Use generative AI for marketing
AI is changing the marketing landscape, giving teams and individuals the tools that they need to get more done faster.
How AI tools in Google Workspace benefit marketing
With generative you can quickly craft messaging, evaluate large amounts of information, summarise documents or emails, and automate regular tasks. This gives marketers time to focus on higher-value strategic and creative elements of their work.
Helps you write
With Gemini, you can quickly create first drafts of emails, blog posts, business proposals, ad copy and more.
can also quickly summarise emails and craft replies.
Helps you create images
'Help me visualise' in allows you to enter a simple prompt to generate a custom image. You can further customise by using 'Add a style' to create visuals that feel on-brand and complement your messaging in exciting new ways.
Helps you organise
With just a few words, can help you quickly create a project tracker for your upcoming campaign launch or any other project.
Helps you connect
helps you look and sound your best on customer or agency calls and can even help translate the conversation across multiple languages.
High-impact use cases of generative AI in marketing
Improving campaign performance
Use generative AI to analyse campaign performance, identify improvement areas and craft iterations for A/B testing.
Lowering content creation costs
Use to quickly create a first draft and increase your output without having to scale up your resources.
Deliver personalisation at scale
Craft targeted, personalised messaging with generative AI's ability to analyse large amounts of customer data.
Discover more with our latest Gemini resources
Learn how AI tools in Workspace can inspire and boost productivity.
Explore steps with visual cues for how to do specific marketing tasks.
Learn how to use generative AI to supercharge your marketing efforts
Learn how AI tools in Workspace can inspire and boost productivity.
Explore steps with visual cues for how to do specific marketing tasks.
Learn how to use generative AI to supercharge your marketing efforts
Curious about generative AI in marketing?
See our FAQ to learn more.
Generative AI is just like any other marketing tool in that it has benefits and limitations:
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Generative AI can help marketers save time, automating tasks like generating meeting and email summaries, data analysis and content creation.
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You'll still need to fact check AI-generated content, as a generative AI platform is only as knowledgeable as the data used to train it.
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Generative AI can assist with understanding customer behaviours and improving ad targeting based on historical campaign data.
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Generative AI is best used for repetitive tasks, giving marketers more time to exercise their creativity when crafting marketing campaigns and strategies.
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Because generative AI collects and analyses large data sets based on customer behaviours, it's important to be transparent about data collection and protection measures to reassure customers that their information is safe.
With Google AI, we've reaffirmed . Your privacy is our priority. Your Google Workspace content – including emails, documents, recordings and more – will not be shared with other users without permission. We never sell, delete or export your data. Additionally, while you may use Google Workspace and Gemini to generate your own ad campaigns, Google does not collect, scan or use your content in Google Workspace services for advertising purposes.
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Generative AI can help sales and marketing professionals save time and be more productive at every stage of an engagement. Generative AI can be used to create RFPs and nurture leads with more personalised content. It can be used to create sales materials, and summarise meeting notes with clear takeaways and identifying follow-up opportunities. It can also help generate long-form and short-form content for marketing campaigns, analyse data to inform customer segments, and help measure and improve campaign performance.
Generative AI can be used to tackle a variety of marketing tasks, including content creation and personalisation, as well as analysing customer behaviours and campaign performance.
