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What parts of the PMM job should be outsourced to AI?

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Q&A•Sharebird•Feb 6, 2025
AIFramework

Three categories:

  • Develop your story
  • Land your story
  • Optimize

    • 1. Develop your story

  • Know your market
    1. Desk research on your target personas and segments
    2. Summarize lengthy secondary research (UX research, customer interviews and quant, and if you are in B2B, analyst reports)
    3. Summarize customer calls
    4. Competitive intelligence
  • Customer advocacy – Source hero customer stories and testimonials:
    1. If your company uses a Revenue AI platform, you can mine conversational data to find winning customer stories and soundbites instead of hoping a seller will serve them up for you
  • Naming – Brainstorm naming options for features and products you are launching
  • Messaging – Refine your storytelling with a built‑in copy editor:
    1. Whether it is a keynote script, blog post, social copy, website, or thought‑leadership content, AI is a great built‑in copy editor
  • Creative – Use AI to help generate key visual assets
  • Localization – Let AI do the heavy lifting for translations (text and even audio) so you can quickly scale to many markets

    • 2. Land your story

  • Use AI to predict which customers to target.
  • Use AI to tailor your message to your target audience across channels. Many AI solutions support account‑based marketing and paid media more broadly.
  • When you roll out new messaging or product activations to the sales channel, use AI to track whether sales is adopting your messaging (down to the talk track and slides) and the impact on business results like win rates.

    • 3. Optimize

  • If your media team is using AI‑driven campaigns, understand who you are actually converting:
    1. Your targeted audience may not convert as well as another one.
    2. For example, during a Google Ads campaign, a shelf‑stable food company found that sailing and boating enthusiasts converted as well as doomsday preppers, which radically changed positioning and marketing.
    3. AI can uncover these unexpected pockets of demand.
  • Contextualize product adoption and NPS trends with customer insights gleaned by AI from various customer interactions:
    1. By knowing what customers are saying and feeling, you can better guide product roadmap, positioning, messaging, and go‑to‑market strategies.

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