Thanks to everyone who joined our MarketingProfs Friday Forum, How Marketing Teams Use AI to Create Content That Sells, and a huge thank you to our incredible guest, Meghan Martell from Bruker Applied Mass Spectrometry, for sharing her experiences.
If you missed it and want to watch it in full, it’s available on demand now.
Or, if you just want the TL;DR — here are my top three takeaways:
1. AI is your copilot, not your autopilot.
AI is great at speeding up your content workflows, but it still needs a human behind the wheel. It can be brilliant for things like research, ideation, and first drafts. But when it comes to strategy, tone, and final execution? That’s where your team’s judgment is absolutely necessary.
2. Replace guesswork, not creativity.
For too long, marketers have been building content based on gut feel or anecdotal feedback. Now, AI analytics can actually show us what’s working — what sellers use, what buyers engage with, and what supports business outcomes, like win rates. Meghan’s team even used it to decide which tradeshows and conferences to add to her team’s event calendar. It’s about making smarter, more grounded decisions (and less about just going with “vibes”).
3. You can spot AI overload.
Yes, AI can be helpful. But too much of it? That’s when you start seeing red flags. Weird tone shifts. Awkward transitions. A suspicious love of em-dashes (though I still love an em-dash myself). Bottom line: if it doesn’t feel like you, it probably needs another pass. A little editing and oversight go a long way in keeping that connection strong.
Thanks again for being part of the conversation. What are your biggest takeaways or challenges when it comes to using AI in your content strategy? Drop your thoughts below — I’d love to keep the discussion going. 👇