini across marketing operations could accelerate insight generation, improve collaboration, and reduce research cycles. However, deeper integrations could raise data governance and privacy concerns. Companies need to ensure strict access permissions and oversight as AI assistants start collecting sensitive materials automatically.

What marketers should do: Begin with targeted use cases like analyzing brand sentiment from team discussions or summarizing performance reports. Starting with focused, low-risk experiments can help teams understand Gemini’s strengths and limitations before scaling to larger, higher-stakes marketing analysis.