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What are the top AI use cases for a PMM?

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3 Answers
AI and Product Marketing
  1. Nisha Goklaney
    Nisha Goklaney

    HubSpot Senior Director of Product Marketing | Formerly Intuit, American Express, Sage • 9mo

    Training AI on your brand voice and using it for content remixing are top use cases for PMMs. We feed our AI systems with our brand voice, keynotes, and style guides so it understands our communication style and the words we use. We've even created a custom GPT 'jargon detector' to identify terms we want to avoid. All our product marketing projects are organized in Claude, providing context on how we describe different product innovations. This human-first input then enables AI to excel at conte ...Read More

    494 Views
  2. Ben Rawnsley-Johnson
    Ben Rawnsley-Johnson

    Stripe Head of Product Marketing, APAC • 9mo

    Custom GPTs for content development that understand your company's brand voice and messaging guidelines are a top use case for PMMs. I've seen examples of custom GPTs being implemented inside companies that understand the organization's heritage, previous artifacts, messaging examples, and products shipped. This context significantly improves first drafts and helps catch messaging 'gotchas' - specific words to use or avoid in your company's messaging. Having these brand guidelines and messaging ...Read More

    472 Views
  3. Chandra Patel
    Chandra Patel

    Salesforce Senior Director of Product Marketing • 9mo

    AI for content development requires disciplined documentation of brand voice and messaging fundamentals. To use AI effectively for content, you need to be a disciplined product marketer with clear documentation of your brand voice, key messaging, and intellectual property. This might seem contradictory - isn't AI supposed to make life easier? Yes, but you need the rigor to document your core assets first. I've found that team members who previously delayed documentation now see real value in it ...Read More

    492 Views

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